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Moniepoint

Detection and Response Engineer

Place: Remote, Nigeria
Posted: Today

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Applies on job-boards.eu.greenhouse.io

The role

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.

Role Overview:

Moniepoint is looking for an experienced Detection and Response Engineer to join our Incident Response team. The role suits someone who has moved beyond first-line triage and wants to lead investigations from start to finish, then use what they learn to improve our detections. You’ll triage and investigate security incidents, write and tune detection rules in our Detection-as-Code pipeline, and automate detection and response work.

You'll work closely with the Lead to close detection gaps, drive down MTTD/MTTR, and grow toward deeper detection engineering and IR ownership across Moniepoint Group

Key Responsibilities:

Security Incident Response

Own escalated security incidents end-to-end, including scoping, evidence collection, threat analysis, containment, and remediation

Analyze and reverse engineer malware to understand its behavior, extract Indicators of Compromise (IOCs), identify Tactics, Techniques, and Procedures (TTPs), and determine appropriate detection and response

Conduct threat hunting using existing detection content, threat intelligence, and independent hypothesis-driven analysis

Review and provide feedback on reported security incidents

Detection Engineering

Write, test, and deploy detection rules (YARA-L or equivalent) through the team's CI/CD Detection-as-Code pipeline

Tune existing detections to reduce false positives, using incident and hunting findings as the primary signal for what needs fixing

Identify detection gaps surfaced during investigations and translate them into new rule proposals

Build and maintain SOAR playbooks and security automation, including AI-driven and agentic workflows, to automate alert triage, enrich investigations, and speed up incident response.

Participate in tabletop, purple-team, and threat-intel-driven simulation exercises, including scenario execution and converting findings into new detections

Translate relevant threat intelligence into new detection opportunities or hunting hypotheses

Collaboration & Documentation

Work cross-functionally with cloud security, infrastructure, and development teams to close systemic gaps identified during investigations

Maintain accurate records for incidents, detection changes, and threat intelligence, and keep the playbook library current

Document new detection logic and rule changes to a standard that supports peer review and audit

Compliance & Continuous Improvement

Ensure IR and detection engineering practices align with PCI-DSS, ISO 27001, and NIST CSF 2.0

Stay current with cybersecurity trends and threat landscape shifts, and proactively implement IR or detection process improvements

Log Integration, Visibility, & Threat Modeling

Drive log source onboarding and ingestion health across enterprise applications and cloud environments; identify critical visibility gaps; and coordinate remediation with relevant teams.

Lead threat modeling exercises for critical infrastructure and translate findings into high-fidelity detection rules and proactive threat hunting hypotheses

Implement and maintain automated event enrichment pipelines to enhance context for security investigations and improve analyst efficiency.

Qualifications

Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field (or equivalent hands-on experience)

2 - 4 years of experience in incident response, SOC operations, or detection engineering

Demonstrated experience writing or tuning detection rules in a SIEM (Google SecOps, or similar), using a rule language such as YARA-L, CQL, KQL, or Sigma

Solid experience with SIEM and EDR platforms, log analysis, and end-to-end incident triage/investigation

Working knowledge of MITRE ATT&CK and how it maps to detection coverage

Comfortable with Python, JavaScript, or a similar scripting language for automation and detection support work

Strong written communication skills for incident reports and detection documentation

Preferred Skills & Certifications

Experience with SOAR platforms or building automation for triage/enrichment

Exposure to multi-cloud environments (GCP, AWS) and fintech/financial-sector threats

Foundational digital forensics or malware analysis experience

GCIH, CySA+, or equivalent IR/detection engineering certifications

What We Offer

A clear path toward senior detection engineering and IR ownership

Direct mentorship from a Lead who owns the full detection-as-code and automation stack

Competitive compensation and benefits

Exposure to real-world fintech security challenges

The opportunity to build detection capability that protects systems impacting millions of users.

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 a Team Lead

A behavioural and technical interview with a member of the Executive team.