OptionMetrics Logo

OptionMetrics

Quant Associate

Posted 9 Days Ago
Be an Early Applicant
In-Office
New York, NY, USA
130K-160K Annually
Junior
In-Office
New York, NY, USA
130K-160K Annually
Junior
Support senior researchers to develop, implement, validate, and maintain option pricing models and quantitative analytics. Conduct statistical analysis on large financial datasets, contribute to new products and tools, document findings, and communicate technical results to technical and non-technical stakeholders in a hybrid NYC environment.
The summary above was generated by AI
About Us: 
OptionMetrics, headquartered in New York, NY. is a dynamic and innovative technology company, a trusted provider of financial information and research derived from the option markets. We are at the forefront of developing solutions that empower businesses. Our commitment to excellence, coupled with a collaborative, forward-thinking culture, has made us the preferred choice for top-tier talent. Our data and analytics models are utilized by over 350 investment banks, hedge funds, asset management firms, and academic institutions globally, solidifying our position as a leader in the industry.

At OptionMetrics, we are seeking a curious, analytical, and detail-oriented Quant Associate to join our Quantitative Research team. This is an excellent opportunity for an early-career quantitative professional who is passionate about financial modeling, derivatives, and applied research.

As a Quant Associate, you will partner closely with our Senior Quantitative Researchers on a variety of quantitative research initiatives, contributing to the development and enhancement of our industry-leading options analytics platform. You will have the opportunity to work on challenging problems, develop innovative models, and see your work directly impact our products and clients.

We are a small, agile organization that values intellectual curiosity, collaboration, and craftsmanship. We emphasize quality over expediency and encourage our team members to take ownership of their work from concept through implementation. You'll be surrounded by exceptionally bright colleagues who are passionate about solving complex financial problems and advancing quantitative research.

Location: Hybrid (New York City)

 

What You'll Do:

    • Assist in the development, implementation, and maintenance of the firm's option pricing models and quantitative analytics.
    • Partner with Senior Quantitative Researchers on research initiatives and model enhancements.
    • Contribute to the development of new products, quantitative tools, and analytics.
    • Collaborate with the Head of Quantitative Research to understand client needs and help develop innovative quantitative solutions.
    • Conduct statistical analysis and quantitative research using large financial datasets.
    • Validate, test, and improve pricing models to ensure accuracy, robustness, and performance.
    • Document research findings and communicate technical concepts clearly to both technical and non-technical audiences.

     

     

     

     

     

     

Skills You'll Need:

  • Master's degree (M.S.) or higher in Financial Engineering, Quantitative Finance, Econometrics, Statistics, Applied Mathematics, Physics, Computer Science, or another highly quantitative discipline.
  • Strong interest in derivatives, option pricing, financial markets, and quantitative modeling.
  • Proficiency in at least one programming language such as Python, C++, or Java.
  • Strong analytical and problem-solving skills with exceptional attention to detail.
  • Excellent written and verbal communication skills.
  • Ability to manage multiple priorities while working both independently and collaboratively.
  •  

    What Will Make You Stand Out:

  • Academic or research experience in derivatives, stochastic calculus, numerical methods, or financial modeling.
  • Experience implementing quantitative models in Python or C++.
  • Familiarity with options pricing models such as Black-Scholes, binomial trees, Monte Carlo simulation, or finite difference methods.
  • Experience working with large financial datasets and statistical analysis.
  • Exposure to machine learning techniques or predictive modeling.
  • Internship or research experience within quantitative finance, financial engineering, or capital markets.
  • Intellectual curiosity, a desire to continuously learn, and enthusiasm for tackling complex quantitative challenges.

What We Offer:

  • A collaborative environment where everyone's input makes a difference.
  • Paid time off: Vacation, Personal, Sick days, and Holidays.
  • Pre-tax commuter benefits (NJT, MTA, etc.) and 401k plan offered.
  • Full medical and dental insurance coverage.

OptionMetrics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, OptionMetrics will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination .    

If you need a reasonable accommodation for any part of the employment process, please contact us by email and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. 

HQ

OptionMetrics New York, New York, USA Office

1776 Broadway, Suite 1800, New York, NY, United States, 10019

Similar Jobs

2 Days Ago
In-Office
New York, NY, USA
138K-170K Annually
Mid level
138K-170K Annually
Mid level
Fintech • Information Technology • Financial Services
Join Aladdin Financial Engineering as a quantitative modeler to research, develop, and deploy financial and portfolio risk models. Lead model governance workstreams, collaborate with researchers and engineers globally, present analytics to stakeholders and clients, and contribute to model validation, backtesting, and production deployment.
Top Skills: AladdinMachine LearningMatlabPythonR
18 Days Ago
Hybrid
New York, NY, USA
Senior level
Senior level
Financial Services
Analyze and manage Consumer & Community Banking interest rate risk and transfer pricing across deposits, cards, mortgages and loans. Maintain IRR models, perform scenario and sensitivity analysis, refine FTP methodologies, produce reports, and communicate recommendations to senior stakeholders. Leverage Python and statistical techniques, collaborate across teams, and support governance and regulatory requirements.
Top Skills: ExcelMatlabPowerPointPythonRVBA
20 Days Ago
Hybrid
New York, NY, USA
Senior level
Senior level
Financial Services
Partner with analytics teams to measure and improve marketing effectiveness; build AI-enabled detection and alerting solutions; translate business questions into analytical approaches; deliver actionable recommendations; own projects end-to-end and communicate insights to technical and non-technical stakeholders.
Top Skills: ChatgptClaudeCopilotPythonRegression AnalysisSQLVisualization Tools

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account