Full-Time

Quant Researcher

Vola Dynamics

Vola Dynamics

1-10 employees

Options pricing and volatility fitting platform

Compensation Overview

$175k - $250k/yr

Norwalk, CT, USA + 1 more

More locations: New York, NY, USA

Hybrid

PhD

Category
Quantitative Finance (1)
Required Skills
Python
Jupyter
Software Testing
Quantitative Research
Version Control
Matplotlib
NumPy
C/C++

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Requirements
  • You hold a PhD degree in a hard science or mathematics.
  • You have a proven track record of academic or professional research that used numerical algorithms, advanced modeling, or computational methods to solve challenging problems similar to those found in mathematical finance, astrophysics, particle physics, or similar fields.
  • You have significant experience using modern C++ to perform large-scale computational calculations, ideally in a high-quality C++ library or framework.
  • You have significant experience using the scientific Python stack, including Matplotlib, NumPy, and Jupyter, to analyze and visualize research outputs such as real-world data and simulations.
  • You are a confident verbal and written communicator who can independently produce written documentation and clearly present research to colleagues.
  • You have experience with modern software engineering best practices, including interface design, version control, unit testing, and documentation.
  • You are authorized to work in the United States.
Responsibilities
  • Research cutting-edge problems in volatility modeling and options valuation for vanilla and exotic options across all asset classes.
  • Implement research solutions in a modern C++ and Python library used by market participants.
Desired Qualifications
  • You may have prior industry experience in options market making or derivatives modeling, with five years or less of experience; this experience is not required.

Vola Dynamics LLC provides software for pricing options and fitting volatility in derivatives markets. Its main product is an advanced options pricer and volatility fitter that calibrates volatility surfaces to market data, enabling real-time pricing and hedging for equity, ETF, futures, and index options; users can use auto-fitted curves or create and modify their own curves and surfaces. The company focuses on dividend and volatility surface modeling with high-performance pricing and calibration methods aimed at financial professionals and institutions. Its goal is to help firms price and hedge derivatives across equities, ETFs, futures, and indices by delivering fast, accurate volatility modeling and option pricing tools.

Company Size

1-10

Company Stage

N/A

Total Funding

N/A

Headquarters

New York City, New York

Founded

2016

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Simplify Jobs

Simplify's Take

What believers are saying

  • Website updates in August 2026 show active product iteration and marketing.
  • April 2026 claims clients manage over $900 billion, proving enterprise adoption.
  • October 2, 2025 Cboe conference sponsorship and talk strengthen channel visibility.

What critics are saying

  • A small product surface around options analytics leaves revenue concentrated in one niche.
  • Competitors like Numerix and Qontigo already sell broader risk platforms to banks.
  • If C* curves underperform during stressed markets, traders switch fast by 2027.

What makes Vola Dynamics unique

  • C* curves outperform SVI, SABR, and SSVI on arbitrage-free volatility fitting.
  • Native C++, Python, Java, and C# APIs drop into trading stacks.
  • Cboe’s June 2025 RMC sponsorship signals credibility with institutional derivatives desks.

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Benefits

Health Insurance

401(k) Retirement Plan

Remote Work Options