Data Scientist (FinCrime and Customer Identity)
Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.
We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We employ more than 3,000 people across our London, Southampton, Cardiff, and Manchester offices.
Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do.
Hybrid Working
We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person.
Our Data Environment
Our Data teams are aligned to divisions covering Banking Services & Products, Customer Identity & Financial Crime, and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and our customers.
Responsibilities:
* You will be part of a team delivering data-driven solutions and insights to improve the speed, efficiency, and quality of decision-making.
* Work proactively with technical and non-technical teams to deliver insights to support the wider business.
* Build, test and deploy machine learning models which will improve and/or automate decision-making.
* Provide insightful analytics across the bank to assist with decision-making.
* Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling.
Requirements:
We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We think the ideal candidate will encompass most of the following:
* Demonstrable industry experience in Data Science/Machine Learning in one or more of:
o Financial Crime
o Anti-money laundering
o Transaction monitoring
o Anomaly detection
* Excellent skills in Python and SQL.
* Experience with libraries such as Scikit-learn, Tensorflow, Pytorch.
* Strong data wrangling skills for merging, cleaning, and sampling data.
* Strong data visualization and communication skills are essential.
* Understanding of the software development life cycle and experience using version control tools such as git.
* Demonstrable experience deploying machine learning solutions in a production environment.
Desirables:
* Experience with AWS/GCP.
* Desire to build explainable ML models (using techniques such as SHAP).
Interview process:
Interviewing is a two-way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:
* Stage 1 - 30 mins with one of the team.
* Stage 2 - Take home challenge.
* Stage 3 - 90 mins technical interview with two team members.
* Stage 4 - 45 min final with an executive and a member of the people team.
Benefits:
* 25 days holiday (plus take your public holiday allowance whenever works best for you).
* An extra day's holiday for your birthday.
* Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off.
* 16 hours paid volunteering time a year.
* Salary sacrifice, company enhanced pension scheme.
* Life insurance at 4x your salary & group income protection.
* Private Medical Insurance with VitalityHealth including mental health support and cancer care.
* Generous family-friendly policies.
* Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks.
* Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships, and Electric Vehicle (EV) leasing.
About Us:
Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
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