Principal Fraud Strategist
Bracknell, United Kingdom
Applications have closed
Outseer
Built on the foundation of RSA award-winning technology, Outseer solutions leverage data science, AI, and machine learning models proven in the largest financial institutions and highest-risk environments on the planet.At Outseer we are empowering our customers to liberate the world from digital fraud. Our market-leading enterprise fraud and authentication platform is used by thousands of financial institutions around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others can’t at outseer.com.
What you’ll achieve:
The Principal Fraud Strategist is a highly experienced and visionary professional who will lead fraud prevention initiatives and play a pivotal role in driving innovation, thought leadership, and customer engagement. This subject matter expert role requires a combination of strategic influence, cross-functional collaboration, and customer interaction to ensure that products and messaging align with market demands and effectively address emerging threats.
The Principal Fraud Strategist is a seasoned professional responsible for developing and implementing strategies to detect and prevent fraudulent activities. This role requires a deep understanding of fraud trends, regulatory environments, and advanced analytical techniques to protect the organization's assets and reputation. The strategist will collaborate across departments, influence product development, and represent the organization in industry forums.
Essential Duties:
Strategic Thought Leadership:
- Advise on the product roadmap, incorporating real-world feedback to enhance fraud prevention capabilities.
- Collaborate with data scientists to develop and refine fraud detection models, ensuring they address emerging threats effectively.
- Influence product development to ensure alignment with business goals and regulatory requirements.
- Publish white papers, blogs, and case studies on fraud trends to establish our organization as a thought leader in the industry.
Cross-Functional Collaboration & Education:
- Serve as a liaison between executive leadership, product teams, and operational functions to ensure cohesive fraud prevention strategies.
- Enhance data quality and machine learning model effectiveness through continuous feedback and collaboration.
- Mentor internal teams to build fraud prevention expertise and drive awareness initiatives across the organization.
Customer and Industry Engagement:
- Act as a trusted advisor to customers, providing expert guidance on fraud solutions to drive retention and growth.
- Represent the organization in industry forums, conferences, and regulatory discussions to address evolving fraud challenges.
- Build relationships with stakeholders to understand and mitigate emerging fraud risks.
Desired Requirements:
- Proven experience in fraud prevention and strategy, with a deep understanding of fraud detection techniques and regulatory environments.
- Strong ability to collaborate across technical and business functions, demonstrating exceptional communication skills.
- Exceptional communication skills, including experience in public speaking and thought leadership, with a history of publishing on relevant topics.
- Proficiency in data analysis tools and methodologies to assess and mitigate fraud risks.
Desired Requirements
- Bachelor's degree in a related field such as Finance, Economics, Computer Science, or Data Analytics.
- Master's degree (MBA or relevant field) is highly preferred.
- Industry certifications such as Certified Fraud Examiner (CFE), Certified Anti-Money Laundering Specialist (CAMS), or Certified Information Systems Security Professional (CISSP) are advantageous.
- Extensive experience in fraud prevention and strategy development.
- Deep understanding of fraud detection techniques, banking, and regulatory environments.
- Proven track record in influencing product roadmaps and enhancing fraud prevention capabilities.
- Proficiency in data analysis tools and methodologies for fraud risk assessment.
- Experience collaborating with data scientists to develop and refine fraud detection models.
- Familiarity with machine learning and advanced analytical techniques.
- Exceptional communication and presentation skills.
- Experience in public speaking and thought leadership (e.g., publishing white papers, blogs, and case studies).
- Ability to mentor and educate internal teams on fraud prevention strategies.
- Strong ability to work across technical and business functions, including executive leadership, product teams, and operational functions.
- Experience enhancing data quality and machine learning model effectiveness through continuous feedback loops.
- Ability to act as a trusted advisor to customers on fraud solutions.
- Experience representing the organization in industry forums, conferences, and regulatory discussions.
- Building and maintaining relationships with external stakeholders to mitigate emerging fraud risks.
Desired Behaviors
- Strategic Alignment: Cascades strategic goals into departmental goals, ensuring alignment between the two. Translates broader organizational objectives into actionable targets for the department.
- Execution Focus: Sets high performance standards and drives execution. Mobilizes resources, removes barriers to success, and holds both self and others accountable for achieving results.
- Change Leadership: Drives change by challenging assumptions, taking responsibility for leading and executing change initiatives. Actively seeks opportunities to improve processes and embraces a proactive approach to change.
- Effective Decision-Making: Makes sound and timely decisions using problem-solving, decision-making, and planning tools. Analyses situations, gathers relevant information, and takes corrective action when necessary.
- Employee Development: Recognizes and understands the development needs and aspirations of employees. Takes these into consideration when assigning roles and responsibilities, fostering growth, and providing opportunities for skill enhancement.
- Employee Well-Being: Knows employees individually and cares for their well-being. Communicates their importance and value through words and actions, creating an environment where employees feel supported and appreciated.
- Clear Communication: Over-communicates by clearly translating corporate goals into departmental goals and targets. Communicates with passion and purpose, inspiring employees to listen and understand the strategic direction.
- Employee Engagement: Creates an environment that values listening to employees and encourages them to communicate their ideas. Actively seeks input, promotes open dialogue, and recognizes the importance of employee contributions.
- Ethical Conduct and Competence: Displays ethical character and competence, building trust through actions that align with integrity and intent. Demonstrates professional credibility in their role.
- Role Modelling: Serves as a role model for others by displaying high levels of commitment and energy. Demonstrates the organization's core values and sets high standards of behavior. Influences others positively and acts as a good citizen of Outseer.
Outseer is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Outseer are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Outseer will not tolerate discrimination or harassment based on any of these characteristics. Outseer encourages applicants of all ages.
* Salary range is an estimate based on our InfoSec / Cybersecurity Salary Index 💰
Tags: Analytics Banking CISSP Computer Science Data Analytics Finance Machine Learning Risk assessment Strategy
Perks/benefits: Career development Conferences
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