Senior Quantitative Developer Jobs in Secaucus, NJ

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 play a key role in enhancing CP+ by leveraging MarketAxess' proprietary data and your expertise in quantitative modeling, machine learning, and fixed income markets. You will own high-impact pricing models from research through production, working closely with product and engineering partners to improve transparency, efficiency, and competitiveness in bond trading. Will you Take Us There?

• Build and own CP+ quantitative pricing models, enhancing existing approaches and developing new methodologies.
• Apply advanced statistical and machine learning techniques to improve fixed income pricing accuracy and analytics.
• Analyze corporate bond market data and microstructure to uncover insights that inform pricing and trading decisions.
• Partner with product and engineering teams to deliver scalable, production-ready quantitative solutions.
• Drive the expansion and optimization of CP+ analytics, leading initiatives across pricing and trading tools.
• Collaborate with client and dealer sales teams to deliver tailored insights that enhance execution outcomes.
• Contribute to market thought leadership, producing research that shapes understanding of evolving fixed income markets.

• 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.
• Proficiency in using GenAI tools for coding augmentation, analytics, model experimentation and AI-assisted validation of research outputs.
• Deep understanding of fixed income market dynamics and ability to apply quantitative techniques to solve real-world trading problems.
• Keen 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.
• Well-organized, team-oriented, intellectually curious, and proactive.

• 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 MarketAxess 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.

MarketAxess 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.