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About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. You’ll leverage a real-time platform analysing billions of transactions per month for some of the largest companies operating in Financial Services, Insurance, e-Commerce, and On-Demand Services. These tools will allow you to attain a unique perspective of the Internet, and every persona connected to it. On top of driving innovation projects, you’ll be continually collaborating with internal product and engineering teams, customer-facing account teams, and external business leaders and risk managers. The comprehensive models you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue.
Responsibilities:
Scoping, developing, and implementing machine learning or rule-based models following best practice, to banking model governance standards
Using your strong knowledge of SQL and Python plus quantitative skills to define features that capture evolving fraudster behaviours
Develop internal tools to streamline the model training pipeline and analytics workflows
Applying your curiosity and problem-solving skills to transform uncertainty into value-add opportunities
Using your strong attention to detail and ability to craft a story through data, delivering industry-leading presentations for external and executive audiences
Building an extensive knowledge of cybercrime – account takeover, scams, social engineering, Card Not Present (CNP) fraud, money laundering and mule fraud etc
Employing your multi-tasking and prioritisation skills to excel in a fast-paced environment with frequently changing priorities
Requirements:
Experience in a data science role, ideally within the fraud, risk, or payments domain
Proficiency in Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus)
Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systems
Proven ability to create polished presentations and effectively communicate insights to customers with attention to detail
Have extensive multi-tasking and prioritisation skills. Needs to excel in fast paced environment with frequently changing priorities
Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
Generous holiday allowance with the option to buy additional days
Health screening, eye care vouchers and private medical benefits
Wellbeing programs
Life Assurance
Access to a competitive contributory pension scheme
Save As You Earn share option scheme
Travel Season ticket loan
Electric Vehicle Scheme
Optional Dental Insurance
Maternity, paternity and shared parental leave
Employee Assistance Programme
Access to emergency care for both the elderly and children
RECARES days, giving you time to support the charities and causes that matter to you
Access to employee resource groups with dedicated time to volunteer
Access to extensive learning and development resources
Access to employee discounts scheme via Perks at Work