JLL Technologies · 3 days ago

Quantitative Finance Developer

Denver, CO

Full-time

Remote

Mid Level

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Responsibilities

Design, develop, and implement quantitative models for analyzing financial data, pricing complex instruments, and forecasting future market trends. Utilize your expertise in statistics, probability theory, and mathematical finance to create accurate and robust financial models.

Support integration development between internal core systems and external third-party modelling and valuation software such as Fincad or Numerix. Implement market data, valuation models and pricing frameworks.

Ensure consistent quality and stability for users through robust testing and release frameworks. Facilitate change management with targeted feature development and upgrade plans. Calibrate and validate financial models using historical data, back-testing, stress-testing, and simulation methods. Ensure model accuracy, stability, and robustness by incorporating best practices for model validation.

Utilize programming languages such as C# and Python to support application development and integrations and data analysis, statistical modeling, and algorithm implementation. Leverage existing libraries and tools, as well as develop custom code as needed, to support quantitative modeling requirements.

Keep up to date with market trends, financial regulations, and industry best practices in quantitative modeling and risk management. Be prepared to contribute to planning and development efforts reacting to future changes in market practices and products.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Quantitative FinanceFinancial EngineeringDerivative PricingC#PythonJavascriptFincadNumerixStatistical ModelingAPEXData AnalysisMathematicsStatisticsComputer Science

Required

A strong background in quantitative finance, financial engineering, or a related field, with an understanding of financial models, derivative pricing, and risk management techniques.

Proficiency in derivative pricing models and interest rate models.

Experience in developing and implementing complex financial models for pricing, risk management, and scenario analysis.

Strong problem-solving ability and analytical thinking skills to develop quantitative solutions to complex financial problems.

Ability to work with large datasets and manage complex mathematical concepts.

Excellent verbal and written communication skills to effectively convey quantitative analysis and complex financial concepts to both technical and non-technical stakeholders.

Ability to collaborate effectively with cross-functional teams.