Credit Analyst - Arbitrage Desk

Credit Analyst Investment Research & Analytics

Client: A Quant-Forward Discretionary Investment Management Firm

Location - Bengaluru

Desired Years of Experience - 2- 5 Years

Education - MBA /CA/CPA/CFA

About the Firm

quant-forward discretionary investment management firm

The Role

Credit Analyst

Key Responsibilities

• Conduct deep

  fundamental credit analysis

  of issuers across industries, including capital structure, covenant, and cash flow assessments.
• Build and maintain

  dynamic financial models

  covering three-statement forecasting, scenario analysis, and recovery modeling.
• Prepare clear and concise

  investment memos, relative value assessments, and recommendations

  to support portfolio decisions.
• Monitor existing portfolio positions and update models based on earnings, event-driven developments, and market shifts.
• Identify early warning signals and risk factors at the company, sector, and macro levels.
• Contribute to

  thematic and sectoral research reports

  on emerging trends, market dislocations, and special situations.
• Collaborate with investment teams to integrate

  advanced analytics, automation, and AI-enabled insights

  into research workflows.

Candidate Profile

• 25 years

  of experience in credit research, investment banking, or asset management.
• Strong academic background;

  CFA, CPA, or MBA in Finance

  preferred.
• Proficiency in financial modeling, valuation, and covenant analysis.
• Familiarity with

  high yield, distressed, and investment grade markets

  .
• Excellent written and verbal communication skills; ability to synthesize complex analysis into actionable insights.
• Self-driven, intellectually curious, and comfortable operating in a

  fast-paced, collaborative, and technology-driven

  environment.

What the Firm Offers

• Exposure to a

  diverse set of credit strategies

  across both private and public markets.
• Opportunity to influence

  investment decisions at scale

  , working directly with senior professionals.
• A

  quant-forward culture

  that combines rigorous fundamental research with systematic tools, automation, and data science.
• Professional growth through mentorship and access to senior leadership in the investment function.