Senior Decision Engineer
Role details
Job location
Tech stack
Job description
As a Senior Decision Engineer, you'll be a key member of our IT department's decisioning team. We own and manage the decisioning platform (GDS), where we implement customer flows, policy rules, and scorecards. You will play a crucial role in ensuring we make accurate decisions for all new applications by working closely with various teams across the company.
You should be a highly analytical and detail-oriented individual with the ability to understand and align your work with the broader business strategy. You will be expected to quickly learn new technologies and thrive in a collaborative team environment.
This position is an excellent opportunity to take on significant responsibility, lead key projects, and directly impact the success of our underwriting processes within the fast-paced financial services industry.
What you'll be doing
- Lead the full development lifecycle from design to implementation of our decisioning platforms.
- Architect and maintain underwriting rules, ensuring they are robust, scalable, and aligned with business objectives, regulatory requirements, and industry best practices.
- Design and implement advanced monitoring and alerting systems to ensure the integrity and performance of automated decisioning.
- Collaborate proactively with Data Science, Credit, and Business Operations teams to define requirements and implement complex updates to decisioning logic.
- Serve as a subject matter expert, working with wider IT and Engineering teams to shape data architecture and ensure the availability of reliable data for underwriting.
- Conduct in-depth analysis to identify, troubleshoot, and resolve decisioning anomalies and underlying issues.
- Drive the continuous optimisation of our underwriting and decisioning processes through data-driven insights and strategic initiatives.
Requirements
Do you have experience in SQL?, * 4+ years of experience working with decision engines, within the financial services or FinTech industry (examples include GDS Link, Experian Powercurve and Provenir).
- Strong proficiency in data manipulation and a solid working knowledge of Python is essential. You should also have experience with SQL and a desire to learn other relevant languages like LUA.
- Proven ability to independently solve complex problems and deliver effective, end-to-end solutions.
- A proactive and curious mindset with a track record of identifying opportunities for improvement.
- Excellent communication and stakeholder management skills, with the ability to present complex technical information clearly to both technical and non-technical audiences.
Benefits & conditions
Pulled from the full job description
- Sabbatical
- Company pension
- Private medical insurance
- Cycle to work scheme
- Season ticket loan, We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits: Private Healthcare including dental and opticians services through Vitality ️ Worldwide travel insurance through Vitality Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical) Salary Sacrifice Pension Scheme up to 7% match Octopus EV Salary Sacrifice Scheme ️ 28 days holiday (plus bank holidays) Annual Learning and Wellbeing Budget Enhanced Parental Leave Cycle to Work Scheme Season Ticket Loan 6 free therapy sessions per year Dog Friendly Offices Free drinks and snacks in our offices