Quantitative/Data Developer - Fixed Income

Susquehanna International Group, LLPBala Cynwyd (Philadelphia Area), PA
11d

About The Position

Susquehanna is seeking a Quantitative Developer with experience in Python to join our Fixed Income Technology Team. This team focuses primarily on trading interfaces and technologies to empower the sales desk. You’ll work alongside traders, quant analysts, and other technology teams to create, maintain, and enhance our proprietary trading systems. In this role, you will: Design and create proprietary software to handle mission critical trading demands, including but not limited to market data, quoting, pricing, risk, and P&L. Work closely with traders and analysts to understand and iterate on requirements. Work closely with various technology teams to deliver efficient and scalable solutions in a fast paced environment, which directly impacts production systems.

Requirements

  • At least 3 years of experience developing data tools and applications in Python is required.
  • Experience with the Python data science stack: NumPy, Pandas etc. and/or other array-oriented programming environments.
  • Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers is required.
  • Minimum Bachelor’s degree in CS, applied science, or similar preferred, advanced degree a plus.

Nice To Haves

  • Prior experience in a Quant Developer role, with the ability to understand financial models and mathematical algorithms, preferred.
  • Interest in areas such as capital markets, probability, game theory and the application of IT solutions to these areas is a plus.

Responsibilities

  • Design and create proprietary software to handle mission critical trading demands, including but not limited to market data, quoting, pricing, risk, and P&L.
  • Work closely with traders and analysts to understand and iterate on requirements.
  • Work closely with various technology teams to deliver efficient and scalable solutions in a fast paced environment, which directly impacts production systems.
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