First Soft Solutions LLC · 3 months ago
Quantitative Modeler
Reston, VA
Full-time
Onsite
Mid LevelFirst Soft Solutions LLC is actively hiring for a Quantitative Modeler. The role involves developing and validating quantitative models for various financial applications and requires collaboration with trading desks and portfolio managers to create robust quantitative solutions.
Information Technology & Services
Responsibilities
Model Development: Develop and validate sophisticated quantitative models for a variety of financial applications, including market risk, credit risk, portfolio optimization, and derivative pricing. This will involve heavy use of Monte Carlo simulations to model complex financial instruments and simulate thousands of possible market scenarios to assess risk and potential returns
Time Series Analysis: Build and deploy advanced time series models (e.g., ARIMA, GARCH, and more modern machine learning-based approaches) for forecasting key financial variables like interest rates, volatility, and asset prices
Technical Implementation: Utilize Python as the core programming language for model development, backtesting, and automation. Use libraries such as pandas, NumPy, and Scikit-learn, and potentially more specialized finance libraries. Proficiency in SQL is essential for querying and managing large-scale financial datasets from various databases
Cloud Computing: Leverage AWS services for model deployment and to manage large-scale computational tasks. This could include using Amazon SageMaker for machine learning workflows, AWS Lambda for event-driven model updates, and Amazon S3 for secure and scalable data storage
Collaboration and Communication: Work closely with trading desks, portfolio managers, and risk officers to understand business needs and translate them into robust quantitative solutions. Communicate complex model methodologies and results clearly to both technical and non-technical stakeholders
Qualification
Required
Develop and validate sophisticated quantitative models for a variety of financial applications, including market risk, credit risk, portfolio optimization, and derivative pricing
Heavy use of Monte Carlo simulations to model complex financial instruments and simulate thousands of possible market scenarios to assess risk and potential returns
Build and deploy advanced time series models (e.g., ARIMA, GARCH, and more modern machine learning-based approaches) for forecasting key financial variables like interest rates, volatility, and asset prices
Utilize Python as the core programming language for model development, backtesting, and automation
Use libraries such as pandas, NumPy, and Scikit-learn, and potentially more specialized finance libraries
Proficiency in SQL is essential for querying and managing large-scale financial datasets from various databases
Leverage AWS services for model deployment and to manage large-scale computational tasks
Use Amazon SageMaker for machine learning workflows, AWS Lambda for event-driven model updates, and Amazon S3 for secure and scalable data storage
Work closely with trading desks, portfolio managers, and risk officers to understand business needs and translate them into robust quantitative solutions
Communicate complex model methodologies and results clearly to both technical and non-technical stakeholders
Company
First Soft Solutions LLC
When you hire First Soft Solutions, you're hiring a strategic technology consulting partner committed to helping you meet your unique business and technology objectives on time, on budget and with an optimal experience.
Founded in 2006
51-200 employees
H1B Sponsorship
First Soft Solutions LLC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (3)
2023 (5)
2022 (9)
2021 (11)
2020 (11)
Funding
Current Stage
Growth StageCompany data provided by crunchbase