Financial Risk Intelligence Analyst

Financial Risk Intelligence Analyst (Credit Risk & Decision Systems)

Location: Remote (Nigeria Preferred)

Company: Slate Systems Lab Limited

About Slate Systems Lab

Slate Systems Lab is a Risk Intelligence Infrastructure Company building programmable intelligence for financial institutions. Our flagship platform, Farmslate, enables banks, insurers, development finance institutions, aggregators and agricultural businesses to make better lending decisions.

We don't just build dashboards; we build decision engines.

Our platform combines environmental intelligence, behavioral signals, agronomic records and financial logic to generate dynamic risk profiles, portfolio monitoring systems and automated lending recommendations.

As we scale, we are looking for someone who can bridge the gap between risk thinking and software engineering.

About the Role

We are looking for a Risk Intelligence Analyst who understands credit risk, but more importantly knows how to translate risk logic into production-ready Python code.

This is not a traditional credit analyst role.

This is not just someone who can build scorecards in Excel.

This role sits between:

• Credit Risk
• Data Science
• Software Engineering

You will take business rules, lending logic, underwriting policies, and other related variables and transform them into scalable Python-based decision engines.

Core Responsibilities

Your primary responsibility is NOT simply analysing risk.

Your primary responsibility is to transform risk logic into software.

• Design credit, environmental, behavioural, operational, and composite risk scoring models.
• Develop decision trees and rule-based workflows for loan approvals, monitoring, and recovery.
• Engineer features and combine financial, environmental, and operational data into unified risk models.
• Develop and validate Probability of Default (PD), behavioural, and portfolio risk models.
• Convert analytical models into reusable APIs, microservices, and production-ready components.
• Build explainable AI models with transparent scoring logic and clear decision reasoning.
• Continuously improve model accuracy through validation, calibration, and performance monitoring.
• Collaborate with Product and Engineering teams to convert business requirements into software solutions.
• Design configurable risk frameworks that can be adapted to different lenders and financial products.
• Develop early warning systems that detect emerging portfolio and borrower risks.
• Encode environmental intelligence into actionable lending and monitoring decisions.
• Write clean, well-documented, tested, and maintainable Python code for all risk models.
• Create automated testing frameworks to ensure the reliability and consistency of decision logic.
• Research and implement new modelling techniques to improve the platform's intelligence capabilities.
• Ensure every risk model is scalable, explainable, auditable, and suitable for production deployment.

Minimum Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Engineering, Finance or related field.
• 3+ years of experience in credit risk, risk modelling, quantitative analytics, data science, or financial engineering with python code.
• Experience working in a lending environment (bank, fintech, MFI, or digital lender) is strongly preferred.
• Demonstrable experience building credit risk models and implementing them in Python.

Who Will Succeed Here

We're not looking for someone who only says:

"This borrower is risky."

We're looking for someone who can say:

"Here's the exact Python function that calculates that risk."

We're not looking for someone who only builds beautiful PowerPoint presentations.

We're looking for someone who builds reusable decision engines.

We're not looking for someone who only trains models.

We're looking for someone who can combine:

• Business logic
• Financial risk
• Environmental intelligence
• Software engineering

into a production-ready system.

Why Join Us?

You'll be joining a team building one of Africa's emerging Risk Intelligence Infrastructure platforms. Your work will directly influence how financial institutions evaluate risk, allocate capital, and monitor portfolios using AI, geospatial intelligence, and software-driven decision systems.

If you enjoy solving complex problems at the intersection of finance, technology, AI, and environmental intelligence, and you're excited by the challenge of turning sophisticated risk logic into reliable, scalable code, we'd love to hear from you.

Submit your CV here or send it to career@joinslate.today

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