We're looking for a Data Analyst to turn financial data into actionable insights that drive our lending decisions and product development. You'll work across the business — from credit risk reporting and portfolio analytics to product usage metrics and forecasting validation. This role is ideal for someone who combines sharp analytical thinking with a genuine interest in financial services and wants to see their analysis directly shape how capital is deployed.

Key Responsibilities

• Build and maintain dashboards and reports for credit portfolio performance, loan book analytics, and risk metrics
• Analyse borrower data, repayment patterns, and default indicators to support underwriting decisions
• Develop and automate recurring financial and operational reports for the leadership team
• Validate and monitor the performance of ML models (credit scoring, cash-flow forecasting) alongside the AI/ML team
• Conduct ad-hoc analysis to support product development, pricing strategy, and market research
• Define and track key business KPIs across lending operations and platform adoption
• Work with engineering to ensure data quality, consistency, and governance across Clickhouse and MongoDB
• Prepare data for regulatory reporting and compliance requirements
• Translate complex analytical findings into clear recommendations for non-technical stakeholders

Required Qualifications

• 5+ years of experience in a data analyst or business intelligence role
• Strong proficiency in SQL (Clickhouse, PostgreSQL, or similar)
• Experience with data visualization tools (Looker, Tableau, Power BI, or Metabase)
• Solid understanding of statistics — hypothesis testing, regression, cohort analysis
• Proficiency in Python or R for data analysis and automation
• Experience building dashboards and automated reporting pipelines
• Strong business acumen — ability to connect data insights to business decisions
• Excellent communication and data storytelling skills

Nice to Have

• Experience in FinTech, lending, banking, or financial services analytics
• Familiarity with credit risk metrics (PD, LGD, EAD, vintage analysis)
• Knowledge of financial compliance and regulatory reporting requirements
• Experience with dbt, Airflow, or similar data transformation tools
• Background in A/B testing and experimentation frameworks
• Understanding of ML model evaluation and performance monitoring
• Experience with MongoDB or other NoSQL databases
• Familiarity with product analytics tools (Mixpanel, Amplitude)

Tech Stack Highlights

• Analytics: Python, Looker/Tableau
• Databases: Clickhouse, postgres, MongoDB, Redis
• AI/ML (collaboration): Prophet, scikit-learn, OpenAI, Claude
• Backend (context): TypeScript, NestJS, Node.js
• Monitoring: New Relic, Sentry

What We Offer

• A competitive and motivating income that recognizes and values your contributions.
• Opportunity to work on cutting-edge AI and FinTech challenges
• Flexible work schedule to promote work-life balance and accommodate your personal needs.
• Embrace a non-corporate and cozy work environment, where collaboration and creativity flourish.
• Modern tech stack with freedom to explore new technologies
• Direct impact on product direction and technical architecture
• Collaborative environment
• Regular team events and offsites
• Ample opportunities for professional growth and development, empowering you to reach new heights in your career.

Interview Process

1. Initial screening (20 minutes)
2. Technical test (90 minutes)
3. Cultural fit interview with leadership (45 minutes)
4. Reference checks and offer

How to Apply

Send your CV and a brief note about why you're excited to work in FinTech to [email protected]

Please include:

• Examples of dashboards, reports, or analyses you've built
• Your experience with SQL, Python, and visualization tools
• A brief description of a data insight that drove a business decision
• What interests you most about FinTech and data-driven lending

About Capital 33

Capital 33 is a next-generation merchant bank focused on two core services: capital raising and direct lending for mid-market and large enterprises. We support every stage of corporate growth—from day-to-day working-capital needs to multi-year investment programs—leveraging deep expertise in structured finance, syndicated loans, private debt, and project finance. We're building the future of FinTech by combining cutting-edge artificial intelligence with deep financial expertise to provide startups with the capital they need to grow.

Capital 33 is an equal opportunity employer committed to building a diverse and inclusive team. We welcome applications from all qualified candidates regardless of race, gender, age, religion, identity, or experience.

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