Data Scientist II
FirstRand Bank India Johannesburg, Gauteng, South Africa
Banking · 51-200 employees
About the role
Develop, implement, and govern advanced quantitative models for financial crime risk analytics, including AML/CFT and transaction monitoring. Collaborate with cross-functional teams to translate technical solutions into actionable business insights while maintaining model standards.
What they look for
Requirements
Requires an Honours degree in a quantitative field such as Mathematics, Statistics, or Computer Science. Candidates must have at least 2 years of experience in analytical model development and proficiency in SAS, SQL, and Python.
Benefits
Full description
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.Hello Future Data Scientist II
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, 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.
Are you someone who can:
- Deliver on model development, implementation, and governance for financial crime risk analytics (AML/CFT, transaction monitoring, sanctions screening).
- Proactively identify analytical opportunities and solve unstructured problems with minimal guidance.
- Translate technical solutions into actionable insights for non-technical stakeholders.
- Deliver clear and comprehensive technical documentation for models and processes.
- Collaborate with business, risk, and technology teams across the FirstRand group to drive model effectiveness and compliance.
- Support junior Data Scientists in developing both technical and business skills.
- Apply SAS, SQL, and Python scripting for data manipulation, modelling, and automation.
- Uphold model and rule governance standards and participate in periodic monitoring and reviews.
- Demonstrate initiative and a solution-oriented mindset in high-stakes, regulated environments.
You will be an ideal candidate if you:
- Hold an Honours Degree in Mathematics, Statistics, Computer Science, Actuarial Science, Engineering, Physics, or a related field.
- Have 2+ years of hands-on experience in developing and implementing analytical models, preferably in financial services.
- Possess strong scripting skills in SAS, SQL, and Python.
- Have experience in collaborating across multiple teams.
- Experience in financial crime, fraud detection, or AML/CFT is a strong advantage.
You will have access to:
- Opportunities to network and collaborate.
- Challenging Work.
- Opportunities to innovate.
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.
- Adaptable, curious and willing to learn.
- Passionate in providing insights.
- Thrive in a collaborative environment.
Are you interested to take the step? We look forward to engaging with you further. Apply now!
#post
#FNB
#LI-CD1
Important Closing Date Note
Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.
19/09/26
All 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.
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