Options Quantitative Python Developer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Overview
Overview
Susquehanna International Group (SIG) is seeking a Software Engineer to join the Electronic Options Trading Technology this role you will work with Quantitative Research and Trading to rapidly iterate and deliver trading signals tools and strategies used by the Options trading desk across APAC markets.This technology role is uniquely positioned at the intersection of quant studies and trading requiring close collaboration between these domains.
The successful candidate should have a proven track record of designing developing and implementing client/server applications using Python as a primary development language. Taking projects through the entire software development cycle from requirements gathering to production release. Collaborating closely with core development/engineering teams as well as quants and traders on various aspects of quantitative analysis trading strategy and signal development.
Team: APAC Electronic Options Trading Technology
What you can expect from us:
Real Impact: With innovative engineering ideas we design and optimize systems that can process massive amounts of data while still ensuring high performance and stability. Youll see how your contributions towards developing and supporting leading-edge software technologies make a firm-wide impact that makes us all smarter faster and better.
Collaboration: You will partner closely with our Trading Quantitative Researchers Infrastructure and Strategy Developer Teams to develop and manage scalable and highly performant systems to support trading in the region.
Growth: Were looking for people who are naturally curious relentless problem solvers and have the desire to continuously innovate learn and grow.
Benefits: SIG offers a wide array of competitive employee perks & benefits.
What were looking for
- 3-5 years of experience in software development in an object-oriented (OO) language such as Python C# Java or C
- 2 years in backend systems level development in Python. Experience with C is a plus
- Strong verbal communication skills and the ability to deal effectively with both technical and non-technical teams
- Eagerness to learn about both the business and technology aspects of trading
- Minimum of a Bachelors degree in Computer Science Engineering Mathematics or a related discipline
- Knowledge of financial markets and derivatives products.
About SIG:
SIG is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. We have incorporated this approach into our culture where you will find relentless problem solvers within each of our core disciplines: Trading Technology and Quantitative Research. From offices around the world our employees collaborate to make optimal decisions and are driven by the desire to achieve winning results together.
What we do:
We are experts in trading essentially all listed financial products and asset classes with a focus on derivatives trading. Through market making and market taking we handle millions of trading transactions around the world every day providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad our trading desks are highly specialized allowing for a deep understanding of unique drivers of each asset class.
Equal Opportunity Statement
We encourage applications from candidates from all backgrounds and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities.
If youre a recruiting agency and want to partner with us please reach out to . Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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Key Skills
- APIs
- Docker
- Jenkins
- REST
- Python
- AWS
- NoSQL
- MySQL
- JavaScript
- Postgresql
- Django
- GIT
About Company
Discover Susquehanna, a global quantitative trading firm built on a rigorous, analytical foundation in financial markets.
