Risk Decision Strategist

• Being open and honest.
• Keeping focused.
• Operating with Courage.
• Pioneering the future.

• Undertake deep dive analysis into merchant behaviour to identify patterns, trends, and root causes.
• Make clear recommendations on how to capitalise on opportunities, feeding into and driving the business strategy with insights.
• Apply structured problem solving with the ability to logically break ambiguous problems into constituent parts.
• Analyse the success of risk strategies using advanced approaches such as statistical hypothesis testing, causal inference, A/B testing, and uplift testing.
• Create self-serve data products and dashboards about the merchant risk programme while ensuring data reliability and accuracy.
• Contribute to the merchant risk analytics space by helping to define the right data to be collected, collaborating with the data engineering & modelling team to ensure data pipelines & models are working smoothly, and assisting in creating documentation.
• Communicate effectively to a mixture of technical and non-technical stakeholders of varying seniority. Tell a story with the data and ensure key points and recommendations are understood.
• Depending on your skillset, either incorporate machine learning techniques (e.g. predictive loss modelling) into your work analysing risk performance or collaborate with Data Scientists to achieve the same.

• 3+ years of experience in data analytics or machine learning, preferably in fintech or risk systems. experience in a similar data analytics role.
• Degree educated in a Data Science/Mathematics/Engineering or similar quantitative related degree.
• Good statistical knowledge e.g. causal inference, hypothesis testing, statistical significance.
• Advanced SQL & Python skills, experienced user of BI and visualisation tools e.g. Power BI or similar.
• Able to deconstruct and solve problems, to investigate drivers and figure out why things happen, and being able to “tell the story” when interpreting and presenting actionable data insights.
• Excellent eye for detail and ability to ensure accurate and objective analysis is undertaken.
• Have a “Can do” attitude, team player, eager to learn, contribute and share knowledge.
• Knowledge of payments, e-commerce, and gambling markets desirable with understanding of customer and merchant needs in these segments.
• Experience working with Snowflake and/or AWS Sagemaker.
• Model Implementation and Optimisation.

• Take advantage of the opportunity to work abroad for up to 2 weeks in the year from any location (subject to business approval).
• Flexible work - we support working from home combined with office collaboration days.
• Multiple career progression opportunities in a dynamic in-house business.
• Enjoy our discounts on fitness memberships.
• Give back to the community with 4 paid charity days per year through our Paysafe Giving initiative on the Benevity platform.
• Earn Paysafe holiday days for continuous service.
• Our Employee Network groups are employee-led equality communities and help foster a workplace that celebrates diversity and create opportunities to collaborate and learn.
• Balanced workforce (47% female, 53% male)

• Phone screen with Talent Acquisition
• Video interview with the Hiring Manager.
• In-person interview at our office location.

Paysafe