Machine Learning Scientist - FinCrime

Yesterday

🔄 Hybrid – Manchester

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Logo of Starling Bank

Starling Bank

Forget everything you know about banking.

FinTech • Mobile Banking • Finance • Banking • Banking as a Service

1001 - 5000

Description

• 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

• Demonstrable industry experience Data Science/Machine Learning in one or more of: • Financial Crime • Anti-money laundering • Transaction monitoring • 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 visualisation 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 • Experience with AWS/GCP • Desire to build explainable ML models (using techniques such as SHAP)

Benefits

• 33 days holiday (including public holidays, which you can take when it 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. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton • Generous family-friendly policies • Incentives refer a friend scheme • 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

Apply Now
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