Our challenge

We are looking for someone who can Join dynamic team to develop innovative quantitative models that directly impact trading strategies, pricing accuracy, and risk management. Tackle large-scale financial datasets and leverage advanced analytics to stay ahead in the competitive capital markets.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Jersey City, NJ is$120k - $130k/year & benefits (see below).

The Role

Responsibilities:

• Build, test, and optimize quantitative models supporting trading, pricing, and risk.
• Develop robust Python-based analytics, integrating seamlessly with trading systems.
• Manage and analyse large datasets related to market, pricing, and risk.
• Collaborate with traders, quantitative analysts, and technology teams to implement solutions.
• Maintain and improve existing models and frameworks.
• Stay updated with latest financial theories, data science advancements, and market trends.

Requirements:

• Over 5 years of experience inPython development with a focus on object-oriented programming and data libraries.
• Proficiency in SQL (PostgreSQL/MySQL).
• Experience with REST APIs and microservices architecture.
• Exposure to Large Language Model (LLM)-assisted development is a plus.
• Strong knowledge of equities and capital markets.
• Excellent problem-solving skills and team collaboration capabilities.
• Bachelors or masters degree in finance, Computer Science, or related field.

Preferred, but not required:

• Hands-on expertise in SQL (PostgreSQL/MySQL) and working with large-scale financial datasets (market, pricing, risk).
  Experience building analytics, REST APIs, and microservices, with integration into trading systems.
  Good knowledge of Equities/Capital Markets, with ability to collaborate closely with traders, quants, and tech teams.
• Hands-on expertise in SQL (PostgreSQL/MySQL) and working with large-scale financial datasets (market, pricing, risk).
  Experience building analytics, REST APIs, and microservices, with integration into trading systems.
  Good knowledge of Equities/Capital Markets, with ability to collaborate closely with traders, quants, and tech teams.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the worlds leading tier-one banks, financial institutions and insurance firms.
• A flat and approachable organization.
• A truly diverse, fun-loving, and global work culture.