Data Scientist- II

firstrand; Johannesburg; On-site; ZAR 400,000 - 800,000; Full time

Job summary

An established industry player is seeking a quantitative analyst to innovate and implement advanced analytical methodologies. This role involves identifying fraud by analyzing large data volumes, designing fraud detection models, and collaborating with stakeholders to enhance fraud prevention strategies. The ideal candidate will possess a strong educational background in data science or statistics, coupled with excellent problem-solving and communication skills. Join a forward-thinking organization that values diversity and is committed to making a positive impact in the financial sector.

Qualifications

• Degree in a relevant field such as Data Science or Statistics.
• Proven experience in fraud detection and statistical modeling.

Responsibilities

• Identify and analyze fraud patterns across various card transactions.
• Design and manage fraud detection models and produce analytical reports.

Skills

Data Analysis

Statistical Modeling

Problem-Solving

Critical Thinking

Communication Skills

Team Collaboration

Education

Degree in Data Science

Degree in Computer Science

Degree in Statistics

Tools

SAS

R

Python

Job description

Job Requisition ID: R28520

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.

• Identify fraud by analysing large volumes of data spanning retail, commercial and fleet cards.
• Recognize patterns of fraud and suggest new methods of detection, mitigation and prevention through engagement with stakeholders.
• Assist with the implementation of fraud processes and detection solutions.
• Oversee the design, development, and management of fraud models and rulesets to combat developing MOs.
• Produce reports to present relevant data to senior managers and stakeholders.
• Ad hoc analysis to address business needs.

Requirements:

• Degree in a relevant field (e.g. Data Science, Computer Science, Statistics).
• Advantageous: Proven experience in fraud detection, mitigation, and prevention.
• Proficiency in data analysis and statistical modeling.
• Advantageous: Binary classification modelling experience.
• Excellent problem-solving and critical-thinking skills.
• Effective communication and presentation abilities.
• Ability to work collaboratively in a team environment.
• Strong knowledge of programming languages for data science and analytics (e.g. SAS, R, Python).
• Advantageous: SAS

Job Details

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

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.