Collaborate with other technical support engineers who may need assistance working on an issue; utilize his/her area of expertise to help others in order to quickly facilitate solutions for the customer. Build and foster working relationships with trading groups with a focus on execution services team. Work with global counterparts to provide seamless 24/7 global coverage.

Trading Infrastructure / Platform Status Communications – disseminate messages to the appropriate trading staff regarding trading infrastructure / platform issues, exchange updates, etc. Uplift environment management tools to reduce risk and streamline efficiency of support team. Assist with automating processes to achieve efficiency and streamlined trade support.

Document and create new knowledge base to provide the most effective solutions to trading issues. Deployment of, support of, and monitoring of the firm’s internal trading systems. Coordinate with vendors, internal application owners, infrastructure owners, and tech support to ensure trading platforms are correctly installed, configured, and tested.

Liaise with development and infrastructure teams, prioritize tool enhancements, and coordinate and participate in software/new version releases. Liaise with Dev and Infrastructure teams to coordinate and participate in software/new version releases.

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Our team is a specialized group of engineers operating at the intersection of technology and quantitative finance. We function as an internal centre of excellence, providing expert-level solutions, architecture, and hands-on development in AI, Cloud (AWS/GCP), DevOps, and high-performance computing.

As a forward deployed software engineer, you will be responsible for translating complex research requirements into robust, scalable, and secure technical architectures across on-prem, hybrid, and cloud environments. You will write high-quality, production-ready code across the full stack, including Python libraries, infrastructure-as-code (Terraform), CI/CD pipelines, automation scripts, and ML/AI proof-of-concepts.

You will also develop and maintain our suite of managed products, reusable patterns, and best practice guides to provide self-service options and accelerate onboarding for new and existing teams. Additionally, you will act as the primary technical point of contact for embedded engagements, owning projects from discovery and planning through to implementation, knowledge transfer, and support.

To succeed in this role, you will need to have a deep understanding of computer science principles, including data structures, algorithms, and system design. You will also need to have experience working with cloud providers, such as AWS or GCP, and be familiar with infrastructure-as-code concepts. Excellent verbal and written communication skills are also essential, as you will need to build strong relationships with stakeholders and articulate complex ideas to diverse audiences.

Innovative thinking and a passion for AI/ML and its practical applications are highly desirable. Experience designing systems and architectures from ambiguous business needs, as well as experience with scheduling or asynchronous workflow frameworks/services, is also preferred.

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Responsibilities:

• Collaborate with application development teams, technology management, and the business to design, prototype, and implement next-generation web UIs and mobile apps.
• Develop, maintain, and support existing Java Client UI used by a quarter of the firm.
• Contribute to the application development and architecture of highly scalable real-time UIs.

Qualifications, Skills, and Requirements:

• 5+ years of full-stack development experience, preferably within a financial services firm supporting real-time UIs.
• Expertise with Core Java and Spring.
• Excellent grasp of data structures and algorithms and the ability to learn and adopt new technologies quickly.
• Familiarity with database technologies – Advanced SQL, NoSQL, Time-series databases (KDB).
• Experience with event-driven architecture using message bus and caching technologies like Solace, Kafka, Pulsar, Memcached, Redis.
• Experience working with various monitoring tools like Datadog, ELK stack.
• A strong interest in financial markets and a desire to work directly with investment professionals.
• A good team player with a strong willingness to participate and help others.
• Drive to learn and experiment.

Nice-to-have:

• Proficiency with Angular UI is preferred; React will also be considered.
• Familiarity with equities and equity derivatives within a real-time electronic trading environment is preferred.
• Experience with KDB+ q or C/C++.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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The team includes low-latency Linux, network, datacenter, and C++ engineers focused on our end-to-end trading stack.

Key responsibilities include monitoring and assessing the quality of live and historical market data, detecting, inventorying, and remedying data gaps, maintaining and documenting exchange session times, holiday schedules, timestamp rules, and protocol/microstructure changes, analyzing latency, data rates, bursts, and message flows to understand microstructure behaviour and system performance, cleaning, transforming, and managing an inventory of large-scale datasets, building and improving tools for market data capture, working with vendors and brokers to assess and provision datasets, building and improving tools for data analysis, visualization, and diagnostics on top of captured market and network data, enhancing and extending C++ analytics libraries and exposing them within a Python environment for systematic research and alpha development, and collaborating closely with portfolio managers, quantitative researchers, and engineers to translate trading use cases into robust data and tooling solutions.

Qualifications include a Bachelor's or Master's in Computer Science, Mathematics, Statistics, Engineering, or another quantitative field, or equivalent experience, 3+ years of experience in financial markets, electronic trading, or high-frequency/systematic environments, strong programming skills in Python, C++, and SQL, solid understanding of modern statistical testing methods and comfort working with large, noisy, real-world datasets, experience with Linux, large-scale data processing, and preferably network data (PCAP, timestamping, PTP) and low-latency systems, and strong problem-solving skills, attention to detail, and effective communication with both technical and non-technical stakeholders.

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The systematic data group is looking for a Data Operations Analyst to join our growing team. The team consists of content specialists, data scientists, analysts, and engineers who are responsible for discovering, maintaining, and analysing sources of alpha for our portfolio managers.

This is an opportunity for individuals who have a strong background in quantitative investing and are passionate about working with data.

The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology, and financial markets.

Principal Responsibilities

• Efficiently monitor data flows across various systems, ensuring accuracy, completeness, and timeliness.
• Maintain and enhance the functionality and efficiency of our in-house data monitoring systems.
• Recommend and implement improvements to optimise data processing and quality.
• Design, build, and manage efficient and scalable data ingestion and ETL pipelines. Ensure smooth data flow from various sources into our core systems.
• Liaise with stakeholders across the organisation to understand their data requirements and support their initiatives.
• Actively engage with data issues in our production operation environment and aim to provide high-quality support on solving the issue both internally or with vendors.

Qualifications/Skills Required

• Master's or Bachelor's in computer science, mathematics, statistics, or other field with good coding skills.
• 2+ years of financial industry experience preferred.
• Programming expertise in Python, C++, Java, or C#.
• Programming skills in SQL, PL-SQL, or T-SQL.
• Strong problem-solving skills.
• Strong communication skills.

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The successful candidate will join a global team responsible for designing and developing Equities Volatility, Risk, PnL, and Market Data systems.

You will work hands-on with other developers, QA, and production support, and will partner closely with Portfolio Managers, Middle Office, and Risk Managers.

We are looking for a very strong senior engineer with deep knowledge of equity derivatives products and their pricing and risk characteristics.

You must be a highly capable hands-on developer with a solid understanding of front-to-back trading system workflows, especially pricing and risk.

Excellent communication skills, strong ownership, and the ability to work effectively in a fast-paced, collaborative environment are essential.

Experience in Unix/Linux environments is required; exposure to cloud and containerization technologies is a plus.

Principal Responsibilities

• Design, build, and maintain real-time equity derivatives pricing and risk systems (including volatility and PnL components).

• Implement robust, scalable, and low-latency server-side components in a multi-threaded environment.

• Collaborate with portfolio managers, risk, and middle office to translate business requirements into technical solutions.

• Contribute to UI components as needed (and learn new UI technologies where required).

• Write clear technical documentation and maintain system design and support guides.

• Develop and execute automated tests using approved frameworks; ensure production quality and reliability.

• Provide level-3 support, troubleshooting, and performance tuning for production systems.

Qualifications & Skills

• 7+ years of professional experience as a server-side software engineer.

• Deep understanding of equity derivatives products (options, volatility products, exotics) and their pricing and risk measures (e.g., Greeks, PnL attribution).

• Strong experience with concurrent, multi-threaded, and low-latency application architectures.

• Expertise in Object-Oriented design, design patterns, and best practices in unit and integration testing.

• Experience with distributed caching and replication technologies.

• Solid knowledge of Unix/Linux environments is required.

• Experience with Agile/Scrum development methodologies is required.

• Exposure to front-end/UI technologies (JavaScript, HTML5) is a plus.

• Experience with cloud platforms and containerization (e.g., Docker, Kubernetes) is a plus.

• B.S. in Computer Science, Mathematics, Physics, Financial Engineering, or related field.

• Demonstrates thoroughness, attention to detail, and strong ownership of deliverables.

• Effective team player with a strong willingness to collaborate and help others.

• Strong written and verbal communication skills; able to explain complex technical and quantitative topics to non-technical stakeholders.

• Proven ability to write clear, concise documentation.

• Fast learner with the ability to adapt to new technologies and business domains.

• Able to perform under pressure, work with ambitious team members, and handle changing priorities.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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This role directly supports portfolio management teams across Millennium, with operational excellence at the core. Our efforts are focused on delivering the highest quality returns to our investors – providing a world-class and reliable trading and technology platform is essential to this mission.

This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.

Principal Responsibilities:

• Build, develop and maintain a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations.
• Work with portfolio managers and other internal customers to reduce operational risk through:
• Implementation of monitoring, reporting, and trade workflow solutions.
• Implementation of automated systems and processes focused on trading and operations.
• Streamlining development and deployment processes.
• Implementation of MCP servers focused on assisting rest of the Support Engineering team as well as proactively monitoring production environment.

Technical Qualification:

• 5+ years of development experience in Python.
• Experience working in a Linux / Unix environment.
• Experience working with PostgreSQL or other relational databases.
• Ability to understand and discuss requirements from portfolio managers.

Preferred Skills and Experience:

• Understanding of NLP, supervised/non-supervised learning and Generative AI models.
• Experience operating and monitoring low-latency trading environments.
• Familiarity with quantitative finance and electronic trading concepts.
• Familiarity with financial data.
• Broad understanding of equities, futures, FX, or other financial instruments.
• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#.
• Experience with Apache / Confluent Kafka.
• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline).
• Experience with containerization and orchestration technologies.
• Experience building and deploying systems that utilize services provided by AWS, GCP or Azure.
• Contributions to open-source projects.

The estimated base salary range for this position is $100,000 to $175,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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In this role, you will play a pivotal part in building and enhancing Equity Volatility Risk and P&L system that supports our Equity Volatility Managers.

This is an exciting opportunity to work in a fast-paced hedge fund environment, where your contributions will directly impact trading performance and risk management capabilities.

The ideal candidate will bring a combination of technical expertise and business domain knowledge for developing robust, scalable systems.

Principal Responsibilities:

• Design, develop, and implement a robust risk system for Equity Volatility trading strategies.
• Build and maintain scalable, high-performance server-side application using Java and Spring Boot frameworks.
• Build and integrate exotic pricing models to handle pricing and lifecycle of the product.
• Provide level-3 support, troubleshooting, and performance tuning for production systems.
• Proactively address system bottlenecks and implement solutions to ensure the platform remains robust.
• Conduct code reviews and implement automated testing to ensure the reliability and quality of the system.
• Write clean, maintainable, and testable code, adhering to best practices in software engineering.

Qualifications/Skills Required:

• Proficiency in Java development with experience in building scalable, high-performance systems.
• Strong knowledge of Spring Boot and its ecosystem for developing microservices.
• Experience with Python for scripting and automation.
• Experience in distributed caching technologies (e.g. Ignite, or similar).
• Familiarity with containerization technologies (e.g. Podman, Kubernetes) and cloud computing platforms (e.g. AWS).
• Solid understanding of software development best practices, including version control (e.g. Git), CI/CD pipelines, and automated testing frameworks.
• Previous experience working with Equity Derivatives in a sell-side or buy-side firm.
• Strong understanding of equity derivative products such as options and futures.
• Some understanding of structured products in terms of pricing, lifecycle, and risk characteristics.
• Strong problem-solving skills and the ability to work effectively in a fast-paced, high-pressure environment.

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Principal Responsibilities:

• Develop and maintain high-quality C++ code for our trade capture system
• Collaborate with cross-functional teams to identify and prioritize feature requirements
• Design and implement efficient algorithms and data structures to meet system performance goals
• Troubleshoot and resolve complex technical issues in a timely manner
• Participate in code reviews and contribute to the improvement of our codebase

Qualifications:

• Bachelor's degree in Computer Science or a related field
• 7+ years of experience in developing C++ server-side applications in Linux
• Strong understanding of network programming and Linux O/S internals
• Strong understanding of object-oriented programming and data structures
• Understanding of SQL and relational databases
• Knowledge in Equities, Futures, FX, Options, and various Fixed Income products is strongly preferred

Benefits:

• Competitive total compensation package including base salary, discretionary performance bonus, and comprehensive benefits
• Opportunity to work with a talented team of professionals in a dynamic and fast-paced environment
• Flexible working hours and remote work options

When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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We are looking for a strong technical leader with financial markets technology experience and real-time market data expertise to design, build, and support our global real-time market data platform. This role emphasizes technical leadership, architectural ownership, and cross-team coordination rather than people management.

Principal Responsibilities:

• Act as the technical owner for a major market data workstream, setting technical direction, defining architecture, and driving execution across the full lifecycle.
• Collaborate with hardware and software teams across divisions to design and build real-time market data processing and distribution systems.
• Lead and drive new technical initiatives for the team, including evaluating technologies, defining standards, and establishing best practices.
• Design and develop systems, interfaces, and tools for historical market data and trading simulations that increase research productivity.
• Architect and implement components of an enterprise market data platform, including components for caching, aggregation, conflation and value-added data enrichment.
• Optimise platform performance using network and systems programming, and advanced low-latency techniques (CPU, NIC, kernel, and application-level tuning).
• Lead the design and maintenance of automated test and benchmark frameworks, and tools for risk management, performance tracking, and system validation.
• Provide technical leadership for the support and operation of both enterprise real-time market data environments, including coordinating internal, vendor, and exchange-driven changes.
• Design and engineer components to automate support and management of the market data platform, including monitoring, real-time and historical metrics collection/visualisation, and self-service administrative/user tools.
• Serve as a primary technical liaison for users of the market data environment (Portfolio Managers, trading desks, and core technology teams), translating requirements into robust technical solutions.
• Lead the enhancement of processes and workflows for operating the market data platform (release/deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs).
• Mentor and influence other engineers through code reviews, design reviews, and hands-on guidance, fostering a culture of technical excellence and accountability.

Qualifications / Skills Required:

• Degree in Computer Science or a related field with a strong background in data structures, algorithms, and object-oriented programming in modern C++.
• Deep understanding of Linux system internals and networking, especially in low-latency and high-throughput environments.
• Strong knowledge of CPU architecture and the ability to leverage CPU capabilities for performance optimisation.
• Demonstrated experience acting as a technical lead or senior engineer owning complex systems or workstreams end-to-end (design, delivery, and operations).
• Able to prioritise and make trade-offs in a fast-moving, high-pressure, constantly changing environment; strong sense of urgency, ownership, and follow-through.
• Strong belief in and practice of extreme ownership, with a track record of taking accountability for systems in production.
• Effective communication and stakeholder management skills: able to work closely with business and technology users, understand their needs, and drive appropriate technical solutions.
• Experience building solutions on cloud environments such as GCP and AWS.
• Knowledge of additional programming languages such as Java, Python, or scripting (Perl, shell).
• Technical background in application development on complex market data systems (e.g., Bloomberg, Thomson Reuters, etc.).
• Experience supporting market data environments within a global organisation, including internally developed DMA feed handlers and distribution infrastructure.
• Strong understanding of market data concepts and functionality, including data models (fields/messages), protocols (e.g., snapshot + delta), order book representations (L1/L2/L3), recovery, and reliability.
• Hands-on Site Reliability Engineering or DevOps experience, including system administration, automation, measurement, and release/deployment management.
• Experience with monitoring, metrics, and command/control tooling for distributed market data platforms, with the ability to evaluate existing solutions and drive enhancements across development and operations.
• Ability to operate with a high level of thoroughness and attention to detail, demonstrating strong ownership of deliverables and production systems.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalising an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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At Equity IT, we are modernizing the way the firm interacts with its order flow and trading tools. As a Technical Product Manager for our Next-Gen UI Platform, you will be the critical link between internal stakeholders (trading desks, risk managers, middle office, and other operational teams) and the UI engineering team.

Working closely with UI Engineering and its leadership, you will help build and evolve an extensible UI component library that serves as the set of building blocks for a cohesive user experience across all of Equity IT's internal UIs.

You will partner with business SMEs across the firm to translate UI and business requirements into clear, functional product requirements for engineers.

You will own and refine a central backlog of UI requests, perform gap analyses on the component library, and produce a product roadmap that balances quick wins with long-term strategic adoption.

In this role, you will support the delivery of new UIs and features end-to-end, acting as the primary liaison for product updates, timelines, and priorities with internal stakeholders.

You will also coordinate with backend and platform teams to ensure the right services and data are in place to support new UIs and use cases.

This role is pivotal in shaping Equity IT's next-gen UI strategy and improving the efficiency and consistency of users' day-to-day workflows across the firm.

Key Responsibilities:

• Develop a product strategy for the next-gen internal UI platform and component library used across trading and related functions.

• Maintain a product roadmap that balances near-term deliverables with long-term strategic goals and broad adoption.

• Own and manage the UI product backlog in close partnership with engineering, project management, and stakeholders.

• Work with the UI Engineering team to create and evolve an extensible, reusable UI component framework, optimizing for a familiar, consistent UX across disparate screens and business areas.

• Perform gap analyses to identify missing or underutilized components and drive their design, prioritization, and implementation.

• Develop and maintain strong, trust-based relationships with internal users so they are comfortable bringing pain points and ideas to you.

• Evangelize the UI platform and component library within the firm, ensuring stakeholders are aware of new capabilities and best practices.

• Translate business and workflow needs into clear, actionable product requirements with an emphasis on usability, performance, and workflow efficiency.

• Balance and negotiate competing priorities across stakeholders and work with teams across Trading Technology and other internal platforms to deliver new tools and features.

• Collaborate with product managers and UX/design partners supporting other areas to enable a unified UI strategy and seamless workflows across all internal tools

Skills Required:

• 8–10+ years of experience as a Product Manager or Technical Product Manager building complex internal or enterprise applications; experience with trading technology UIs is strongly preferred.

• Professional work experience with Figma in an enterprise level environment with respect to workflows and information layout, prototyping complex interactions, defining information hierarchy, standardizing components, and similar.

• Experience working in or closely with front-office or high-intensity operational environments (for example, trading, risk, analytics, operations, or analogous environments in other industries such as fintech, SaaS, or data-heavy platforms).

• Demonstrated experience defining and delivering UI platforms or component libraries/design systems in partnership with engineering (and ideally UX/design).

• Strong technical fluency and the ability to work closely with UI engineers and backend/platform teams on data, performance, and integration considerations

• Proven ability to translate complex business workflows into intuitive, cohesive user experiences and detailed product requirements.

• Entrepreneurial mindset; able to operate autonomously, drive structure in ambiguous environments, and influence without direct authority.

• Comfortable navigating ambiguity and thriving in a lean, fast-paced environment with many stakeholders and competing priorities.

Meaningful Differentiators:

• Experience with latest CSS styling libraries/capabilities

• Typescript/React

• HTML5 technologies

Salary Range: $175,000 to $250,000

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The Core Technology Production Support team supports a suite of business-critical financial applications used by Middle Office, Operations, Treasury, and Trading. These platforms are central to the firm's PnL, risk, cash, trade processing, and regulatory reporting workflows.

Principal Responsibilities:

• End to end ownership of the production environment
• Infrastructure management
• Release planning and deployment
• Incident and problem management, including root cause analysis
• Capacity Planning / BCP Testing
• Build strong relationships with development and end-users/clients
• Foster the DevOps culture
• Focus on client service and delivery
• Become the go-to person for your area of responsibility
• Build subject matter expertise
• Create and maintain high quality documentation and runbooks
• Cross train other Support team members

Qualifications/Skills Required:

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
• Minimum 2+ years’ experience supporting an enterprise environment
• Must have previous experience supporting business facing applications
• Strong scripting skills in one of the following: Python (preferred), PowerShell, Perl, etc.
• Excellent SQL skills and knowledge of various database systems
• Must be able to run and understand complex queries
• Ability to support both Windows and Unix/Linux environments

Preferred Skills:

• Experience working in a trading environment
• Exposure to the following:

• CI/CD (Jenkins/Octopus/Artifactory)
• Metrics/KPIs (Datadog/Influx/Tableau)
• Kafka
• Kubernetes
• AI (MCP/Agents)

The estimated base salary range for this position is $100,000 to $175,000, which is specific to New York and may change in the future.

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In this role, you will work collaboratively with brokers, exchanges, ECNs, and third-party platforms across all asset classes and regions. You will be responsible for troubleshooting production issues in a Level 3 support environment and have excellent written and verbal communication skills.

To be successful in this role, you will need strong experience in financial markets technology, including Java development, FIX protocol, and Linux development. You will also need a strong understanding of object-oriented programming, networking protocols, and market structure across equities, futures, options, and FX.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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The ideal candidate should have a proven track record in developing and maintaining Java-based front-end applications in the finance sector. Exceptional team collaboration skills and the ability to work effectively with colleagues across global time zones are crucial.

Millennium strongly prioritizes our synergistic culture, which revolves around teamwork and low egos. You should possess the ability to work in a fast-paced environment both collaboratively and individually while managing multiple projects simultaneously.

The successful individual will have a strong sense of urgency, emotional intelligence, and prioritize a high-caliber end-user experience.

Qualifications:

• Bachelor’s degree in computer science or comparable
• 7+ years of professional experience with Core Java and Java Swing, electronic trading systems and/or trader workstations environment strongly preferred.
• 5+ years of experience working with HTML, JavaScript, CSS, and JQuery
• Deep understanding of multithreading and distributed systems within a high performance, latency-sensitive environment
• Strong knowledge of unit testing frameworks and continuous test-driven development practices
• Enterprise level experience with design patterns such as MVC, MV, MVP
• Enterprise level experience with RESTful web services
• Previous experience liaising with non-technology stakeholders, polished and proactive communication skills

Beneficial/Ideal Technology Experience:

• EXT-JS, AngularJS, AJAX, JSON experience is very beneficial
• Knowledge of equities, futures, options and other asset classes is preferred
• Enterprise level experience with OMS architecture and design is preferred
• Experience with messaging middleware, Solace preferred
• Experience with relational and NoSQL databases. MongoDB preferred
• Experience working with financial data, including reference data, market data, order/execution and positions data.
• Experience working with Cloud: AWS (preferred), GCP or Azure

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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Responsibilities:

• Collaborate with cross-functional teams to develop and implement real-time algorithmic trading systems and execution platforms.
• Design, build, and maintain high-quality software to meet product performance and quality expectations.
• Stay current on state-of-the-art technologies and tools, including technical libraries, computing environments, and academic research.
• Troubleshoot and resolve complex issues with our critical trading infrastructure.

Requirements:

• Strong server-side Java knowledge, including Spring Boot framework.
• Experience with financial order/execution data, positions data, and market data.
• Knowledge of equities, options, SOR, VWAP, algorithmic trading platforms, or market microstructure.
• High focus on testability of programs (TDD/XP-based development preferred).
• Experience with proprietary Java frameworks and design patterns.
• Good DevOps understanding to drive testing automation.

Preferred Qualifications:

• 5+ years of development experience in Algos or order management systems.
• Good understanding of Asia equities markets, including auctions, microstructure, and regulatory constraints.
• Experience with inventory optimization in developing markets in Asia (non-give up) highly desirable.
• Good team player with excellent written and oral communication skills.
• Quick thinker and problem solver, able to think on their feet and make informed decisions.

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In this role, you will work closely with the business to gather and synthesise requirements, analyse data dependencies, and create project plans. You will also be responsible for managing day-to-day project deliverables, highlighting and escalating issues, and resolving conflicts and roadblocks.

Key responsibilities include:

• Working with the business to gather and synthesise requirements across both investment teams and core business asks
• Analysing upstream/downstream data dependencies and creating the necessary BRD/FRD, JIRA, and project plans
• Managing day-to-day project deliverables; highlighting, escalating, and resolving issues, conflicts, and roadblocks
• Creating user guides and other documentation that will be used to onboard new users to the platform
• Creating and maintaining product roadmaps and other project artifacts required to manage stakeholder expectations
• Coordinating/ tracking development tasks, testing, and verifying releases to ensure user requirements are being met

Required skills include subject matter expertise in Equities Derivatives, working knowledge of Equities Derivatives market data, pricing, and risk management methodologies, hands-on BA/PM experience working on proprietary derivatives pricing, analytics, and risk management systems, and high-level understanding of Asia Equities Options markets and requirements around listed options execution infrastructure.

Qualifications include 6+ years of experience in a relevant BA/PM role, experience working in a scrum environment, working knowledge of JIRA, development background or CFA, and basic understanding of Python and ability to read Java code to extract what is developed.

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The systematic data group is looking for a Quantitative Developer to join our growing team. The team consists of content specialists, data scientists, engineers, and quant developers who are responsible for discovering, maintaining, and analysing sources of alpha for our portfolio managers.

The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology, and financial markets.

Principal Responsibilities:

• Use finance knowledge and statistical knowledge to analyse potential alpha sources and present findings to portfolio managers and quantitative analysts.
• Build quant tools to help portfolio managers research, evaluate, combine alphas, and understand risks.
• Design and maintain tools to evaluate and monitor data quality and integrity for a wide variety of data sources.
• Engage with vendors, brokers, and perform analytics to understand characteristics of datasets.
• Interact with portfolio managers and quantitative analysts to understand their use cases and recommend datasets to help maximise their profitability.

Skills Required:

• 3+ years of work experience as a financial engineer, data scientist, or quant developer.
• Strong knowledge of Python and/or C++, Java, C#.
• Familiarity with data pipeline engineering, ETL for large datasets, and scheduling tools like Airflow.
• Strong SQL and database experience including PL-SQL or T-SQL.
• Understanding of typical software development lifecycle and familiarity with: Linux, GitHub, CI/CD.
• Ph.D. or Masters in computer science, mathematics, statistics, or other field requiring quantitative analysis.

Beneficial Skills and Experience:

• Understanding of risk models and performance attribution.
• Experience with financial markets such as equities and futures.
• Knowledge of statistical techniques and their usage.

The estimated base salary range for this position is $165,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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In this role, you will play a critical role at the intersection of technology and trading, delivering order routing and internal liquidity products that optimize execution and drive savings for the firm.

Principal Responsibilities:

• Work with Execution Services and other internal stakeholders to gather and synthesise requirements across our algorithmic trading strategies.

• Drive the strategic expansion of the internal algo platform into new markets and asset classes.

• Analyse upstream/downstream data dependencies and create the necessary documented requirements, JIRAs, and project plans for core execution components.

• Create user guides and technical documentation to support the onboarding of new PMs and desks across our platforms.

• Create and maintain product roadmaps and artefacts required to manage stakeholder expectations across Trading and Technology.

• Manage day-to-day project deliverables; highlight, escalate, and resolve issues, conflicts, and roadblocks in a fast-paced trading environment.

Qualifications:

• 10 years of experience as a Technical Business Analyst or Project Manager in an enterprise-level FinTech environment.

• 5+ years of relevant trading technology experience, ideally on the buyside, and comfortable interacting with front-office, non-technical personnel.

• Subject matter expertise in Electronic Execution and Market Microstructure (Equities required, Futures highly preferred).

• Impactful individual contributor: Be able to lead a wide range of projects front to back.

• Technical skills: Self-sufficient with SQL for trade data analysis and troubleshooting. Experience with KDB/Q and/or Python for data analysis preferred. Experience with sequencer-based platforms is also desired.

• Communication: Strong communication skills and the ability to work effectively in a team environment.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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