Senior Quantitative Developer (Python) for Risk Engines

Global Fintech

New York (NY)

On-site

USD 100,000 - 140,000

Full time

4 days ago
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Job summary

Global Fintech in New York seeks a Senior Risk QD specialist to drive quantitative development across risk and scenario engines and related data platforms. Lead productionization of models, backtesting, and API development for analytics for internal and external customers.

Ideal candidate will have 8+ years in quantitative software development, strong Python production skills, and familiarity with risk models.

Qualifications

  • 8+ years of quantitative software development experience
  • Experience building large-scale systems
  • Bachelor's degree or higher in Computer Science, Mathematics, or a related field
  • Ability to write robust, production-grade Python code
  • Strong problem-solving and communication skills
  • Knowledge of risk models and margin methodologies is desirable
  • Experience in Risk, Prime, or Treasury tech domains is desirable
  • CFA/FRM/CQF or similar qualifications desirable

Responsibilities

  • Productionize research-developed risk models for the risk engine
  • Improve research tools and models, including backtesting, option pricing, and volatility fitting
  • Develop APIs that provide customized analytics for internal and external customers
  • Maintain, support, improve, and extend the scenario and risk engines
  • Contribute to data platforms, including position aggregation and pricing logic
  • Develop new risk models and functionality for risk and scenario engines
  • Develop and support the team's position, pricing, and reference-data platforms

Skills

Python
Quant dev

Education

Bachelor's degree or higher in Computer Science, Mathematics, or related field

Job description

Global Fintech in New York seeks a Senior Risk QD specialist to drive quantitative development across risk and scenario engines and related data platforms. Lead productionization of models, backtesting, and API development for analytics for internal and external customers.

Ideal candidate will have 8+ years in quantitative software development, strong Python production skills, and familiarity with risk models.

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