About the role

Quantitative Developer building and optimizing trading models with data analysis for market strategies. Collaborating with traders and quantitative analysts in a multinational consulting firm.

Responsibilities

Design, test, and optimize quantitative models supporting trading, valuation, and risk management.
Develop robust analyses in Python, integrating seamlessly with trading systems.
Manage and analyze large datasets related to market data, valuations, and risk.
Collaborate closely with traders, quantitative analysts, and technical teams to implement effective solutions.
Maintain and improve existing models and frameworks.
Stay up to date with the latest financial theories, advances in data science, and market trends.

More than 5 years of Python development experience, with a strong object-oriented focus and mastery of data libraries.
Proficiency in SQL (PostgreSQL/MySQL).
Experience with REST APIs and microservices architecture.
Exposure to LLM-assisted development is a plus.
Strong knowledge of equity markets and capital markets.
Excellent problem-solving skills and the ability to collaborate in a team.
Bachelor’s or Master’s degree in Finance, Computer Science, or a related field.

A multinational organization with 60 offices in 20 countries and opportunities to work abroad.
15 days (3 weeks) of annual paid vacation plus 10 personal days and additional sick days.
A comprehensive insurance package including medical, dental, vision, life insurance, and long-term disability.
Flexible hybrid work policy.
RRSP (Registered Retirement Savings Plan) with employer contribution up to 4%.
Tuition and certification support policy.
Udemy On-Demand for all Synechron employees with free access to over 5,000 curated courses.
Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Centers of Excellence (CoE).
Cutting-edge projects with top-tier banks, financial institutions, and insurance companies worldwide.
A truly diverse, vibrant, and global work culture.