Data Scientist

Rmb Nigeria Limited; Johannesburg; On-site; ZAR 450,000 - 650,000; Full time

Job summary

A leading financial services company in South Africa is seeking a Data Analyst to join their Retail Data and Analytics Office. This role involves developing predictive analytics and optimizing customer engagement processes. The ideal candidate will have a Bachelor's degree, with strong SQL and SAS skills, and 3-5 years of relevant experience.

Qualifications

• Minimum of 3 years in Data Analytics or CVM Analytics.
• Experience in model development and data governance.
• Strong coding skills in key analytical tools.

Responsibilities

• Plan and build quantitative analytical methodologies.
• Optimize processes and enhance customer experience.
• Interpret insights and support business strategy.

Skills

SQL

SAS

SAS Viya

Python

Big Data

Data Automation

Stakeholder Engagement

Education

Bachelor's Degree in Mathematical Sciences

Honours Degree

Job description

Time left to apply : End Date : July 5, (5 days left to apply) Job requisition id : R

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.

Role Purpose

This role is within the FNB Retail Data and Analytics Office.

We support the business through the development of predictive analytics to understand customer behavior, ensuring business value through the optimisation of processes, campaigns, and data utilization to enhance customer experience.

Are you someone who :

• Has experience with disparate data and identifying unique data patterns for deep analysis and feature creation.
• Understands how to work with big data and transform data for analytical insights.
• Has strong technical skills with proficiency in SQL, SAS, or SAS Viya.
• Is a hardworking individual who can work well under pressure.
• Able to translate business requirements into tangible, creative solutions.
• Proven experience in data automation is beneficial.
• Prior project lead experience within the data domain is advantageous.
• Participation in data governance forums and presentation of data insights at Exco and Manco is beneficial.

We can be a match if you are :

• Curious & courageous – driven by a desire to learn and take action.
• Obsessed with mastery – constantly pushing to improve skills.
• A team player – believing in the power of teamwork and networks.
• Emotionally intelligent – able to connect and build trust with people.

Qualifications and Experience

• Minimum Qualification : Bachelor's Degree in Mathematical Sciences, Statistics, Actuarial Science, or Engineering.
• Preferred Qualification : Honours Degree.
• Experience : 3 to 5 years in Data Analytics or CVM Analytics.
• Experience in model development, maintenance, or optimisation is advantageous.
• Strong coding skills in SQL, SAS, SAS Viya, or Python.
• Ability to work with Big Data.
• Stakeholder engagement experience is essential.

Job Details

Applications close on 05 / 07 / .

Please submit your application before this date.

All appointments will align with FirstRand Group's Employment Equity plan.

The Bank supports the recruitment and advancement of individuals with disabilities.

Candidates may disclose disability information voluntarily; this will be kept confidential unless required by law.

Introduce Yourself

Introduce yourself to our recruiters, and we will contact you if there's a suitable role.

For queries, please log via MyQ.

About Us

FirstRand provides a comprehensive range of financial services across South Africa and broader Africa, listed on the JSE and NSX.

Our portfolio includes FNB, RMB, WesBank, Ashburton Investments, Aldermore, MotoNovo, and DirectAxis, among others.

We focus on organic growth, acquisitions, innovation, and creating new businesses to deliver superior shareholder returns.

Our purpose is delivering Shared Prosperity, with initiatives supporting social and environmental challenges and employee volunteering programs.