356 Research Associate jobs in Kenya

• Monitor security alerts and logs for suspicious activity.
• Assist in the investigation of security incidents and data breaches.
• Perform vulnerability assessments and penetration testing under supervision.
• Learn and apply security best practices and protocols.
• Help maintain and update security documentation.
• Support the IT team in implementing security measures.
• Participate in security awareness training development.
• Research emerging cyber threats and vulnerabilities.
• Collaborate with team members in a remote environment.
• Complete assigned learning modules and practical exercises.

• A foundational understanding of computer networks, operating systems, and basic security concepts.
• Strong analytical and problem-solving skills.
• Excellent attention to detail.
• Eagerness to learn about cybersecurity principles and tools.
• Good communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• A degree or relevant certification in IT, Computer Science, or a related field is a plus but not mandatory for candidates with demonstrated passion and aptitude.
• Familiarity with security concepts like firewalls, encryption, and malware is beneficial.
• Commitment to a structured learning and development program.

• Assist in the collection, cleaning, and organization of agricultural data from various sources, including sensor readings, weather stations, and satellite imagery.
• Support the development and maintenance of databases and data repositories.
• Perform basic data analysis under the guidance of senior analysts to identify trends and patterns.
• Create simple data visualizations and reports to communicate findings.
• Learn and apply data analysis tools and techniques, such as Excel, SQL, and introductory data visualization software.
• Collaborate with team members to understand project requirements and assist in their execution.
• Participate in team meetings and contribute to discussions regarding data insights.
• Assist in documenting data processes and methodologies.
• Gain exposure to the AgriTech industry and its data-driven solutions.
• Support analysis relevant to agricultural challenges faced in regions like Meru, Meru, KE .

• Recent graduate with a Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Agriculture, or a related field.
• Strong analytical and quantitative skills.
• Proficiency in Microsoft Excel.
• Basic understanding of data analysis concepts and principles.
• Eagerness to learn and develop skills in data analysis tools such as SQL, Python, or R.
• Good communication and interpersonal skills.
• Ability to work independently and as part of a remote team.
• Strong organizational skills and attention to detail.
• A genuine interest in agriculture and technology is highly desirable.
• Proactive attitude and willingness to take on new challenges.

We are looking for a
Forensics Analyst Intern
to join our Fraud team in Kenya as we scale up and drive digital and financial inclusion across our markets.

As our Forensics Analyst Intern, you will support the Fraud Forensics team in conducting entry-level digital forensics activities, learning how to detect, analyse, and document potential fraudulent activities targeting M-KOPA devices. You will gain hands-on experience in digital forensics while contributing to the team's operational capabilities under close supervision from senior analysts.

You will assist in forensic investigations on compromised devices, learning to apply basic forensic techniques for evidence extraction and documentation. By following established procedures and guidelines, participating in cross-functional meetings, and receiving mentorship from senior forensic analysts, you will develop essential skills in technical documentation, evidence presentation, and fraud prevention methodologies.

About Us
In this role, you will be at the forefront of protecting our customers and business from fraudulent activities. Your primary focus will be on supporting forensic investigations while learning standardized forensic analysis protocols under the guidance of experienced professionals. You will help prepare preliminary forensic reports, developing crucial skills in technical documentation and evidence presentation that are fundamental to digital forensics.

Working closely with the fraud team and other departments, you will participate in cross-functional meetings to understand how forensic insights inform fraud prevention measures across the organization. You will observe court proceedings when applicable to gain understanding of legal requirements for digital evidence presentation, building a comprehensive foundation in forensic best practices.

Your learning journey will include assisting in security testing activities under supervision to develop vulnerability assessment methodologies while contributing to routine forensic tasks. You will compile data and contribute to regular reporting for team leads and management, ensuring accurate documentation of forensic activities.

This is an on-site role based in our Kenya offices, where you will collaborate with diverse teams across multiple departments. You will be reporting to the Lead Fraud Forensics Analyst while working alongside other Forensics Analysts in delivering operational excellence.

Expertise
We are looking for an aspiring forensics professional who can follow detailed technical instructions while demonstrating strong analytical thinking and attention to detail in all forensic activities.

You should be currently pursuing or have recently completed a degree in Computer Science, Digital Forensics, Cybersecurity, or a related field, with a basic understanding of computer systems, operating systems, and networking concepts.

Your technical foundation should include familiarity with at least one programming or scripting language (Python preferred), strong understanding of SQL, Notion, Microsoft suite (Excel, Word, etc), and Looker. Knowledge of data analysis and pattern recognition concepts will be essential for success in this role.

Being eager to learn with excellent written and verbal communication skills is crucial for effective collaboration with various team members and stakeholders. Your ability to handle confidential information responsibly while working effectively in a team environment will be fundamental to this position.

If you have skillsets in digital forensics, cybersecurity, and fraud prevention, combined with a strong analytical mindset and genuine interest in protecting customers from fraudulent activities, this could be the perfect opportunity to launch your career in digital forensics.

Why M-KOPA?
At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.

Join us in shaping the future of M-KOPA as we grow together. Explore more at
m-
.

Recognized four times by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024 and 2025) and by TIME100 Most influential companies in the world 2023 and 2024 , we've served over 5 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa.
Important Notice
M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.
M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships.
M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for 'recruitment fees', 'processing fees', 'interview fees', or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.
Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.

• Assist in gathering financial data from various sources for analysis.
• Support the preparation of financial reports, statements, and presentations.
• Help build and maintain financial models for forecasting and budgeting purposes.
• Conduct preliminary analysis of financial trends and identify any anomalies.
• Learn and apply financial analysis techniques and tools.
• Assist in the reconciliation of financial records.
• Collaborate with team members on financial projects and initiatives.
• Ensure accuracy and integrity of financial data processed.
• Participate in remote team meetings, contributing insights and asking clarifying questions.
• Adhere to all company policies and procedures, including data security protocols.

• A strong academic record, preferably with coursework in finance, accounting, economics, or a related field.
• Excellent quantitative and analytical skills.
• Proficiency in Microsoft Excel, including experience with formulas, pivot tables, and data visualization.
• Strong attention to detail and accuracy.
• Excellent written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• A proactive approach to learning and problem-solving.
• High school diploma or equivalent required; a bachelor's degree in a relevant field is highly preferred.
• A reliable internet connection and a suitable home office setup.
• Demonstrated interest in the banking and finance industry.

• Assist senior analysts in collecting, cleaning, and organizing data from various sources.
• Perform basic data analysis using spreadsheet software and introductory data visualization tools.
• Help create reports and dashboards to present findings to stakeholders.
• Learn and apply statistical methods and data modeling techniques.
• Participate in team meetings and contribute to project discussions.
• Identify trends and patterns in data to support business decisions.
• Develop proficiency in data manipulation and query languages (e.g., SQL basics).
• Ensure data accuracy and integrity in all assigned tasks.
• Collaborate with cross-functional teams to understand data requirements.
• Stay updated on emerging trends and technologies in data analytics.
• Contribute to the development of documentation for data processes and analyses.
• Troubleshoot data-related issues under guidance.
• Practice data privacy and security best practices.
• Provide support for ad-hoc data requests.
• Engage in continuous learning and skill development through online courses and internal training.

• A keen interest in data analysis and a strong desire to learn.
• Basic understanding of statistical concepts is a plus.
• Proficiency in Microsoft Excel or Google Sheets.
• Excellent problem-solving and analytical thinking skills.
• Strong communication and interpersonal abilities.
• Ability to work independently and as part of a remote team.
• A reliable internet connection and a suitable home office environment.
• No prior professional experience required; a willingness to learn is paramount.
• An aptitude for logical reasoning and attention to detail.
• Familiarity with any programming language (e.g., Python, R) is an advantage but not required.