Jobs › Companies › Walleye Capital Full Time › Quantitative Researcher, Equity Volatility

Über diese Quantitative Researcher, Equity Volatility Stelle bei Walleye Capital Full Time

Walleye Capital Full Time · Vor Ort · New York, New York

Firm Overview

Walleye Capital is a $17 billion+ multi-strategy investment firm headquartered in New York City, with over 400 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Volatility, Fundamental Equities, and Quant strategies.

At Walleye, we continuously innovate by focusing on three core principles: approach, platform, and people. Our approach is to allocate risk capital where we believe there is not only a compelling opportunity, but also a clear ability to define our tangible edge. We seek to leverage the mathematical benefits of diversification while utilizing sophisticated infrastructure, technology, and our balance sheet to do so in a structurally advantageous way. Our platform, developed over two decades, is central to our operations, evolving alongside business complexities and technological advancements to support our team’s success. Our people are our greatest asset, and we’ve cultivated an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity.

Quantitative Researcher, Equity Volatility 

We are seeking a Quantitative Researcher with a focus on equity derivatives to join our team. The ideal candidate will possess a strong background in derivative pricing models and have a deep understanding of the financial markets. This role involves working with both existing and new models, as well as related tools, to support our volatility trading business.

Responsibilities:

  • Model development: Build and maintain pricing and analytics tools for a variety of volatility products.
  • Technical support: Provide front-line support for users of the available tools and models.
  • Data analysis: Utilize and extend rich data sets to identify further improvements.

Qualifications:

  • Degree in quantitative fields such as Finance, Mathematics, Statistics, Physics, or Engineering.
  • Hands-on work with derivative pricing models, preferably in a high-performance trading environment.
  • Proficiency in financial modeling and quantitative analysis, particularly related to equity derivatives.
  • Experience with programming languages such as Python, R, Java, or C++.
  • Strong analytical skills and the ability to work with complex data sets.
  • Excellent problem-solving abilities and attention to detail.
  • Knowledge of pricing exotic options and fitting market data is highly valued but not mandatory.

Base salary: $125,000 – $175,000 plus a competitive bonus and comprehensive benefits package.

Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. 

If you require a reasonable accommodation to participate in any part of our hiring process, please contact [email protected]

Personal data you provide will be processed in accordance with Walleye Capital LLC’s Privacy Notice available at: https://www.walleyecapital.com/

 

Bereit, sich bei Walleye Capital Full Time zu bewerben?
Bei Walleye Capital Full Time bewerben

Über Walleye Capital Full Time

To express interest in a full-time opportunity with Walleye, please submit your resume to the department(s) that align with your experience and interests. 

Alle Jobs bei Walleye Capital Full Time ansehen →

Ähnliche Jobs

Point72
Quantitative Researcher - Machine Learning
Point72
⚡ Früh bewerben New York, London, or Hong Kong Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Tg.
Point72
Trader/Quant Analyst
Point72
⚡ Früh bewerben Stamford, New York Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Tg.
Point72
Quant Library Developer, Macro Technology
Point72
⚡ Früh bewerben New York; London Vor Ort $200,000–$300,000
● Neu 👁 Gesehen ✓ Beworben vor 1 Tg.
Arta Finance
Senior Quant Research Engineer, Trading & Portfolio Optimization
Arta Finance
⚡ Früh bewerben Bay Area Hybrid $150,000–$250,000
● Neu 👁 Gesehen ✓ Beworben vor 15 Std.
Enza Zaden
Senior Researcher Seed Production
Enza Zaden
⚡ Früh bewerben Enkhuizen Seed Operations Vor Ort €51,700–€73,700
● Neu 👁 Gesehen ✓ Beworben vor 15 Std.
Cobalt
Associate Security Researcher
Cobalt
⚡ Früh bewerben Remote · standortgebunden $55,000–$70,000
● Neu 👁 Gesehen ✓ Beworben vor 17 Std.
Krea
ML Researcher - Image / Video Diffusion
Krea
⚡ Früh bewerben San Francisco Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 19 Std.
Krea
ML Researcher - Posttraining
Krea
⚡ Früh bewerben San Francisco Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 19 Std.
Quince
Senior/Staff Applied AI Researcher, Growth
Quince
⚡ Früh bewerben Palo Alto, California, United... Vor Ort $213,000–$285,000
● Neu 👁 Gesehen ✓ Beworben vor 20 Std.

Registrieren für Vorschläge, die auf die von Ihnen geöffneten Jobs und gespeicherten Suchen zugeschnitten sind.

Mehr Jobs bei Walleye Capital Full Time

Alle Jobs bei Walleye Capital Full Time ansehen →

Jetzt bewerben
🤖

Moment — langsam

JobsRadar wurde für echte Menschen gebaut, die eine schwere Zeit bei der Jobsuche haben — nicht für automatisierte Anfragen. Sie klicken viel zu schnell und sind jetzt vorübergehend blockiert.

Kommen Sie später wieder. Wenn Sie wirklich auf Jobsuche sind, stehen wir hinter Ihnen — verhalten Sie sich einfach wie ein Mensch.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Verschaffe dir einen Vorsprung bei der Jobsuche.

Tritt unserem Telegram-Kanal bei für das, was dir hilft, die Stelle zu bekommen — Gehaltsbenchmarks, den wöchentlichen Marktpuls und neue Feature-Drops. Kein Spam, nur Signal.

Dem Kanal beitreten — kostenlos