Moniepoint Inc. (Formerly TeamApt Inc.)

Data Scientist

• Model Development: Prototype, evaluate, and help productionize machine learning models for fraud detection; own their ongoing monitoring and retraining cycles.
• Experimentation: Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction.
• Risk Assessment: Size fraud typologies across our product lines to inform prioritisation and investment decisions.
• System Maintenance: Build and maintain anomaly detection systems to surface novel fraud vectors before they scale.
• Cross-Functional Collaboration: Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations.

Senior Data Scientist – Fraud

Engineering Manager

• Contribute to and drive the company-wide technology strategy, ensuring the platform and broader business systems are prepared to scale reliably across markets, products, and growing transaction volumes.
• Own the technical strategy across the ecosystem, aligning architecture, infrastructure, and delivery with company goals for reliability, scalability, security, and regulatory compliance.
• Guide architectural and solution design decisions across teams, removing technical roadblocks for Engineers, and ensuring robust, future-proof system and software architecture.
• Build, lead, and scale multiple high-performing engineering teams, including managers and senior individual contributors.
• Strengthen team capacity and capability through proactive mentorship, structured career development, succession planning, and rigorous performance management.
• Drive hiring strategy and org design to support near-term and medium-term growth of the engineering organization.
• Establish and continuously improve end-to-end observability, monitoring, alerting, and incident management frameworks to support high system availability (targeting 99.9999%+ uptime).
• Improve software reliability across the platform by implementing strong operational excellence practices and incident response mechanisms.
• Set and uphold high standards for engineering excellence, including code quality, testing, QA automation, documentation, and CI/CD pipeline maturity.
• Proactively manage and reduce technical debt while leading company-wide initiatives to improve overall codebase health and maintainability.
• Improve methodologies and systems for tracking engineering metrics, system health, team performance, and developer productivity.
• Define, track, and optimize KPIs such as system performance, transaction success rates, infrastructure efficiency, cost optimization, and team velocity.
• Optimize cloud infrastructure usage and costs while maintaining performance, reliability, and security standards.
• Collaborate closely with Product, Compliance, Legal, Risk, Sales, Marketing, and Business stakeholders to ensure engineering delivery aligns with company priorities and regulatory requirements.
• Ensure systems are secure-by-design, with strong ownership of data privacy, fraud prevention, and regulatory readiness.
• Build and maintain long-term technical and architectural roadmaps to keep the platform ahead of industry and technology trends.
• Foster a high-trust, high-performance engineering culture grounded in accountability, autonomy, continuous learning, and operational excellence.
• Contribute to broader company-wide engineering initiatives across financial services and business tooling (e.g., Payment, lending, savings, deposits, cards, and business management platforms) to elevate the overall engineering organization.

Head of Engineering

• Own the technical strategy and architecture for the POS Application Platform, acting as the domain CTO for everything that runs on our POS devices.
• Build and govern the four core platform pillars across the organisation: developer experience (tools, libraries, SDKs), platform reliability (observability, uptime, quality standards), foundational frameworks (architecture, coding standards, testing and release pipelines), and squad adoption (driving uptake of platform tooling across all embedded POS engineers).
• Define and enforce engineering standards across all POS device types and OEM manufacturers, ensuring architectural consistency and quality across a heterogeneous device fleet.
• Functionally lead POS engineers embedded across Payments, Onboarding, VAS, Savings, and Loans squads — setting the bar for engineering quality and providing the platform layer above all of them.
• Own POS observability end-to-end: monitoring, alerting, and incident response frameworks that ensure platform health across all devices and squads.
• Drive the architecture for how Moniepoint supports multiple POS device types, including defining how new devices are onboarded, governed, and integrated with the platform.
• Collaborate with OEM partners and the POS hardware team when new device types are introduced, ensuring the application layer is ready to support them from day one.
• Write and review code directly — this role expects 40 to 60 percent hands-on engineering time. You will set the technical standard, not just the technical direction.
• Build and scale the POS platform team, including hiring, mentoring, and structuring for growth as the platform expands internationally.
• Translate platform decisions into business impact, working closely with Product, Payments, and Business leadership across markets.
• Establish and continuously improve engineering processes, tooling standards, CI/CD pipelines, and developer productivity metrics across the POS engineering community.

DevOps Engineer

• Participate in on-call rotations as the primary technical lead. Act as the Incident Commander during major severity incidents: initiating war rooms, coordinating cross-functional teams, and providing clear status updates.
• Instrument code to expose high-cardinality metrics and distributed traces. Collaboratively define, measure, and defend Service Level Objectives (SLOs) and Error Budgets with product owners.
• Write high-quality, production-ready code (in Java, Go, or Python) to build internal tooling, automation platforms, and self-healing mechanisms that eliminate manual operator intervention.
• Partner with Product Engineering teams during the design phase to ensure new services are built with reliability, scalability, and observability patterns (circuit breakers, rate limiting, backpressure, fallback strategies) from day one.
• Analyze system performance and traffic patterns to model future capacity needs. Conduct load testing and chaos engineering experiments to verify system resilience under failure conditions.

Senior Site Reliability Engineer

Data Analyst

• Work closely with product managers, business, development and data engineering teams to guide the sales, marketing and growth team in problem discoveries, monitor and give visibility of product metrics and KPIs.
• Translate product and business questions into analysis and actionable insights.
• Develop and maintain scalable and self-service visualization tools and dashboards.
• Own end-to-end everything analytics related to Marketing and Growth Product: products development cycle, from data requirement gathering and opportunity sizing, to experimentation and post-launch impact analyses.
• Build robust relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product.
• Apply various advanced mathematical and statistical modeling techniques and analyses (A/B test, multivariate test, clustering, supervised learning, etc) to solve for product and business problems that drive the highest impact.

Senior Data Analyst

Product Manager

• Own and drive outcomes anchored in metrics and aligned with company OKRs.
• Know your domain in depth: business, product, operations, customers, market, competitors, and risk/regulation.
• Maintain a roadmap that balances near- and long-term priorities, and the right mix of growth levers, technical investments, and risk/regulatory requirements.
• Leverage ongoing customer discovery, product analytics, and a range of experimentation techniques to validate assumptions and refine product direction and priorities.
• Break down ambiguous, complex problems into clear proposals, actionable plans, and structured tradeoff scenarios and recommendations.
• Pairs business acumen with a strong product, design, and technical mindset - ideally with true fluency in technical concepts, even without an engineering degree.
• Dive beyond dashboards and interrogate the data directly. Build your own queries and analyses to validate hypotheses, stress-test intuition, and monitor early product signals.
• Own the product’s written backbone: from one-pagers and PRDs to GTM plans, release scopes, and user stories.
• Cultivate relationships with customers, teams, stakeholders, and leaders to ensure product direction is clearly communicated, aligned, and grounded in real-world context.
• Hold a high bar for ownership, decision-making rigor, product quality, and execution excellence across teams and key partners.

Senior Product Manager

Data Engineer

• Build and maintain robust data pipelines processing large volumes of data
• Update and optimise our data platform for speed, scalability and cost
• Coordinate with different functional teams to understand and meet their data needs
• Develop processes and tools to monitor and analyse model performance and data accuracy
• Solve general data-related problems

Software Engineer

• Work closely with our engineering teams to tell the story of what we’re building in a language that other expert engineers understand.
• Translate what our engineers build and learn into high-quality narratives: the kind that earns genuine respect in engineering communities, gets accepted at top-tier conferences, and attracts exceptional engineers from around the world.

Engineering Relations Specialist

Performance Marketing

• We are hiring for a dedicated Google Acquisition function to drive scalable customer growth across both our personal and business banking products.
• This Senior Manager will own the end-to-end Google performance channel — from campaign architecture and technical infrastructure to economic modelling and channel governance.
• This is not an execution role dressed up as a leadership role. We need someone who thinks in systems, works from first principles, and has the depth to make credible judgements on strategy, technology, and economics simultaneously.
• Design and own the full Google channel strategy across UAC / App Campaigns, Performance Max, and Search for both personal and business banking acquisition.
• Build and maintain campaign structures optimised for Moniepoint's dual-product funnel.
• Set bidding strategies, budget allocation frameworks, and creative testing cycles that reduce dependence on any single signal or format.
• Own campaign performance end-to-end: from brief to launch to optimisation to reporting.
• Partner with engineering and data teams to ensure event data flowing to Google is accurate, complete, and timely.

Performance Marketing Specialist

Head of Engineering, POS Application Platform

People Operations

• Partner with business leaders to translate organizational goals into actionable people plans that drive capability, performance, and retention.
• Lead workforce planning and organizational design discussions to ensure the right structure, roles, and talent are in place to meet current and future needs.
• Coach and influence leaders on talent strategy, performance management, and employee engagement to strengthen leadership effectiveness and team culture.
• Act as a trusted advisor on employee relations matters, ensuring fair, consistent, and business-aligned resolutions in collaboration with the Employee Relations COE.
• Partner with the Talent Management and Total Rewards teams to implement talent programs, learning initiatives, and reward structures that support performance and growth.
• Analyze people data and insights to identify trends, risks, and opportunities, presenting data-driven recommendations to business leaders.
• Champion change management and communication strategies that support transformation, adoption, and continuous improvement within business units.
• Ensure compliance with internal policies and local labor laws while promoting a positive, high-performance culture.

Senior Data Scientist – Fraud

Head of Engineering

Head of Engineering

Senior Site Reliability Engineer

Senior Data Analyst

Senior Data Analyst

Senior Product Manager

Senior Product Manager

Data Engineer

Engineering Relations Specialist

Performance Marketing Specialist

Head of Engineering, POS Application Platform

Associate, People Business Partner

Head of Engineering, POS Application Platform

Senior Data Analyst