Senior Quantitative Analyst - Structured Products

Job Description

The Bloomberg Structured Products team is responsible for all data, cash flows and analytics for the two million plus bonds that comprise the structured products universe. We own some of Bloomberg's largest databases, highest hit services, most comprehensive cash flow model libraries, and most complex analytic tools and valuation screens. Our products support Bloomberg's industry leading fixed income indices, security valuation services, portfolio management and trading platforms, as well as the daily workflow of countless traders, portfolio managers and research analysts.Who we are:The Bloomberg Structured Products Quantitative Research TeamWe strive to create best-in-class predictive and economic models for the US Agency MBS/CMBS, US Residential Non-Agency, Credit Risk Transfer (CRT), Auto ABS and Japanese MBS markets in conjunction with a comprehensive suite of daily analytics reports, model surveillance reports, whitepapers, specified pool cohorts, and valuation tools. We aim to provide timely model updates that incorporate the latest prepayment and credit trends along with market developments, while allowing clients the ability to fully customize their user experience with a comprehensive and intuitive set of model overrides. We strive to continually improve our valuation and surveillance platform by maintaining an ongoing, open dialogue with the entire community of traders, portfolio managers, regulators, and mortgage agencies that incorporate our models into their daily workflow as well as internal partners such as Index/PORT, BVAL, MARS, NEWS and BI.

Responsibilities + Skills

Education

Enhance existing models to reflect evolving market dynamics, changes in mortgage underwriting, and to expand model coverageCreate analytical tools and reports that help clients track collateral performance, quantify market risk, and assess relative value

Experience

Strong experience within the Agency MBS sector and/or residential credit markets3+ years of professional experience building and maintaining predictive prepayment and/or credit modelsStrong quantitative, analytical and problem solving skills

Job Summary

  • Published on: Monday, 31st July 2023
  • Designation: Senior Quantitative Analyst -
  • industry: information technology
  • Vacancy: 1
  • Employment Status: Full-time
  • Job Location: San Antonio, TX
  • Salary: 0
  • Gender:
  • Application Deadline: Monday, 31st July 2023

About the Company

  • Company Name: Bloomberg L.P..
  • Address:
  • Website: https://www.bloomberg.com/
  • Company Profile:
  • BMQ (Bloomberg Message Queues) - a clustered queue based messaging solution for Bloomberg providing high performance and high-reliability. BMQ significantly outperforms popular open source MQ systems and is designed with high resiliency at the core.DMP (Data Mapping) - a high-performance pub/sub system for real-time data models, used by a large number of functions in the Bloomberg Terminal (instant messaging, market data, etc.).MBUS (Message Bus) - a very-high-performance, low-latency pub/sub system used by hundreds of server-side applications including many mission-critical systems. MBUS uses a combination of TCP, UDP and multicast (PGM) and scales up to millions of messages per second on a typical Linux box.Together they form a software infrastructure designed for creating large-scale, fault-tolerant applications that run on thousands of machines throughout the world. With many clients depending on our infrastructure solutions, we are looking to grow the MOM team.

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