Senior Data Scientist – Financial Crime Analytics

Wesbank; Johannesburg; On-site; ZAR 383,000 - 639,000; Full time

Job summary

WesBank in Johannesburg seeks a Data Scientist III to plan, build, and implement advanced analytical models addressing business opportunities and decisions. The role involves engaging with stakeholders to translate complex analytics into actionable insights and ensuring governance and process adherence.

The ideal candidate holds an Honours Degree in a quantitative field and has about 5 years’ data experience, with financial crime/AML exposure considered a plus.

Qualifications

• Honours Degree in Mathematics, Statistics, Computer Science, Actuarial Science, Engineering.
• 5 years’ experience in a data environment including analytical model development and implementation.
• Data and analytics experience within a financial crime, fraud or anti-money laundering environment would be an added advantage.

Responsibilities

• Plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models to provide analytical support and insights.
• Participate in utilisation, refinement and enhancement of statistical models and data analysis to inform decision making.
• Contribute to innovation by finding faster and more accurate ways of working.
• Report on transactional and process activities within set guidelines to provide timely information for decision making.
• Ensure operational excellence through delivery of work processes according to defined quality standards.

Skills

Analytical thinking

Stakeholder management

Clear communication

Education

Honours Degree in Mathematics, Statistics, Computer Science, Actuarial Science, Engineering

Job description

WesBank in Johannesburg seeks a Data Scientist III to plan, build, and implement advanced analytical models addressing business opportunities and decisions. The role involves engaging with stakeholders to translate complex analytics into actionable insights and ensuring governance and process adherence.

The ideal candidate holds an Honours Degree in a quantitative field and has about 5 years’ data experience, with financial crime/AML exposure considered a plus.