Mergers and Acquisitions - Risk Analyst

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

Job summary

Millennium Consulting in Bengaluru seeks a Risk Analyst to monitor event-driven risk dynamics, build tools for event arbitrage, and enhance capital methodologies. You will conduct data exploration on large datasets and collaborate with Portfolio Managers to discuss risk exposures and portfolio construction.

The ideal candidate has 3–6 years of experience, strong analytical skills, and the ability to communicate complex findings clearly to management.

Qualifications

• 3–6 years of experience in risk analytics or related field.
• Analytical and problem-solving mindset with intellectual curiosity.
• Ability to handle ambiguity and structure open-ended problems.
• Excellent communication skills to convey findings to management.
• Self-starter capable of leading research projects.

Responsibilities

• Monitor the event-driven landscape, tracking changes in deal environment and regulatory backdrop.
• Build and maintain tools to support event arbitrage analysis, workflow, and decision-making.
• Enhance risk capital methodologies across the book.
• Conduct research and data exploration with large datasets to generate insights.
• Partner with PMs and Management to analyze portfolio construction and risk exposures.

Skills

Python

SQL

Data analysis

Analytical thinking

Communication

Job description

Mergers and Acquisitions - Risk Analyst

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millenniums 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.