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 built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. 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.
The way to thrive and shine within Starling is to be a self-driven individual and take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.
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. We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, the code they write, and the contribution they make to Starling.
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 relevant and useful data points for insights and modeling.
Minimum Qualifications:
* 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, so come with questions and be curious. In general, you can expect the following stages:
* 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 you can take your public holiday allowance whenever works best for you).
* An extra day’s holiday for your birthday.
* Annual leave increases 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 and a wellness platform for physical and mental health.
* 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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