Louise Lunn, Vice President, Global Analytics Delivery, FICO talks about the ways in which data science and analytical approach can transform unstructured data
1. Tell us about yourself and your role at FICO?
I graduated from university over 25 years ago with a degree in Systems Modelling – which was all around using mathematical, statistical and computer models to understand, plan and make decisions in complex situations.
My first role was modelling within credit risk, and I’ve stayed within the analytics / software space ever since. Fast forward to today: I oversee teams of data scientists worldwide who develop custom analytics solutions and exploratory analytics projects for the world’s top banks, as well as retailers, telecommunications firms, insurance companies and other businesses.
I was shortlisted for last year’s Women in Credit Awards, in the Team Leader of the Year – Data, Risk & Analytics category, and am one of 20 women featured in FICO’s award-winning video on the importance of diversity in analytics.
2. What attracted you to a career in analytic software? What life choices led you to FICO?
Bringing together predictive analytics, decision support technologies and strategy optimisation to enrich customer data and allow organisations to proactively manage their relationships with customers was my first role, which felt a huge challenge at the time straight out of university with only theory to pull on. Providing complete solutions requires a thorough understanding of business problems faced by clients, which I have developed over the years. My curious nature is why I have stayed in the consultancy space for so many years — I enjoy demonstrating how our pro
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