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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Risk - Analytics & Reporting - Associate - Birmingham

AI Summary ✨

Requirements

  • Masters or Bachelors degree in a quantitative discipline such as financial engineering, economics, mathematics, physics, econometrics or engineering
  • Experience of risk measurement, operational risk management and/or the delivery of regulatory projects involving multiple stakeholders
  • Excellent written and verbal communication skills
  • Entrepreneurial, creative, self-motivated and team-orientated
  • Practical knowledge of mathematics and numerical algorithms, including statistics and time series analysis
  • Experience with, or keen interest to develop expertise in, development of risk analytics, interpretation and productivity tools for cultivating insights into risk & capital metric data
  • Experience with, or keen interest to develop expertise in, pricing, risk and capital models
  • Experience with, or keen interest to develop expertise in, financial markets & economics

What You'll Be Doing

  • Supporting the end-to-end CCAR operational risk loss projection process, including communicating timelines and facilitating review and challenge to achieve timely completion of a key regulatory deliverable
  • Calculating analysing and reporting on Operational RWA results
  • Liaising with groups such as Modelers/Strats, Controllers, Enterprise Risk, trading and investing businesses, Legal, Compliance, Model Risk Management and the firm’s Insurance group to gather inputs and communicate insights
  • Interacting with Operational Risk specialists in domains such as cyber risk and algorithmic trading risk
  • Identifying areas of potential improvement and interpreting the results of sensitivity analysis
  • Working with Engineers to develop, test and integrate enhanced workflows to deliver automation, maximize efficiency, improve control and enhance the results’ timeliness and accuracy
  • Preparing materials for the firm’s internal governing bodies such as Risk Committees and executive members of the firm

Skills and Relevant Experience

  • Masters or Bachelors degree in a quantitative discipline such as financial engineering, economics, mathematics, physics, econometrics or engineering
  • Experience of risk measurement, operational risk management and/or the delivery of regulatory projects involving multiple stakeholders
  • Excellent written and verbal communication skills
  • Entrepreneurial, creative, self-motivated and team-orientated
  • Practical knowledge of mathematics and numerical algorithms, including statistics and time series analysis
  • Experience with, or keen interest to develop expertise in, development of risk analytics, interpretation and productivity tools for cultivating insights into risk & capital metric data
  • Experience with, or keen interest to develop expertise in, pricing, risk and capital models
  • Experience with, or keen interest to develop expertise in, financial markets & economics

Perks and Benefits

  • Work in a dynamic & highly creative teamwork and consensus-orientated environment
  • Exposure to industry leading market data, pricing and risk and capital models for all activities the Firm engages in
  • Exposure to challenging quantitative problems and large volumes of data (a.k.a ‘Big Data’) and the tools and techniques to interact with, and determine meaningful interpretations of, such data
  • Development of economic, financial product and market knowledge
Apply here
Goldman Sachs logo

Goldman Sachs

Birmingham, UK

Experience: Staff
Posted: August 20, 2025
backend

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