Blenheim Chalcot is hiring for an fresher entry level Data Analyst role in India

Position:

• Data Analyst – Investment Team

Company:

• Blenheim Chalcot India (for its FinTech venture BCI Finance)

Location:

• Mumbai, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• Not specified

Years of experience:

• 0 to 3 years

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Company description

• Blenheim Chalcot is widely recognized as a global leader in building and scaling innovative ventures.

• With over 26 years of entrepreneurial success, they’ve developed a diverse portfolio of companies spanning FinTech, EdTech, GovTech, Media, Sports, and more.

• Their ventures are strongly powered by GenAI, reflecting their commitment to staying at the forefront of digital innovation.

• Blenheim Chalcot India, launched in 2014, plays a key role in the global operations, supporting ventures with critical services like tech, HR, legal, marketing, finance, talent, and tax.

• The company aims to empower ambitious professionals to lead and deliver market-disrupting products and services.

• BCI Finance, one of Blenheim Chalcot’s FinTech entities, specializes in private credit solutions for high-growth fintech businesses.

• They operate a Credit Opportunities Fund and focus on providing strategic, growth-oriented funding with a long-term borrower relationship approach.

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Profile overview:

• The Data Analyst – Investment Team role supports Blenheim Chalcot’s FinTech investment operations by enabling data-driven decisions through detailed financial and risk analysis.

• This position involves hands-on modeling and data interpretation to aid the investment lifecycle, especially credit and loan analytics.

• The analyst will develop run-off models, perform scenario testing, and build dashboards for ongoing monitoring of borrower performance.

• They will contribute to internal financial processes such as IFRS9 provisioning and provide insights that directly influence investment strategy.

• A core part of the job includes maintaining a PostgreSQL database, uploading borrower data, and ensuring accuracy across analytics workflows.

• The analyst also helps automate reports and visualizations with Python and PowerBI, simplifying access to data insights for internal stakeholders.

• Support will be provided by the India team for complex SQL, Python, and dashboarding tasks, making the position accessible to those with strong Excel and some coding familiarity.

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Qualifications:

• Candidates should come from a strong academic background in finance, mathematics, statistics, or engineering.

• Proficiency in Microsoft Excel is essential, particularly in modeling and complex formula use.

• A working knowledge of Python is expected; familiarity with SQL and PowerBI will be an added advantage.

• The role suits candidates who understand credit risk fundamentals and investment analysis.

• The ideal applicant will have experience working with large, structured or semi-structured datasets.

• Prior exposure to financial modeling, trend identification, and automated reporting tools is helpful.

• Communication and stakeholder collaboration skills are important, as the role involves close coordination with investment professionals.

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Additional info:

• This role sits within a high-paced and ambitious environment with constant exposure to business leadership and investment strategy.

• Analysts will learn directly from senior finance and investment professionals, contributing meaningfully to deal evaluation and portfolio oversight.

• The culture is dynamic and collaborative, with access to cutting-edge GenAI tools for boosting productivity and insight generation.

• Blenheim Chalcot offers 24 days of annual leave along with 10 public holidays, plus private health insurance for employees and their immediate families.

• Employees also benefit from life insurance, a fun work culture, and unique experiences such as being part of the Rajasthan Royals IPL franchise ecosystem.

• The organization actively promotes diversity, equity, and inclusion, and values people for their potential, ideas, and skills over background or demographics.

• Internal mobility, continuous upskilling, and leadership grooming are strongly encouraged as part of the learning culture.

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Run-Off Modelling Responsibilities:

• Construct and update run-off models to measure credit coverage against loan portfolios.

• Participate in quarterly IFRS9-related activities by feeding updated data into forecasting models.

• Run sensitivity analysis and evaluate what-if scenarios for upcoming investment structures or modified deal terms.

Borrower Data Analysis Duties:

• Analyze granular loan data to discover patterns in borrower performance, detect early warning signals, and highlight risk concentrations.

• Contribute to credit risk sections of investment memos prepared for the senior decision-makers.

• Maintain PowerBI dashboards with current borrower insights, allowing the team to monitor investments more effectively.

• Provide periodic updates and feedback based on borrower trends in monthly meetings.

Data Platform and System Management:

• Regularly upload financial datasets received from borrowers (mostly Excel) into a central PostgreSQL system.

• Verify and maintain data integrity during each update cycle, ensuring historical consistency and avoiding duplication.

• Support efforts to map new borrower data into the existing platform with attention to schema and business rules.

• Contribute to Python-based tool development for internal use by investment professionals with limited technical expertise.

Tools and Tech Stack:

• Essential Tools:

  • Excel: Used for advanced data modeling, forecasting, and analytical tasks.

  • Python: Applied in developing analytical tools and executing financial simulations.

  • GenAI tools: Including ChatGPT, Cursor, and others to speed up analysis and automate scripting.

• Nice to Have Skills:

  • SQL (especially PostgreSQL): To query data, prepare tables, and manage data structures.

  • PowerBI: For creating insightful dashboards and visualizing key trends.

• Team Support:

  • Dedicated team members in India are available to assist with technical tasks involving SQL, Python, and PowerBI.

  • While full technical mastery is not required, familiarity with data workflows and automation tools will help you succeed.

Ideal Candidate Attributes:

• Capable of adjusting quickly to changing tasks and emerging challenges in an agile work setting.

• Brings a problem-solving mindset and takes initiative to explore better solutions or methods.

• Communicates clearly with both technical and non-technical teams, translating insights into business recommendations.

• Comfortable navigating complex datasets and extracting meaningful conclusions that support investment activities.

• Eager to learn and adapt, especially in using AI-driven tools and automating workflows.

Please click here to apply.