Requirements:

• Degree in a STEM subject with evidence of independent work either from work experience, Masters, or PhD.
• 4+ years professional experience in Python with practical experience solving programming problems through algorithm design.
• 3+ years hands-on experience working with data manipulation libraries (e.g. Pandas, Polars, PySpark).
• Experience working in a Linux environment.
• A desire to work closely with Researchers and accelerate their research.
• The ability to self-manage, self-motivate, and seek process improvement opportunities.
• Strong interpersonal and communication skills that enable you to collaborate effectively in a quantitative domain.
• Attention to detail and ability to react to changing priorities.
• A general interest in quantitative trading.

What You'll Be Doing:

• Member of the Quantitative Engineering and Data group
• Responsible for enabling research and trading activities using a range of data science, analysis, and engineering skills.
• Write, test, and deploy Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration.
• Partner with researchers on revenue generating projects taking on coding tasks that optimise project delivery.
• Develop expertise in Susquehanna’s systems and business.

Nice to Haves:

• Experience in a Linux environment.

Perks and Benefits:

• An intellectually driven and highly collaborative culture
• Opportunity to design and deploy impactful strategies in a systematic trading environment
• Application of machine learning and advanced quantitative research to uncover actionable insights
• Equal opportunity employer