MSET QR Counterparty Risk Strats, Manager

Morgan Stanley; Mumbai; On-site; INR 2,400,000 - 4,000,000; Full time

Job summary

Morgan Stanley in Mumbai is seeking a disciplined quantitative researcher to join the Counterparty Risk team. The role focuses on regular calibration and performance monitoring of models, delivering timely, high-quality analysis across global time zones during London hours.

The successful candidate will have 3–5 years in finance, a quantitative degree, strong Python/SQL skills, and the ability to automate processes, analyze data, and communicate complex results clearly to senior stakeholders.

Qualifications

• 3–5 years of experience in the financial sector, with direct practical experience in financial markets.
• Bachelor's or higher degree in a quantitative discipline; professional qualifications such as CA, CFA, FRM, MMS, or MBA will also be considered.
• Strong practical experience in data analysis, data handling, and mathematical modeling.
• Proficiency in Python and SQL, with experience in automation and streamlining processes.
• Strong analytical and reasoning skills, with the ability to break down complex problems and projects into manageable components.
• Strong written and verbal communication skills, with the ability to present concepts and solutions clearly to diverse audiences.

Responsibilities

• Perform regular calibration and performance monitoring tasks on models and ensure timely delivery of high-quality analysis.
• Help to automate regular calibration and performance monitoring tasks
• Analyze back testing data to attribute P/L to risk factors and identify data quality or modelling issues.
• Support the development and prototyping of risk models and risk management techniques under the guidance of senior team members.
• Contribute to developing the team's suite of quantitative tools.
• Analyze historical data to identify trends within the hedge fund industry and produce reports for clients and senior management.
• Support the development of stress tests for regular reporting and in response to specific market events, such as upcoming elections.

Skills

Data analysis

Data handling

Mathematical modeling

Analytical thinking

Communication skills

Education

Bachelor's or higher degree in a quantitative discipline

CA, CFA, FRM, MMS, or MBA

Tools

Python

SQL

Automation

Job description

Job Summary

This role, based in Mumbai, requires the individual to work with global Morgan Stanley Quantitative Research Counterparty Risk team.

The expected working hours will be London hours.

Responsibilities

• Perform regular calibration and performance monitoring tasks on models and ensure timely delivery of high-quality analysis.
• Help to automate regular calibration and performance monitoring tasks
• Analyze back testing data to attribute P/L to risk factors and identify data quality or modelling issues.
• Support the development and prototyping of risk models and risk management techniques under the guidance of senior team members.
• Contribute to developing the team's suite of quantitative tools.
• Analyze historical data to identify trends within the hedge fund industry and produce reports for clients and senior management.
• Support the development of stress tests for regular reporting and in response to specific market events, such as upcoming elections.

Core Requirements

We are looking for a confident and outgoing person, who has exceptional attention to detail and takes initiative.

• 3-5 years of experience in the financial sector, with direct practical experience in financial markets
• Bachelor s or higher degree in a quantitative discipline; professional qualifications such as CA, CFA, FRM, MMS, or MBA will also be considered
• Strong practical experience in data analysis, data handling, and mathematical modeling
• Proficiency in Python and SQL, with experience in automation and streamlining processes
• Strong analytical and reasoning skills, with the ability to break down complex problems and projects into manageable components
• Strong written and verbal communication skills, with the ability to present concepts and solutions clearly to diverse audiences

Complementary Skills

• Understanding of market and counterparty risk methodologies, including stress testing, VaR, and related risk measures.
• Familiarity with risk management concepts such as initial margin, variation margin, model risk management, and regulatory requirements.