Quantitative Risk Analyst Position Available In Suffolk, Massachusetts

Quantitative Risk Analyst (multiple positions)(State Street Bank and Trust Company; Boston, MA): 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-remote telecommuting permitted pursuant to Company policy.

Minimum Requirements:

Master’s degree in Financial Engineering, Engineering, Mathematics, Statistics, or a related quantitative field, or its equivalent; plus one year of experience in financial modeling or any occupation/title in which financial modeling experience is gained. Must possess demonstrated solid knowledge and ability with the following: 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; and proven ability to build complex object-oriented programs that handle big data. (Unless otherwise indicated, State Street is seeking the stated ability in the skills listed above with no specific number of years or amount of experience required. All experience can be gained concurrently.) To apply to this position, you must click the “Apply” button on this page and complete the online application. An EOE. #

LI-DNI Salary Range:

$90,000 – $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.

Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. Our promise to maintain an environment where every employee feels valued and able to meet their full potential infuses our company values. It’s also part of our commitment to inclusion, development and engagement, and corporate social responsibility. You’ll have tools to help balance your professional and personal life, paid volunteer days, and access to employee networks that help you stay connected to what matters to you. Join us. As an Affirmative Action/Equal Opportunity Employer, we consider applications for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. For more information, for U.S. jobs only, please read our CEO Statement.