Job Description & How to Apply Below
Work From Office
Job Type :
Full-time
Working Days: 6
Industry: Fintech
What You’ll Do:
We are a fast-growing Fin Tech startup looking for a Data Scientist / Data Analyst who is excited about using data to drive financial products, risk decisions, and customer insights.
You’ll work closely with product, engineering, risk, and business teams to turn complex financial data into clear, actionable insights.
Key Responsibilities
● Analyze large-scale financial and transactional data to identify trends, risks, and opportunities
● Build and maintain interactive dashboards and reports for business, product, and leadership teams
● Perform exploratory data analysis (EDA) to understand customer behavior, fraud patterns, and product performance
● Develop statistical models or basic machine learning models for risk scoring, segmentation, or forecasting
● Collaborate with stakeholders to translate business and regulatory requirements into data solutions
● Track key Fin Tech metrics such as conversion, churn, default rates, fraud indicators, and revenue metrics
● Ensure data accuracy, consistency, and governance across reporting systems
● Support A/B testing and experiment analysis for product and pricing decisions
What We’re Looking For:
● 2–3 years of experience in Data Analysis / Data Science, preferably in Fin Tech or financial services
● Strong proficiency in Python (Pandas, Num Py, Matplotlib, Seaborn)
● Solid experience with SQL and relational databases
● Strong understanding of statistics, hypothesis testing, and data modeling
● Hands-on experience with data visualization tools such as:
○ Tableau
○ Power BI
○ Looker / Looker Studio
○ Metabase / Superset (or similar BI tools)
● Ability to present insights through clear visual storytelling for non-technical stakeholders
Good to Have (Nice to Have)
● Experience working with financial, lending, payments, or transaction data
● Exposure to credit risk, fraud detection, AML, or underwriting models
● Familiarity with cloud platforms (AWS, GCP, Azure)
● Experience with machine learning libraries (Scikit-learn, XGBoost)
● Knowledge of Fin Tech KPIs, compliance, and regulatory reporting
● Experience in a startup or high-growth environment
What We’re Looking For
● Strong analytical and problem-solving mindset
● High ownership and ability to work in ambiguous, fast-moving environments
● Good communication skills with business and tech teams
● Curiosity to understand financial products and customer behavior
Why Join Us?
● Opportunity to build data foundations in a growing Fin Tech startup
● High-impact role with visibility across teams
● Learn end-to-end product, risk, and financial analytics
● Fast growth, learning, and ownership
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