Job Description
We are seeking a visionary Senior Financial Data Scientist to join our elite risk management division. In this pivotal role, you will leverage advanced analytics to drive strategic decision-making and fortify our capital markets against volatility. If you are passionate about the intersection of finance and technology and want to shape the future of digital banking, we want to meet you.
Why Join Us?
- Competitive compensation package and equity opportunities.
- Work in a state-of-the-art fintech environment in the heart of Manhattan.
- Continuous learning opportunities and mentorship from industry leaders.
Responsibilities
- Model Development: Design, develop, and deploy predictive models to assess credit risk, market risk, and operational risk.
- Data Strategy: Build scalable data pipelines and architectures to ingest, process, and analyze large-scale financial datasets.
- Stress Testing: Conduct rigorous scenario analysis and stress testing to ensure regulatory compliance and resilience.
- Visualization: Create compelling dashboards and visualizations to communicate complex data insights to stakeholders and executive leadership.
- Collaboration: Partner with cross-functional teams including compliance, trading, and product development to solve complex business problems.
- Optimization: Continuously monitor model performance and refine algorithms to improve accuracy and efficiency.
Qualifications
- Education: Master’s degree in Finance, Economics, Computer Science, or a related quantitative field; PhD preferred.
- Experience: Minimum of 5 years of experience in data science, financial analysis, or risk management within a banking or financial services environment.
- Technical Skills: Proficiency in Python, R, SQL, and big data technologies (Spark, Hadoop).
- Domain Knowledge: Strong understanding of financial markets, regulatory frameworks (e.g., Basel III, Dodd-Frank), and risk management principles.
- Communication: Exceptional ability to translate complex technical concepts into clear, actionable business insights for non-technical audiences.
- Tools: Experience with visualization tools like Tableau, PowerBI, or Looker is highly desirable.