Are you a skilled quantitative professional looking to elevate your career while shaping the future of financial analytics? We’re hiring a Quantitative Engineer, Finance Analytics – Director for an industry-leading commercial bank that values innovation, collaboration, and meaningful impact.
Why This Role?
This is more than a job—it's a chance to lead from the front. As the modeling expert within the Finance Analytics team, you’ll design and implement cutting-edge financial models that drive strategic decision-making and regulatory compliance. Starting as an individual contributor, you’ll lay the groundwork for building and managing a high-performing team of analysts and engineers.
What You’ll Do:
🔹 Model Development & Implementation
- Develop advanced CECL credit loss models for stress-testing, reserving, and underwriting.
- Personally code, test, and maintain these models to ensure they meet business and regulatory needs.
🔹 Data Mastery & Workflow Optimization
- Create scalable data workflows using tools like Apache Airflow.
- Drive impactful business insights with advanced dashboarding tools like Tableau or Qlik Sense.
🔹 Documentation & Compliance
- Produce detailed reports and collaborate with risk management, audit, and regulatory teams.
🔹 Stakeholder Collaboration & Leadership
- Build strong relationships across Finance, Risk, IT, and other business units.
- Help plan the vision and structure of a future team of quantitative professionals.
What We’re Looking For:
Experience:
- 5+ years working with complex data systems (Oracle, SQL).
- 5+ years in software/data engineering, especially within financial services.
- 3–5 years in financial modeling or analytics roles.
Technical Skills:
- Proficiency in Python, SAS, or R.
- Hands-on experience with cloud platforms like AWS, Azure, or GCP.
- Expertise in statistical modeling and machine learning techniques.
Mindset & Core Competencies:
- Analytical thinker with a knack for problem-solving.
- Exceptional organizational and time management skills.
- Strong communication skills to bridge technical and non-technical teams.
Preferred Skills:
- Background in full-stack development.
- Knowledge of CI/CD pipelines and best practices.
- Proven ability to gather and synthesize diverse data sources for actionable insights.
Education:
Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, Data Science, or STEM fields. Alternatively, a strong Finance or Business background paired with technical expertise.
🎯 Ready to Drive Change in Financial Services?
Join a forward-thinking team that values integrity, innovation, and excellence. This is your opportunity to work on impactful projects, grow your career, and contribute to a dynamic industry.
💼 Apply Now and take the next step in your journey!
