Sr. Process Design Consultant - Tailored Management

Position: Senior Quantitative Analyst
Location: 900 W Trade St., Charlotte, NC 28255
Setting: Hybrid (3 days onsite, 2 days remote)
Schedule: Standard Business Hours
Pay Rate: $95.07/hr
Start Date: ASAP, pending onboarding completion.
Contract: 12-month contract-to-hire
Conversion to FTE: Based on performance, attendance, and business needs
Benefits: Access to health benefits

Job Overview:
We are seeking a highly skilled Sr. Quantitative Analyst/Data Scientist with a strong background in quantitative analytics and complex modeling, specializing in Anti-Money Laundering (AML) screening and high-risk detection operations. The role involves independent work, collaboration with technology teams, and strategic influence within the organization.

Key Responsibilities:

• Develop models and analytical frameworks to assess AML screening and high-risk detection operations.
• Tune model parameters and collaborate with developers to reduce false negatives and identify triggers for false-positive alerts, improving model accuracy.
• Assess and implement controls related to model development, validation, implementation, and monitoring within the organization’s model risk management framework.
• Monitor AML screening models by setting performance metrics and acceptable thresholds. Provide insights to key stakeholders on model performance.
• Collaborate with LOB partners and model risk management to address metric breaches.
• Assist in onboarding new clients or applications to the screening platform, including detailed data mapping discussions with LOBs.
• Manage multiple projects, providing model or analytical support as needed, and track the status of these initiatives.
• Integrate data science solutions into AML systems by collaborating with cross-functional teams.
• Define requirements, conduct testing, and implement changes to improve or automate processes with technology teams, while staying updated on industry trends.
• Present findings through formal reports and presentations to stakeholders and leaders, while collaborating with quantitative analysts or data scientists.

Required Skills:

• Master’s or Bachelor’s degree in Finance, Economics, Mathematics, Statistics, or a related field.
• 5+ years of experience with AML models, including screening, economic sanctions, transaction monitoring, or fraud detection.
• Familiarity with AI and machine learning concepts and their application.
• Strong quantitative modeling, financial instruments, and risk assessment skills.
• Expertise in data analytics and interpretation of large datasets.
• Proficiency in programming languages such as Python, Spark, R, SAS, SQL, and tools like SQL Server, Toad, PyCharm, Jupyter Notebook, Hue, and Beeline.
• Experience with Microsoft Suite and presentation/visualization tools.
• Familiarity with Horizon, GIT, and Bitbucket for project management and code control.

Desired Skills and Experience:

• Advanced degree in a quantitative field.
• Knowledge of screening program requirements.
• Ability to collaborate with global teams under pressure, meet deadlines, and navigate change.
• Strong interpersonal skills, with the ability to engage individuals from diverse backgrounds.
• Experience in Global Banking & Markets processes.
• Familiarity with screening applications like Fircosoft.
• Certified Anti-Money Laundering Specialist (CAMS) certification preferred.