Data Scientist I
6 Merchant Place, 9 Fredman Drive, Sandton, Johannesburg, 2196, South Africa
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FirstRand Corporate Centre
Hello Future Data Scientist I
Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.
As part of our talent team at FirstRand Life Assurance, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now’s the time to imagine your potential in a team where experts come together and ignite effective change.
This specialist role allows a colleague to collaborate with special investigative units and to work with a multi-disciplinary team in both business and Fraud Strategy. The role will allow a colleague to Implement monitoring approaches to combat ever changing fraud modus operandi in the insurance landscape whilst driving innovation in the development of new monitoring techniques in the fight against fraud.
This specialist role will focus on tactical anti-fraud analytics which will aim to minimize fraud losses from known modus operandi whilst continuously applying analytics-based analysis to identify emerging patters and modus that may expose the business to fraud risk.
Are you someone who can:
Use SAS to analyse large datasets, identify trends and extract insights
Apply statistical methods to solve business problems
Clean, transform and prepare data for accurate analysis and reporting
Collaborate with teams to support data-driven decision making and strategies
Ensure that all processes executed or distributed daily/weekly/monthly are documented, up to date, and accessible by all peers
Produce ad-hoc analysis reports on specific fraud-related issues
Create new reports that will assist with Fraud analytics strategic goals
Ensure that all reports are updated and sent to stakeholders timeously
Code and execute ongoing tactical anti-fraud analytics to drive identification of known fraudulent modus operandi for case referral to business investigative teams
Code and explore ongoing data utilizing anti-fraud methods to identify emerging or new patterns of potential fraudulent modus operandi
Collaborate with business investigative teams to absorb emerging modus operandi from cases investigated into tactical analytic approaches
Collaborate with key stakeholders to input lessons learned into rules and models housed within strategic fraud models
Explore additional intelligence sources to bolster the identification of fraud within analytics
Use optimal coding methodologies to ensure speed of execution in querying large data sets (across data sets)
You will be an ideal candidate if you:
Have a degree in Mathematics, Statistics, Actuarial Science or similar
Have 1+ year of experience in Data Science
Have hands on knowledge and experience in SAS
You will have access to:
Opportunities to network and collaborate
Challenging Working
Opportunities to innovate
Working together with cross-functional teams
Liaising regularly with relevant stakeholders
Liaising with operational areas
Timely escalation of potential issues to relevant stakeholders
We can be a match if you are:
Curious & courageous - you're driven by always wanting to know more and learn more and you're brave enough to
Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it
Are you interested to take the step? We look forward to engaging with you further. Apply now!
#Post
#FNB
#LI-GJ1
Job DetailsTake note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.
23/07/25All appointments will be made in line with FirstRand Group’s 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Fraud risk Mathematics SAS Statistics
Perks/benefits: Insurance
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