Mergers and Acquisitions - Risk Analyst

Millennium; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Millennium in Bengaluru seeks an experienced Risk Analyst to monitor event-driven conditions, build tools for arbitrage analysis, and enhance capital methodologies. You will work with PMs and management on portfolio construction and risk attribution, using Python and SQL to explore large datasets.

Ideal candidates have 3–6 years of experience, strong analytical mindset, excellent communication, and the ability to structure open-ended problems with incomplete information.

Qualifications

• 3–6 years of analytical experience with risk or quant roles.
• Ability to structure open-ended problems with incomplete information.
• Excellent written and verbal communication for Management and stakeholders.
• Proficiency in Python for data analysis, tooling and automation; strong SQL skills.
• Comfort with large, complex datasets and data exploration.

Responsibilities

• Monitor event-driven landscape, deal environment, regulation, spreads and market conditions.
• Build and maintain tools to support event arbitrage analysis and decision-making.
• Improve risk capital methodologies for allocation and monitoring across the book.
• Conduct data exploration with large datasets to generate insights for risk projects.
• Collaborate with PMs and Management to discuss portfolio construction and attribution.

Skills

Python

SQL

Data analysis

Communication skills

Problem solving

Ambiguity handling

Tools

SQL

Job description

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team

The Risk team partner directly with Portfolio Managers (PMs) on how they allocate capital, giving them insight into risk exposures, and working closely with the Office of the CIO on trends and forward-looking projects. Their toolkit is heavily quantitative — statistical factor and alpha models customized by asset class so the team can work hand-in-hand with each PM. They are also deeply involved in onboarding new PMs: determining how much capital a PM needs based on their strategy, validating allocations with CIOs, and monitoring portfolios daily and under stress scenarios to keep risk contained — guided by Millennium's philosophy of pursuing low volatility, high return, and never losing more than 10% of allocated capital on a PM.

What You'll Do

• Monitor the event-driven landscape, tracking changes in the deal environment, regulatory backdrop, spread dynamics, and market conditions.
• Build and maintain tools to support event arbitrage analysis, workflow, and decision-making.
• Enhance risk capital methodologies, improving how capital is calculated, allocated, and monitored across the book.
• Conduct research and data exploration, working with large datasets to generate insights and support ad hoc and ongoing risk projects.
• Partner with PMs and Management to analyze and discuss portfolio construction, position sizing, risk exposures, and PM skill/performance attribution.

What You Bring

• Experience between 3 - 6 years. Analytical and problem-solving mindset with intellectual curiosity.
• Ability to deal with ambiguity, structuring open-ended problems and making progress with incomplete information.
• Excellent communication skills, with the ability to distill complex analysis and clearly and concisely convey findings to Management and other stakeholders.
• Self-starter who can independently drive research projects. Proficiency in Python for data analysis, tooling, and automation.
• Strong SQL skills, with the ability to query and work with large datasets.
• Comfort handling, cleaning, and exploring large, complex data sets.