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Software Engineering - Associate - Risk Division Job in Bangalore at Goldman Sachs

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Software Engineering - Associate - Risk Division

Goldman Sachs

  Full Time Job

  Not Disclosed

  0-1 years

  Posted  30+ days ago

Location
  • Bangalore
Skills Required
  • Python
  • R
  • Matlab
  • Machine Learning
About this Job

Goldman Sachs is hiring for the role of Software Engineering - Associate - Risk Division!

Responsibilities of the Candidates:

  • Understand financial risk by analyzing pricing, risk, and capital model outputs to evaluate, explain and justify features observed in the firm’s market risk data
  • Enhance and manage processes that quantify, review, explain, and convey insight for risk and capital measures for a large, diverse set of financial products or activities across the firm. This involves developing and maintaining tools to understand risk & capital metrics at varying levels of aggregation across the firm
  • Provide quantitative and qualitative risk analysis, to estimate the financial risk of the firm’s transactions
  • Streamline and automate risk analysis and reporting to enhance the firm’s metric accuracy, timeliness, and availability for stakeholders within and outside of the Risk Division
  • Develop, test, and integrate new/enhanced workflows and write/maintain corresponding documentation
  • Perform anomaly detection on large data sets, investigate the root cause, and recommend corrective actions
  • Liaise with groups such as Modelers/Strats, Engineers, Controllers, and Business to understand and explain observations in risk data
  • Build and maintain a comprehensive set of reports and presentations for market risk capital for reporting to regulators, internal risk committees and senior leadership across Risk, Controllers, and the Business
  • Communicate complex ideas with internal/external stakeholders such as risk managers, market making businesses, technology, and senior management.

Requirements:

  • Preferred Master’s Degree in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering
  • Deep knowledge in statistical modeling, such as regression, time series analysis, machine learning etc. 
  • Strong programming skills and experience with languages, such as C++, Python, R, Matlab
  • Familiar with options and derivatives pricing theories
  • Experience with, or a keen interest in developing expertise in risk, and capital models
  • Experience with, or a keen interest in developing expertise in financial markets & economics
  • Excellent written and verbal communication skills
  • Entrepreneurial, creative, self-motivated, and team-orientated
Eligible Degrees
MBA / All Courses
Bachelor of Technology/Engineering / All Courses
Master of Technology / All Courses
Bachelor of Arts / All Courses
Bachelor of Science / All Courses

+94 More

Who can apply
Work Experience: 0-1 years
Eligible Graduation Years: 2024, 2023, 2022
Documents Required

1. Resume

2. ID Proof (e.g. Aadhar Card, PAN Card, etc.)

About Goldman Sachs
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