Associate Director, Quantitative Developer, FICC eTrading

 

 

 

Requisition ID: 192407

 Salary Range: 225,000.00 - 225,000.00 

Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.

 

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

 

Title: Associate Director, Quant Developer/Researcher - Fixed Income Electronic Trading, New York, NY

Global Banking and Markets 

Global Banking and Markets (GBM) is a leading Canadian Capital Markets and Investment Banking business with a growing platform in the US and Latin America, operating globally for over 100 years. Scotiabank’s strong U.S. presence provides our clients an important bridge to this key global market for trade and investment flows across the Americas and the world. 

Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.  

Be part of an innovative, Global Capital Markets and Investment Banking business with a unique geographic footprint that puts capital to work for our clients across industries!  We work together to drive ambition for every future! 

 

Purpose: We are seeking a talented Quant Developer/Researcher to join our dynamic team, focused on Fixed Income Electronic Trading. As a Quant Developer, you will play a crucial role in developing and maintaining sophisticated trading systems and strategies in Rates and Credit, utilizing your expertise in Scala and Python programming languages.

 

What You’ll Do 

• Collaborate with quant traders, research, and technology teams to design, develop, and enhance electronic trading platforms for Rates and Credit asset classes in Fixed Income.
• Implement and optimize algorithmic trading strategies, utilizing statistical and mathematical models.
• Identify and resolve complex technical issues related to trading systems, ensuring high system performance and reliability.
• Maintain and enhance existing software infrastructure, including code refactoring, documentation, and testing.
• Perform data analysis and develop risk management tools to monitor trading positions and market conditions.
• Stay updated with the latest trends and advancements in quantitative finance, electronic trading, and functional programming techniques.

 

What You’ll Bring 

• Strong proficiency in Scala, Python programming languages (C++ preferred but not required), with experience in developing large-scale systems.
• Solid understanding of functional programming concepts and hands-on experience with functional programming paradigms.
• Previous experience working in electronic trading in Finance, preferably Rates and Credit in Fixed Income, including familiarity with pricing models, risk management, and trading strategies.
• Knowledge of electronic trading protocols and market connectivity, such as FIX, API integration, and order routing.
• Proficiency in data analysis, utilizing tools like pandas and NumPy.
• Experience with Scala streaming libraries like Zio, Fs2, or Monix for developing scalable and resilient applications.
• Familiarity with the Cats functional library for building composable and expressive code.
• Familiarity with Beacon Platform is a plus.
• Preferred: 
  • Advanced degree (Master's or Ph.D.) in a quantitative field such as Computer Science, Mathematics, Finance, or related disciplines.
  • Familiarity with cloud technologies (e.g., AWS, Azure, or GCP).
  • Knowledge of machine learning & Bayesian techniques and libraries (e.g., TensorFlow, PyTorch) for developing predictive models.
  • Experience working with financial market data providers (e.g., Bloomberg, Reuters).
  • Experience with alpha-generation for algorithmic trading strategies

Interested?

At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That’s why we work to grow and diversify talent and engage employees in a performance-oriented culture. 

 

What's in it for you? 

Scotiabank wants you to be able to bring your best self to work – and life, every day. With a focus on holistic well-being, our many flexible