Data Analyst/Data Scientist

Job Mode: Work From Office

Job Type: Full-time

Working Days: 6

Industry: Fintech

What Youll Do:

We are a fast-growing FinTech startup looking for a Data Scientist / Data Analyst who is excited about using data to drive financial products, risk decisions, and customer insights.

Youll 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 FinTech 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 Were Looking For:

23 years of experience in Data Analysis / Data Science, preferably in FinTech or financial services

Strong proficiency in Python (Pandas, NumPy, 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 FinTech KPIs, compliance, and regulatory reporting

Experience in a startup or high-growth environment

What Were 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 FinTech startup

High-impact role with visibility across teams

Learn end-to-end product, risk, and financial analytics

Fast growth, learning, and ownership