Oct 2022 – Present · 3 yrs 7 mos · India · Hybrid

• RapidAML is a dedicated product brand under Facctum, purpose-built for the DNFBP segment - extending the Facctum compliance platform to non-banking financial institutions and enterprise users outside the traditional banking perimeter.

Mar 2019 – Sep 2022 · 3 yrs 6 mos

• A very different kind of challenge from building from scratch. Barclays had 25 million customers, decades of data, and the kind of institutional gravity that comes with being a 300-year-old bank. The question wasn't what to build or who to sell to; it was how to make a legacy machine work harder and find new ways to create value for customers who were already there.
• I sat inside the CIO's office at the intersection of data, product, and strategy. We launched ecosystem-led propositions from scratch covering travel, lifestyle, sports, and sustainability that generated real revenue in year one. I focused on turning the bank's massive data assets into actual customer products rather than just entries in a ledger.
• Somewhere in between, I helped the technology organization move faster by diagnosing the friction points and redesigning how we executed. I learned what it means to operate at scale, and why doing anything meaningful inside a giant institution requires as much patience as it does ambition.
• Worked cross-functionally with various product, engineering, design and data teams across India, UK & Europe

Apr 2018 – Sep 2018 · 5 mos · Paris Area, France · On-site

• A capstone consulting project that offered a window into the machinery of global banking. I worked with the Group Finance function on their digital transformation agenda - the unglamorous but important work of making a large global institution run better from the inside.
• The focus was on identifying how a legacy finance function could shed manual weight and move toward a more digital, data-driven operating model. It was an early lesson in the fact that digital transformation isn't just about the technology you buy, but about how you convince a global organization to change how it thinks.

Sep 2012 – Aug 2017 · 4 yrs 11 mos · Mumbai Area, India · On-site

• Small fish in a big pond. This was entry level, but the challenge was anything but small. The question was how do you grow a retail bank at scale when you already have the products and the customers?
• I used data to tackle that growth challenge. It wasn't the glamorous AI of today; it was simple regression models, adjacency matrices, and the unglamorous statistical work that nobody makes movies about. But it worked. I earned three promotions in a span of five years and built deep leadership connects by delivering actual results.
• Most importantly, I learned how retail banking actually operates from the inside. I saw the messiness that comes with aspirational scale and realized why the reality of the industry looks nothing like the movies.