Data Scientist

Job Description The SFS analytics team supports the various products within SFS/FNB commercial with the aim to improve sales and processes and doing so with risk management in mind. The successful candidate will run with the more technical projects, that require not only technical expertise, but also someone that takes initiative, that is creative in their thinking and solution design and also has a broad understanding of the business in order to identify opportunities and exploit inefficiencies. The wider Analytics team is a young energetic team with a can-do attitude and willingness to help each other succeed. This is a bunch of warm hearted and hardworking individuals with a sense of community. You will be working on many types of products including:

• Commercial Overdrafts
• Invoice discounting
• Leverage finance
• Guarantees
• Letters of Credit

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.

Experience

• 1-3 years experience in a similar role
• Experience with the credit life cycle

Qualification

• Relevant Degree (Mathematics / Actuarial Sciences / Data Science / Engineering)

Job Details Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below. 22/03/25 All appointments will be made in line with FirstRand Groups Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

Information :

• Company : FirstRand
• Position : Data Scientist
• Location : Randburg, Gauteng
• Country : ZA