I am working with a reputable International Investment Bank looking to hire talented quantitative individuals to be apart of a long-term team build-out and join their Risk Engineering stress testing team, which oversees the entirety of the firm's Risk Engineering function. This role reports up to the Head of the Group, with direct line of sight into the Head of Portfolio Risk.
This role will be a hands-on and quantitative one, where the design and monitoring of quality checks and data governance for VaR, risk sensitivities, and stress testing will be at the forefront of responsibilities from a day-to-day perspective. The candidate will evaluate all risk from a technical level, covering data breach investigations, model support, and eventually serve as a primary stakeholder for new product implementation and time series projects. Additionally, this employee will be owning the entirety of the VaR back-testing process to ensure proper analysis is taken.
The firm is ideally looking for candidates with at least 1+ years of experience at the Associate-level on a market risk support function, proficiency in Python and SQL, and with prior experience in an institutional bank.
Responsibilities:
Designing and monitoring of quality checks and data governance for VaR, risk sensitivities, and stress testing
Time series maintenance and serving as a primary stakeholder for time series projects
Working with Market Risk on any data breaches or quality issues that could affect VaR sign off
Design a comprehensive data integrity governance process for time series management
Owning the entirety of the VaR back-testing process to ensure proper analysis is taken
Qualifications:
At least 1+ year of experience in a risk management function at an institutional bank
Experience working with historical market data for VaR calculations and other risk metrics
Proficiency in Python and SQL
Strong communication skills along with a strong risk-sensed skillset and technical skills
