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5 дней назад

Analyst (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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