ABOUT APOLLO FINVEST

Apollo Finvest is a publicly listed, tech-first NBFC, and we are building Apollo Cash, a digital personal loan app designed for speed, trust and scale. As the product grows, our technology, underwriting systems and teams must grow faster. Innovation meets compliance. Speed meets scale. That is the Apollo way.

ROLE OVERVIEW

Every lending decision we make starts with a model. As our Data Scientist, you will own the intelligence behind Apollo Cash: who we lend to, how we price risk, how we spot fraud before it happens, and how we collect responsibly. You will work side by side with the Credit and Business teams, and your models will go live in front of real customers, at scale.

WHAT YOU WILL DO

- Protect the book: Partner with the Credit and Business teams to monitor and mitigate risk exposure across lending products.
- Build the brains of underwriting: Develop AI-powered underwriting models, risk assessment frameworks and fraud detection algorithms.
- See risk before it arrives: Design early warning systems and predictive risk models from operational and financial data.
- Unlock alternative data: Apply alternative data strategies to sharpen our business rule engines and credit underwriting.
- Raise the bar on credit decisions: Build and optimise AI-driven credit algorithms for faster, more accurate risk assessment.
- Ship GenAI to production: Work with LLMs, RAG and other AI tools to develop, test and deploy

AI-powered lending solutions.
- Automate at scale: Use AI and machine learning to automate underwriting, collections, pricing and operations.
- Stay compliant by design: Ensure every model and product meets RBI guidelines and regulatory frameworks.

WHAT YOU BRING

- Experience: 4+ years in AI/ML, data science, risk management or credit analytics, at an NBFC or digital lender with a Personal Loan product.




- Modelling depth: Proven expertise in machine learning, predictive analytics and financial modelling.
- Technical strength: Strong Python and SQL, with hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch and Scikit-learn.
- Engineering exposure: Experience with API integration and cloud platforms (AWS, GCP or Azure).
- Credit expertise: Deep understanding of credit underwriting, credit policy drafting and credit risk management.
- Sharp mind: Analytical, detail-obsessed and a natural problem solver.
- Influence: Clear communicator who can manage stakeholders and present insights with confidence.
- Ownership: Juggle multiple priorities, make the call and deliver on time.

WHAT WE OFFER

- Real ownership: your models go live in front of real customers, not into a slide deck. You own the problem from idea to production.
- Startup speed: no layers, no red tape. Ideas go from whiteboard to live fast, and you see the impact rapid.
- A seat at the table: work directly with the founders, in the room where big decisions are made.
- Problems that matter: live lending data at scale, where your work moves approvals, losses and customer experience.
- Room to grow fast: mentorship, hands-on GenAI and LLM work, and a scope that grows as we scale.
- Rewards that match impact: competitive salary and performance-based incentives.
- A team that builds: collaborative, fast-moving and open to bold ideas.

WHY JOIN US?

- Learn from the founders: work directly with Mikhil Innani, former co-founder of PharmEasy and ex-Product Head at Hotstar, and Diksha Nangia, a former banker and CFA Charterholder.
- Best of both worlds: startup energy and speed, backed by the stability of a publicly listed company.

HOW TO APPLY

Excited to build scalable AI-powered lending at the forefront of digital finance? Send your CV to [email protected].

📌 Data Scientist (Mumbai)
🏢 Apollo Finvest
📍 Mumbai