Senior Decision Scientist at Capitec Bank

Purpose Statement

We are looking for motivated professionals to join our team of passionate, driven, supportive, industry-leading experts as a Senior Decision Scientist. This multifaceted role offers opportunities to influence business through data-driven decisions, combining technical expertise and quantitative modelling knowledge with enthusiastic stakeholder engagement. Capitec offers a dynamic and exciting work environment, encapsulated by a culture of teamwork and respect, managed by leaders that encourage professional development.

Decision Science is innovative and challenges traditional modelling approaches. As a Senior Decision Scientist, you’ll be responsible for the entire analytics lifecycle for retail credit modelling. Working in a collaborative environment, you will be part of the end-to-end model lifecycle that enables senior management to make informed data-driven decisions. The role drives agile business solutions through technical and predictive modelling. You’ll work alongside diverse professionals and engage with stakeholders and businesses.

Experience

● A strong background in analytics, predictive modelling and machine learning, project management methodologies, IT implementation cycle and the credit cycle
● Adept in understanding different operating systems, databases and programming languages
● A general business acumen combined with inventive thinking to identify how technical issues may impact solutions’ design and delivery
● Experienced in best practices and tools in credit risk
● Able to succinctly interpret user requirements and translate business requirements specifications
● Understand the retail credit industry, confidentiality and intellectual property implications and constraints
● Have an eye for detail and be skilled in numeracy, reasoning, analysis, reporting and commercial thinking
● Proficient in computer literacy (MS Word, MS Excel, MS Outlook), SAS, SQL, R and Python
● Reflect our commitment to respecting others and communicate effectively, manage interpersonal relationships and display leadership qualities
 

Qualifications (Minimum)

• Honours Degree in Data Science or Mathematics

Qualifications (Ideal or Preferred)

• Masters Degree in Data Science or Mathematics

Knowledge

● Experience in retail credit risk management must include extracting and aggregating data from large relational databases, data mining and predictive modelling

 

Skills

• SAS Skills

• SQL Skills

• R skills

• Python skills

Conditions of Employment

• Clear criminal and credit record