Senior Quantitative Analyst

1 week ago


Charlotte, North Carolina, United States Tailored Management Full time
Job Title: Senior Quantitative Analyst/Data Scientist

At Tailored Management, we are seeking a highly skilled Senior Quantitative Analyst/Data Scientist to join our team. The ideal candidate will have a strong background in quantitative analytics and complex modeling, specializing in Anti-Money Laundering (AML) screening and high-risk detection operations.

Key Responsibilities:

  • Develop and implement 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.

Requirements:

  • 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.


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