Analyst

Responsibilities

• Be resourceful to solve problems and find smarter solutions than the status quo
• We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions
• Research and propose improvements to our 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

Preferred

• Exposure to credit risk or financial datasets
• Interest in Data Engineering
• Prior experience with financial or pricing modelling

Take ownership

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

• Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions
• Build the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy lifting

About the team

Lendable is the UK market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science and Analytics sits at the heart of this, developing the credit risk models and strategies to underwrite loan and credit card products.

Our team is primarily focused on the pricing domain but we also work on other areas including product and credit. We implement a range of machine learning techniques and analytical tools to continually improve our product offering.

About the role

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.

Join us if you want to

• Work in a small, high-impact team where you will be mentored to solve complex analytical problems, eventually taking ownership of your own models
• Work closely with other members of the team that will support developing your technical expertise and domain knowledge

Our team's objectives

The pricing team owns the loans funnel analytics and pricing strategy

How you'll impact those objectives

Learn the domain of products that Lendable serves, understanding the data that informs strategy and modelling is essential to being able to successfully contribute value

Key Skills

1-2 years' experience in a technical, analytical or data-focused role

The interview process

• A phone call with one of the team
• Video Call case study (Remote)
• Onsite Interview
• Culture Interview
• Meet the team you'll work with daily
• Life at Lendable

Winning team

the opportunity to scale up one of the world’s most successful fintech companies

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

Please note

• The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.
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