Senior Manager, Detection Strategy

full-time

Posted on: 9/18/2025

Origin: • 🇺🇸 United States

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💰 $110,760 - $166,400 per year

Senior

PythonSQL

About the role

Lead development, implementation, and optimization of detection frameworks to mitigate internal and external risks
Bridge intelligence, analytics, data, and controls to identify and respond to insider threats
Work cross-functionally with engineering, operations, compliance, product, legal, and data science teams to build scalable, measurable detection ecosystem
Design and lead comprehensive detection strategies for emerging and existing threat typologies
Leverage behavioral, transactional, and contextual data to define rule-based and model-based detection logic
Maintain and enhance a library of threat typologies and align detection with products, customer segments, and regulatory expectations
Track effectiveness of detection rules and models through KPIs and drive tuning efforts
Partner with product, technology, compliance, fraud ops, and data science to operationalize detection strategies and improve alert quality
Document detection strategy changes, support internal reviews, and contribute to governance forums, audits, and regulatory exams
Mentor, guide, and develop a team of detection analysts and strategy specialists
Provide people management leadership including hiring, goal setting, performance and compensation decisions, disciplinary actions
Set operational team direction, forecast programs/initiatives, and coordinate prioritization of portfolio with stakeholders
Lead implementation of regulatory change management and contribute to policy/procedure development

4-year degree or equivalent experience
10+ years of related experience
Demonstrated track record of cost, quality and schedule control of projects
Proven ability to effectively manage projects
Strong negotiation and conflict resolution skills
Detail oriented
Ability to exercise sound judgment
Excellent oral and written communication skills
Strong teamwork and client skills
Highly motivated
In-depth knowledge of construction standards, work methods, equipment and materials, operating practices and applicable codes
PC proficiency in MS Access, MS Word, MS Excel
Bachelor’s degree in a quantitative discipline preferred (Data Science, Economics, Engineering, Computer Science, Risk Management)
Experience in financial crimes, fraud detection, cyber or insider risk, or related analytics roles
Proven ability to design and optimize detection rules or models using structured and unstructured data
Strong knowledge of detection systems, UEBA, case management tools, and alerting technologies
Experience with SQL, Python, or similar tools for data analysis and prototyping
Experience working with cross-functional teams, including engineering, compliance, and analytics
Experience in regulated industries (e.g., banking, fintech)
Familiarity with ML/AI applications for detection and risk mitigation
Knowledge of frameworks like MITRE ATT&CK, NIST
Hands-on experience with commercial detection tools