London
About Salary Finance
Working with employers, we provide a financial wellbeing platform as an employee benefit, helping employees to understand their money better, get out of debt faster and save for their future. We already have a reach of over 4,000,000 employees through our relationships with over 600 of the biggest companies in the UK.
By improving employee financial wellbeing, we have a very real and meaningful impact on people’s lives. We remove the stress and worry associated with financial difficulties by dramatically reducing the interest rates employees pay on their personal debt, and provide them with the tools needed to start saving sooner and be more financially secure. We are backed by some of the biggest brands, including investments from Blenheim Chalcot, Legal and General, Experian, Goldman Sachs, JP Morgan and Virgin Money.
Launched in 2015, we have made excellent progress, and are scaling fast. We are named BITC’s Responsible Business of Year 2018, included in KPMG’s Global Fintech 100, listed top of the Forbes' list of socially‑responsible startups, and profiled by the Financial Times, the Times, the Wall Street Journal, the Guardian, the Telegraph, CityAM and the Institute of Directors.
Your role in our mission
We are looking for an exceptional Decision Systems Engineer, specialising in R.
Sitting in the Data Science team and reporting to the Senior Decision Systems Engineer, you will be responsible for the end‑to‑end development lifecycle of our Decision Engine across our various products and platforms to ensure that strategy changes are deployed in a timely manner and with a high quality of output.
You’ll be working closely with the Engineering and Credit Risk teams and heavily involved in managing our data and model pipelines as well as designing and enforcing automated testing frameworks.
This role is open to candidates at the Junior or Mid‑level, with the final level determined by the candidate’s experience and interview performance.
What you’ll do
* Develop, test and deploy strategy and pricing changes in our decisioning systems across different products and channels
* Build and maintain data and automation pipelines to facilitate reporting, analysis and model building
* Work towards code improvements and optimisation, automated testing and the establishment of CI/CD frameworks
* Collaborate closely with Credit Risk and Product teams to understand strategy changes and turn them into code
* Collaborate closely with Engineering and SRE teams to improve and modernise infrastructure, establish best coding/testing practices and improve documentation and governance across the business
About you
* 1‑2 years of experience in an engineering or data role
* Exceptional knowledge of R – this is what our Decision Engine is written in
* Excellent knowledge of SQL – this is how you can access and manipulate our data
* Good understanding of engineering best practices (e.g. version control, unit testing, etc.)
* Basic understanding of bash and deployment automation tools like Docker
* Can‑do attitude and desire to work in a fast‑paced start‑up environment and make a difference
Nice to have
* Experience in financial services and credit decisioning, including building/maintaining decision engine
* Good knowledge of Python
* Good understanding of ML Ops and model pipelines
Who you are
* Fearless, and able to make the impossible possible.
* Responsible, and want to help build a business that delivers a meaningful difference to society.
* Dedicated and want to commit to an exciting journey even through the highs and lows.
* Empathetic and truly care about every colleague and customer.
* United, because you understand we achieve more when we work as a team.
* Humble, and take feedback as a way to continuously improve.
What do you get for all your hard work?
* 25 days holiday with an extra day off on your birthday 🎂
* Office first with up to a day a week working from home 🏢
* Generous company benefits to include pension and life assurance and an annual allowance to spend on medical insurance, health cash plan, denplan, gym memberships 🤸
* Enhanced policies that are family and pet friendly, to include company sick pay and peternity leave 🐶
* Great career development in a fast paced environment 🚀
* Regular company socials (post covid, although we’ve got quite good at virtual ones too!)
* Volunteer days as part of our CSR program 🤝
* More great perks to include weekly snacks, tuckshop, cycle to work, help to save and much more! 🍭
The typical interview process
* Introductory call with our Talent Manager (phone call - 20 mins)
* Past experience interview with Hiring Manager (video call - 30 mins)
* Technical and culture interview with Team and Stakeholder(s) (in person - 90 mins)
We’re looking for people that will get stuck in and make a difference. We have a great collaborative, entrepreneurial team and are passionate about what we do. If you want to join a team that is changing people’s lives for the better then we’d love to hear from you.
Learn more at salaryfinance.com
Salary Finance is proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive work environment where all employees and applicants can flourish.
If there’s anything we can do to accommodate your specific situation, please let us know.
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