Fraud SME

Kavyos Consulting; United States; On-site; USD 180,000 - 230,000; Full time

Job summary

Kavyos Consulting is seeking a Principal BA / Fraud SME in the United States. The candidate will analyze data, identify fraud patterns, and advise on prevention strategies across financial services and payment systems.

Strong communication, problem-solving, and independent work capabilities are essential. Responsibilities include leading strategic fraud initiatives, translating business needs into ML requirements, and mentoring junior analysts.

Qualifications

• 12+ years of experience in financial services, financial crime prevention, payment systems, credit cards, etc.
• CAMS/CFE or related certifications are a plus.
• Experience with Actimize or similar financial crime platforms.
• Strong presentation, communication, and problem-solving skills.
• Proficiency with SQL, Python, and/or R; knowledge of model governance is a plus.

Responsibilities

• Provide consultation on fraud prevention strategies for newly onboarded customers.
• Provide ongoing consultation on new fraud trends and prevention strategies including Actimize (IFM/ACTONE), ML models, and feature recommendations.
• Collect and analyze financial data for potential fraud and initial triage of missed frauds.
• Research new fraud trends, recognize patterns, and provide actionable insights.
• Prepare reports and fraud analytics presentations on trends and insights.
• Engage with clients, stakeholders, and internal teams to gather insights and manage expectations.
• Initiate and lead key strategic initiatives.
• Translate business needs into data science and ML requirements.
• Coach and mentor analytics team members on best practices.

Skills

Presentation

Communication

Problem solving

Team collaboration

Education

Bachelor's or master's degree in finance/IT

Certifications in financial crime prevention CAMS/CFE

Tools

Actimize solutions

SQL

Python

R

Job description

Client is currently seeking highly skilled Principal BA / Fraud Subject Matter Expert [SME]. Fraud SME with 12+ years of experience and focus on financial services industry, financial crime prevention, payment systems, checks, credit cards, etc .

As a SME they will play a crucial role in analyzing data, identifying fraud patterns, developing, and providing recommendations on fraud prevention strategies . They should have in depth knowledge about various financial payment systems. Knowledge or experience working as a fraud analyst or investigator is a plus. They should have strong presentation, problem solving and communication skills. They should also be able to work well alone and as part of a team.

• Key Responsibilities :Provide consultation on the fraud prevention strategies for newly onboarded Customers
• Provide ongoing consultation on new fraud trends, fraud prevention strategies including using Actimize solutions [for e.g. IFM or ACTONE], machine learning models, recommendations on new features, etc.
• Collect and analyze financial data for potential fraud, initial triage of missed frauds .
• Research new fraud trends, recognize fraud patterns and provide actionable insights.
• Prepare reports and periodic fraud analytics presentations on fraud trends and actionable insights .
• Engage with clients, stakeholders, and internal teams to gather insights, identify problems , provide solutions, and manage expectations.
• Initial and lead key strategic initiatives.
• Translate business needs into technical requirements for data science and machine learning initiatives.
• Coach and mentor peer analytics team members on best analytic practices

Qualifications:12+ years of experience in financial services industry, financial crime prevention, payment systems, credit cards, etc. Experience in financial fraud domain is a plus.

• Bachelor's or master's degree in finance, Information Technology, or related field. Certifications in business analytics or financial crime prevention [ CAMS, CFE or related] are plus.
• Experience with Actimize solutions or similar financial crime and risk management platforms.
• Proficiency in presentation tools such as Microsoft PowerPoint and similar technologies.
• Basic knowledge of machine learning algorithms, understand model performances, model governance etc.
• Proficiency with SQL, Python, R and/or other data analysis framework
• Excellent verbal, written, interpersonal communication skills for effective stakeholder management and collaboration.
• Creative problem-solving skills , strategic thinking, and good analytical skills.
• Efficient time management, ability to prioritize and multitask in a fast-paced environment.