Urgent Position - Quant/ Algorithm Developer at "Pittsburgh, PA/lake Mary, FL" – Hybrid Role

Greeting!!

 

My name is Rahul, and I am a Sr. Recruiter at ApTask. ApTask is a global, diversity certified staffing and recruiting company. We have an excellent job opportunity with one of our clients.

 

Job Title: Quant/ Algorithm Developer

Location: Pittsburgh, PA / lake Mary, FL – Hybrid Role

Type: Contract

 

Job Description:

• The Treasury group of a large global bank is building a next generation scenario analysis and balance sheet modelling platform to support both regulatory and internal risk management needs.
• We are seeking a Quant / Algorithm Developer with strong Python skills, analytical thinking, and financial/risk modelling experience to help design and implement the core modelling, scenario generation, and analytics components of this enterprise platform.
• This role blends quantitative development and software engineering to build scalable tools used by Treasury, Market Risk, and senior decision-makers.

 

Key Responsibilities:

Quantitative Modelling & Scenario Analytics

•           Develop and implement Python-based quantitative models for balance sheet projections, interest rate risk (IRR), liquidity analytics, and scenario-driven stress testing.

•           Support both regulatory scenarios (e.g., CCAR, SCB, liquidity stress) and ad hoc "what-if" analyses for Treasury and risk stakeholders.

•           Build tools for scenario transformations, sensitivity calculations, curve construction, and quantitative stress analytics.

•           Validate and enhance modelling logic based on financial theory and empirical data analysis.

Platform & Data Engineering

•           Design and maintain high performance Python modules that serve as the computational core of the scenario analysis framework.

•           Work with large datasets using SQL to integrate financial, balance sheet, and market inputs.

•           Collaborate on the development of REST APIs that interface with scenario engines, model layers, and user applications.

Front-End & Workflow Integration

•           Partner with UI developers to support React-based dashboards that present scenario results, visualizations, and analytics to business users.

•           Contribute to workflow automation that improves consistency, transparency, and turnaround time for scenario production.

Collaboration & Governance

•           Work with Treasury, Market Risk, and Finance teams to translate business and regulatory requirements into quantitative specifications.

•           Ensure models and analytics meet governance expectations, including documentation, version control, and testing standards.

•           Participate in model enhancements, performance tuning, and scalability design across the analytics pipeline.

 

Required Skills

Quantitative & Technical Skills

•           Strong proficiency in Python for numerical programming, data analysis, and model development.

•           Proficiency in SQL for data extraction, transformation, and performance tuned queries.

•           Experience building or integrating REST APIs for model-to-application communication.

•           Familiarity with scientific libraries such as NumPy, Pandas, SciPy, and exposure to distributed compute frameworks.

 

Financial & Risk Domain Knowledge

•    Understanding of financial instruments, banking products, or portfolio dynamics.

 

Experience with one or more of the following:

• Interest Rate Risk (IRR/NII/EVE)
• Liquidity risk and cashflow modelling
• Market Risk or sensitivity-based analytics
• Capital stress testing (e.g., CCAR)

•     Ability to work with financial data, time-series analysis, and scenario-based modelling techniques.

 

Soft Skills

• Strong analytical thinking and problem-solving ability.
• Clear communication skills, especially for explaining technical concepts to non-technical partners.
• Ability to collaborate with risk SMEs, quants, and technology teams.
• Self-starter comfortable working in a fast-paced, multi-stakeholder environment.

 

Preferred Qualifications

•        Master's degree in quantitative finance, Mathematics, Engineering, Computer Science, or similar field.

•        Experience in Treasury, risk modelling, or regulatory stress testing within financial services.

•        Exposure to React or willingness to collaborate closely with front-end developers.

•        Experience with cloud technologies, Git, CI/CD, or workflow orchestration tools.

 

 

Best Regards,

Rahul Sondhiya

 

ApTask | A global, diversity-certified workforce solutions provider.

Connect: | rahuls@aptask.com

Linkedin: linkedin.com/in/rahul-sondhiya-51837340

Address: 120 Wood Ave South, Suite # 300, Iselin, NJ 08830

 

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