Senior Quantitative Manager - Fraud New Account Screening in United States at Jobgether
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Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Quantitative Manager - Fraud New Account Screening in United States.
This role sits at the intersection of advanced analytics, fraud strategy, and leadership, focusing on protecting new customer account openings from fraud while enabling business growth. You will lead a team of quantitative and analytics professionals responsible for designing, implementing, and optimizing fraud detection strategies across digital and multi-channel onboarding flows. The position blends hands-on analytical depth with strategic oversight, requiring strong expertise in statistical modeling and fraud risk management. You will shape how new account screening evolves by leveraging predictive analytics, rules engines, and data-driven decision frameworks. Operating with high autonomy, you will partner closely with cross-functional stakeholders across fraud, risk, and business teams. This is a highly impactful role where your work directly influences customer safety, business profitability, and overall trust in the onboarding experience.
- Lead and develop a team of analytics and strategy professionals focused on fraud prevention for new account screening and customer onboarding flows.
- Design and implement advanced fraud detection strategies using descriptive and predictive analytics, rules frameworks, and technology-driven controls.
- Analyze fraud trends and performance data to identify risks and opportunities, translating insights into actionable mitigation strategies.
- Oversee reporting, analytics, and process improvements to enhance fraud detection efficiency and operational effectiveness.
- Partner cross-functionally with fraud, risk, operations, and business stakeholders to align strategies and drive consistent execution.
- Provide ad hoc analytical support to leadership, including deep dives, reporting, and strategic recommendations.
- Mentor and develop junior team members, fostering strong analytical capability and talent growth within the organization.
- Advanced degree in a quantitative field such as statistics, economics, engineering, mathematics, or related discipline, or equivalent professional experience.
- 5–10 years of experience in analytics, fraud strategy, risk management, or related quantitative roles.
- 2–4 years of leadership or management experience with demonstrated ability to guide and develop teams.
- Strong programming skills in SAS, R, and/or Python, with experience in statistical modeling and data analysis.
- Solid expertise in SQL, database management, and large-scale data manipulation.
- Proven background in statistical or econometric modeling and applying analytics to business and fraud use cases.
- Strong critical thinking, communication, and stakeholder management skills with the ability to influence decisions at senior levels.
- Competitive base salary ranging from approximately $121,900 to $262,100 annually, depending on experience and location.
- Eligibility for incentive compensation based on individual, team, and company performance.
- Comprehensive healthcare coverage including medical, dental, and vision plans.
- Retirement savings plan with employer support.
- Paid time off, holidays, and additional leave programs supporting work-life balance.
- Access to broad well-being programs covering physical, financial, emotional, and social health.
- Inclusive and flexible work environment with remote eligibility.