​A 3-hour masterclass for aspiring STEM/Tech/Middle Office professionals to break into the trading floor as a Market Risk Analyst | Delivered by Ray, a practicing Quantitative Market Risk Manager ​Overview ​Most quantitative candidates targeting market risk hit a similar roadblock: they understand probability distributions and Python, or trade operations and P&L, but they struggle to articulate how a market risk manager actually partners a trading desk to quantify and manage market risk and to safeguard the firm. ​Designed by a practicing market risk manager, this intensive, 3-hour live masterclass bridges theory and practical implementations (on Google Sheets) to bridge the gap between theory and practice and equip you with the most important mindsets and "tools of the trade" — so that you are empowered to demonstrate you are desk-ready from Day 1 and secure your market risk analyst offer. ​To ensure high engagement and individualized feedback on your model submission, cohort capacity is strictly capped at 10 participants. ​Who This Is Built For ​This workshop is designed for quantitative career switchers and technical candidates targeting market risk and counterparty risk roles: - ​Quantitative STEM Graduates (Math, Physics, Engineering): Translate your statistical and calculus background into commercial banking risk and regulatory architecture, 2LoD limit governance, and cross-asset risk profiles. - ​Software Engineers & Data Scientists: Channel your programming and analytical toolkit directly into trading market risk modeling, stress testing, and capital metrics. - ​Finance & Middle Office Professionals (Product Control, Valuations, Risk Ops): Move beyond trade lifecycles and daily P&L into technical fluency with Greeks, FRTB SbM curvature, and Historical VaR engines to step into a desk-facing role. ​🎯The 3-Hour Agenda - ​Module 1: The Market Risk Function (20 min) - ​2LoD ecosystem, the Day-to-Day of a Market Risk Analyst, and the critical mindset/approach of a commercial risk partner to the trading desk.

​ Most quantitative candidates targeting market risk hit a similar roadblock: they understand probability distributions and Python, or trade operations and P&L, but they struggle to articulate how a market risk manager actually partners a trading desk to quantify and manage market risk and to safeguard the firm. ​To bridge that gap, I am running the inaugural pilot cohort of the Market Risk Analyst Accelerator next Saturday, October 10, 2026, from 9:30 AM to 12:30 PM BST. Designed from the perspective of a practicing market risk manager, this intensive 3-hour live masterclass interleaves theory and practical implementation (on Google Sheets) to equip you with the mindsets and quantitative tools needed to prove you are desk-ready from Day 1. ​To keep the session highly interactive and more personalised, attendance is strictly capped at 10 participants. ​Who This Is Built For ​This workshop is designed for quantitative career switchers and technical candidates targeting market risk and counterparty risk roles: - ​Quantitative STEM Graduates (Math, Physics, Engineering): Translate your statistical and calculus background into commercial banking risk and regulatory architecture, 2LoD limit governance, and cross-asset risk profiles. - ​Software Engineers & Data Scientists: Channel your programming and analytical toolkit directly into trading market risk modeling, stress testing, and capital metrics. - ​Finance & Middle Office Professionals (Product Control, Valuations, Risk Ops): Move beyond trade lifecycles and daily P&L into technical fluency with Greeks, FRTB SbM curvature, and Historical VaR engines to step into a desk-facing role. ​The 3-Hour Agenda - ​Module 1: The Market Risk Function (20 min): ​2LoD ecosystem, the Day-to-Day of a Market Risk Analyst, and the critical mindset/approach of a commercial risk partner to the trading desk. - ​Module 2: The Market Risk Quantitative Toolbox (Part 1: 45 min | 15-min Break | Part 2: 45 min): Understand Value-at-Risk (VaR)/Expected Shortfall (ES), Sensitivities (Greeks), Stress Testing, FRTB Standardised Approach (SA) theory and practice (live spreadsheet workings and explanations).

When shifting from Value at Risk (VaR) to Expected Shortfall (ES) under FRTB, the primary mathematical property restored is __________, which ensures that portfolio diversification is always recognized. Comment your answer below!

Role: Market Risk Manager Company: NatWest Group Location: London, England, United Kingdom (Hybrid) Link: https://www.linkedin.com/jobs/view/4474527466/ About the job Join us as a Market Risk Manager * You'll join a dynamic working environment and manage risk coverage of the top global Commercial and Institutional Capital Markets franchises * In this trading floor-based role, you'll be working closely with the trading and structuring business * With the opportunity to further develop an extensive range of skills and knowledge, this varied role also offers excellent exposure to our business and its senior stakeholders What you'll do As a Market Risk Manager, you'll be implementing agreed risk appetites, including monitoring adherence and appropriately escalating breaches. Your Role Will Also Involve * Understanding, reviewing, and challenging trading business strategies at the portfolio and deal level, and highlighting and escalating issues and any unusual trading activity * Supporting senior management in the development of the risk appetite and the implementation of the market risk limit framework * Developing a detailed knowledge of financial markets, investment strategies, liquidity management and key income drivers * Reviewing trade proposals, and non-standard deal documents and making recommendations on approval dependent on with market risk methodology on improvements * Maintaining interaction between market risk, the relevant business, finance, quants and any other relevant stakeholders The skills you'll need To succeed in this role, you'll hold a formal banking qualification or equivalent professional experience with accreditation aligned to the role or be willing to work towards one. You'll Also Need * Technical expertise in credit and rates products, both vanilla and structured * To be a clear and confident communicator across all levels of seniority * To be driven, independent and able to enhance existing processes

When preparing for market risk and counterparty risk desk roles, it's sometimes unclear where to focus your effort first. On one hand, pricing models provide the micro-level physics of how payoffs and sensitivities behave. On the other hand, risk engine mechanics focus on how those standalone position risks aggregate across complex portfolios under stressed conditions. Which would you prioritise learning? Drop your vote above, and share the reasoning behind your choice below!