Risk Analytics - Risk Management - Vice President

Risk Analytics – Risk Management – Vice President

Master’s degree in a quantitative field such as Finance, Economics, Engineering, or Mathematics, or equivalent experience.
5-10 years of experience at a financial institution, audit firm, or consulting firm, preferably performing a similar function.
Strong analytical thinking and problem-solving skills.
Proficiency in using R and Python for statistical and econometric analysis.
Ability to work independently and manage multiple projects simultaneously.
Attention to detail, a self-motivated team player who thrives in a fast-paced, team-oriented environment.
Excellent communication skills: ability to present complex and technical issues clearly, both verbally and in writing.

Developing, analyzing, explaining, and documenting econometric models and macroeconomic forecasting results used for stress testing purposes.
Participating in econometric modeling and macroeconomic forecasting tasks for BAU and regulatory stress testing needs (climate risk, capital planning, limit setting, budgeting and planning, accounting regimes).
Organizing and analyzing macroeconomic and financial market data from various sources.
Coding in R and Python to enhance variable forecast generation and process automation.
Liaising with risk managers and various business units across the firm to calibrate macroeconomic and financial market variable paths for various forecasting initiatives.
Assisting in economic research, statistical modeling, machine learning and methodology development to enhance the scenario design framework.
Communicating with stakeholders, internal audit, model validation, regulatory agencies and responding to their requests on a timely and accurate basis.
Providing support to software tool development and testing and scenario design documentation.