Data Scientist I
1 week ago
Job Description
To build, optimise and implement innovative quantitative analytical methodologies, procedures, and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, under guidance against predicted results and deliver according to set processes and procedures.
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.
Are you someone who can:
Use SAS to analyse large datasets, identify trends and extract insights-
- 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)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
Post
FNB
LI-GJ1
Job Details
23/07/25
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