Manager Risk Data Science

We are currently able to hiring full-time in the following US locations:  California, Georgia, Massachusetts, Florida, and Washington. If you are located outside of these states, you can still be considered as an applicant but the position will be on a contract basis.

About Plooto

82% of small businesses fail due to poor management of cash flow. Our vision is to enable the advancement of Small and Medium-sized Businesses (SMBs) by developing the tools & insights they need to maximize their cash flow. Over 10,000 businesses and their finance teams trust Plooto to automate their financial processes so they can focus on reaching their true potential.

About the Role

We are seeking a seasoned Senior Manager, Risk Data Science with a keen focus on account takeover, payment risk, stolen financials, and scam prevention. In this role, you will lead our efforts to fortify our platform against sophisticated threats and fraudulent activities. Your analytical prowess and strategic insights will be crucial in developing robust defenses to protect our customers and our operations.

• Develop and oversee an analytics-driven risk management framework focused on preventing account takeovers, payment fraud, financial data theft, and scams.
• Lead a specialized team of data scientists in examining patterns and trends that could indicate fraudulent activity, employing machine learning and behavioral analytics.
• Create predictive models that help preempt fraudulent transactions and account compromise incidents.
• Work with product and engineering teams to embed advanced fraud detection and prevention mechanisms into our user experience.
• Design and implement layers of risk control to safeguard customer financial information.
• Oversee the monitoring of transactions and user behavior for signs of unauthorized account access, financial data theft, and scam activities.
• Continually evaluate the effectiveness of current risk controls and recommend enhancements.
• Stay informed on the latest cyber threats and scam tactics targeting the financial services sector and adjust our risk mitigation strategies accordingly.
• Conduct in-depth investigations into reported or detected fraud cases to understand the modus operandi and prevent recurrence.
• Communicate complex risk scenarios and strategic solutions to senior management and other stakeholders.

• Bachelor's or Master’s degree in a quantitative field (Finance, Statistics, Computer Science, etc.).
• 10+ years of experience in risk management with a focus on online fraud, cybersecurity, or financial crime, including leadership experience.
• Proven expertise in data analytics as it relates to fraud detection, ideally within the money transfer or financial services industry.
• Strong understanding of account security, payment systems, and anti-scam methodologies.
• Proficiency in data mining and analysis tools (SQL, Python, R) and familiarity with machine learning techniques.
• Exceptional problem-solving skills and the ability to translate data insights into strategic actions.
• Demonstrated leadership in managing and developing analytical talent in a dynamic environment.
• Excellent verbal and written communication skills, with the ability to report risk insights effectively to all levels of the organization.

Why Become a Plootonian?

If you are looking to make a professional impact, look no further. Plooto is currently in hyper-growth mode, looking to 10x our customer base. Plooto is dramatically changing the payments space in North America. We have delivered an unrivalled product experience to fulfill a growing need in the SMB space. The biggest reason why SMBs close their doors is due to poor management of finances and cash flow. Plooto solves that problem! We have an extremely strong product-market fit with a massive opportunity ahead of us. We are backed by an experienced and diverse group of FinTech veterans. You will have the opportunity to make history and change the course of this sector for many years to come. Join Plooto and be a part of making history.

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