Job Description
We are looking for a professional Application Scoring Specialist with deep know-how in characteristic engineering, scorecard development, and reject inference methodologies. The perfect candidate will have a sturdy tune report in constructing and deploying utility scorecards throughout a variety of industries, now not constrained to banking. This position requires a strategic thinker who can innovate in data-scarce environments, specially inside the SME space, and who can correctly speak with senior stakeholders whilst mentoring junior crew members.
Design, develop, and peer evaluate software scorecards, together with reject inference techniques.
Lead characteristic engineering initiatives to decorate mannequin overall performance and commercial enterprise relevance.
Collaborate with commercial enterprise stakeholders to align scorecard techniques with industrial objectives.
Apply scoring fashions throughout various industries, bringing cross-sector insights to credit score decisioning.
Innovate and construct predictive options in low-data environments, specially for SME lending.
Provide thinking management on mannequin governance and enterprise great practices.
Mentor and upskill junior analysts and records scientists thru structured gaining knowledge of and hands-on guidance.
Present technical ideas and strategic tips to executive-level stakeholders.
Continuously consider and enhance scoring methodologies the usage of contemporary information science techniques.
Manage a couple of tasks simultaneously.
Be a chief in the improvement of PD fashions throughout the broader team, presenting insights in first-rate exercise for Behavioral mannequin developments.
Required Experience
Minimum eight years of hands-on journey in utility scoring and savings chance modeling, with a couple of done models.
Proven understanding in scorecard development, which include reject inference and mannequin validation.
Strong talent in function engineering and records preprocessing techniques.
Experience working throughout a couple of industries is a bonus (e.g., retail, telecoms, fintech, insurance).
Ability to work with restrained or imperfect facts and nevertheless supply robust, actionable models.
Excellent conversation capabilities with the capability to interact and have an impact on senior enterprise leaders.
Demonstrated potential to mentor, teach, and examine junior crew members, however at the identical time pressure and encourage the use of scoring to extra govt stakeholders.
Proficiency in equipment such as SAS and paragon modeler;
Experience with mannequin deployment.
Preferred Attributes
Experience in SME lending or choice deposit scoring.
Familiar with enterprise satisfactory exercise in utility scoring.
Exposure to computer gaining knowledge of methods in scoring contexts.
Experience in producing new facets to be used in mannequin development.
Comfortable working in agile, cross-functional teams.
Qualifications
Bsc/BCom Maths/Statistics/Mathematical Statistics/ BEng
SAS is a prerequisite
Paragon modeler journey would be advantageous
Why Join Us?
Work on high-impact tasks that structure the future SME lending panorama and deposit decisioning throughout industries.

Be section of a collaborative, innovative, and growth-oriented statistics science team.

Opportunity to lead and have an effect on the future of scoring in rising markets and SME sectors.

Post

FNB

LI-AR4

Job Details
Take notice that purposes will now not be established on the beneath date and onwards, kindly publish functions in advance of the closing date indicated below.

01/10/25
All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank helps the recruitment and development of persons with disabilities. In order for us to fulfill this purpose, candidates can divulge their incapacity facts on a voluntary basis. The Bank will preserve this statistics private except we are required by means of regulation to reveal this records to different parties.

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