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Credit Risk & FInancial Modelling Specialist

Principa

Wes-Kaap

Hybrid

ZAR 600 000 - 900 000

Full time

Yesterday
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Job summary

A leading consulting firm in South Africa is seeking a Financial Modelling Analytics Specialist to join their Predictive Analytics team. This role involves developing and delivering financial models while ensuring compliance with IFRS 9 regulations. The ideal candidate will have extensive experience in consumer credit analytics and a strong background in financial modelling techniques. The position offers a hybrid working environment with opportunities for personal and professional growth.

Benefits

Work on Challenging Problems
Continuous Learning & Development
Remote Work
Great Leadership

Qualifications

  • At least 8 years in consumer credit analytics, focusing on Financial Modelling.
  • BSc/BComm in relevant fields preferred.
  • Strong analytical and presentation skills required.

Responsibilities

  • Develop PD, EAD, LGD, and Survival analysis models.
  • Provide consulting advice based on data-driven decision making.
  • Analyze reports and perform investigative analytics.

Skills

Analytical skills
Proficiency in SAS
Financial modelling techniques
Predictive modelling
Customer service skills
Presentation abilities
Adaptability

Education

BSc/BComm in statistics, engineering, mathematics, finance

Tools

SAS
Excel
SQL
Python

Job description

ABOUT PRINCIPA:

At Principa, we focus on reducing risk and improving profitability by streamlining processes, increasing efficiency, and automating data-driven decision making across the customer lifecycle.

With over twenty-five years of data and analytics consulting experience, our mission is to open doors and enable access to financial services that foster economic empowerment and opportunity for all.

What We Do:

  • Consulting and Analytics: We provide actionable insights that drive smarter decisions in credit risk management, customer analytics, and portfolio optimization, leveraging over 20 years of expertise to help businesses enhance credit decisioning, mitigate risk, and improve customer acquisition and retention strategies.
  • Data and Decisioning Solutions: We transform raw data into meaningful information to enable better decisions, through tools like ADMiT — our innovative risk scoring tool for thin-file clients — and advanced lead generation services, empowering businesses to reach new markets.
  • Technology Solutions: Our decisioning and collections recovery technology solutions offer business rule management across the entire customer lifecycle, specialist collections strategies, and tactical actions to improve collections efficiency.

At Principa, you will be part of a movement towards financial inclusion that aims to change the world. You will have the opportunity to make a meaningful and lasting difference.

We value our People highly. Our success depends on them, and we ensure they are recognized for their unique contributions.

Benefits

  • Work on Challenging Problems: Collaborate with some of the brightest minds in credit consulting to solve key business challenges.
  • Continuous Learning & Development: We encourage structured learning plans, including coaching, mentoring, and formal education, to foster personal and professional growth.
  • Remote Work: Our remote-first approach offers flexibility, complemented by quarterly in-person gatherings to strengthen culture and connections.
  • Great Leadership: Our leaders undergo specialized training to develop empathetic leadership skills.

PRIMARY PURPOSE OF THE JOB:

The Financial Modelling Analytics Specialist plays a key role in our Predictive Analytics team, responsible for developing and delivering Provision and Profit models across industries, in compliance with IFRS 9 regulations. They will ensure project results meet client expectations in terms of quality, budget, and timelines.

The specialist will also innovate within financial analytics and develop analytical solutions beyond traditional financial modeling, showcasing innovative approaches with limited resources. Typical tasks include applying advanced analytical techniques, constructing data-driven models, and presenting insights with key recommendations.

KEY RESPONSIBILITIES:

  • Develop PD, EAD, LGD, and Survival analysis models
  • Use Markov Analysis for Portfolio Level Provision Forecasts
  • Develop historic and forecasted profit models
  • Create predictive models across the credit lifecycle and other industries
  • Provide consulting advice to organizations relying on data-driven decision making
  • Assist clients with analytics on a day-to-day basis
  • Analyze reports, perform investigative analytics, and solve problems
  • Prepare professional reports and presentations for clients
  • Build relationships with clients to identify further development opportunities
  • Collaborate with other departments on joint projects
  • Discuss innovative solutions with clients
  • Drive new product innovation within the analytics team

EDUCATION/QUALIFICATIONS:

  • BSc/BComm in statistics, engineering, mathematics, finance, or related field (preferred minimum)

EXPERIENCE:

  • At least 8 years in consumer credit analytics, with a focus on Financial Modelling and proven success in this area

KNOWLEDGE AND SKILLS REQUIREMENTS:

  • Strong analytical skills
  • Proficiency in SAS or similar statistical software
  • Deep understanding of Financial modelling techniques
  • Knowledge of predictive modelling and data science tools and techniques
  • Ability to multitask, prioritize, and work under pressure
  • Desire to learn and grow
  • Excellent customer service skills
  • Strong presentation abilities
  • Ability to work with diverse cultures
  • Adaptability and improvisation skills
  • Proficiency in Excel, VBA, Word, PowerPoint; SQL and Python are advantageous

OTHER:

  • The role is hybrid, mostly remote, with in-person collaboration and travel to client sites in South Africa and possibly abroad.

Remote workers must ensure an uninterrupted internet connection and a suitable work environment to perform effectively.

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