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About the Organisation
Flutterwave is a payment infrastructure company and our mission is to simplify payments for endless possibilities. We believe that our customers are our lifeline and are at the center of everything we do. Flutterwave was founded in 2016 by a team of ex-bankers, entrepreneurs and engineers. We decided to provide the award-winning technology core needed to provide businesses all around the world a powerful, reliable and intelligent payments gateway. Flutterwave provides the easiest and most reliable payments solution for businesses anywhere in the world. Flutterwave has grown to become one of the fastest growing payments companies in the world. Since inception Flutterwave has processed close to $2 billion in payments and 25 million transactions across over 33 African countries where it currently operates. It has attracted significant investment from experienced Fintech investors such as Ycombinator Continuity Fund (investors in Stripe), Greycroft (investors in Braintree and Venmo), Greenvisor Capital, Omidyar Network, and Glynn Capital amongst others. In 2017 Flutterwave was named Africa’s best fintech company at the Apps Africa Innovation Awards.
Associate/Senior Associate, Risk Modelling and Decisioning job at Flutterwave | Apply Now
Nairobi, Kenya
Flutterwave is a leading African fintech company with a mission to simplify payments for endless possibilities by building infrastructure that enables global businesses and individuals to make and accept payments across Africa seamlessly. Since its founding in 2016, Flutterwave has grown into a powerhouse in digital finance, earning global recognition for its innovative solutions, including being named among Time Magazine’s 100 Most Influential Companies.
The company is celebrated for its inclusive and high-performance work culture that fosters innovation, encourages professional growth, and supports flexibility through remote and hybrid work models. Flutterwave offers a wide range of career opportunities in technology, finance, operations, and more, attracting top talent from across the globe. Its evolution from a payments startup to a pan-African technology company is anchored in its agile business model, which integrates secure APIs and merchant services that power thousands of businesses, from startups to large enterprises.
Operating in over 30 countries and processing billions in transactions, Flutterwave's reach and impact continue to expand rapidly. Rooted in values of excellence, innovation, customer focus, and integrity, the company also champions social responsibility through initiatives that promote entrepreneurship, financial literacy, and community development. For more information, visit www.flutterwave.com.
Are you looking for Data, Monitoring, and Research jobs in Kenya 2024 today? then you might be interested in Associate/Senior Associate, Risk Modelling and Decisioning job at Flutterwave
Full Time
Deadline:
28 Nov 2024
Job Title
Associate/Senior Associate, Risk Modelling and Decisioning job at Flutterwave
Flutterwave
Job Description
Job Type; Full Time
Qualification; BA/BSc/HND , MBA/MSc/MA
Experience; 2 - 6 years
Location; Nairobi
Job Field; Data, Business Analysis and AI
Flutterwave is seeking a highly skilled and experienced Associate or Senior Associate, Risk Modelling and Decisioning to join our dynamic team. As a leading player in the fintech industry, we are dedicated to revolutionizing financial services through innovative technology and data-driven solutions. The Manager of Risk Modeling and Decisioning will play a crucial role in designing and implementing risk, compliance, and fraud decisioning strategies and processes, ensuring a robust data infrastructure to optimize our risk analytic capabilities and drive business growth.
Duties, Roles and Responsibilities
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
Interested and qualified? Go to Flutterwave on flutterwavego.bamboohr.com to apply
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How to Apply
Responsibilities include but are not limited to:
Lead or contribute to the development, enhancement, and maintenance of risk, compliance, and fraud prevention rules and processes across multiple products and channels from an analytic perspective.
Lead data initiatives within the Risk & Compliance organization, ensuring robust, complete, accurate, and consistent data capturing for analytic and reporting functions.
Monitor the performance of decisioning strategies and processes, identifying opportunities to leverage vendors’ capabilities better.
Identify internal and external data sources to improve risk and fraud mitigation strategies and processes.
Drive initiatives to automate and streamline risk management processes, leveraging advanced analytics and machine learning techniques where applicable.
Support predictive analytics initiatives by providing guidance as an analytic reviewer or with hands-on modeling when required.
Collaborate with cross-functional teams, including Data Science, Product Management, and Engineering, to implement data and decision strategies into production systems.
Analyze and interpret data to identify trends, patterns, and insights that inform risk management decisions and strategies.
Stay current with industry trends, best practices, and regulatory requirements related to risk management methodologies.
Provide leadership and mentorship to a team of risk analysts, fostering a culture of collaboration, innovation, and continuous learning.
Work closely with stakeholders to understand business objectives and develop risk management solutions that balance risk mitigation with business growth objectives.
Support regulatory compliance efforts by ensuring that risk analytics and decisioning strategies adhere to relevant regulations and guidelines.
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Required competency and skillset to be a waver:
Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, or related discipline; advanced degree preferred.
2-6 years of experience in risk/fraud strategy/analytic, rule and data management, or related analytic fields within the financial services industry.
Strong technical skills including proficiency in Python and other statistical analysis, data mining, and programming languages such as SQL.
Familiarity with risk/fraud management frameworks, methodologies, and regulatory requirements (e.g. GDPR).
Experience with building predictive models and data analytic tools (e.g., logistic regression, decision trees, random forests, gradient boosting and neural networks).
Excellent analytical and problem-solving skills with the ability to translate complex data into actionable insights and recommendations.
Proven leadership experience with the ability to effectively manage and mentor a team of analysts.
Exceptional communication skills with the ability to articulate technical concepts to non-technical stakeholders and senior leadership.
Strong project management skills with the ability to prioritize and manage multiple initiatives in a fast-paced environment.
Demonstrated ability to work collaboratively in cross-functional teams and drive results through influence and persuasion.
