Headline

Product Manager | Cross-Border Payments | RBI PA-CB | Compliance Infra & AI Builder

About

I'm a Fintech Product Manager with 8 years of experience across development, data science, and product management. Starting out as a .NET developer, I transitioned into data science and eventually found my stride in building products that sit at the intersection of business and technology. At EximPe, I lead cross-functional teams to build scalable solutions for cross-border payments and financing. My work has contributed to over $100 million in transaction volume, launched new product lines, and optimized customer onboarding and vendor systems—reducing costs by 60% and turnaround time by 80%. I’m deeply involved in product analytics, vendor integrations, and aligning user feedback with product strategy to deliver real impact. My technical toolkit includes Python, R, SQL, and hands-on experience with tools like ClickUp, Mixpanel, OpenReplay, Miro, and more. Outside of work, I enjoy trekking, music, travel, and writing on Medium, where I share stories and product insights. I'm passionate about solving real-world problems through thoughtful product design and smart execution. Whether it’s fintech, product-led growth, or any innovative space—I’m always up for a good conversation. Let’s connect!

Location

India

AI stack

claude code

claude

gemini

geminicli

mcp

railway

Work experience

Product Manager at Eximpe, Mar 2022 - Present · 4 yrs 6 mos, Bengaluru, ◦ Cross-Border Collections — Launched INR collections (UPI, cards, net banking) for international merchants; owned partner specs and PSP integrations end-to-end. Went live with 3 PSPs and onboarded 30+ merchants in month one, with 10+ more PSPs under active integration. ◦ Trade Accounts — Owned bank-backed current accounts for Indian importers/exporters from spec to scale, driving ₹1,000Cr+ cumulative volume. Rebuilt onboarding with data prefill and decision-led workflows, cutting TAT 50% and improving qualified conversion 35%. ◦ Multicurrency Virtual Accounts — Launched virtual accounts for freelancers and MSMEs across USD (ACH/Fedwire), EUR (SEPA), GBP (FPS), and CAD (EFT). Scaled adoption across all 4 corridors in year one, driving 20x volume growth. ◦ Operational Systems — Built and shipped the core ops stack: a multi-aggregator reconciliation engine (≥95% auto-match) with multi-level ledgering, a 27-rule TMS, and a KYC + maker-checker risk decisioning workflow. ◦ Compliance & Controls — Core member of the team that secured RBI PA-CB and PCI DSS Level 1 compliance. Drove cryptography policies, incident workflows, vendor risk reviews, and audit evidence across 50+ ISMS / PCI controls. ◦ AI-Assisted Product Building — Independently prototypes and ships internal tools using LLMs to accelerate ops, support, and product workflows. Built an in-house transactional email platform replacing a third-party SaaS, reducing engineering dependency for internal automation.

Assistant Data Scientist at Nielsen, Jul 2021 - Feb 2022 · 8 mos, Kochi, ◦ Nielsen Identity Engine — EDA Lead: Led exploratory data analysis for the Nielsen Identity Engine, surfacing structural patterns and data-quality insights that informed downstream modeling decisions. ◦ TV Attribution Workflow — End-to-End Automation: Completed full automation of the TV Attribution product workflow in R, Shell, and Jenkins — cutting client report turnaround from 2 weeks to 3 days and freeing analyst capacity for higher-leverage work. ◦ Recognition — Nielsen Simply Excellence Award (Gold): Awarded for the TV Attribution automation work — recognized for measurable impact on team productivity and delivery velocity.

Data Analyst at Nielsen, Jun 2018 - Jul 2021 · 3 yrs 2 mos, Kochi, ◦ TV Attribution & Marketing Measurement: Delivered TV attribution and ad-spend optimization analyses for Fortune 500 clients across retail, healthcare, and broadcasting verticals as part of the TV attribution team. ◦ Rule-Based Model Selection — 90%+ Accuracy: Designed a rule-based model selection framework that reached above 90% accuracy in production, simplifying model specifications across the attribution pipeline. ◦ Predictive Modeling — 30% Stability Lift: Implemented VIF-based feature selection and ensemble methods that improved predictive model stability by 30%, producing more reliable measurement outputs for client deliverables. ◦ Recognition — Nielsen Simply Excellence Award (Silver): Awarded for client delivery excellence on a Fortune 500 account.

Intern at Nielsen, Feb 2018 - Jun 2018 · 5 mos, Ernakulam, Kerala, India, ◦ TV Attribution — Client Refresh Ownership: Supported the TV attribution team across Fortune 500 client refreshes — took ownership of multiple refresh cycles end-to-end while building proficiency in R and applied ML fundamentals. ◦ Workflow Automation: Authored R scripts to automate pre- and post-processing of client data, reducing manual handling across the refresh workflow.

Junior Software Engineer at CareStack™ - Dental Practice Management, May 2017 - Dec 2017 · 8 mos, Thiruvananthapuram Area, India, Part of the product development team. Was involved in client-side and server-side development using Net C#, Angular JS, MSSQL • Developed the back-end of the Patient Forms module. • Completed various front end and back end tasks across the product • Worked in the product support team to provide technical support during US working hours.

Education

Bachelor's degree, Computer Science, Model engineering college

Bachelor of Technology, Computer Engineering, Government Medical College

Public links

github: https://github.com/anilvignesh

medium: https://medium.com/@anilvignesh-08