Data Scientist - Johannesburg at FNB South Africa

Job Description

• To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.

Your responsibilities will include, but are not limited to:

•  To undertake predictive modelling and the design of data products within FNB commercial/SFS analytics which either drive innovation or add value by a) reducing risk b) increasing sales/cross-selling/revenue/profits c) improve efficiency d) retaining existing customers or e) a combination of the above. Examples include clustering/hyper segmentation, propensity modelling, attrition modelling, data-driven insights that include channel behavior, preferred payment mechanism, attrition unpacking, ideal customer behavior, etc.
•  Be heavily involved in the design of solutions for problems faced by stakeholders in FNB commercial/SFS, i.e. performing initial investigations into the problem and proposing a solution, building a business case for potential solutions, be heavily involved in POCs including A/B testing, etc. Also work closely with stakeholders to ensure the correct solution is designed and implemented.
•  Assist with ad-hoc queries for stakeholders regarding existing solutions, newly implemented solutions or completely new solutions.
•  Drive implementation of solutions on platform/production environments.
•  Build/ guide other team members to build PowerBI reports that display valuable insights and trends.
•  Managing relationships with senior stakeholders.
•  Participate in code and peer reviews.​

You will be working on many types of products including:

• Commercial Overdrafts
• Invoice Discounting
• Leverage Finance
• Guarantees
• Letters of Credit

Requirements

• 3-5 Years experience in a Data Science Role
• Good understanding of Financial Services: Credit products and credit scoring

Qualification

• Post Graduate Degree in Mathematics / Statistics / Business Mathematics and Informatics