Founded in 2003, GAIN Credit is a tech-forward, inclusive, and responsible business using world-class innovative technology and data science to provide endless gaining opportunities for customers, employees, and merchants alike. At GAIN Credit, our mission is to empower lives, which is about providing solutions that meet the credit needs of society in an affordable and responsible manner, ensuring that we always treat customers fairly, helping our customers when they need it most by providing access to credit and giving them realistic timelines to re-pay.

Our flagship brands – Lending Stream & Drafty – enjoy 4.4 & 4.3 ratings onTrustPilotrespectively (UK’s leading customer review website). Drafty – our pioneering credit-line product – is a first-of-its-kind, no-fee credit line and has been awarded ‘Innovation of the Year’ for 2017 and 2018 by the Consumer Credit Awards.In India, we are among the top 55 Great places to work. People at GAIN Credit – ‘GAINers’ as we call them – are our assets. We believe happy people lead to happy customers. And this is why a great work culture is a super high priority at GAIN Credit. We make that happen through living our company values in every interaction we have with each other. In fact, we believe the only way to ‘gain’ at GAIN Credit is through living our company values.

Some of our awards:

·Rankedamong India Great places to work (mid-sized segment) in 2025-26

·Best Short-term loan provider at Consumer Credit Awards - 2025

To know more about us:

Website: www.gaincredit.com

LinkedIn: https://www.linkedin.com/company/gaincredit/mycompany/

Is this the place for you?

As a GAINer, you will get to focus on your personal and professional gains, experience an award-winning workplace culture, access to perks, maintain work-life balance, and contribute to the community in meaningful ways. As a GAINer, integrity will guide everything you do, with a service mindset that puts others first. You will foster curiosity to drive learning, focus on continuous improvement, and take accountability for your actions to deliver exceptional outcomes.

We strongly believe in:

At GAIN Credit, we believe that our fantastic teams help build the best products that enable us to understand and attract more customers. Therefore, we completely support and welcome diversity across thoughts, people, and actions.We care about our employees, and their well-being and have many on-going activities to boost their physical, mental, and financial wellbeing. We encourage people from diverse backgrounds, culture, age, gender, orientation, and abilities to apply for all our openings and offer reasonable support to achieve their professional goals.

Our core strength:

We are at the core, an analytics company, founded by people who, about 30 years ago, were pioneers in applying predictive modelling to solve business problems. As we morphed into a financial services company from being an analytics consultant, we continued to train our scientists to apply these techniques, as well as cutting-edge advances, and become a transformative leader in credit underwriting in the UK.

Work Location – Chennai, India

Role type – Full-time

Office presence – contracted for up to 5 days per week in office; current requirement is 2-3 days per week

Role Purpose

We're looking for a Finance Analyst - MI to own the data and management information the Finance function and wider business depend on. You'll take ownership of recurring data requests so that our Finance Manager - MI can focus on insight rather than fulfillment. You'll be responsible for ensuring that data reaching decision-makers is accurate, timely, and reconciled to source.

Key Responsibilities

Produce recurring management information to agreed timetables
Fulfill audit, funder, and regulatory data requests accurately and on time
Handle business-as-usual data queries from across the organization
Maintain documentation of data definitions and the logic behind recurring outputs
Reconcile reported data to source systems and investigate discrepancies
Apply and maintain controls over recurring data processes, including maker and checker arrangements
Escalate data quality issues promptly rather than working around them
Identify opportunities to automate recurring data production, particularly using AI
Support the development of reporting infrastructure and automated pipelines
Contribute to maintaining a single, agreed source of truth for key business metrics

Skills and Capabilities

10+ years of experience in a data or MI role
Strong SQL and Python skills; confident working with large datasets
Strong Excel skills – including lookup functions, pivot tables, and complex analysis
Methodical approach with high standards of accuracy; able to create and maintain data quality processes
Commercially focused; understands wider business impact alongside the data perspective
Agile and adaptable to new structures, policy changes, and product-level changes
Clear communicator; comfortable challenging and clarifying requests to ensure efficiency
Effective time management; autonomous in managing routine work and prioritizing to deadlines
Reliable and consistent under recurring deadlines
Strong attention to detail with a high bar for accuracy and data integrity
Proactive in flagging issues rather than delivering something known to be imperfect
Collaborative across teams and time zones
Desirable: experience with Power BI, Tableau, NetSuite, Pandas, or process improvement using AI; background in lending, financial services, or regulated environments

What Success Looks Like

You understand the core data warehouse model and the definitions behind standard outputs. You produce standard recurring MI deliverables to timetable (initially under review) and document the data definitions and logic behind each output you take on.
You own an agreed set of recurring MI and business-as-usual data queries end-to-end. You reconcile reported data to source systems as standard, with discrepancies investigated rather than noted. You've delivered the first two recurring processes automated end-to-end with maker and checker arrangements applied.
You own audit and funder requests with limited review needed from the Finance Manager - MI. You show measurable reduction in manual effort across recurring data production. You identify and escalate data quality issues before they reach decision-makers as a matter of routine. You have the next set of automation targets agreed and underway.