Private Credit Due Diligence and Analytics Analyst

JPMorgan Chase & Co.; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Private Credit Due Diligence and Analytics professional to drive due diligence across private credit opportunities, develop quantitative tools, and provide insights for investment decisions. The role emphasizes cross-regional collaboration and strong data skills.

The candidate should have 2+ years in credit analysis or related fields, with Python and SQL proficiency, and be able to translate complex data into actionable insights for senior management.

Qualifications

• Bachelor's degree in Finance, Engineering, Economics, Business, or a related field.
• Minimum 2 years of experience in credit analysis, investment banking, or asset management within private credit or fund of funds.
• Ability to interpret complex financial data and market information.
• Strong communication and interpersonal skills to build relationships with stakeholders across regions.
• Proficiency in Python and data engineering/analytics libraries; strong SQL skills.

Responsibilities

• Support senior research analysts by conducting due diligence on private credit investment opportunities across primaries, co-investments, and secondaries.
• Evaluate creditworthiness, risk factors, and return potential to support investment decisions.
• Develop and maintain quantitative tools to monitor and manage existing fund investments, track performance, and identify risks.
• Prepare regular reports and updates for senior management and stakeholders.
• Develop and maintain analytical and visualization tools for performance review and tracking.
• Prepare and respond to RFPs to raise capital from institutional clients and collaborate with internal teams to align proposals with client needs.

Skills

Python

SQL

Data analysis

Communication

Education

Bachelor's degree in Finance/Engineering/Economics/Business

Tools

Streamlit

Tableau

Qlik

Job description

You are a strategic thinker passionate about driving solutions in Private Credit . You have found the right team.

As Private Credit Due Diligence and analytics professional within our dynamic team, you will be responsible for setting and improving our organizational objectives, and ensuring their consistent accomplishment.

Job Responsibilities

• Support senior research analysts by conducting due diligence on private credit investment opportunities across primaries, co-investments, and secondaries.
• Evaluate creditworthiness, risk factors, and return potential to support investment decisions.
• Develop and maintain quantitative tools to monitor and manage existing fund investments, track performance, and identify potential risks.
• Prepare regular reports and updates for senior management and stakeholders.
• Develop and maintain analytical and visualization tools for performance review and tracking.
• Prepare and respond to RFPs to raise capital from institutional clients and partner with internal teams to develop proposals aligned to client needs and investment strategies.
• Monitor global market trends, economic conditions, and industry developments and provide insights and recommendations across private credit strategies.
• Collaborate with global colleagues to share insights, partner on projects, and contribute to overall success.

Required qualifications, capabilities and skills

• Bachelor’s degree in Finance, Engineering, Economics, Business, or a related field.
• Minimum 2 years of experience in credit analysis, investment banking, or asset management within private credit or fund of funds.
• Demonstrated ability to interpret complex financial data and market information.
• Strong communication and interpersonal skills to build and maintain relationships with diverse stakeholders across regions.
• Proficiency in Python and experience with data engineering and analytics libraries.
• Strong SQL skills and database operations.

Preferred qualifications, capabilities and skills

• Master’s degree or relevant coursework in Financial Engineering or Quantitative Risk.
• Professional certification (e.g., CFA) or progress towards CFA.
• Familiarity with visualization and dashboarding tools such as Streamlit, Tableau, or Qlik.
• Developing experience using AI-powered analytics, workflow automation, or intelligent process tools to drive efficiency gains, reduce manual effort, or improve accuracy in operational processes