Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE), the business responsible for the research and development of Aladdin's financial models. This group is also accountable for analytics production, enhancing the infrastructure platform and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community).

The Modelling Research team in AFE is looking for a performance attribution modeller to join the Budapest team to contribute to the modelling and development effort in building and maintaining of Aladdin performance attribution models.

Key Responsibilities:

• Researching, designing new performance attribution models
• Collaborating with software developers to test and release new models into production
• Supporting existing performance attribution models in production; developing and improving model quality control and model performance monitoring; maintaining and extending research framework
• Investigating and resolving client queries relating to model methodology and functionality

Key Skills & Qualifications:

• Graduate degree in a technical field (Maths, Statistics, Computer Science and/or Engineering, Finance, Econometrics, Physics)
• Postgraduate degree in a technical field is a plus
• 6+ years relevant working experience
• Knowledge of Private Markets and Performance Attribution modelling
• Strong programming skills and experience using Python to conduct statistical/econometric analyses
• Knowledge in Unix/Linux, Git is a plus
• Strong knowledge of financial, mathematical, and statistical theory
• Strong oral and written (English language) communication skills that enable complex ideas to be readily understood by team members and clients
• Enthusiasm, flexibility, and maturity to adapt to the needs of a dynamic group and deliver within strict time frame
• Good time management skills including the ability to handle multiple projects

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

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This role owns how Replit understands its customers across every touchpoint. You'll build the analytics and intelligence layer that spans marketing performance, customer signals, and support , turning massive volumes of behavioural data, feedback, and interaction signals into insights that drive growth, retention, and revenue.

You will:

• Design and analyse marketing experiments across paid, lifecycle, and content channels; optimise CAC, LTV, and ROAS
• Build multi-touch attribution and marketing mix models to understand what's driving growth
• Synthesise customer signals , support tickets, social, reviews, CSAT , into automated intelligence that reaches the teams who need it
• Build churn and retention models to identify at-risk users and inform lifecycle intervention strategies
• Define and maintain customer segmentations and personas that drive targeting, messaging, and product decisions
• Build the analytical foundation for Voice of the Customer , connecting qualitative feedback signals to quantitative behaviour data at scale
• Detect emerging product issues and bugs faster by surfacing support signal early enough to shape engineering priorities
• Optimise automation and deflection to reduce support load and improve self-serve resolution rates
• Build the measurement foundation to fully optimise ROI across all support activities
• Use LLMs and agentic workflows to analyse unstructured data at scale and automate recurring analysis
• Create automated reporting that puts key metrics to inform the company

Required Skills and Experience:

• 6+ years of experience in data science with a focus on marketing, growth, or customer analytics
• Strong SQL skills and experience with large-scale event-level user behaviour data; experience designing ETL workflows using dbt
• Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.)
• Experience designing and analysing A/B tests with statistical rigor (sample sizing, significance testing, causal inference)
• Experience building dashboards and visualisations (Hex, Looker, Tableau, Mode, or similar) , ideally automating them
• Demonstrated experience using LLMs/AI tools in analytics workflows , not just prompting, but building automated systems
• Track record of partnering cross-functionally with Marketing, Product, Engineering, Support, and Revenue/Sales teams , not just serving a single stakeholder

Preferred Qualifications:

• Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, Segment, etc.)
• Background in growth analytics, marketing analytics, or conversion rate optimisation at a SaaS or PLG company
• Experience with marketing technology platforms (Google Analytics, Segment, Iterable, Salesforce)
• Experience with attribution modelling, marketing mix modelling, or incrementality testing
• Experience analysing unstructured customer data (support tickets, reviews, social mentions) using NLP or LLM-based approaches
• Understanding of PLG motions and self-serve conversion funnels
• Experience with support analytics, CSAT analysis, or customer experience measurement

Bonus Points:

• Experience analysing freemium or usage-based pricing models
• Understanding of developer tools, collaborative coding environments, or technical products
• Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching)
• Experience building AI agents or automated analytical pipelines using LLM APIs

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You will partner with Growth, Events, and Ops teams to build and expand a cohesive metrics framework that tracks the buyer's journey from the first digital touchpoint to a closed-won deal.

Your mission is to ensure every dollar spent on events and digital tactics is measurable, optimised, and aligned with our long-term revenue goals.

Metrics Framework & Taxonomy: Partner with Marketing Operations, Growth, and Demand Gen teams to define KPIs, performance frameworks, reporting hierarchies, and custom attribution models to determine marketing's impact.

Goal Setting & Forecasting: Lead the annual and quarterly targets setting process. Use historical conversion data to build 'reverse funnel' forecast models that tell us exactly how much traffic and lead volume is required to hit sales targets.

End-to-End Analysis: Analyse the performance of integrated campaigns, comparing the high-touch ROI of field events against the high-volume efficiency of digital channels (SEM, Paid Social, Content Syndication).

Insight Synthesis: Move beyond dashboards to deliver executive-level narratives. You will present weekly updates, monthly/quarterly business reviews to Marketing and Sales leadership.

Data Instrumentation & Orchestration: Partner with Marketing Ops, Revenue Ops, Information Technology, and Data Engineering to ensure instrumentation and capture of data (from Customer Relationship, Marketing Automation, Web, ABM, and other platforms) flows into trusted data sets in our data warehouse.

Testing & Optimisation: Design A/B testing frameworks to measure impact of digital and event tactics and continuously improve marketing ROI.

Scale Decision-Making: Drive the adoption of AI-driven, agentic insights across the marketing organisation to enable faster, smarter decisions.

Who You Are:

• 5+ years in B2B marketing analytics, marketing/revenue ops, or consulting/creative agencies that support marketing.
• You understand the nuances of the B2B 'buying committee' and the 'big deal' sales cycle.
• Communication: Ability to translate 'data speak' into 'business speak' for non-technical stakeholders.
• Stakeholder Management: You have the proven ability to change minds and influence decision making of key Marketing and Sales leaders.
• Experience with:

• CRM/MAP: Expert-level knowledge of CRM and MAP data structures.
• Visualisation: High proficiency in Tableau Desktop.
• Data: Ability to define requirements for integrated data sets from disparate data sources.
• Attribution: Experience defining and utilising multi-touch attribution tools.

Why CoreWeave?:

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

The Base Salary Range: The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location.

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The teams we are hiring to are:

• Model Governance Team
• Single Security Pricing Team
• Performance Attribution Team
• Private Markets SWAT Team

While the specific responsibilities vary by team, all positions focus on building robust, scalable technology and quantitative models that support investment decision making, risk management, and regulatory requirements for BlackRock and its global client base.

You will be part of a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE), the business responsible for the research and development of Aladdin’s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community).

We are passionate about building high quality models to meet the needs of tomorrow and delivering solutions for both BlackRock investment users and over 100 global financial firms. You will have the opportunity to develop in C++, Python or other programming languages, with cutting edge technologies.

Requirements:

• Graduate degree in a technical field (Maths, Statistics, Computer Science and/or Engineering, Finance, Econometrics, Physics)
• Postgraduate degree in a technical field is a plus
• 2+ years of relevant working experience
• Strong programming skills and experience using Python or C++ to conduct statistical/econometric analyses
• Strong knowledge of financial, mathematical, and statistical theory
• Strong oral and written (English language) communication skills that enable complex ideas to be readily understood by team members and clients
• Enthusiasm, flexibility, and maturity to adapt to the needs of a dynamic group and deliver within strict time frame
• Good time management skills including the ability to handle multiple projects
• An ability to translate real business problems into technical solutions
• Ability and willingness to learn fast, multi-task, self-motivate and pick up new things easily.

Good to have:

• Knowledge of Private Markets and/or Performance Attribution modelling background is a plus
• Knowledge of Unix/Linux, Git is a plus
• Stochastic calculus background

Our benefits include retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities.

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Key Responsibilities:

• Own end-to-end PPC strategy and performance across UK, US, and AU, adapting to local market dynamics and commercial targets.
• Manage Paid Search across multiple brands, driving monetisation of voucher and reward-led pages for ecommerce revenue and ROI.
• Manage and optimise Google Ads (including Google Ads Editor) and Microsoft Advertising campaigns, including SA360, with ownership of bid strategies and budgets across high- and low-spending accounts in multiple territories.
• Optimise campaigns for ecommerce performance, balancing traffic acquisition with commercial return, and build audiences to improve targeting and conversion efficiency.
• Take ownership of conversion tracking and measurement frameworks, ensuring attribution models and Floodlight setups are accurate across all brands and markets.
• Partner with tech, analytics, and product teams to implement, maintain, and troubleshoot tracking, resolving discrepancies to ensure reliable reporting.
• Produce clear, commercially focused performance reporting, translating data into actionable insights and communicating results to senior stakeholders, while staying at the forefront of Paid Search developments, researching trends, tools, and AI innovations.
• Collaborate closely with Senior PPC Manager, Rewards, ecommerce, finance, and marketing teams while mentoring junior team members and embedding best practice.

Experience that will put you ahead of the curve…

• Strong experience in Paid Search, with a proven track record of managing and growing high-performing Google Ads and Microsoft Advertising accounts.
• Experience running PPC across multiple international markets, ideally including the UK, US, and/or AU.
• Demonstrated ability to drive ecommerce revenue while maintaining strong ROI, particularly in voucher, rewards, or commerce-led environments.
• Solid technical expertise in conversion tracking, attribution modelling, and PPC measurement.
• Hands-on experience with Floodlight and Google Marketing Platform tools, including SA360 and Ads Editor.
• Confidence working with tech and analytics teams to diagnose and resolve tracking or data issues.
• Excellent understanding of Paid Search metrics, bid automation, auction dynamics, and optimisation levers.
• Strong stakeholder management skills, with the ability to communicate performance and insights clearly.
• Experience supporting or mentoring junior team members is desirable.
• Google Ads and Microsoft Advertising certifications preferred.

What's in it for you

This is a Hybrid role from our Cardiff Office, working three days from the office, two from home

… Plus more great perks, which include;

• Uncapped leave, because we trust you to manage your workload and time
• When we hit our targets, enjoy a share of our profits with a bonus
• Refer a friend and get rewarded when they join Future
• Well-being support with access to our Colleague Assistant Programmes
• Opportunity to purchase shares in Future, with our Share Incentive Plan

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Who are we…

We're Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.

We've got ambitious plans that further build on our growth momentum and unlock new opportunities – and we're looking for driven people who want to be a part of it!

Our Future, Our Responsibility - Inclusion and Diversity at Future

We embrace and celebrate diversity, making it part of who we are.

Different perspectives spark ideas, fuel creativity, and push us to innovate. That's why we're building a workplace where everyone feels valued, respected, and empowered to thrive.

When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It's not just about what you bring to the table — it's about making sure the table has room for everyone.

Because a diverse team isn't just good for business. It's the Future.

Find out more about Our Future, Our Responsibility on our website.

Please let us know if you need any reasonable adjustments made so we can give you the best experience!

#LI-Hybrid

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Responsibilities

• Design and analyse marketing experiments to optimise campaigns, messaging, and channel performance across email, paid ads, social, and content marketing.
• Build attribution models and multi-touch conversion funnels to understand the customer journey from first touch to paid conversion.
• Develop predictive models to identify high-intent prospects, optimise lead scoring, and improve targeting for paid acquisition campaigns.
• Partner with marketing, growth, and revenue teams to translate business questions into rigorous analysis and clear recommendations.
• Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams.
• Build and maintain data pipelines that integrate marketing platforms (Google Ads, Meta, Iterable, Segment, etc.) with our product analytics.

Examples of what you could do

• Build propensity models to identify which free users are most likely to convert to plans based on usage patterns and engagement signals.
• Analyse cohort behaviour and retention patterns to optimise lifecycle marketing campaigns and reduce churn.
• Develop segmentation models to personalise messaging and targeting for different user personas (students, hobbyists, professional developers, enterprise teams).
• Build real-time alerting systems to flag anomalies in campaign performance or conversion metrics, automate bidding adjustments across platforms.

Required skills and experience

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles.
• 4+ years of experience in data science or related roles with a focus on marketing, growth, or business analytics.
• Strong SQL skills and experience working with large datasets, particularly event-level user behaviour data, and designing ETL workflows using dbt
• Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.).
• Experience designing and analysing A/B tests and experiments, including statistical rigor around sample sizing, significance testing, and causal inference.
• Experience building dashboards and visualisations (Looker, Tableau, Mode, or similar tools).
• Ability to translate ambiguous business questions into structured analysis and communicate findings clearly to non-technical stakeholders.

Preferred Qualifications

• Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.).
• Background in growth analytics, marketing analytics, or conversion rate optimisation at a SaaS or PLG company.
• Familiarity with marketing technology platforms (Google Analytics, Segment, Iterable, Marketo, HubSpot, etc.).
• Experience with attribution modelling, marketing mix modelling, or incrementality testing.
• Understanding of PLG (product-led growth) motions and self-serve conversion funnels.

Bonus Points

• Experience analysing freemium or usage-based pricing models.
• Understanding of developer tools, collaborative coding environments, or technical products.
• Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching).
• Familiarity with customer data platforms (CDPs) and event tracking implementation.
• Experience working with sales and customer success data to analyse expansion revenue and upsell opportunities.

Full-Time Employee Benefits Include

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

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