Quant Developer & Analyst: Risk Modeling & Valuation

Compunnel, Inc.; Jersey City (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

A financial services technology company in Jersey City is seeking a Quant Developer/Analyst. The successful candidate will implement analytics within risk and calculation engines, conduct simulations, and prepare detailed reports. Proficiency in Python and strong knowledge of quantitative analysis is required. This role involves collaboration with cross-functional teams and adherence to industry standards.

Qualifications

• Strong knowledge of Linear Algebra, Statistics, and Time Series Analysis.
• Proficiency in Quantitative Analysis, Python, and Analytics.
• Experience implementing analytics in risk/calc engines for valuation and risk measures.
• Solid understanding of Equity and Fixed Income products, Exchange-Traded Derivatives, Portfolio Analysis, Fund Accounting, and NAV Calculation.

Responsibilities

• Conduct simulations using specialized tools to analyze product behavior under varying conditions.
• Assess factors such as load capacity, stability, and material resilience based on simulation results.
• Identify areas for improvement in product design by analyzing simulation data and recommending modifications.
• Prepare detailed reports, calculations, and technical justifications based on simulation outcomes.
• Work closely with cross‑functional teams to integrate simulation results into overall design processes.
• Ensure all calculations and analyses adhere to relevant industry standards and codes.

Skills

Quantitative Analysis

Python

Linear Algebra

Statistics

Time Series Analysis

Tools

CAESAR II

Pipestress

CAD/CAE tools

Job description

A financial services technology company in Jersey City is seeking a Quant Developer/Analyst. The successful candidate will implement analytics within risk and calculation engines, conduct simulations, and prepare detailed reports. Proficiency in Python and strong knowledge of quantitative analysis is required. This role involves collaboration with cross-functional teams and adherence to industry standards.