Our Client Currently looking for Risk Decision Data Strategist

The impact you will have: 

• 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.

What we’re looking for: 

• 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.

• Are you interested in this position?

   

  Apply by clicking on the “Apply Now” button below!

   

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