Behavioural/decision/data/quant specialist

January 17, 2022

About the role

Oxford Risk has been growing rapidly over the last few years and we are looking to expand our behavioural research team in 2022. We are looking for exceptional individuals interested in applied behavioural science, and strong expertise in one or more of:

  • Behavioural finance, behavioural economics, and/or applied decision science
  • Data science, analysis, modelling, and statistical skills
  • Quantitative finance theory, risk, financial services, and wealth management
  • Product and consumer interface design, and behavioural UX/UI

These skills will be used to help us develop behavioural tools to guide people towards better financial decisions, with particular focus on financial wellbeing and sustainable investing.


With the rest of the behavioural research team, you'll work closely with the head of product and the development team, to make sure we build the right things in the right way. You'll also work closely with the sales team and marketing team to explain our products to prospects and customers, and ensure we design solutions to meet our clients’ needs.

We do not expect applicants to have equally strong expertise in all these areas, but they will all be covered across the team, and we are looking for individuals who are interested in using a broad range of skills to deliver practical solutions. You will have a post-graduate degree, but this could be in behavioural science, data science, finance/economics, or any related subject.

You are more fox than hedgehog.

What we're looking for

Required skills and experience  

  • Curiosity and interest in applied decision science, and in designing practical tools to assist decision making
  • Strong quantitative, modelling, analysis, and statistical skills; good knowledge of statistical and programming packages (Python, R, or similar)
  • Ability to effectively communicate complex ideas to a wide range of audiences
  • Highly organised, thorough, details-oriented, and able to document and track data with clarity
  • Proactive, collaborative, and able to operate independently

Good-to-have skills and experience  

  • Familiarity with behavioural economics and/or decision science
  • Familiarity with finance theory, risk measurement, and portfolio theory
  • Experience with psychometrics, survey design, and data visualisation
  • Knowledge of financial advice, investment suitability, sustainable finance/investing, or financial wellbeing
  • Experience with consulting, and client and project management
  • Expertise in machine learning and data engineering

About Oxford Risk

Oxford Risk has a vision for improving financial wellbeing and helping people make the best decisions to support their life choices. We understand financial decisions are complex and daunting, and we all have anxieties and biases that can get in the way of good outcomes. We’re here to fix that.

We are a small, innovative team with big ambitions. We combine data research, behavioural science, and quantitative finance expertise to develop user-friendly products that support holistic financial decision-making — spanning investment, savings and borrowing. Our technology empowers financial service providers, from fintechs to banks, provide hyper-personalised advice to their clients, for today and fora lifetime of financial decisions.

Why join us now?

Having tripled in size since 2018, the last year has seen us move a gear. We’re building our team to expand into new markets, enhance our product offering, and develop new products, including an increasing focus on sustainable investing. There are exciting opportunities to explore the potential for machine learning, and the use of behavioural nudging to improve customers’ ability to stick to their plans and reach their financial goals.

What you can expect from us

  • Collaborative, flat culture – your work matters
  • Fast-paced learning environment
  • Diverse, curious, and smart colleagues from more than 10 countries
  • Flexible, hybrid working with monthly get-togethers

What makes you fit in well with us

  • Curiosity, creativity, and willingness to learn
  • Integrity and a desire to do things right
  • Being confident, proactive, and hands on
  • Ambition and drive
  • A good sense of humour

How to apply

If you are interested in applying for this position, please send a CV and cover letter to Make sure you include "oxr2022" in the subject, otherwise you might not get through to us.