Quantitative Risk Analyst (multiple positions)(State Street Bank And Trust Company; Boston, Massachusetts): The Quantitative Risk Analyst will focus on delivering modeling and analytics solutions to business units across State Street. The position will focus on various risk initiatives that create value through data driven solutions enabling timely and informed decisions. The Quantitative Risk Analyst will build and use models to understand the risk profile of State Street's assets and liabilities under a variety of financial market environments. These models will include valuation models to forecast investment portfolio credit losses, risk-weighted assets, market values for complex investment portfolios, securities finance, or other risk-related functions. Specific duties of the position include: Assist with model methodology research, prototyping and determination; Utilizing hands-on experience in building models for various structured and non-structured securities; Utilizing and enhancing quantitative and analytical approaches to achieve risk excellence and meet the standards of both internal and regulatory guidelines; Evaluating the models and approaches of third-party vendors for these risks, as necessary; Collaborating with colleagues, business partners, control functions and other relevant areas of the bank to incorporate regulatory capital constraints and potential policy impacts on investment strategy and allocation decisions; Design and implement suitable and effective model monitoring plan including performance metrics, thresholds, and implementation process; Support risk management activities and proactively resolve issues; Providing support on special projects, including review, oversight and analysis to support key strategic risk-related initiatives; Assisting in development and establishment of risk limits, guidelines and policies, as needed; and Ensuring appropriate reporting and governance exists to communicate relevant risk information to senior management. (Hybrid telecommuting permitted pursuant to Company policy).
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Minimum requirements are: Master's degree in Financial Engineering, Mathematics, Statistics, or a related quantitative field, or its equivalent; and 1 year of experience in financial modeling.
Must have: Proven knowledge of time series analysis, machine learning, and stochastic calculus; Demonstrated experience with statistical programming environment like Python or MATLAB; Demonstrated experience with SQL, Python, or R; Proven ability to build complex object-oriented programs that handle big data; Demonstrated experience with quantitative and analytical approaches to evaluate and forecast investment portfolio credit losses, risk-weighted assets and fair values under a variety of economic/financial market conditions, securities finance, asset pricing/modeling, or risk analytics; and Experience in building loan level or pool level credit models for various structured and non-structured securities.
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Salary Range:
$96,658 - $160,000 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.