Managing Consultant – Financial Crime Data Scientist

Job Family:

Digital Consulting

Travel Required:

Up to 25%

Clearance Required:

None

Please note that this job posting is for a proposal of a potential client and is not reflective of an awarded job. In addition, we are only collecting resumes and interviewing based off the skillset and qualifications listed below.

What You Will Do:

• Manage teams that assist clients to modernize their financial crime technology solutions through the application of advanced analytics, machine learning, and artificial intelligence.  The financial crime space covers transaction monitoring, sanctions compliance, KYC/CDD, digital asset blockchain analysis, and fraud prevention
• Manage projects that evaluate, validate, test, and review the application of advanced analytics, machine learning, and artificial intelligence in financial crime technology solutions, both technical evaluation and governance review
• Responsible for day-to-day activities of a project including interaction with other team members, professionals from other firms involved in the engagement, and client personnel.
• Identify, research, and organize electronic information to assess the appropriateness and sufficiency of data to facilitate effective analysis.
• Identify patterns and persistent behavior in the data by interrogating it from different perspectives and multiple sources
• Analyze and interpret historical financial, operational, and transactional data.
• Prepare and review reports, written analyses, quantitative exhibits, and other client deliverable regarding project and/or results of work performed.
• Maintain detailed working records reflecting assumptions, methodologies, and information sources employed during the performance of all analytical tasks.
• Participate in and lead client meetings to review results of work performed.
• Maintain professional image within the company and project the same to those outside of the company.

What You Will Need:

• Bachelor’s degree is required
• Able and willing to come into Guidehouse's offices for internal meetings and work at clients' locations when required.
• Candidate must be local to Guidehouse offices.
• Experience in financial crimes compliance
• Minimum FIVE (5) years of experience in machine learning and artificial intelligence
• Fundamental understanding of statistics, advanced data visualization, analytics techniques, and the applications of data and decision science as they relate to the tasks of detecting financial crimes and fraud such as risk scoring, segmentation, and anomaly detection.
• Report writing and deliverables preparation experience.
• Proficiency in MS PowerPoint, MS Word, MS Excel, and statistical tools
• Ability to apply qualitative and quantitative skills to various engagements.
• Flexibility with respect to assigned tasks and engagements due to challenging deadlines, changing deliverables, and evolving task priorities.
• Strong work ethic, eagerness to learn, and motivation to succeed.
• Excellent presentation skills.
• Must be willing to travel. Travel requirements vary based on project and client needs.

What Would Be Nice To Have:

• A consulting background.
• Experience with various database constructs and analytics programs (e.g., SQL, Access, Python, R, Snowflake).
• Familiarity with payments (SWIFT, Fedwire, ACH/NACHA, etc.) including the ISO20022 format
• Relevant certifications, e.g., CAMS, CGSS, CFCS
• Being local to Guidehouse’s NY or DC offices

The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Parental Leave

• 401(k) Retirement Plan

• Group Term Life and Travel Assistance

• Voluntary Life and AD&D Insurance

• Health Savings Account, Health Care & Dep