Company: Lark Finserv Private Limited

Location: Noida, India

Experience: 3+ years

Employment Type: Full-time

Industry: Fintech / Lending / Wealthtech

About Lark FinservLark Finserv is building credit infrastructure for the investment economy, enabling digital lending against financial assets such as mutual funds, stocks, bonds and other securities.

Our technology platform connects wealth platforms, distributors, brokers, fintechs and lenders through API-first lending infrastructure. We are building the next generation of Investment-Backed Credit in India.

Role OverviewWe are looking for a Data & Financial Analyst who can build the Data Intelligence layer at Lark.

This is a high-impact role combining data analytics, financial analysis, business intelligence and AI. The candidate will be responsible for converting Lark's operational, customer, lending and financial data into actionable intelligence that helps management make better and faster business decisions.

The role will involve building data models, business metrics, financial analysis, intelligence dashboards and AI-enabled analytical capabilities.

The ideal candidate should think beyond traditional MIS and ask:

What does the data tell us? What is changing? Why is it changing? What should we do about it?

Key Responsibilities

1.

Build

Lark's Data Intelligence Layer

- Design and build the data intelligence framework for Lark's business.
- Create a structured data layer combining business, financial, customer, lending, partner and operational data.
- Define and maintain a single source of truth for critical business metrics.
- Develop automated data pipelines, analytical models and management dashboards.
- Establish data standards, definitions and governance for key business metrics.
- Build systems that enable teams to access and interpret business intelligence quickly.

2. AI-Powered Data Intelligence

- Explore and implement AI/ML capabilities for business and financial intelligence.
- Build AI-assisted analytical tools that can identify trends, anomalies, correlations and business opportunities.
- Use AI to generate insights from large volumes of structured and unstructured business data.
- Develop intelligent reporting and analytical workflows that can answer business questions using company data.
- Identify opportunities to automate recurring MIS, analysis and decision-support processes using AI.




- Work with technology and product teams to build an AI-powered intelligence layer over Lark's data.

3. Data-Driven Decision Making

- Convert raw data into insights that directly support business decisions.
- Build analytical frameworks for pricing, growth, lending, partner performance, customer behaviour and profitability.
- Identify trends, bottlenecks, leakage and growth opportunities.
- Develop predictive and scenario-based analysis to support strategic decisions.
- Work closely with leadership to answer critical business questions through data.
- Establish data-driven decision-making processes across the organization.

4. Business Metrics & Performance Analytics

- Define and track critical business KPIs and North Star metrics.
- Analyse loan applications, sanctions, disbursements, utilization and portfolio performance.
- Track partner-level and lender-level performance.
- Build funnel, cohort and conversion analysis.
- Analyse customer acquisition, engagement and retention metrics.
- Develop business scorecards and performance dashboards.
- Identify the drivers behind changes in key business metrics.

5. Financial Analysis & Modelling

- Develop financial models and business forecasts.
- Analyse revenue, margins, NIM, processing fees, costs and profitability.
- Build unit economics for products, partners and channels.
- Prepare budgets, forecasts and scenario analysis.
- Track actual performance against business plans.
- Analyse product and partner profitability.
- Support management in evaluating current products, partnerships and business opportunities.

6. Lending & Portfolio Intelligence

- Analyse loan origination and portfolio data.
- Track approval rates, ticket sizes, utilization, disbursement and repayment trends.
- Develop portfolio and cohort-level analytics.
- Identify portfolio trends, anomalies and potential risks.
- Provide data intelligence to support lending, credit and risk decisions.
- Analyse lender performance and economics.

7. Management Reporting

- Build automated dashboards and management MIS.
- Create daily,



weekly and monthly business intelligence reports.
- Reduce dependency on manual reporting and spreadsheet-based analysis.
- Present insights and recommendations to senior management.
- Ensure accuracy, consistency and timeliness of critical business data.

Required Skills & Experience

- 3+ years of experience in Fintech, Lending, NBFC, Banking, Wealthtech or Financial Services.
- Strong understanding of financial analysis and business metrics.
- Excellent analytical and problem-solving abilities.
- Strong Excel / Google Sheets and financial modelling skills.
- Strong working knowledge of SQL.
- Experience with BI tools such as Power BI, Tableau, Metabase or similar.
- Understanding of data modelling, databases and analytical frameworks.
- Ability to work with large datasets.
- Strong understanding of financial and lending KPIs.
- Excellent communication skills with the ability to explain data insights to business stakeholders.

Preferred Skills

Experience with

- Digital lending / LAS / LAMF
- NBFC / fintech analytics
- Loan portfolio analytics
- Financial modelling and forecasting
- Business intelligence
- Data warehousing
- Python / R
- Machine Learning / AI
- Generative AI / LLM-based analytics
- Predictive analytics
- Customer and cohort analytics
- Lending funnel analytics
- Mutual funds, securities or wealth management

The Ideal CandidateWe are looking for someone who wants to build, not just report. You should be able to move from:

Data → Intelligence → Insight → Decision → Business Impact

You will have the opportunity to build Lark's Data Intelligence and AI layer from the ground up, working closely with the Founder, Finance, Business, Product, Technology and Operations teams.

Why Join Lark

- Work at the intersection of Fintech, Wealthtech, Lending and AI.
- Build the data intelligence infrastructure of a rapidly scaling fintech.
- Work directly with the founding team.
- High ownership and exposure to strategic decision-making.
- Opportunity to build AI-powered business intelligence systems from scratch.
- Work with real-world financial, lending and investment data.
- Be part of a company building the credit infrastructure for India's investment economy.

Apply: Share your CV along with a brief note highlighting your experience in fintech data analytics, financial analysis, BI or AI/data intelligence.

📌 Data and Financial Analyst (Noida)
🏢 LARK FINSERV- THE LAS
📍 Noida