Detection and Response Engineer

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.

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

• 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

• 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

• 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

• 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

• 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.

• 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

• 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

• 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.
  

• 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.