Data Science Manager (US Products)
London
Data Science Team – Data Science Team /
Full time /
Hybrid
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 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 excited to be hiring a Data Science Manager (US Products) into our team! Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the heart of this USP, developing the best in market credit risk models.
You will directly report to the Head of Data Science (Catherine Chen) who is managing the data science team across UK and US products. You will manage a team of 2 experienced and self-sufficient data scientists who are dedicated to US products. Although this role will be working closely with our US products, it will be based in London and follow our UK working hours.
Our teams objectives
- The data science team develops proprietary behavioural models combining state of the art techniques with a variety of data sources that inform market-facing underwriting and pricing decisions, existing customer management, and marketing.
- Data scientists work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions.
- We self-serve with all deployment and monitoring, without a separate machine learning engineering team.
- Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement.
How you'll impact these objectives
- Own the data science roadmap to contribute to business objectives and prioritise projects based on impact.
- Build trust and influence a diverse range of leaders and stakeholders.
- Drive many exciting data science projects from both strategic level and tactical level.
- Research new data sources, advise on costs / benefits of introducing the data into lending decisions.
- Clearly communicate results to stakeholders through verbal and written communication.
- Share ideas with the wider team, learn from and contribute to the body of knowledge.
- Be a great mentor to a team of talented data scientists and the broader analytics community.
What we are looking for
- Excellent technical skills in Python, SQL, and statistics
- Extensive knowledge of the credit industry, including the products, data, typical ML applications, and related regulations
- Hands-on experience across the model lifecycle from scoping and model development to deployment and monitoring
- Successful track record of managing complex projects, with cross-functional teams and senior stakeholders
- Confident and effective communication both internally and externally
Nice to have
- Experience of managing data scientists
- Experience in data engineering
- Knowledge of software engineering principles
Interview process
- Initial call with TA
- Hiring Manager Call
- Take home task
- Task debrief and case study interview
- Final interviews with Head of US, CRO and Head of Data Science
Life at Lendable (check out our Glassdoor page)
> 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.
> Our in-house chef prepares fresh, healthy lunches in the office every Tuesday-Thursday
> We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance
> We're an equal opportunity employer and are looking to make Lendable the most inclusive and open workspace in London
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