Risk - Operational Risk Analytics & Reporting -Analyst-Software Engineering

17 hours ago

Bengaluru, India Goldman Sachs Full time

Job Description
A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. A&R has a unique vantage point in the firm's risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights. The following are core responsibilities for A&R:

  • Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm's businesses and its client activities.
  • Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting.
  • Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics. Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following:
  • Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering.
  • Entrepreneurial, analytically creative, self-motivated and team-oriented.
  • Excellent written, verbal and team-oriented communication skills.
  • Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R.
  • Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages.
  • Working knowledge of the financial industry, markets and products and associated non-financial risk.
  • Working knowledge of mathematics including statistics, time series analysis and numerical algorithms.
  • 3+ years of financial or non-financial risk industry experience.

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