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We are seeking an experienced Systematic Production Support Engineer to help us scale our systematic operations and support engineering capabilities. 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.

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As a Systematic Production Support Engineer, you will be responsible for building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations. You will work closely with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions, as well as automated systems and processes focused on trading and operations.

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Key responsibilities include:

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Technical qualifications include:

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Preferred skills and experience include:

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

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XML job scraping automation by YubHub

","url":"https://yubhub.co/jobs/job_b33cbd91-bc9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Unknown","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755954716155","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Linux/Unix","PostgreSQL","NLP","supervised/non-supervised learning","Generative AI models","low-latency trading environments","quantitative finance","electronic trading concepts","financial data","equities","futures","FX","distributed systems","backend development","C/C++","Java","Scala","Go","C#","Apache/Confluent Kafka","SDLC pipelines","containerization","orchestration technologies","AWS","GCP","Azure"],"x-skills-preferred":["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"],"datePosted":"2026-04-18T22:14:36.583Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami, Florida, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Python, Linux/Unix, PostgreSQL, NLP, supervised/non-supervised learning, Generative AI models, low-latency trading environments, quantitative finance, electronic trading concepts, financial data, equities, futures, FX, distributed systems, backend development, C/C++, Java, Scala, Go, C#, Apache/Confluent Kafka, SDLC pipelines, containerization, orchestration technologies, AWS, GCP, Azure, 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"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_158e7279-b99"},"title":"Finance Expert - Quantitative Trading","description":"

As a Quantitative Trader at xAI, you will play a key role in improving our advanced AI systems by delivering high-quality annotations, evaluations, and expert input using specialised labeling tools.

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You will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains.

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Your expertise will help select and solve challenging problems in systematic and quantitative strategies , including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimisation under realistic constraints.

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This role requires strong analytical thinking, rapid adaptation to evolving guidelines, and the ability to provide rigorous, technically sound critiques and solutions in a fast-moving environment.

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As a Quantitative Trader, you will directly contribute to xAI's mission by helping train and refine our frontier AI models.

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You will teach the models how quantitative traders reason, model markets, evaluate signals, manage risk, and interact with complex financial data and systems.

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This involves providing high-quality data in various formats (text, voice, video), writing detailed annotations, critiquing model outputs, recording audio explanations, and occasionally participating in structured video sessions.

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We are looking for individuals who are enthusiastic about these data-generation activities, as they form a core part of advancing xAI’s goals in scientific discovery and real-world reasoning.

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Quantitative Traders provide labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation.

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The role may include recording audio responses, participating in video-based tasks, or producing step-by-step quantitative reasoning traces , all of which are essential job functions required to fulfill xAI’s mission.

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All outputs are considered work-for-hire and owned by xAI.

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XML job scraping automation by YubHub

","url":"https://yubhub.co/jobs/job_158e7279-b99","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5040333007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|contract","x-salary-range":"$45/hour - $100/hour","x-skills-required":["Master’s or PhD in a strongly quantitative field","Excellent written and verbal communication in professional English","Deep familiarity with financial data sources and platforms","Exceptional analytical reasoning, attention to detail, and ability to make sound judgments with incomplete information","Professional experience in quantitative trading, systematic strategies, or quant research"],"x-skills-preferred":["Python (pandas, NumPy, SciPy, scikit-learn, PyTorch/TensorFlow, statsmodels, polars, etc.)","R for financial modeling and data analysis","Backtesting frameworks, vectorized computation, and handling large financial datasets","CFA, FRM, CQF, CAIA or similar professional designations","Experience with high-frequency data, execution algorithms, or market microstructure research"],"datePosted":"2026-04-18T15:37:25.871Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"Master’s or PhD in a strongly quantitative field, Excellent written and verbal communication in professional English, Deep familiarity with financial data sources and platforms, Exceptional analytical reasoning, attention to detail, and ability to make sound judgments with incomplete information, Professional experience in quantitative trading, systematic strategies, or quant research, Python (pandas, NumPy, SciPy, scikit-learn, PyTorch/TensorFlow, statsmodels, polars, etc.), R for financial modeling and data analysis, Backtesting frameworks, vectorized computation, and handling large financial datasets, CFA, FRM, CQF, CAIA or similar professional designations, Experience with high-frequency data, execution algorithms, or market microstructure research"}]}