Quantitative Developer, Python
Company websitetower-research.com (Tower Research Capital, opens in new tab)
Base salary $150K to $200K
Employer-published annual base salary, USD. Advertised base range in New York, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.
Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization.
Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.
At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.
At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.
Tower is seeking a Software Developer to join one of its trading teams in New York. You will be joining the US Development team and will be in charge of improving the current research framework through the development of existing and new tools, and provide close day-to-day support to the quantitative research team on-site.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). A Master's degree is preferred
- Strong knowledge and hands-on experience in Python
- Experience in C++ Development
- Minimum 3 years experience of production Python development
- Experience with statistical libraries like Numpy, Pandas, and Polars
- Strong problem-solving skills and the ability to work in a fast-paced, collaborative and geographically distributed environment
- Excellent communication and teamwork abilities
- Experience with scripting languages such as Bash
- Experience with workflow management and task scheduling
- Good knowledge of both Equities and Equity Derivatives trading
Anticipated New York annual base salary of $150,000-$200,000, plus eligible for discretionary bonus
Benefits
Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.
At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.
Our benefits include:
- Generous paid time off policies
- Savings plans and other financial wellness tools available in each region
- Hybrid working opportunities
- Free breakfast, lunch, and snacks daily
- In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
- Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
- Volunteer opportunities and charitable giving
- Social events, happy hours, treats, and celebrations throughout the year
- Workshops and continuous learning opportunities
At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance
Source: Tower Research Capital on Greenhouse · View original posting (opens in new tab)
This listingQuantitative Developer, Python$150K to $200K
Senior Systems EngineerFrom $150K
Senior Project Manager$150K to $200K
Software Engineer, Machine Lifecycle$150K to $250K
Data Analyst$150K to $180K
Software Engineer$130K to $170K
HPC Operations Engineer$175K to $225K
Chart as a table
| Role | Published base |
|---|---|
| Quantitative Developer, Python (this listing) | $150K - $200K |
| Senior Systems Engineer | From $150K |
| Senior Project Manager | $150K - $200K |
| Software Engineer, Machine Lifecycle | $150K - $250K |
| Data Analyst | $150K - $180K |
| Software Engineer | $130K - $170K |
| HPC Operations Engineer | $175K - $225K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2024-11-08
Where this pay comes from
Location as the employer wrote it: New York
Anticipated New York annual base salary of $150,000-$200,000, plus eligible for discretionary bonus
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
