Analyst, Quantitative

Standard Bank Group; Johannesburg; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A leading financial services group is seeking a Credit Risk Analyst to validate Credit Risk models and manage Model Risk. The ideal candidate will have relevant qualifications, experience in statistical modeling, and proficiency in Python or SAS. This role offers the opportunity to work within a dynamic team dedicated to risk management and regulatory compliance.

Qualifications

• 1-2 years experience as a Quantitative Analyst in a relevant function.
• Experience with statistical modelling and validation.
• Familiarity with tools such as Python or SAS is essential.

Responsibilities

• Perform validations of Credit Risk models for banking portfolios.
• Manage Model Risk for the identified models.
• Assess models against regulations and internal policies.

Skills

Statistical Analysis

Data Analysis

Programming in Python

Programming in SAS

Education

3-year degree in Statistics, Mathematics, Data Science or Actuarial Science

Honours Degree in Statistics, Mathematics, Data Science or Actuarial Science

Masters Degree in Statistics, Mathematics, Data Science or Actuarial Science

Job description

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description

Perform initial and ongoing validations of Credit Risk models for the Personal and Business Banking portfolios. Think critically and manage Model Risk for the aforementioned models.

• The model types include Basel capital parameter models such as Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models. Other model types include but are not limited to Application and Behaviour Scorecards, Impairment models, Stress Testing models and Pricing models.
• Assess models against regulations and internal bank policies.
• Work with large datasets and different coding environments.
• Review and use cutting-edge development techniques.

Qualifications

• 3-year degree in Statistics; Mathematics; Data Science or Actuarial Science.
• Honours Degree in Statistics; Mathematics; Data Science or Actuarial Science.
• Preferred: Masters Degree in Statistics; Mathematics; Data Science or Actuarial Science.

Experience Required:

• 1-2 years’ experience as a Quantitative Analyst in a Risk Management, Model Development or Model Validation function.
• 1-2 years development/validation experience in statistical modelling.
• 1-2 years' experience with using tools such as Python or SAS

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information
• Exploring Possibilities
• Interacting with People
• Interpreting Data
• Producing Output
• Providing Insights
• Taking Action
• Team Working

Technical Competencies:

• Data Analysis
• Data Integrity
• Documenting
• Knowledge Classification
• Statistical & Mathematical Analysis