Data Analyst
Skeps is seeking a Data Analyst to join their team in Gurugram, focused on the US unsecured lending industry. The role involves managing the end-to-end data lifecycle, from building reporting infrastructure and dashboards to developing advanced regression and forecasting models. Candidates are expected to have a strong technical foundation in Python, SQL, and statistical libraries to derive actionable business insights. This position offers exposure to both supervised and unsupervised modeling in a fast-paced fintech environment.
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Experience
2+ years
Function
Research
Work mode
Onsite, India
Company
Tier 2
What you will work on
Skeps is seeking a Data Analyst to join their team in Gurugram, focused on the US unsecured lending industry. The role involves managing the end-to-end data lifecycle, from building reporting infrastructure and dashboards to developing advanced regression and forecasting models. Candidates are expected to have a strong technical foundation in Python, SQL, and statistical libraries to derive actionable business insights. This position offers exposure to both supervised and unsupervised modeling in a fast-paced fintech environment.
TAL's take
Solid role at a specialized fintech startup with clearly defined analytical requirements and statistical modeling expectations.
The JD provides a precise list of responsibilities and required technical stack tailored to the US unsecured lending domain.
Must haves
- Bachelor's or Master's in statistics/mathematics/engineering
- 2+ years of experience as a Data Analyst
- Experience in data models and database design
- Proficiency in Excel, SQL, and Python
- Knowledge of statistical packages like Pandas, NumPy, and scikit-learn
- Experience in supervised and unsupervised model development
Tools and skills
About the company
Skeps is a mid-stage fintech startup, falling into the established product company tier.
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