It’s really 34 algorithms, with top-grade bank-level security. MoneyScience was developed by experts in data science and financial services and tested on over 50,000 users.
MoneyScience is built to be tailor-made. The system researches each user’s individual spending habits and evaluates the fastest, smartest ways to meet their individual goals.
MoneyScience does it all intelligently, making payments and creating budgets, always optimized for savings. It even adjust to users finances.
Avi has three Masters’ degrees from the University of Oxford and the London School of Economics. He is an experienced data sciences expert with 11 years in data science research and data science products. He has built data science systems in banking and financial services as well as several other industries such as retail, advertising, automotive and manufacturing.
He was a leader in McKinsey’s Advanced Analytics practice, working with companies in the US, UK and Asia. He has also served as Vice-President of InMobi’s Data Sciences and Machine Learning teams.
After graduating from Princeton, Petko built his career in financial services with McKinsey & Company and Resolution Capital. Petko is a serial entrepreneur and an expert in banking and financial services. He has built and launched financial technology products in the US and Europe.
Most recently, before Bright, Petko built and launched a consumer lending company that helped thousands of commuters in Europe lower their costs and realize substantial savings.
Alex is a consumer product builder with a decade of experience at major brands. He’s been a frontline leader, growing product and growth teams at Amazon, Yahoo! and elsewhere.
As a senior product manager, he spearheaded the Product Growth team at Amazon, serving 55 million subscribers. Previously, he kickstarted Yahoo’s Mail Growth team, serving 300 million active subscribers.
Avi has three Masters’ degrees from the University of Oxford and the London School of Economics. He is an experienced data sciences expert with 11 years in data science research and data science products. He has built data science systems in banking and financial services as well as several other industries such as retail, advertising, automotive and manufacturing.
He was a leader in McKinsey’s Advanced Analytics practice, working with companies in the US, UK and Asia. He has also served as Vice-President of InMobi’s Data Sciences and Machine Learning teams.
Varun is a Computer Science graduate from I.I.T Kanpur. He is a highly experienced A.I. engineer and data scientist, with a decade of experience. He was with InMobi for 7 years where he played leading roles in building the Wadogo marketplace, Performance marketing prediction systems, Creative analysis systems, Recommendation systems and Time-series systems. Varun is passionate about applying data sciences and A.I. to solve real business problems. He is an active teacher and speaker for young engineers and data scientists.
Amit is a Computer Science graduate from I.I.T Kanpur. He is a highly experienced data science system builder. He was with InMobi for 7 years where he played leading roles in performance marketing, survey fraud detection, marketplace matching systems and content personalisation. He achieved 2 patent filings for his data science innovation at InMobi and published 5 research papers overall. At Bright, he leads the Data Science and Analytics teams. He is the lead inventor of the Bright Debt Manager system that has been filed for a patent in the US and India.
Avinash is an Engineering graduate from IISc and BITS-Pilani. He is an experienced engineer and big data architect. He was with InMobi for 5 years where he played leading roles in designing Big Data user management systems. At Bright, he leads the architecture and implementation for Bright’s payment systems, the Bright banking system, and Bright’s in-house Growth Science platform.