Data Scientist II (Fintech)

TL;DR

Data Scientist II (Fintech): Developing and monitoring financial crime risk models to uncover actionable insights and guide strategic decision-making. Focus on applying advanced statistical techniques, tree-based algorithms, and neural networks to complex transaction monitoring challenges within the AML domain.

Location: Must be based in New York, New York, United States

Salary: $76,290 – $125,260 USD

Company

A leading global financial institution and one of the largest banks in North America, committed to providing a human-centric banking experience.

What you will do

• Develop and monitor financial crime risk models to support strategic planning.
• Translate complex business problems into viable data science solutions.
• Utilize Python and SQL to extract, prepare, and analyze large datasets.
• Visualize and communicate data-driven insights to stakeholders at all technical levels.
• Collaborate with cross-functional teams including data engineers and software developers.
• Ensure compliance with enterprise frameworks and regulatory requirements.

Requirements

• Must be a US Citizen or have a US Resident Green Card authorization (no visa sponsorship available).
• Undergraduate or advanced degree in math, physics, engineering, finance, or computer science.
• Minimum 3 years of relevant experience (or 1+ years for graduate degree holders).
• Strong coding proficiency in Python and SQL.
• Hands-on experience with tree-based algorithms and advanced data analytics.
• Ability to work autonomously and provide guidance to stakeholders.

Nice to have

• Knowledge of the AML (Anti-Money Laundering) domain.
• Experience with neural network architecture and transaction monitoring.

Culture & Benefits

• Comprehensive Total Rewards package including base salary and incentive awards.
• Health, well-being, savings, and retirement programs.
• Paid time off including vacation, flex, and holiday PTO.
• Access to online learning platforms and mentorship programs.
• Commitment to a diverse, equitable, and inclusive workplace.

Hiring process

• Interview process with communication of outcomes via email or phone.