Data Analyst
2 days ago
Job Description – Data Analyst (Finance / Private Credit)
Experience:
2–4 Years
Location:
[Mumbai
About the Role
We are looking for a highly analytical
Data Analyst
with strong experience in financial data, private credit, and structured finance. The ideal candidate should have hands-on technical expertise in
Python, SQL, and large data handling
, along with strong understanding of
company evaluation, debt financing, and credit analysis
.
Key Responsibilities
- Work on
data science and analytics projects
, including data cleaning, modelling, and visualization. - Manage, organize, and analyze
large financial datasets
from internal and external sources. - Build and maintain
Python-based tools, scripts, and automation workflows
for data processing. - Write optimized
SQL queries
to extract, process, and analyze data from databases. - Support
company evaluation
, including financial analysis, metric benchmarking, and sector research. - Assist in evaluating
debt financing proposals
, borrower profiling, and repayment capacity assessments. - Work on
structured finance
, asset-backed securities (ABS), or credit analysis of corporate borrowers. - Prepare dashboards, MIS reports, and insights to support investment and credit decisions.
- Collaborate with investment, credit, and operations teams to improve data frameworks and decision-making tools.
Required Skills & Qualifications
- 2–4 years
of experience in a finance, fintech, investment, or private credit environment. - Strong proficiency in
Python
(Pandas, NumPy, visualization libraries preferred). - Strong command over
SQL
and relational databases. - Experience working with
large datasets
and data science workflows. - Exposure to
company evaluation, ratio analysis, financial modelling
, or credit assessment. - Understanding of
debt financing
, loan structuring, credit appraisal, or underwriting. - Familiarity with
structured finance, asset-backed securities
, or corporate credit analysis is a strong plus. - Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
- Bachelor's/Master's in Finance, Engineering, Data Science, Economics, or related field.
- Experience in
AIF, Private Credit, NBFC, Fintech Lending
, or Investment Research firms.
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