Graduate Data Scientist

Graduate Data Scientist II- Fraud

About the business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below,

About our Team: You will be part of a team of data scientists and analysts using global data from our suite of leading fraud solutions, including LexisNexis Risk Solutions ThreatMetrix, Behaviosec and Emailage to craft and optimise solutions for our enterprise customers.

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 behaviors

· 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 to deliver 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 prioritization 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 banking/payments domain

· Proficiency in Python and SQL (BI tools such as Super Set, Tableau or Power BI is a bonus)

· Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in ML Ops principles to build scalable and standardized 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 prioritization skills. Needs to excel in fast paced environment with frequently changing priorities

· Demonstrate fluency in English. Any other languages spoken across APAC are a bonus, particularly Japanese.

Benefits:

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

· Generous Optical Assistance policy

· Life & salary insurance

· Electric Vehicle NOVATED Lease Scheme

· 14 weeks maternity/paternity leave

· Wellbeing programs

· Employee Assistance Program

· 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 Learn more about the LexisNexis Risk team and how we work here

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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