Senior Credit Risk Analyst

1 Month ago • 4 Years + • Risk Management

Job Summary

Job Description

The Lead Credit Strategy Analyst is responsible for defining and executing credit risk policies and strategies to optimize profit across the credit lifecycle. This includes identifying growth opportunities, leading analytical projects, and ensuring credit policies are optimized for both performance and compliance. The candidate will work closely with cross-functional teams to develop and implement automated credit decisioning strategies, continuously evaluate data-driven strategies for funding decisions, and provide input to enhance existing processes. They will also stay updated with AI/ML trends and methodologies, collaborate with the Product team, and mentor analysts. Overall, the analyst will be responsible for driving data-driven profit optimization across the credit lifecycle for SMEs.
Must have:
  • Experience in data science or credit risk strategy analytics.
  • Proficiency in programming languages like Python, R, and SQL.
  • Experience with credit risk and decisioning platforms.
  • Knowledge of cloud-based environments and large data systems.

Job Details

Job title: Lead Credit Strategy Analyst

Reporting to: Head of Credit Data Science

Location: Cape Town, South Africa

ALL STAFF APPOINTMENTS WILL BE MADE WITH DUE CONSIDERATION OF THE COMPANY’S EE TARGETS

WHAT WE DO

Lula is an innovative and human-focused FinTech company on a mission to help small businesses optimise their cash flow. Our purpose is to help SMEs manage their businesses better, faster, and more simply, so they can spend more time doing what they love.

If you’re looking for a new place to call ‘home’ that believes in the potential of the broader SME landscape in South Africa and a place where you’ll work with awesome people - then Lula’s the place for you!

We’re making business banking fast, human, Lula!

CULTURE CODE

  • We Embrace Curiosity- We continuously seek better ways to deliver value with a solutions-over-problems mindset.
  • We win as One - We collaborate, build strong relationships and value diverse perspectives
  • We’re Driven by Purpose - We are passionate and committed to delivering the best products and services for SMEs
  • We Execute with Ambition - We set ambitious goals, embrace challenges, and deliver with focus and determination.

OVERALL PURPOSE

The Lead Credit Strategy Analyst is responsible for the analytical execution of the definition of credit risk policies, credit risk strategies and credit risk optimisation. This role is the analytical lead defining Lula’s risk appetite, return hurdles, credit risk policies, affordability assessment, strategy design, test frameworks, offer terms and ultimately profit optimisation across the credit lifecycle.

The successful candidate will work closely with cross-functional teams, including the Credit Modelling Lead, Credit Underwriting, Portfolio Management, Collections, Business Development, Finance, and Data Engineering, to ensure that credit policies and strategies are optimised for both performance and compliance.

Responsibilities will include:

  • Identifying expansion opportunities to grow the portfolio profitably / profit optimisation opportunities.
  • Leading analytical projects to define credit policies, strategies, affordability assessments, offers (terms of business) and test frameworks across the credit lifecycle.
  • Executing data driven profit optimisation decisions across the credit lifecycle.
  • Working with the Data Science, Credit Underwriting, Collections and Portfolio Management teams to execute data-driven insights / strategies.
  • Accountability for the implementation and performance of automated credit decisioning strategies (across multiple products, including Merchant Cash Advance and revolving credit for SMEs) in line with KPIs and Business Strategy.
  • Continuously evaluating and developing data driven strategies to support funding decisions (credit risk, affordability, pricing, delinquency, and fraud detection).
  • Providing input to enhance existing processes, identifying new opportunities within credit and collections teams.
  • Staying updated with AI/ML trends and methodologies to identify emerging credit risks and opportunities.
  • Working closely with Data Engineering to ensure required data for credit modelling, data driven strategy development and reporting is available.
  • Collaborating with the Product team to prioritise and implement strategy changes.
  • Leading and mentoring analysts within the Credit Data Science team, for assigned projects.

THE COMPETENCIES WE’RE AFTER

  • Strategic thinker with the ability to align model development to business goals.
  • Strong analytical leadership and team-building capabilities.
  • Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.
  • High attention to detail.
  • Passion for innovation and staying ahead of emerging trends in data science and credit risk strategy design.
  • A self-starter, able to take initiative and drive analytical projects from concept to implementation while ensuring usability across teams.

THE SKILLS AND EXPERIENCE WE’RE LOOKING FOR

  • Bachelor’s or Master’s in Commerce, Data Science, Statistics, Mathematics, or a related quantitative field.
  • 4+ years of experience in data science, credit risk strategy analytics, or related roles within financial services, ideally in lending or fintech.
  • Proven experience leading credit risk strategy analytics projects to implementation in a data-driven environment.
  • Proficiency in programming languages like Python, R, and SQL.
  • Experience working with credit risk and decisioning platforms.
  • Knowledge of cloud-based environments and large data systems (AWS, Azure, etc.).

Please note that all appointments are subject to our background checking process, which may include Credit, Criminal and any other job inherent checks.

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About The Company

Cape Town, Western Cape, South Africa (On-Site)

Cape Town, Western Cape, South Africa (On-Site)

South Africa (On-Site)

Cape Town, Western Cape, South Africa (On-Site)

Cape Town, Western Cape, South Africa (On-Site)

Cape Town, Western Cape, South Africa (On-Site)

Cape Town, Western Cape, South Africa (On-Site)

Cape Town, Western Cape, South Africa (On-Site)

Cape Town, Western Cape, South Africa (On-Site)

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