JPMorgan Market Risk E-Trading Management– Associate 

United Kingdom, England, London 

146868787

As a Market Risk E-Trading Risk Management – Associate in the Corporate and Investment Bank (CIB), you will be part of a global team focusing on Macro Markets (Rates, Commodities, and FX asset classes). Based in London, you will review the implementation of controls over e-trading activities, assess the usage of valuation and E-Trading models, and contribute to the development of data analytics tools on market liquidity. The Macro team is part of the wider global ETRM team, spread across London, Mumbai, New York, and Hong Kong.

Job responsibilities

• Define, identify, and set controls required for trading models and E-Trading activities.
• Collaborate with Market Risk Coverage teams, and partner closely with Trading, Business Control Management, Technology, Model Risk Governance & Review (MRGR), and Quantitative Research (QR) on risk appetite review and find effective solutions to business problems.
• Review model risk for valuation models and provide a model view of the risk, including for regulatory purposes; working with Trading, QR, and MRGR.
• Focus on liquidity analysis within analytics work, with additional project opportunities depending on proficiency in coding languages and interest in this area.

Required qualifications, capabilities, and skills

• Strong academic background with a Bachelor’s or Master’s degree, ideally in a quantitative and/or financial field.
• Relevant or related experience
• Good understanding of financial products, including modeling techniques.
• Excellent communication skills to manage a wide range of stakeholders.
• Ability to multi-task, balance multiple priorities, work under pressure, and manage tight deadlines.
• Strong sense of accountability and ownership, work independently, and diligently follow up on time-sensitive issues while balancing multiple projects with tight time constraints.

Preferred qualifications, capabilities, and skills

• Familiarity with several asset classes.
• Good understanding of computer programming languages and coding techniques, such as Python or R.
• Good understanding of Market Risk approaches, namely stress testing, scenario analysis, VaR, risk sensitivities, and limits.
• Experience with intra-day controls aimed at monitoring electronic trading.