Title: Quant / Algorithm Developer
Location: Pittsburgh, PA / Lake Mary, FL (Hybrid)
Job Type: Contract / Full-Time
Role Overview
We are seeking a Quant / Algorithm Developer with strong Python development skills, analytical thinking, and financial/risk modeling expertise to design and implement the core modeling, scenario generation, and analytics components of an enterprise risk platform.
This role combines quantitative development and software engineering to build scalable analytics tools used by Treasury, Market Risk teams, and senior decision-makers.
Key Responsibilities
1. Quantitative Modeling & Scenario Analytics
2. Platform & Data Engineering
3. Front-End & Workflow Integration
4. Collaboration & Governance
Required Skills
Quantitative & Technical Skills
- Strong proficiency in Python for numerical programming, data analysis, and model development.
- Expertise in SQL for data extraction, transformation, and performance-tuned queries.
- Experience building or integrating REST APIs.
- Familiarity with scientific computing libraries such as:
- Exposure to distributed computing frameworks is a plus.
Financial & Risk Domain Knowledge
- Understanding of financial instruments, banking products, and portfolio dynamics.
- Experience in one or more of the following areas:
- Interest Rate Risk (IRR / NII / EVE)
- Liquidity risk and cashflow modeling
- Market risk or sensitivity-based analytics
- Capital stress testing (CCAR)
- Experience working with financial datasets, time-series analysis, and scenario-based modeling techniques.
Soft Skills
- Strong analytical thinking and problem-solving skills.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Experience collaborating with risk SMEs, quantitative teams, and technology groups.
- Self-driven professional comfortable working in a fast-paced, multi-stakeholder environment.
Preferred Qualifications
- Master’s degree in:
- Quantitative Finance
- Mathematics
- Engineering
- Computer Science
- or a related field
- Experience in Treasury, risk modeling, or regulatory stress testing within financial services.
- Exposure to React or willingness to collaborate closely with front-end developers.
- Experience with cloud platforms, Git, CI/CD pipelines, or workflow orchestration tools.
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