5 дней назад
Analyst (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analyst (Fintech) (Python/SQL/ML): Developing pricing, funnel, and credit optimisation analyses for UK loan products with an accent on statistical modelling, large datasets, and risk-based pricing. Focus on researching pricing strategy improvements, aligning pricing with credit risk and underwriting, and communicating analytical recommendations to stakeholders.
Location: London, United Kingdom; hybrid. Work from home is available on Mondays and Fridays, with office attendance on other days.
Company
is a fintech company developing technology for consumer loans, credit cards, and car finance in the UK and US.
What you will do
- Analyse loan pricing, funnel performance, and credit optimisation opportunities.
- Research and propose improvements to pricing strategies and modelling methodology.
- Work with credit and product teams to align pricing decisions with credit risk and underwriting strategy.
- Translate business problems into data questions and recommend solutions.
- Communicate analytical results clearly to stakeholders in written and verbal formats.
- Build expertise in the product domain, data, and modelling approaches while taking ownership of analyses.
Requirements
- 1–2 years of experience in a technical, analytical, or data-focused role.
- Experience with Python, including pandas, numpy, and scikit-learn, as well as SQL.
- Theoretical understanding of core machine learning techniques and statistical principles.
- Strong numerical and analytical skills with experience working with large datasets.
- Confident communication skills and the ability to contribute effectively within a team.
- Self-directed approach and willingness to take ownership of tasks and analyses.
Nice to have
- Exposure to credit risk or financial datasets.
- Interest in data engineering.
- Experience with financial or pricing modelling.
Culture & Benefits
- Small, high-impact team with mentoring and opportunities to develop technical and domain expertise.
- Best-in-class compensation, including equity.
- Work-from-home option on Mondays and Fridays.
- Fresh, healthy lunches prepared in-house from Tuesday to Thursday.
- Private health insurance supporting physical and mental wellbeing.
- Inclusive workplace in London and equal-opportunity employment.
Hiring process
- Phone call with a team member.
- Remote video-call case study.
- Onsite interview including a culture interview and meeting the team.
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