Senior Quant Researcher

The Role

Our Quant Research team spans the U.S. and Europe and is responsible for building cutting‑edge analytics, pricing algorithms, and quantitative trading solutions. We work at the intersection of data science, market microstructure, and financial engineering to deliver high‑impact tools for our clients.

As a Senior Quant Researcher, you will develop data solutions that power both our trading and data businesses, leveraging Market Axess' proprietary platform data. You will help build out our suite of products including data analytics, and other AI‑driven solutions that address key trading decisions:
What, How and When to trade, as well as Who to trade with. Your work will be a combination of long‑term and immediate impact projects, with the goal of making the fixed income trading landscape more efficient, transparent, and competitive. Will you Take Us There?

• Analyze corporate bond market activity and microstructure to extract actionable insights.
• Own and enhance existing research models and design new ones from the ground up.
• Collaborate with global product and engineering teams to deliver scalable, data‑driven solutions.
• Contribute to thought leadership in pricing analytics and market behavior.
• Lead the development and expansion of our quant solutions.
• Partner with the Market Axess Global Client and Dealer Sales teams to provide tailored data insights that enhance trading execution for clients and dealers.

• 5+ years of experience as a quantitative researcher within financial services.
• Proficiency in programming languages and tools commonly used for quantitative analysis and data manipulation, such as R, Python, and SQL.
• Deep understanding of fixed income market dynamics and ability to apply quantitative techniques to solve real world trading problems.
• High Interest in quantitative research and pricing models.
• Experience applying advanced Machine Learning and AI techniques (Deep Learning, Tree based models, Reinforcement Learning).
• Undergraduate or Masters’ Degree in a quantitative field (science, engineering, mathematics, or statistics is preferred).
• Strong written and verbal communication skills.
• Highly analytical, flexible, and creative problem solver.
• Well‑organized, team‑oriented, intellectually curious, and proactive.
• Proficiency in using GenAI tools for coding augmentation, analytics, model experimentation and AI‑assisted validation of research outputs.
• Familiarity with cloud computing platforms like AWS and data visualization tools like Tableau is also highly desirable.

• Hybrid Environment:
  Our employees enjoy a mix of working in the office and from home
• Free Food:
  We provide free lunch for employees when they are working in the office. Plus, our offices are stocked with snacks
• Paid Time Off:
  Competitive PTO package including vacation and personal days, sick leave and charity days
• Generous Parental Leave:
  Up to 20 weeks fully paid leave
• 401(k):
  Dollar‑for‑dollar employer match up to $17,500
• Employee Stock Purchase Plan:
  Employees can purchase Market Axess common stock at a discount
• Wellness Stipend:
  We provide employees with up to $1K annually towards gym memberships, home office equipment and more
• Onsite Healthcare:
  We offer convenient access to world‑class care through Mount Sinai at our Hudson Yards location
• Tuition Assistance and Professional Development:
  Benefit from live and on‑demand learning, role‑specific training, employee‑led Lunch and Learns and guest speakers
• Core benefits:
  Highly competitive medical, dental, and vision programs

For job positions in NYC, NY, and other locations where required, the estimated salary range for a new hire into this position is $150,000 USD to $225,000 USD. Actual salary may vary depending on job‑related factors, which may include knowledge, skills, experience, and location. You may also be eligible for annual cash incentives, equity, and other benefit programs.

Market Axess Corporation and its affiliates provide equal employment opportunities to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, veteran status, or any other legally protected characteristic in the location in which the candidate is applying.

All of your information will be kept confidential according to EEO guidelines.