Consultant - Fraud Detection Methods and Tools at Pezesha
Pezesha, has created a holistic financial marketplace for MSMEs. By offering lending, financial education, and debt counselling to borrowers, plus a proprietary credit scoring system to vet MSMEs without a credit history, derisking lending to SMEs. Lower Risks bring commercial banks and capital providers onto Pezesha platform. As a collaborative structure, Pezesha is helping to tackle the $19 Billion financing gap for SMEs. Pezesha is led by a highly experienced and passionate local team with more than 10 years local and international experience in fin-tech, management of growth and technology companies, and unparalleled local market knowledge and reach.
Consultant - Fraud Detection Methods and Tools
- Job TypeFull Time
- QualificationBA/BSc/HND , MBA/MSc/MA
- Experience7 years
- LocationNairobi
- Job FieldConsultancy , Data, Business Analysis and AI , ICT / Computer
- We are seeking a dynamic Consultant specializing in Fraud Detection Methods in the context of digital lending. The Consultant will play a key role in evaluating our current fraud detection processes, identifying vulnerabilities, and implementing robust solutions and models to mitigate fraud risks effectively.
Key Responsibilities:
- Conduct a comprehensive audit of our existing fraud detection methods, tools, and processes.
- Analyze historical data and patterns to identify potential fraud indicators and develop predictive models for fraud detection.
- Collaborate with internal teams and external partners to gather insights and feedback on the effectiveness of current fraud detection strategies.
- Design and implement advanced fraud detection algorithms and techniques using machine learning and data mining approaches.
- Develop and deploy fraud detection systems and tools to monitor transactions, identify suspicious activities, and prevent fraudulent behavior.
- Provide training sessions and workshops to educate team members on fraud detection best practices and techniques.
- Offer advisory services to senior management on strategic decisions related to fraud risk management and mitigation.
- Act as a consultant to address any challenges or issues related to fraud detection and provide recommendations for improvement.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- At least 7 years Proven experience in fraud detection methods, tools, and techniques, preferably within the financial services or e-commerce industry.
- Strong proficiency in machine learning algorithms, data analysis, and statistical modeling for fraud detection.
- Knowledge of fraud trends, patterns, and typologies, as well as regulatory requirements and industry standards.
- Excellent problem-solving and analytical skills with the ability to analyze complex datasets and identify fraud patterns.
- Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams.
- Prior experience in providing consultancy and advisory services in fraud detection and risk management.
- Ability to stay updated on emerging trends and technologies in fraud detection to drive continuous improvement.
Tasks for Consultant - Fraud Detection Methods and Tools:
- Conduct a comprehensive audit of the organization's existing fraud detection methods, tools, and processes.
- Analyze historical data and patterns to identify potential fraud indicators and develop predictive models for fraud detection.
- Collaborate with internal teams and external partners to gather insights and feedback on the effectiveness of current fraud detection strategies.
- Design and implement advanced fraud detection algorithms and techniques using machine learning and data mining approaches.
- Develop and deploy fraud detection systems and tools to monitor transactions, identify suspicious activities, and prevent fraudulent behavior.
- Provide training sessions and workshops to educate team members on fraud detection best practices and techniques.
- Offer advisory services to senior management on strategic decisions related to fraud risk management and mitigation.
- Address any challenges or issues related to fraud detection and provide recommendations for improvement.
Method of Application
Please send your CVs and cover letter to jobs@pezesha.com . Kindly indicate the title of the job on the subject header of the email
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