Description
Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start.
You will be working in the UK Loans team at Lendable and will work on projects related to pricing, funnel and credit optimisation in collaboration with the credit and product teams.
Key responsibilities:
- Learn the domain of products that Lendable serves, understanding the data that informs strategy and modelling
- Research and propose improvements to existing pricing strategies and modelling methodology
- Work closely with the credit team to align pricing decisions with credit risk and underwriting strategy
- 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
Requirements:
- Experience using Python (pandas, numpy, scikit-learn) and SQL
- Theoretical understanding of core ML techniques and statistical principles
- Strong numerical and analytical skills, comfortable working with large datasets
- Confident communicator and contributes effectively within a team environment
- Self-driven and willing to take ownership of specific tasks and analyses
- 1-2 years' experience in a technical, analytical or data-focused role
Nice to have:
- Exposure to credit risk or financial datasets
- Interest in Data Engineering
- Prior experience with financial or pricing modelling
We offer:
- Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites
- Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
- Health coverage: support for your physical and mental wellbeing, including private health cover
- Retirement & savings: long-term financial wellbeing through retirement savings plans
- Employee referral programme: earn a competitive bonus when you refer successful new team members
- Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
- Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations