Risk Quant – Quantitative Strategies & Data Group

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Join us!</p><p>We are looking for a highly skilled and analytical Risk Quant to join the Quantitative Strategies & Data Group within Global Markets.

The team develops Python‑based solutions on the Bank’s strategic platform, Quartz, and provides independent review and challenge of risk and P&L calculations.

The team works across all asset classes (Rates / Commodity / Credit / FX / Equity) and collaborates with Quant, Risk, and Front Office Technology teams to deliver strategic and regulatory programmes, including FRTB IMA, Va R, Strategic Risk and P&L, etc.

The role offers strong exposure to market risk methodologies, regulatory requirements and data testing frameworks.</p><h2>Responsibilities</h2><ul><li>Design, develop, implement, and maintain market models (e. g.

Va R) to ensure accurate measurement of risk exposures across trading books, in line with regulatory and internal governance requirements.</li><li>Support the implementation of risk data testing frameworks to assess the appropriateness, completeness, and reasonableness of risk scenarios, Va R, expected shortfall, and stress test calculations.

This includes testing scenario design, implementation, results consolidation, and analyses of calculations to understand key drivers.</li><li>Investigate and categorise data anomalies and inconsistencies in risk outputs.</li><li>Produce clear and structured risk validation reports, highlighting key findings, model code changes required and other recommendations for data quality improvement.</li><li>Partner with Quant developers, Risk and Tech teams to ensure that the solutions are aligned with regulatory expectations and internal governance standards.</li></ul><h2>Qualifications and Skills</h2><ul><li>Masters/Ph D level in Finance, Economics or a quantitative subject (Mathematics, Statistics, Physics, Engineering, Computer Science or other analytical background).</li><li>Proficient in Python, SQL, C++ and other languages.</li><li>Understanding of Va R (full revaluation vs grid‑based methodologies), stressed Va R and Expected Shortfall, P&L Explain (HPL / RTPL), and Regulatory capital requirements including FRTB IMA.</li><li>Experience working in a Quant, Risk or Risk Tech team on regulatory programs (e. g.

FRTB SA or IMA).</li><li>Knowledge of derivative products and valuation concepts, and experience working across various asset classes (Rates / Commodity / Credit / FX / Equity).</li><li>Excellent analytical and problem‑solving skills.</li><li>Strong communication skills, with the ability to articulate complex quantitative concepts clearly.</li></ul><p>We welcome applications from junior candidates with at least 2 years of financial markets experience, as well as from more experienced professionals.</p></div> #J-18808-Ljbffr