We are seeking a strong quantitative candidate (VP level position) to develop deposit models at a premium bank in downtown, NYC. This group plays an important role in the financial management of the Bank. This includes developing the Bank's asset strategy and the analysis and management of market, liquidity and funding risks in the Bank's businesses. Strategists liaise with a number of people, including colleagues in deal teams, risk management, technology, treasury, and firm-wide strategists. We offer exciting opportunities for a strong analytical candidate with good deposit modeling, statistics and software development experience. The role requires good statistical and business knowledge and demonstrated ability to build deposit models that have a sound mathematical backing and at the same time are intuitive and usable by the business. Past experience with internet savings deposits will be a huge plus.
Develop and maintain statistical models and analytics for deposits including non-maturity deposits and term deposits
Analyze deposit behavior and build analytics based on industry data
Develop tools and systems for Asset Liability Management of the balance sheet including interest rate risk, funds transfer pricing and CCAR/DFAST Basic Qualifications
Master's degree in statistics, computer science, math, physics or engineering.
Strong coding skills preferably with a working knowledge of Java, C++, Python or Scala. Knowledge of SecDB/Slang is a plus.
Experience with statistical tools such as SAS and/or R
Good knowledge of ALM and liquidity considerations at Banks