Quantitative Analyst

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

Location:

Experience:

Role Overview

Python

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.