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Goodfit is seeking a quantitative risk professional to monitor risk metrics daily across trading and banking books and to oversee limit management with prompt escalation of breaches. The role includes preparing daily and weekly risk dashboards for internal use and regulatory requirements.
The candidate will engage in stress testing and contribute to system/model validation, leveraging Excel and programming in Python/SQL/R along with Bloomberg/Reuters terminals to ensure data integrity and robust
Review the data and reports related to the following -
Tracking risk metricslike Value-at-Risk (VaR), Expected Shortfall, and sensitivity analyses on a daily basis across trading and banking books.
Limit management monitoringfor exposure against established risk limits, promptly escalating any breaches to senior management.
Reporting & Compliance:Prepare and/ or review daily, weekly risk dashboards for internal consumption and regulatory requirements.
Stress Testing:Conduct or review output from scenario analyses to gauge how adverse market movements, interest rate shifts, and liquidity crises affect the bank's capital adequacy and profitability.
System & Model Validation:Assist in back-testing risk models, ensuring the accuracy of market data, and supporting the upgrade of treasury and risk
Education:Bachelor’s or Master’s degree in Finance, Economics, Financial Engineering, Mathematics, or a related quantitative field.
Certifications good to have: FRM, CFA
Technical Skills:(Mandatory) Advanced MS Excel is a baseline requirement. (Good to have) Proficiency in Python, SQL, or R and familiarity with risk engines and Bloomberg/Reuters terminals are highly advantageous
Financial Knowledge:
Deep understanding of global markets and instruments (FI/ Derivatives, FX, Equities)
Deep understanding of market risk concepts and models