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Manager, Fraud Analytics

Remote: 
Full Remote
Contract: 
Salary: 
10 - 10K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in Business, Finance or Computer Science, Five or more years experience in AML or fraud analytics, Technical skills in Python, SQL, other tools, Knowledge of fraud risk typologies and regulatory requirements, MBA preferred but not required.

Key responsabilities:

  • Support development of enterprise-wide fraud analytics capabilities
  • Build models and tools for fraud detection
  • Analyze fraud trends and perform root cause analysis
  • Collaborate with various teams to enhance fraud prevention systems
  • Review and adjust fraud detection scenarios as needed
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Raymond James Financial Services XLarge https://www.raymondjames.com/
10001 Employees
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Job description

Job Summary

Under limited direction, support the development of enterprise-wide fraud analytics capabilities. The Manager, Fraud Analytics, will assist in the creation, refinement, and continued enhancement of Raymond James Financial fraud detection and data visualization tools. Using knowledge and skills obtained through education and experience, build models, tools and technical solutions covering a comprehensive set of fraud risks. Join a newly created team responsible for designing and implementing enterprise-level fraud solutions with significant business impact to multiple Raymond James’ subsidiaries. Works with members of the Financial Crimes Management (FCM) team to identify fraud trends, control enhancement opportunities and perform root cause analysis of non-detected activities. Reporting to the Director, Financial Crimes Analytics (FCA), the Manager will regularly interact with Enterprise Fraud Risk Management and Technology teams during the design and testing of new fraud models. Completes assignments with latitude for autonomous actions or decisions. Participates in technical analysis of identified issues, current processes, and procedures and proposed remediations. Regular contact with various departments/branches of Raymond James Financial and C-level executives is required to perform the functions of this job.

Duties And Responsibilities

  • Support multiple phases of the fraud model development life cycle including but not limited to: data extraction, transformation & loading, scenario design, development, validation, implementation, above-the-line and below-the-line testing, and ongoing maintenance.
  • Reviews, and adjusts the firm’s fraud detection scenarios, systems, and data solutions to align with changing regulatory and business environments in an effort to minimize the firm’s loss exposure while balancing business concerns.
  • Assists in fraud vendor evaluations, implementations, and model optimization efforts.
  • Partner with Enterprise Fraud Risk Management, Cyber Threat Intelligence, and Raymond James Technology teams to create new fraud prevention and surveillance capabilities.
  • Evaluate, enhance, improve investigations and surveillance associated with Fraud, Anti-Money Laundering (AML)/Counter-Terrorist Financing and (CTF)/Sanctions.
  • Service provider approach that fosters collaboration and demonstrates a team player mentality.
  • Actively monitor fraud model performance and typology coverage across business units.
  • Maintain high development standards and collaboration across FCA squads.
  • Participate in daily stand-ups, sprint planning, work intake prioritization, retrospectives, project planning, technical design sessions, and related team and stakeholder meetings.

Qualifications:

Knowledge of

  • US Fraud risk typologies for financial institutions, key detection and prevention controls, and applicable regulatory requirements.
  • Python, (Pandas, statsmodel, plotly etc.) SQL, Alteryx, Qlik, Tableau, Domo, PowerBI, Github, Data Build Tool (dbt), Model Op, Snowflake, Azure, AWS, Redshift, Confluence, Azure DevOps.
  • Financial markets, products, financial advisory function, and investment process.
  • Advanced AML/FCM client investigations and higher-risk corporate securities reviews concepts, practices, and procedures.
  • Concepts, principles, and best practices of agile project/program management.
  • Internal and External fraud investigations and detection programs for Financial Services

Skill in

  • Preparing and delivering clear, effective, and professional presentations.
  • Deep technical skills and experience with multiple programming languages, cloud technologies, databases, ETL tools, data visualization tools.
  • Demonstrating strong communication skills in all aspects of role that influence individuals outside of his or her span of control.
  • Articulating technical concepts in a way that is widely consumable and understood by non-technologists and senior leaders.
  • Operating standard office equipment and using required software applications to produce correspondence, reports, electronic communication, spreadsheets, and databases.
  • Navigating complex and disparate data environments to find and incorporate new data sources into fraud surveillance.
  • Translating business requirements into code.

Ability to

  • Channel your love of technology and a passion for data toward innovative technical solutions.
  • Build strong working relationships with colleagues, stakeholders, and senior management.
  • Navigate competing priorities in a rapidly changing landscape leveraging software/tools
  • Capable of context switching from technical analysis to program management and execution.
  • Lead multiple development efforts with cross-enterprise responsibility in an agile environment.
  • Analyze problem/situation to determine needs, wants, and goals.
  • Facilitate meetings, ensuring that all viewpoints, ideas, and problems are addressed.
  • Attend to detail while maintaining a big picture orientation.
  • Organize, manage, and track multiple detailed tasks and assignments with frequently changing priorities and deadlines in a fast-paced work environment.
  • Use appropriate interpersonal styles and communicate effectively, both orally and in writing, with all organizational levels.
  • Keep all appropriate parties up-to-date on decisions, changes, and other relevant information.

Education/Previous Experience

  • Bachelor’s degree (B.A.) from a four-year College or university or equivalent experience in Business, Finance, Computer Science, or related fields
  • MBA or master’s degree with strong academic credentials preferred
  • Five (5) or more years’ experience working on technical teams in Anti-Money Laundering (AML) compliance, Cyber Investigations/Fraud, enterprise technology and/or analytics in financial services, banking, asset management, FinTech, or consulting OR ~
  • Any equivalent combination of experience, education, and/or training.

Licenses/Certifications

  • None required.
  • Certified Fraud Examiner (CFE), Certified Anti-Money Laundering Specialist (CAMS), certifications are a plus but not required.

Travel Required

  • Yes, up to 10% of the time.

At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.

We expect our associates at all levels to:

  • Grow professionally and inspire others to do the same
  • Work with and through others to achieve desired outcomes
  • Make prompt, pragmatic choices and act with the client in mind
  • Take ownership and hold themselves and others accountable for delivering results that matter
  • Contribute to the continuous evolution of the firm

At Raymond James – as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.

Job :

Compliance

Primary Location :

US-FL-St. Petersburg-Saint Petersburg

Organization :

Anti-Money Laundering & Financial Crimes

Schedule :

Full-time

Shift :

Day Job

Travel :

Yes, 10 % of the Time

Salary Range: CO, NY, CA, WA (based on Education, Work Experience, and Geographic Location)

130,000 - 160,000

Eligible for Discretionary Bonus :

Yes

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Social Skills
  • Verbal Communication Skills
  • Problem Solving

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