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Capitec Bank is a South African commercial bank. As of February 2017 the bank was the third largest in South Africa with 120,000 customer opening new accounts per month. To simplify banking, we’ve developed an all-inclusive banking solution. Global One is the one solution that enables you to transact, save and access credit in realtime. We also believe...
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
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