Senior Quantitative Analyst - Sandton
R
600k -900k
per annum
Sandton, Gauteng
Sandton,
Gauteng
more than 14 days ago
10-04-2018 9:30:25 AM
14-05-2018 11:26:17 AM
Senior Quantitative Analyst (EKE 172)
Salary: R600k to R900k
Location: Sandton
Preference will be given to EE Candidates
Educational Requirements:
• Commerce / Engineering / Science / Maths / Economics / Stats degree with solid results.
? Other degrees may be considered on a case by case basis.
? Honours degree or higher beneficial, but not required.
? Professional qualifications (e.g. CFA, CA, Actuary) beneficial, but not required
• Solid matric, especially maths and science (A or B preferred).
Experience Requirements:
• 5 years in banking industry preferred including at least three of the following
Credit policy specification
? Scorecard development (application, behavioural or collections)
? Portfolio modelling and reporting
? Impairments modelling and reporting
? Credit risk analytics
? Collections strategy
? Presenting findings to senior business stakeholders
Skills:
• Analytics:
? Strong numeracy
? Strong analytical / problem solving ability
? Track record in working with large and complex data sets (SAS, Matlab, SQL, Excel, etc.)
• Communication:
? Track record in documenting and presenting work; strong presentation skills
? Articulate communicator
• Leadership:
? Willing to manage, mentor & influence others (experience here valuable, but not usually required)
• Market Knowledge:
? Good understanding of the banking market, financial services, risk, profit & loss
Key Duties and Responsibilities (Broad):
• Analyse and interpret quantitative and qualitative data.
• Interpret verbal problem statements and through analytical insight provide implementable solutions using expertise with data management tools and statistical analysis.
• Build and formally present reports by monitoring business performance within the set risk appetite and through analysis.
• Build and refine financial models using software tools
• Report to, monitor and advise operational areas to manage trends through analysis for ad-hoc requirements.
• Increase efficiencies through programming and automating processes.
• Presentation of finding to senior stakeholders and Credit Committees