Enterprise Risk Researcher

Millennium Consulting; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Millennium Consulting in Bengaluru, India seeks an Enterprise Risk Researcher (Quantitative Risk Modeler) with 1-3 years of experience to develop multi-asset analytics and support CIO-level decision-making. The role focuses on risk modeling, applied statistics, and statistical analysis within a collaborative environment.

Ideal candidates have a quantitative degree and strong Python skills (Polars/Pandas), with exposure to risk frameworks and production-ready deployments.

Qualifications

• Degree in statistics, mathematics, CS or financial engineering.
• Experience in quantitative finance, risk modeling and applied statistics.
• Proficiency in Python with Polars or Pandas.
• Willingness to work in a dynamic, collaborative environment.

Responsibilities

• Develop multi-asset class analytics across all MLP strategies and support senior management decisions.
• Own quantitative framework for measuring, managing, and reporting multi-asset analytics and risk across the platform.
• Coordinate with Technology teams to deploy models into production after development.

Skills

Python

Polars

Pandas

Quantitative modeling

Education

Bachelor's degree in a quantitative field

Tools

Polars

Pandas

C/C++

Job description

Enterprise Risk Researcher

We are looking for a motivated Quantitative Risk Modeler with 1- 3 years of experience to join our team. This role focuses on developing and maintaining multi-asset class analytics frameworks to the Firmwide portfolio of teams and senior management decision-making. If you have a passion for quantitative finance, risk modeling, and applied statistics, this is an excellent opportunity to grow your career in a dynamic and collaborative environment.

Principal Responsibilities:

• Development of multi-asset class analytics across all MLP strategies, supporting the Office of the CIO across Enterprise-wide initiatives
  • This includes working on the centralized performance evaluation framework at MLP, improvements on VaR and Stress methodologies, as well as implementing centralized back-testing and model performance frameworks
  • Contributions to the development of multi-asset class content generation, as well as centralized visualization tools for the platform used by senior management.
• Ownership in developing a quantitative framework for identifying, measuring, managing, and reporting multi-asset class analytics across the platform.
  • PM performance measurement and analytics to help inform management decisions.
  • Ownership of a multi-asset class stress-testing framework, including insights into key risk drivers to action management decisions.
  • Capital utilization and allocation models across portfolio manager teams. Cost of liquidation measurement and management, as well as associated returns relative to constrained resources.
• Post initial model development work, coordinate with relevant Technology departments to ensure changes are deployed into to production

Qualifications:

• The candidate should have a degree in a quantitative field such as statistics, mathematics, computer science or financial engineering
• Strong programming skills, prior experience with Python (Polars and/or Pandas). Proficiency in at least a compiled and statically typed language is a plus
• Knowledge of mathematical and statistical analytics tools: estimation of linear models, dimensionality reduction techniques e.g. Equity Factor Models, Principal Component Analysis, and performance analytics (e.g., Sharpe ratios, drawdowns).
• Sense of responsibility and integrity. Intellectual curiosity and entrepreneurial mindset. Willingness to work and have fun in the process.
• Good presentation and communication skills, experience in either preparing or participating presentation for senior management-style meetings