Analyst - Business & Risk Analytics - Python/SQL - Global Investment Bank

Analyst - Business & Risk Analytics(Python/SQL) - Global Investment bank

Location: Mumbai, India

Experience: 0-1 year

Role Overview:

We are seeking a highly motivated early-career professional with strong technical skills in Python and SQL and a keen interest in financial markets. The role offers the opportunity to work at the intersection of pricing, risk management, and financial product analysis, collaborating closely with global teams. The ideal candidate will have an engineering background (with or without MBA) and a strong analytical mindset, with exposure to or interest in asset-backed securities, derivatives, or risk analytics.

Key Responsibilities:

- Analyze large datasets to assess market trends, risk exposures, and pricing scenarios.

- Build, enhance, and maintain risk dashboards and analytical tools using Python, SQL, and visualization platforms (e.g., Power BI/Tableau).

- Support pricing and risk methodology development for various financial instruments, including securitized products, mortgage-backed securities (MBS), collateralized loan obligations (CLOs), and derivatives.

- Conduct quantitative portfolio risk analysis to identify potential risk issues and provide actionable insights.

- Monitor and interpret market, policy, and regulatory developments relevant to the product set.

- Collaborate with sales, trading, and control functions to address client queries on risk, margin, and pricing.

- Assist in trade-level margin setting and support decision-making on contractual terms.

- Contribute to ad-hoc analysis and special projects across global markets teams.

Required Skills & Qualifications:

- Bachelor's degree in Engineering (Computer Science, Information Technology, Electronics, or related). MBA preferred but not mandatory.

- 0-1 year of experience or relevant internships in analytics, risk, or financial markets.

- Strong programming skills in Python and SQL; ability to work with large datasets (data ingestion, cleansing, validation, normalization).

- Solid understanding of financial markets and investment concepts; knowledge of risk management principles is a plus.

- Strong problem-solving and analytical thinking skills.

- Excellent communication and collaboration abilities.

- Proactive, self-motivated, and eager to learn.

Preferred / Good to Have:

- Exposure to pricing models, risk metrics, or market data analysis.

- Familiarity with securitized products, ABS/MBS/CLOs, or derivatives.

- Experience with data visualization tools (Power BI, Tableau, etc.).

- FRM or CFA (Level I) qualification or ongoing pursuit will be an advantage.