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.