Overview

　　Centralized Modeling, Analytics and Operations (CMAO), a team within State Street's Enterprise Risk Management (ERM) department, is looking for an experienced and highly motivated professional with strong quantitative, problem-solving, and communication skills. The primary focus for the position will be to develop quantitative models and tools to assess and analyze risks associated with State Street's investment portfolio which consists of various fixed income securities.

　　Position Duties and Responsibilities

　　The individual must have hands-on experience in quantitative modeling with strong programming skills in Python and R, and possess excellent verbal and written communication skills for interactions within CMAO as well as with internal and external stakeholders including global business partners (e.g. GT business partners, internal and external auditors), and regulators.

　　Primary responsibilities

　　The quantitative analyst is expected to utilize advanced quantitative skills to develop interest rate risk, credit risk and liquidity risk models by directly linking macroeconomic factors to key credit risk drivers for various asset classes held in the investment portfolioDocumenting, defending, and conducting ongoing monitoring of model performance through advanced statistical testing and sensitivity analysisWriting clear technical documentation as well as presenting and defending results to independent Model Validation team, senior management, and regulatorsCollaborating with business partners in the model development processImplementing model in Python/R in a controlled environmentProviding support on special projects, including review, oversight and analysis to support key strategic risk-related initiativesEnsuring appropriate reporting and governance exists to communicate relevant risk information to senior managementGenerating monthly or quarterly risk reporting

　　Qualifications

　　Master's degree or PhD degree in quantitative disciplineAt least 7 years of quantitative modeling experience in a financial institutionIn-depth understanding of statistics, econometrics, multivariate regressions, machine learning and other quantitative finance topicsAdvanced proficiency in using Python and R to perform large dataset analysis and build quantitative modelsSolid knowledge in financial markets and fixed income productsDemonstrated experience in credit risk management, interest rate risk and/or asset liability management.Working knowledge in QRM is a plusAbility to communicate complex concepts to broad audiences, with strong verbal and written communication skillsA demonstrated ability to work independently on complex projects as well as the ability to manage projects/teams/key stake holders in a fast-paced, high-energy level environmentCompetence and confidence to gain credibility and collaborate for success across the organizationResults oriented. Willingness to work in a position with uneven and high priority project workOwnership mindset is a must

　　Salary Range:

　　$130,000 - $205,000 Annual

　　The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.