Senior Analytics Specialist at Razorpay Software Private Limited

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Mining, Statistical Analysis, Machine Learning, SQL, Data Pipelines, A/B Testing, GenAI, Problem Solving, Project Management, Communication, Storytelling, Consumer-Tech Experience, MLOps, Responsible AI, Cloud Services

Industry

Software Development

Description

Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision — to simplify payments for Indian businesses — we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From seamless checkouts to payroll automation, across India, Singapore, and Malaysia, we’ve been engineering a fintech ecosystem that’s redefining how money moves across Asia — and we’re just getting started. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme — and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce Ventures, having raised over $740 million to date. Strategic acquisitions — including Ezetap (POS and offline payments), Curlec (Malaysia expansion), BillMe (digital invoicing), and POP (rewards-first UPI) — along with earlier moves in fraud prevention, payroll, and lending, have further strengthened our platform and widened our footprint across Asia. But what truly sets Razorpay apart is our culture. At Razorpay, ownership is our oxygen — you own what you build, with no micromanagement or red tape, just the runway to make your ideas fly. Learning is a lifestyle — if you’re curious, you’ll feel at home here. People > Pedigree — we hire for attitude, hustle, and hunger more than degrees. Transparency thrives over titles — this is where interns question CXOs and CXOs say “thank you.” Guided by our values of Customer First, Autonomy & Ownership, Agility with Integrity, Transparency, Challenging the status quo and a strong belief that Razorpay grows with Razors, you’ll be part of a 3000+ strong team building not just products, but the financial infrastructure of the future. The Role: Senior Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Roles and Responsibilities: Work with large, complex data sets to solve open-ended, high-impact business problems using data mining, experimentation, statistical analysis, and machine learning as appropriate. Develop a deep understanding of the business and product to identify opportunities where GenAI and data-driven solutions can create impact; formulate hypotheses and validate them using rigorous analytical methods. Build and deploy modular, production-grade Python code to support use cases including prompt engineering, LLM-powered tools, and process automation using GenAI APIs. Design and optimize data pipelines and workflows to support both traditional analytics and GenAI model integrations. Apply strong problem-solving skills and first-principles thinking to independently scope and structure analytical solutions, integrating the latest in GenAI and ML where relevant. Drive automation and scalability of recurring insight generation, using GenAI or conventional approaches to reduce manual effort and enable self-serve insights where possible. Maintain high standards in project management, including clear scoping, timeline ownership, and proactive communication. Mandatory Qualifications: Bachelor’s/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Computer Science, or a related quantitative field. 3+ years of high-quality hands-on experience in analytics, data science, or ML-based product development. Proficiency in Python with experience writing modular, reusable code; prior experience integrating GenAI models via APIs (e.g., OpenAI, Claude, Gemini, etc.) and building LLM-powered applications. Hands-on experience with SQL and working with structured, semi-structured, and unstructured data. Experience designing or maintaining data pipelines and workflows (e.g., using Airflow, dbt, or equivalent). Experience applying A/B testing, significance testing, and both supervised and unsupervised ML techniques. Prior experience in consumer-tech or product-oriented organizations is a plus. Strong communication and storytelling skills with the ability to influence stakeholders through data and logic. Good to have: MLOps & Infrastructure: Build and maintain automated pipelines for model versioning and deployment (for example, using Datarobot, Airflow, Github). Responsible AI: Set up checks for bias, fairness, and harmful outputs in all LLM-powered features. Cloud & Scaling: Deploy and scale Python services on AWS (Lambda, ECS/EKS). Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe. Follow us on LinkedIn & Twitter

Responsibilities

The Senior Analytics Specialist will work with large, complex data sets to solve high-impact business problems and develop a deep understanding of the business and product. Responsibilities include building and deploying Python code, designing data pipelines, and driving automation of insights.