Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling.
Build deep insight into marketing campaign and conversion funnel performance, identifying opportunities to improve cost and conversion efficiency.
Stay abreast of industry trends and competitor activity to ensure our products remain fit for purpose.
Collaborate closely with the Credit Risk Analytics, Growth and Data Science teams to understand how our products and portfolio are performing at a granular sub-segment level.
Define key KPIs and develop detailed monitoring to track performance against these goals, and deliver actionable recommendations to improve outcomes. Use strategic analysis to shape and influence broader business strategy.
Navigate through ambiguity to assess the feasibility of new product, channel and segment expansion opportunities.
Create robust commercial assessment frameworks, build tooling where necessary (e.g. RoI or NPV models) and extract data to support these assessments and deliver clear, insight-driven recommendations.
Collaborate with stakeholders across Credit Risk, Data Science, Product and Growth to bring your strategies to life.
Present insights and recommendations to senior leadership
clear, concise, and backed by data.
Approach every conversation with an open mind, valuing the strength of ideas over ego or hierarchy.
Ensure your implemented strategies are working as intended once deployed in production, validating outcomes and iterating as needed.
Opportunity to mentor and coach more junior graduate analysts, fostering their technical growth and strategic thinking.
Well defined career progression pathways to Manager/Senior Manager for high performers.
Requirements
3+ years of experience in an analytics role in any discipline (e.g. Growth, Credit Risk, Product Analytics, Marketing, etc.)
Proficiency in coding
ideally SQL and Python.
Experience in an FCA-regulated financial services firm.
Tech Stack
Python
SQL
Benefits
Best-in-class compensation, including equity.
You can work from home every Monday and Friday if you wish
on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas.
Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks 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.