What are the responsibilities and job description for the Fraud Analytics Manager (US) position at Lendable?
About Lendable
Lendable is on a mission to make consumer finance amazing: faster, cheaper and friendlier.
> We're building one of the world’s leading fintech companies and are off to a strong start:
> One of the UK’s newest unicorns with a team of just over 400 people
> Among the top 10 fastest-growing tech companies in the UK
> Profitable since 2017
> Backed by top investors including Balderton Capital and Goldman Sachs
> Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)
So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.
We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.
Join us if you want to
> Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1
> Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
> Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting
About the role
We are looking for a Fraud Analytics Manager to lead and scale our fraud prevention strategies across personal loans and credit cards. In this role, you will drive the design, implementation, and optimization of fraud detection models and strategies. You will work closely with other business areas, including product, data science, engineering, and operations, to stay ahead of emerging fraud threats.
This role will report to the Lead Product Manager of US Cards.
What you'll be doing
- Strategy Development: Design and implement end-to-end fraud detection strategies (first party and third party) for personal loans and credit cards across the product lifecycle (customer acquisition, account takeover/credit card transactions, and payments).
- Data Analysis and Insights: Analyse usage patterns and trends to measure and optimize the effectiveness of existing fraud strategies, including balancing value from fraud prevention vs. opportunity cost of false positives. In addition, manage the suite of dashboards and tools to monitor key fraud metrics and quickly detect fraud attacks.
- Fraud Operations: Work closely with operations to continue improving workflows and case management for fraud investigations and build out and enhance fraud operations processes.
- Benchmarking: Participate in industry roundtables and events to research new fraud technologies and trends.
Your experience
- Experience: 3 years of experience in fraud analytics for unsecured lending products, ideally with credit cards; familiarity working with third-party fraud detection tools.
- Technical Skills: Proficiency in SQL or Python for data analysis; familiarity with decision trees or other predictive modelling is a plus
- Domain Knowledge: Familiarity with applicable laws and regulations that impact Zendable’s business including BSA, OFAC, GLBA, TILA including the Credit Card Accountability, Responsibility and Disclosure (CARD) Act of 2009, FCRA, UDAAP, FDCPA, ECOA, E-Sign, EFTA, and NACHA.
- Education: Bachelor’s degree in a quantitative field (e.g., statistics, mathematics, economics, or data science).
Life at Lendable
> The opportunity to scale up one of the world’s most successful fintech companies.
> Best-in-class compensation including equity.
> You can work from home every Monday and Friday if you wish - on the other days, we all come together IRL to be together, build and exchange ideas.
> 401k plan and medical insurance (optical dental covered)
Check out our Glassdoor page for more insights!