Quantitative Analyst Quantitative Analyst …

State Street Bank
in Boston, MA, United States
Permanent, Full time
Last application, 16 Feb 20
Competitive
State Street Bank
in Boston, MA, United States
Permanent, Full time
Last application, 16 Feb 20
Competitive
Quantitative Analyst
Quantitative Analyst, AVP Boston, Massachusetts/en-US/Global/job/Boston-Massachusetts/Quantitative-Analyst--AVP_R-636394-1/apply

Quantitative Analyst, AVP

The incumbent will be a member of the Integrated Analytics Team (IAT) within Enterprise Risk Management. The IAT provides support in the development, deployment, and documentation of tools and methods for assessing various aspects of credit, market, operational, liquidity and compliance risk to State Street. Specifically, this Quantitative Analyst will be part of a team that is responsible for both financial and non-financial risk projection via shared services within integrated analytics team.

Key Responsibilities:

  • Creatively build analytical tool /models to assist non-financial risk analytics (e.g., operational risk, marketing analytics, AML and compliance analytics, etc.) using conventional and non-conventional techniques (e.g., AI, machine learning, Natural Language Processing)
  • Build and enhance a variety of models or advanced analytical tools (e.g., liquidity, deposit, credit risk, interest rate risk) around different BAU purposes and regulations such as Basel III, CCAR and ICAAP
  • Create actionable, automated reporting tools/packages to assist visualization of results, model implementation and quantitative analytics
  • Perform sensitivity analyses to respond to ad hoc inquiries
  • Perform any other tasks as assigned to support the IAT

Education/Qualifications:

  • Masters or PhD Degree in Economics, Statistics, Mathematics, Risk Management or related field
  • Ability to understand, visualize and communicate quantitative results to expert and non-expert audiences
  • Sufficient experience with any of programming language using one or two of following: Python, R, Tableau, Excel and SQL with structured and non-structured data mart
  • Experience with Natural Language Processing and Machine Learning techniques
  • Working understanding of various regulations such as Basel III (Credit/Market/Operational Risk), CCAR, Stress Testing and ICAAP
  • Working knowledge of fixed income market or wholesale credit market, from both quantitative credit or market risk experience
  • Professional designations (CFA, FRM) preferred but not required
Posted 4 Days AgoFull timeR-636394

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