Data Scientist Ii

Fnb South Africa; Johannesburg; On-site; ZAR 500,000 - 750,000; Full time

Job summary

FNB South Africa seeks a Data Scientist II to support business strategies through advanced analytical methodologies. This role involves collaborating with various stakeholders to enhance customer experience, develop algorithms, and ensure data quality. Ideal candidates will possess a strong analytical background and a relevant degree.

Benefits

Opportunities to network and innovate

Work environment that encourages growth and learning

Qualifications

• Minimum 3 years' experience, with 1-2 years in credit risk analytics.
• Ability to translate business requirements into models.
• Experience in data quality assessment.

Responsibilities

• Plan, build, optimize, and implement analytical methodologies.
• Collaborate with stakeholders to create delivery plans.
• Analyze data to identify new information commercialization opportunities.

Skills

Analytical

Adaptable

Curious

Collaborative

Strategic

Conceptual thinking

Education

B.Sc. Degree in Mathematical, Analytical, Actuarial Science, Engineering, or Computer Science

Honours Degree preferred

Tools

SAS

SQL

Teradata

PowerBI

Python

R

Job description

Join to apply for the Data Scientist II role at FNB South Africa. Welcome to FNB, the home of the #changeables.

We design for shapeshifters and game changers.

As part of our talent team at FNB Loans, you will be surrounded by unique talents, diverse minds, and an adaptable environment that encourages curiosity.

Now's the time to realize your potential in a team where experts come together to ignite effective change.

Job Responsibilities:

1. Plan, build, optimize, and implement innovative quantitative analytical methodologies, procedures, products, and advanced mathematical models to support business strategies and interpret insights.
2. Use data and analytics to improve customer experience, identify monetization opportunities, and monitor the implementation of business decisions.
3. Collaborate with stakeholders to create delivery plans, define metrics, and track performance.
4. Analyze data to identify new information commercialization opportunities.
5. Translate technical data into practical business insights and assist in productionalizing analytics within the approved architecture.
6. Assess data quality and availability to support management decisions.
7. Develop core analytical capabilities and model libraries using advanced statistical techniques.
8. Work across departments to ensure proper data usage and support operational results.
9. Participate in projects addressing analytical needs and opportunities.
10. Serve as SME for analytics, understanding business operations.
11. Identify relevant business questions and select appropriate analytics models.
12. Document processes and ensure quality and relevance of models through updates.
13. Proactively manipulate and analyze data to meet business needs and ensure data quality.
14. Build relationships, manage expectations, and foster knowledge sharing.
15. Identify and escalate potential risks.
16. Translate business requirements into models, develop algorithms, and validate solutions.
17. Assist junior analysts, adhere to policies, and ensure model relevance.
18. Optimize processes for cost savings, revenue, and efficiency.

Qualifications and Experience:

• B.Sc. Degree in Mathematical, Analytical, Actuarial Science, Engineering, or Computer Science. Honours Degree preferred.
• Minimum 3 years' experience, with 1-2 years in credit risk analytics.

Technical Skills:

• SAS, SQL, Teradata, PowerBI; Python and R are advantageous.

Additional Information:

• Opportunities to network, collaborate, and innovate.
• Work environment that encourages growth and learning.

Ideal Candidate Traits:

• Analytical, adaptable, curious, collaborative, strategic, and conceptual thinkers.

If interested, apply now to take the next step.

We look forward to engaging with you! All appointments will align with FirstRand Group's Employment Equity plan.

Candidates with disabilities are encouraged to disclose their disability voluntarily; this information will be kept confidential.

Closing Date: 19 May