Who we are

Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019.
As Nigeria’s largest merchant acquirer, it powers most of the country’s Point of Sale (POS) transactions. Through its subsidiaries, Moniepoint Inc. processes $22 billion monthly for its customers while operating profitably.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

About the role
The Risk Management Analyst is responsible for analyzing credit and portfolio data, monitoring risk exposures, and supporting data-driven lending decisions across Moniepoint’s ecosystem. The role combines credit risk expertise and data analytics to ensure portfolio quality, regulatory compliance, and sustainable growth.

Key Responsibilities

1. Portfolio Risk Monitoring

• Track and analyze portfolio performance metrics (PAR, NPL, roll rates, recoveries)
• Monitor delinquency trends (PAR 0, 30, 60, 90, 360)
• Identify early warning signals (EWS) and emerging risk patterns
  
  

1. Data Analysis & Reporting

• Extract, clean, and analyse large datasets from internal and external systems
• Develop risk dashboards and automated reports
• Provide daily, weekly, and monthly portfolio insights
  
  

1. Credit Decision Support

• Support underwriting with:
• Cash flow and behavioral analysis
• Customer risk profiling
• Provide data-backed recommendations on loan approvals, limits, and pricing

1. Risk Modeling & Analytics

• Support development of:
• Credit scoring models
• Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD)
• Conduct stress testing and scenario analysis
  
  

1. Portfolio Strategy & Optimization

• Segment portfolio by industry, geography, and customer type
• Recommend risk-based strategies to optimize growth and minimize losses
• Support collection and recovery strategies using data insights
• Create model for monitoring e.g. Vintage, Credit Risk Appetite, Atypical
• credit model, Exceptions model, IS-WAS Model, Transaction Matrix etc
  
  

1. Regulatory & Compliance Support

• Support reporting to regulators such as the Central Bank of Nigeria and credit bureau
• Assist with IFRS 9 Expected Credit Loss (ECL) calculations
• Ensure alignment with internal policies and risk frameworks
  
  

1. Systems & Process Improvement

• Improve data pipelines, reporting efficiency, and risk monitoring tools
• Collaborate with product, engineering, and credit teams
• Support automation of risk processes
  
  

Key Deliverables

• Portfolio risk reports (PAR, NPL, vintage analysis)
• Risk dashboards and performance trackers
• Early warning reports
• Stress testing and scenario outputs
• Credit decision insights and recommendations

Required Tools & Technologies
Data & Analytics

• Microsoft Excel (Advanced)
• SQL
• Python (Pandas, NumPy)
• Visualization & Reporting
• Power BI
• Tableau
• Database & Systems
• MySQL / PostgreSQL
• Core banking/loan systems (e.g., Temenos, Finacle)
• Risk & Statistical Tools
• SAS / R (optional)

Key Skills & Competencies

Technical Skills

• Strong data analysis and statistical skills
• SQL and data querying proficiency
• Dashboard and reporting development
• Understanding of risk modeling techniques

Risk Knowledge

• Credit risk lifecycle and lending processes
• Risk metrics (PAR, NPL, PD, LGD, EAD)
• Knowledge of IFRS 9

Soft Skills

• Strong analytical thinking
• Attention to detail
• Communication and storytelling with data
• Stakeholder management

Experience & Qualifications

• Bachelor’s degree in finance, Economics, Statistics, Mathematics, or related field
•  4 – 5+ years’ experience in credit risk, data analytics, or fintech risk roles
• Experience in financial services or fintech is an advantage
  
  

Key Performance Indicators (KPIs)

• Accuracy and timeliness of reports
• Portfolio quality improvement (PAR/NPL reduction)
• Effectiveness of risk insights in decision-making
• Efficiency gains through automation

What we can offer you

Culture - We put our people first and prioritise the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.

Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.

Compensation - You’ll receive an attractive salary, pension, health insurance, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with one of our recruiters.
• A panel interview with the member of the team
• An executive interview with the hiring manager

About You and The Role

Zipline’s long-range autonomous drone system is already delivering millions of medical products across Africa, and as we scale, we’re establishing new distribution centers – the backbone of our operation. Each launch is a complex, multi-stakeholder effort requiring rigorous project management, cross-functional coordination, and hands-on leadership at the country level. We’re looking for a Deployments Project Manager to own local planning and execution of these rollouts. You’ll lead everything from site acquisition and permitting to construction, vendor management, and operational handover, coordinating across internal and external stakeholders to deliver sites that meet Zipline’s technical, safety, and performance standards. This is a highly visible role for a resourceful, technically savvy project manager who is eager to shape Zipline’s growing footprint and deliver lasting impact.

What You’ll Do

• Lead local deployment planning and execution for new distribution centers, owning the project end-to-end from site selection through operational launch.
• Work with real estate vendors and local authorities to identify and secure sites that meet Zipline’s technical and business criteria.
• Partner with Procurement and Engineering to identify, qualify, and select contractors and vendors through rigorous evaluation processes.
• Oversee site preparation and buildout, including workforce mobilization, civil works, hardware installation, and operational readiness, ensuring all timelines and quality benchmarks are met.
• Coordinate with Engineering, Supply Chain and Logistics to ensure timely delivery of materials and equipment to the site.
• Own and manage the project budget, tracking expenditures, anticipating risks, and ensuring efficient use of resources.
• Track KPIs and report progress weekly to country and Africa leadership, highlighting successes, risks, and mitigation strategies.
• Capture lessons learned and contribute process improvements to Zipline’s global deployment playbook to accelerate future rollouts.

What You’ll Bring

• A background in construction project management, civil works, engineering, or operations program management.
• At least 5 years of relevant experience leading complex, multi-stakeholder projects with significant technical and operational components.
• Demonstrated ability to plan and execute projects under tight timelines and budgets.
• Experience managing contractors, suppliers, and vendors, including technical evaluation and quality assurance.
• Proven track record of leading cross-functional teams and influencing stakeholders across different functions, levels, and geographies.
• Strong organizational and problem-solving skills.
• Excellent communication and stakeholder management skills, with the ability to report clearly and confidently to leadership.
• Grit, adaptability, and resilience to thrive in uncertain, constantly changing conditions

This role will be based in-country with extensive on-site presence required throughout the deployment period. Must be eligible to work in-country and commit to travel and frequent field-based work.

What Else You Need to Know

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Technical Financial Crime Manager

About Paystack

Over the past nine years, Paystack has established itself as a pioneer in African fintech with a mission to help merchants get paid by anyone, anywhere in the world. Processing over $300 million in monthly transactions, our modern payments infrastructure supports tens of thousands of notable corporations, including MTN, Bolt, and Domino’s Pizza.

As we enter a phase of accelerated growth, we are seeking a Technical Financial Crime Manager to own, design, and scale our fraud and AML detection capabilities. This role sits at the intersection of data, engineering, and financial crime operations, with end-to-end accountability for ensuring our monitoring systems are technically robust, domain-accurate, and scalable across multiple markets.

This is a hands-on technical leadership role. You will define detection logic, guide system design, and directly influence how financial crime risk is identified and managed at Paystack, while also leading and developing high-performing fraud and AML teams.

What You’ll Do

As the Technical Financial Crime Manager, you will run the day-to-day fraud and AML detection stack; from data and rules to operational outcomes. You will combine deep technical expertise with financial crime domain knowledge to design effective monitoring systems, manage domain specialists, and ensure Paystack remains a safe, trusted payments platform.

You will be accountable for:

• The technical quality and effectiveness of fraud & AML monitoring logic
• The operating model and performance of Financial Crime Monitoring teams

Translating risk, regulatory, and business requirements into scalable detection systems

Key Responsibilities

Technical Ownership of Detection & Monitoring

• Define, build, test, and optimise fraud and AML detection rules, scenarios, thresholds, and models used in production systems.
• Translate complex datasets and domain insights into actionable detection logic embedded in monitoring and alerting platforms.
• Establish feedback loops between investigation outcomes and detection logic to continuously improve signal quality.
• Measure and manage detection performance using quantitative metrics (precision, recall, false positives, alert-to-case conversion, loss metrics).

Maintain structured, auditable documentation of rules, logic, assumptions, and changes.

Data Analysis, Modelling & Insights

• Analyse large, complex transactional and behavioural datasets to identify emerging fraud and AML risks across markets.
• Design and implement statistical models, machine learning approaches, and/or time-series analysis to enhance detection capabilities.
• Build and own dashboards and reporting frameworks tracking KPIs, SLAs, alert quality, investigator productivity, and risk outcomes.

Conduct trend analysis, root cause analysis, and deep dives on losses, typologies, and control gaps.

Financial Crime Oversight

• Own the end-to-end fraud and AML detection domain, ensuring alignment between prevention, detection, investigation, and remediation.
• Apply deep understanding of fraud typologies, AML/CTF risks, sanctions, and regulatory expectations to detection design.
• Manage the Fraud and AML operational teams (specialists and first-line managers) to ensure adequate coverage, capability and day-to-day execution. 
• Translate regulatory, partner, and audit requirements into scalable technical and operational controls.
• Stay ahead of evolving financial crime patterns, market-specific risks, and regulatory developments across Paystack’s footprint.

Tooling, Automation & Scale

• Partner with Product and Engineering to embed detection logic into core systems and improve monitoring, alerting, and case management tooling.
• Drive automation initiatives to reduce manual effort, improve consistency, and enable scale without compromising control quality.
• Identify and prioritise enhancements to monitoring platforms, workflows, and data pipelines.
• Ensure fraud and AML tooling evolves in line with transaction growth, new products, and new markets.

Operational Excellence

• Build and continuously improve operational processes, SLAs, KPIs, and quality frameworks across Fraud and AML teams.
• Use data and metrics to manage performance, capacity, and outcomes, ensuring teams operate efficiently and effectively.
• Identify gaps, risks, and inefficiencies, leading initiatives to strengthen controls and scale operations sustainably.
• Balance speed, quality, regulatory expectations, and customer experience in day-to-day decision-making.

Cross-Functional & Executive Collaboration

• Work closely with Product, Engineering, Data, Risk, Compliance, Legal, and Customer Operations. 
• Influence roadmap priorities related to fraud, AML, and financial crime tooling.
• Provide clear updates to senior stakeholders on operational performance, risks, and emerging issues

Support audits, partner reviews, and regulatory engagements as a subject matter expert.

Who We’re Looking For

Required 

• 7+ years in financial crime roles in payments, fintech, banking, or financial services.
• Strong technical expertise in data analysis, including advanced SQL and experience working with large, complex datasets.
• Expert Python skills, including experience with libraries such as pandas, NumPy, scikit-learn, statsmodels, and/or model pipelines.
• Proven experience designing, building, and tuning risk detection systems (fraud, AML, or similar).
• Solid understanding of statistical modelling, machine learning, and/or time-series forecasting, with experience deploying models into production or operational workflows.
• Ability to translate data insights into operational detection logic used by investigators and automated systems.
• Experience measuring and optimising detection performance using quantitative metrics.

Strong systems thinking: able to design scalable, maintainable monitoring frameworks rather than one-off rules.

• Deep understanding of financial crime typologies, fraud patterns, AML/CTF requirements, and regulatory obligations.
• Experience operating within fraud, AML, risk, or compliance functions in payments, fintech, or financial services.
• Proven experience leading and developing teams, including setting direction, coaching, and performance management.
• Ability to balance technical depth with practical operational decision-making.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

High ownership mindset and comfort operating in ambiguous, high-growth environments.

Preferred

• Experience with dbt and modern analytics stacks.
• Experience with version control systems (GitHub).
• Experience with AI-assisted tooling or advanced analytics platforms.
• Familiarity with monitoring platforms, alerting systems, transaction screening, and case management tools.
• Experience working with OLTP (MySQL/PostgreSQL/SQL Server), OLAP (Redshift/BigQuery/Snowflake), and NoSQL (MongoDB) databases.
• Industry certifications such as ACAMS, ICA, CFE, CFCS, or similar.

Why This Role Matters

This role is foundational to Paystack’s ability to scale safely. You will define how financial crime detection works at Paystack, combining strong technical systems with sound domain judgment. Success in this role directly protects customers, merchants, partners, and the broader financial ecosystem while enabling Paystack’s continued growth across Africa and beyond.

This role is open to candidates based in Nigeria, Ghana, Kenya, or South Africa

Who we are

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa.
Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit and business management tools to help them succeed. Moniepoint processed $182 billion in 2023, and currently processes the majority of the POS transactions in Nigeria. 

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

Job Summary
We are seeking an SRE Team Lead to guide a squad of site reliability engineers responsible for the reliability of our highly distributed financial platform.You will be designing high-level reliability architecture, while also mentoring engineers, defining the technical roadmap, and driving the culture of Site Reliability Engineering within a team. You will balance strategic leadership with deep technical work to ensure our systems and our people can scale linearly with our hyper-growth.

Responsibilities

• Set the technical direction for the SRE team. Architect self-healing systems, define reliability standards (Production Readiness Reviews), and drive the adoption of observability as Code and automation best practices.
  
  
• Define and enforce the end-to-end standard for system visibility. You will guide teams to deeply instrument their code (logging, tracing, metrics) and govern the monitoring ecosystem to ensure alerts are actionable, strictly minimizing noise (alert fatigue) while maximizing our ability to detect and resolve issues proactively.
  
  
• Lead, mentor, and grow a team of Senior and Associate SREs. Conduct code reviews, facilitate technical workshops and foster a culture of engineering excellence.
  
  
• Act as the ultimate escalation point for major incidents. Beyond firefighting, you will refine the Incident management process, ensuring the process is efficient and that RCAs lead to actionable engineering fixes.
  
  
•  Partner with Engineering Managers and Product Leads to define Service Level Objectives (SLOs) that align with business goals. 

Requirements

• Minimum of 5 years of experience in SRE or Backend Engineering, with at least 2 years in a Lead or Senior/Staff role mentoring others.
  
  
• Expert-level proficiency in Java, Go, Rust, or Python. You set the standard for code quality within the team.
  
  
• Mastery of distributed systems patterns. You can design scalable architectures, debug complex microservices interactions, and explain architectural trade-offs to stakeholders.
  
  
• Deep expertise with Google Cloud Platform (GCP) or AWS.  You have extensive experience running Kubernetes (GKE) at scale and troubleshooting deep infrastructure issues.
  
  
• Proven experience defining observability strategies for large teams. You have deep expertise in architecting the complete telemetry stack: from custom instrumentation to monitoring and actionable alerting.
  
  
• Strong communication skills with the ability to de-escalate high-pressure war rooms with calm authority.

What we can offer you

• Culture - We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with the recruiter
• A technical interview with the Hiring Manager
• A behavioural and technical interview with a member of the Executive team. 

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.