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