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Quantitative Analyst, AVP at State Street

Posted in General Business 30+ days ago.

Type: Full-Time
Location: Boston, Massachusetts





Job Description:

BACKGROUND

The Centralized Modeling & Analytics (CMA) team within State Street’s Enterprise Risk Management (ERM) organization is looking for an experienced quantitative analyst to join our team in Boston, MA.

The CMA ​​organization provides analytics based services and solutions to business units across State Street. Our mission is to create value through data driven solutions enabling ​State Street and our business partners to make timely and informed decisions.

POSITION PRIMARY DUTIES AND RESPONSIBILITIES

This role will be part of the CMA team focused on delivering modeling and analytics solutions to State Street Global Markets (“SSGM”) business units, including Securities Finance, FX Sales & Trading, Funding and Collateral Transformation ("FaCT"), and banking book. The AVP will focus on developing and advancing models in realm of risk management supporting SSGM Securities Finance. The role has significant impact on the BAU risk management as well as the regulatory CCAR requirement through complex deliverables.

This role will:


  • Assume a key role in model methodology research, prototyping and determination

  • Develop and build out financial models and analytics for the trading business leveraging a wide variety of mathematical and computer science methods and tools

  • Advance existing codebase and propose new solutions and improvements

  • Document development methodology, quantitative analysis, and implementation process

  • Design and implement suitable and effective model ongoing monitoring plan including performance metrics, thresholds, and escalation plan

  • Work in close partnership with control functions such as Model Governance, Audit, and Financial Regulatory Assurance to ensure appropriate governance and control infrastructure

  • Collaborate with business users and IT partners to establish appropriate production processes within the IT infrastructure

  • Timely execute CCAR deliverables

  • Support regular BAU risk management activities and proactively resolve issues

  • Coach and guide junior staff

REQUIREMENTS


  • Masters’ or PhD in a quantitative discipline (Financial Mathematics, Financial Engineering, Mathematics, Statistics, or a related field). Experience in machine learning is a plus

  • 3-5 years of working experience in financial modeling field as a key contributor

  • Demonstrated knowledge of securities finance, asset pricing/modeling, and risk analytics

  • Advanced programming skills in statistical programming environment Python and MATLAB. SQL experience is a plus

  • Familiarity with CCAR regulatory frameworks and the corresponding requirements

  • Self-motivated and attention to detail

  • A demonstrated ability to work independently on complex projects as well as the ability to be a team player in a fast-paced, high-energy level environment

  • Strong verbal and written communication skills, with ability to articulate ideas, analysis and complex concepts effectively to broad audiences

  • Competence and confidence to gain credibility and collaborate for success across the organization





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