Data Scientist Ii

4 days ago

Randburg, South Africa FirstRand Full time

Job Description

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.

We are currently in search of a Data Scientist to plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategy.

Are you someone who wants to:

- Leverage data science tools and techniques to optimize collections processes, identify risk patterns, and support data-driven decision-making to improve customer experience, maximise recoveries, and minimise losses in early-stage collections.

Key Responsibilities
- a. Analytics and Model Development
- Develop and implement predictive models and analytics to identify customers at risk of arrears and optimise collections strategies.
- Test, validate, and challenge current models to ensure accuracy and relevance of outputs.
- Conduct data manipulation and analysis to proactively identify business needs and opportunities.
- Translate technical data insights into practical solutions addressing collections optimisation
- b. Data Handling and Governance
- Conduct data wrangling to identify and address imperfections in data quality.
- Ensure adherence to data privacy legislation, policies, and governance requirements.
- Report and escalate information privacy incidents, ensuring compliance with audit findings and privacy standards.
- Document, audit, and validate models and data processes.
- c. Reporting and Visualisations
- Create and present clear, actionable reports and visualisations to technical and non-technical stakeholders.
- Use data insights to monitor and enhance customer experience while identifying monetization opportunities.
- Develop performance metrics and dashboards to track key indicators in collections strategies.
- d. Business Collaboration
- Collaborate with cross-functional teams to ensure analytics align with business objectives.
- Work with stakeholders to define data requirements, create delivery plans, and track the implementation of strategies.
- e. Innovation and Continuous Improvement
- Recommend optimisation areas to improve cost savings, revenue generation, or operational efficiency.
- Participate in analytics-related projects to support collections goals and organisational objectives.
- Review and mentor junior team members to enhance the analytics function.
- Minimum Qualification:

- Bsc Degree in Actuarial, Quantitative Risk, Maths Stats
- Bachelor of Science with Honours Mathematics
- Experience:

- 3+ years’ experience
- Coding in SAS, SQL
- Proficient in Microsoft Tools (PowerBi, Excel, PowerPoint)
- Python, PySpark or R would be advantageous

Behavioral Competencies
- Strong problem-solving skills to customise solutions for collections challenges.
- Ability to balance technical rigor with business practicality, tailoring outputs to collections-specific needs.
- Proven ability to collaborate across teams and communicate effectively with technical and non-technical audiences.
- Commitment to fostering a collaborative, knowledge-sharing culture.

You will have access to:

- Opportunities to network and collaborate.
- Challenging work environment.
- 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.
- 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-NH1

Job Details

04/12/24

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