Senior Quantitative Analyst

Weplace; Cape Town; On-site; ZAR 1,300,000 - 2,400,000; Full time

Benefits offered by this job

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Job summary

Weplace in Cape Town is seeking an experienced quantitative risk modeller to design, develop and own models underpinning liquidity risk, ALM and stress testing. You will translate regulatory frameworks into robust, interpretable models and act as a trusted advisor to senior stakeholders across data to executive insight.

You will lead cross-functional collaboration with Risk, Treasury and Data Engineering, ensuring models are fit-for-purpose and well understood.

Qualifications

• 57 years hands-on experience in quantitative risk modelling within banking, financial services or risk consulting.
• Strong experience building (not just using) quantitative models.
• Proven exposure to regulatory capital and liquidity frameworks (ICAAP, ILAAP, LCR, NSFR, CAR).
• Experience with stress testing and economic capital modelling.
• Strong programming skills in Python or R, with SQL for data extraction.

Responsibilities

• Leading the design, development and ownership of quantitative risk models, with a strong focus on ALM liquidity risk, IRRBB, market risk and selected credit risk models.
• Support enterprise and board-level risk metrics, including capital adequacy, liquidity risk and regulatory reporting requirements.
• Translate risk strategy and regulatory frameworks into practical, operational models and insights.
• Work across the full model lifecycle—from data sourcing to modelling, validation and stakeholder engagement.
• Partner with Risk, Treasury, Data Engineering and Senior Stakeholders to ensure models are fit-for-purpose and well understood.
• Operate as a technical lead and subject-matter expert, guiding best practice within the quantitative space.

Skills

Quantitative risk modelling

ALM

Stakeholder engagement

Problem solving

Attention to detail

Education

Honours degree in Mathematics/Statistics

Masters degree in quantitative field

CFA/FRM/PRM considered advantageous

Tools

Python

R

SQL

Job description

About The Role

This role is for an experienced quantitative professional who enjoys solving complex problems at enterprise level. Youll design, develop and own quantitative models that underpin liquidity risk, capital adequacy, ALM, IRRBB and stress testing, operating across the full model lifecycle, from data through to executive insight. Beyond technical delivery, youll act as a trusted advisor to senior stakeholders, translating regulatory frameworks and risk strategy into robust, interpretable models that stand up to scrutiny.

What You'll be Responsible For

• Leading the design, development and ownership of quantitative risk models, with a strong focus on: Asset & Liability Management (ALM) Liquidity risk Interest Rate Risk in the Banking Book (IRRBB) Market risk and selected credit risk models
• Support enterprise and boardâlevel risk metrics, including capital adequacy, liquidity risk and regulatory reporting requirements
• Translate risk strategy and regulatory frameworks into practical, operational models and insights
• Work across the full model lifecycle - from data sourcing and preparation through to modelling, validation, interpretation and stakeholder engagement
• Partner closely with Risk, Treasury, Data Engineering and Senior Stakeholders to ensure models are fitâforâpurpose and well understood
• Operate as a technical lead and subjectâmatter expert, guiding best practice within the quantitative space

What We Are Looking For

Experience (minimum):

• 57 years handsâon experience in quantitative risk modelling within banking, financial services or risk consulting
• Strong experience building (not just using) quantitative models
• Proven exposure to regulatory capital and liquidity frameworks (ICAAP, ILAAP, LCR, NSFR, CAR)
• Experience with stress testing and economic capital modelling
• Strong programming skills in Python or R, with SQL for data extractio

Experience (ideal):

• 7+ years experience in enterpriseâwide or Boardâfacing quantitative roles
• Direct involvement in ICAAP / ILAAP or regulatory stress testing submissions
• Exposure to Basel III / IV interpretation and application
• Experience with AâIRB credit risk models (PD, LGD, EAD) and advanced liquidity behavioural modelling
• Experience mentoring or technically guiding junior quant

Qualifications

• Minimum: Honours degree in Mathematics, Statistics or a related quantitative discipline
• Preferred: Masters degree in Mathematics, Statistics, Engineering, Econometrics or Finance
• Professional certifications such as CFA, FRM or PRM are advantageou

Conditions of Employment

• Clear criminal and credit record