Senior Quantitative Analyst

5 days ago

Johannesburg, Gauteng, South Africa Communicate Recruitment Full time

Senior Quantitative Analyst – Application Scoring

Location:
Johannesburg

Industry:
Banking

Are you a seasoned
Quantitative Analyst
with deep expertise in
credit risk modeling
,
application scoring
, and
feature engineering
? This role offers the opportunity to design and lead cutting-edge scoring initiatives that influence strategic credit decisions across multiple industries — including the fast-growing
SME lending
sector.

About the Role

As a
Senior Application Scoring Specialist
, you'll take ownership of developing, refining, and deploying advanced
scorecards and predictive models
. You'll partner closely with senior stakeholders to align analytics with business strategy, innovate in data-scarce environments, and mentor a team of junior data scientists and analysts.

This position combines
technical excellence
,
thought leadership
, and
strategic impact
— ideal for someone who thrives at the intersection of data, business, and innovation.

Key Responsibilities

  • Design, develop, and review
    application scorecards
    , including
    reject inference
    and model validation.
  • Lead
    feature engineering
    initiatives to enhance model accuracy and business interpretability.
  • Collaborate with commercial and risk teams to align scorecard design with business objectives.
  • Apply scoring methodologies across multiple industries (e.g., banking, retail, fintech, insurance).
  • Innovate in
    low-data environments
    , particularly within the
    SME lending
    space.
  • Drive
    model governance
    , documentation, and adherence to best practices.
  • Mentor and upskill junior data scientists through structured learning and real-world projects.
  • Present analytical insights and recommendations to
    executive stakeholders
    .
  • Oversee multiple modeling projects concurrently in an agile, collaborative environment.
  • Lead
    PD model development
    and guide best practices for behavioral modeling.

Required Experience

  • Minimum
    8 years' experience
    in
    application scoring
    and
    credit risk modeling
    , with a strong delivery record.
  • Proven expertise in
    scorecard development
    ,
    reject inference
    , and
    model validation
    .
  • Advanced knowledge of
    feature engineering
    ,
    data preprocessing
    , and
    predictive modeling
    .
  • Comfortable working across sectors and adapting techniques to new data environments.
  • Skilled at developing robust models with limited or imperfect data.
  • Strong communicator — capable of influencing and presenting to senior executives.
  • Experience mentoring teams and driving technical excellence.
  • Proficiency in
    SAS
    (essential) and
    Paragon Modeler
    (advantageous).
  • Hands-on experience with
    model deployment
    and performance monitoring.

Preferred Attributes

  • Exposure to
    SME or alternative credit scoring
    environments.
  • Familiarity with
    machine learning
    in scoring contexts.
  • Experience generating new features to improve model performance.
  • Ability to thrive in
    agile
    , cross-functional teams.

Qualifications

  • Bachelor's degree in
    Mathematics
    ,
    Statistics
    ,
    Mathematical Statistics
    , or
    Engineering
    .
  • Postgraduate qualification will be advantageous.
  • SAS proficiency is a must.

Why You'll Love This Role

  • Lead
    high-impact scoring projects
    that influence credit strategy and financial inclusion.
  • Collaborate with a
    dynamic, innovative team
    shaping the future of credit analytics.
  • Opportunity to
    define best practices
    and establish thought leadership in the SME scoring landscape.

If you're passionate about blending data science, credit strategy, and real-world impact — this is the challenge you've been looking for.

Stefan Pretorius

Recruiter

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