Data Scientist II (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist II (Fintech): Developing and monitoring financial crime risk models with an accent on statistical inference, data wrangling, and predictive modeling. Focus on building scalable analytics solutions for transaction monitoring and collaborating with cross-functional teams to drive strategic decision-making.
Location: Must be based in the United States
Salary: $76,290 – $125,260 USD
Company
is a leading global financial institution providing a wide range of banking products and services to millions of customers across North America and the world.
What you will do
- Develop and monitor financial crime risk models using advanced statistical techniques.
- Translate complex business problems into viable data science solutions.
- Visualize and communicate data insights to stakeholders at various technical levels.
- Collaborate with data engineers, software engineers, and business analysts to deploy scalable models.
- Educate the organization on statistical validation and hypothesis testing.
- Ensure all models and processes comply with regulatory requirements and internal risk frameworks.
Requirements
- Must be a US Citizen or have a US Resident Green Card (no visa sponsorship available).
- Undergraduate or advanced degree in math, physics, engineering, finance, or computer science.
- 3+ years of relevant experience (or 1+ years for graduate degree holders).
- Strong coding proficiency in Python and SQL.
- Experience with tree-based algorithms and advanced data analytics.
- Ability to work autonomously and provide guidance to team members.
Nice to have
- Knowledge of the AML (Anti-Money Laundering) domain.
- Experience delivering production-grade models in a cloud environment.
- Experience with neural network architecture and transaction monitoring systems.
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 potential for follow-up communication via email or phone.
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