Job description

Citi is seeking a Lead Market Risk Product Analyst to own the end-to-end user experience for market risk analytics across one of the world's most complex trading environments, translating petabyte-scale risk data into the intuitive dashboards and data models that senior leaders rely on every day. In this role, you will sit at the intersection of quantitative risk, data engineering, and product thinking — designing the semantic layer and analytical front ends that turn raw sensitivities, VaR outputs, and stress P&L calculations into clear, actionable intelligence. Your impact will be felt immediately: the tools you design and the models you build will directly shape how Citi understands and manages market risk at a global scale. Responsibilities • Define and maintain curated data models that serve as a stable semantic layer for all market risk analytics, ensuring user-facing tools remain consistent as underlying data sources evolve. • Design and prototype interactive dashboards in Tableau and Power BI that surface VaR, stress P&L, and risk sensitivity data in formats that are immediately usable by senior risk managers. • Translate the full market risk data lifecycle — from granular sensitivity inputs and full-revaluation pricing outputs through to aggregated risk metrics — into clear, structured data products. • Bridge senior business users in Risk and Markets with technology teams, converting complex business requirements into precise, actionable specifications for data and engineering teams. • Partner with UI/UX and development teams to shape requirements for custom analytical front ends, ensuring every user-facing output is intuitive and performant. • Collaborate with data platform and API engineering teams to evaluate platform capabilities and provide structured feedback that aligns technical delivery with evolving business needs. • Champion a product-oriented approach to analytics delivery, prioritising the clarity, usability, and business relevance of every output consumed by risk decision-makers. Required Qualifications & Skills • Around 10 years of hands-on experience as a Business Analyst, Data Analyst, or Product Owner within a Capital Markets or Market Risk technology function. • Deep expertise in market risk concepts including VaR, Stress Testing, and risk sensitivities, combined with knowledge of financial products and regulatory frameworks such as FRTB. • Demonstrated ability to design data models and semantic layers for business intelligence platforms, with a clear track record of delivering analytics used by senior stakeholders. • Hands-on skills with Tableau or Power BI, including end-to-end dashboard design from requirements through to production delivery. • Proficiency in Python for independent data analysis, exploration, and rapid prototyping of analytical solutions. • Technical grounding in modern data ecosystems, including S3-based storage, in-memory query technologies such as Apache Pinot, and federated query engines such as Apache Trino. • Exceptional communication skills with the ability to explain complex data flows to engineers and translate risk metrics clearly for senior business stakeholders. Beneficial Skills & Qualifications • A combination of technical and financial academic credentials, such as an Engineering or Computer Science degree alongside a CFA, FRM, or CQF qualification. • Familiarity with modern AI tools applied to accelerate requirements gathering, data analysis, or analytical prototyping. • A user-centric approach to analytical problem-solving, with experience designing outputs that balance technical rigour with business usability. What We Offer This is a senior, high-visibility role that places you at the centre of market risk analytics at one of the world's leading global banks. You will work on problems of genuine scale and complexity, with the autonomy to define how risk data is consumed and understood across the firm. • Hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility alongside in-person collaboration. • Strategic ownership of a critical analytics domain, with direct influence over the tools and data models used by senior risk leaders across Citi. • Access to continuous learning and professional development opportunities, including exposure to cutting-edge data platforms and AI tooling in a market-leading environment. • Competitive financial wellbeing support, including a comprehensive benefits package designed to recognise the seniority and impact of the role. • A high-performance team environment where collaboration with top-tier engineers, quants, and risk professionals is built into how the work gets done. • Global scale and reach, working across markets and geographies on risk analytics that matter at an institutional level. Apply now to shape the future of market risk analytics at Citi — and put your expertise to work where data, technology, and financial strategy converge at global scale. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Business Analysis / Client Services ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Getzville New York United States ------------------------------------------------------ Primary Location Full Time Salary Range: $92,000.00 - $138,000.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Sep 09, 2026 ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents – AI Notice and Right ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Requirements

Must-haves

Define and maintain curated data models that serve as a stable semantic layer for all market risk analytics, ensuring user-facing tools remain consistent as underlying data sources evolve.
Design and prototype interactive dashboards in Tableau and Power BI that surface VaR, stress P&L, and risk sensitivity data in formats that are immediately usable by senior risk managers.
Translate the full market risk data lifecycle — from granular sensitivity inputs and full-revaluation pricing outputs through to aggregated risk metrics — into clear, structured data products.
Bridge senior business users in Risk and Markets with technology teams, converting complex business requirements into precise, actionable specifications for data and engineering teams.
Partner with UI/UX and development teams to shape requirements for custom analytical front ends, ensuring every user-facing output is intuitive and performant.
Collaborate with data platform and API engineering teams to evaluate platform capabilities and provide structured feedback that aligns technical delivery with evolving business needs.
Champion a product-oriented approach to analytics delivery, prioritising the clarity, usability, and business relevance of every output consumed by risk decision-makers.
Required Qualifications & Skills
Around 10 years of hands-on experience as a Business Analyst, Data Analyst, or Product Owner within a Capital Markets or Market Risk technology function.
Deep expertise in market risk concepts including VaR, Stress Testing, and risk sensitivities, combined with knowledge of financial products and regulatory frameworks such as FRTB.
Demonstrated ability to design data models and semantic layers for business intelligence platforms, with a clear track record of delivering analytics used by senior stakeholders.
Hands-on skills with Tableau or Power BI, including end-to-end dashboard design from requirements through to production delivery.
Proficiency in Python for independent data analysis, exploration, and rapid prototyping of analytical solutions.
Technical grounding in modern data ecosystems, including S3-based storage, in-memory query technologies such as Apache Pinot, and federated query engines such as Apache Trino.
Exceptional communication skills with the ability to explain complex data flows to engineers and translate risk metrics clearly for senior business stakeholders.
Beneficial Skills & Qualifications
A combination of technical and financial academic credentials, such as an Engineering or Computer Science degree alongside a CFA, FRM, or CQF qualification.
Familiarity with modern AI tools applied to accelerate requirements gathering, data analysis, or analytical prototyping.
A user-centric approach to analytical problem-solving, with experience designing outputs that balance technical rigour with business usability.
Technology ------------------------------------------------------
Business Analysis / Client Services ------------------------------------------------------
Full time ------------------------------------------------------
Getzville New York United States ------------------------------------------------------
$92,000.00 - $138,000.00

Nice-to-haves

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Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness

Professional Development