I have 15+ years of experience in Risk Management and Data Science building and maintaining credit scores, decision strategies and modelling portfolios in Banking (e.g. GE Capital) and Fintech (e.g. ID Finance). In my work I focus on product economics and employ machine learning and data analytics tools such as R, Python, SAS, Power BI, and Tableau to bridge the gap between business needs and technical expertise. I'm especially good at GTM
What I offer
FinTech Credit GTM Data Strategy
Entering a market without in-house data as a business with credit risk exposure can be very expensive. I help analyse available data providers to come up with non-standard ways to utilize their data and build internal risk assessment tools such as credit scores without accumulating defaults.
I focus on the business challenges of a credit business while employing data-driven solutions. This includes managing default rates, approval rates, credit portfolio cash flows, credit scoring, and dashboards
I build in-house credit scoring models using available in-house and external data applying modern machine learning techniques. I find ways to look at data differently to extract more value from less data
I analyse your documents and data, talk to stakeholders and tech people to dive deep into your existing processes and challenges. I identify potential growth points and help find practical solutions