Overview
On Site
Full Time
Skills
Front office
Fixed income
Unstructured data
Data processing
Computer science
Python
Strategy
Quantitative Analysis
Equities
Modeling
Trading
Finance
Research
Algorithms
Design
Simulation
Leadership
Data
Extract
transform
load
Pandas
NumPy
Plotly
Scheme
Management
IMPACT
Job Details
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:
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
- 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
Requirements
- 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
Rewards and Incentives:
- 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