- Work with quants to implement research, simulate trading strategies, and develop algorithms to compete in financial market
- Design trading strategy simulation software optimized for distributed computation
- Build industry-leading data models, APIs and standards for storing and accessing data
- Create automated ETL pipelines to support rapid but controlled transition from research to live trading
- A passion for working with complex data types and developing software to solve data processing challenges
- 3+ Years of experience in Python and the various tools and libraries (Pandas, NumPy, SciPy, Plotly) (Post-Graduation)
- Demonstrated ability to produce algorithmic code in a fast-paced environment
- Minimum Bachelor's degree in Computer Science or other STEM subject
- Great pay and bonus scheme
- Working in a small team of highly talented engineers & mathematicians
- Direct business impact
- Free food, smart offices, opportunities to learn new skills outside of work expertise
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Talent Pool: Software Engineer, Python
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Flow Traders New York, United StatesInterested in learning more about Flow Traders' Product Development team in New York and Chicago? Sign up below to be added to our Python Talent Pool We are always searching for talented engineers to join our growing organization.If we think your experience aligns with our team's ...
Front Office Python Engineer - New York, NY, United States - Acquire Me
Description
My client is a scientific, tech led quant fund looking to scale their fixed income and equities businesses, off the back of a number of successive years of exceptional performance.
The teams are close-knit groups of Researchers & Engineers who collectively utilize their skills in Modeling and Engineering to develop tools and infrastructure capable of deciphering bespoke sets of alternate, unstructured data and utilizing this to generate and execute on trading signals.
It's a fast-paced environment in a firm known for its ability to combine its vast knowledge of financial markets and technical prowess whilst creating a culture you'd see at a silicon valley tech firm.
Responsibilities
Requirements
Rewards and Incentives: