Job summary
Job post source
This job is directly from Tower Research Capital
Job overview
The Software Engineer, C++ (New Grad) role at Tower Research Capital involves developing and optimizing electronic trading systems to support the firm's quantitative trading strategies.
Responsibilities and impact
The candidate will optimize systems for low latency, design and build data collection and analysis systems, develop data pipelines, build algorithmic trading systems, and create automation solutions to enhance trading operations.
Compensation and benefits
The position offers an anticipated annual base salary range of $150,000-$180,000 plus discretionary bonuses, with benefits including generous paid time off, financial wellness tools, hybrid work options, free meals, wellness reimbursements, sports teams, volunteer opportunities, social events, and continuous learning workshops.
Experience and skills
Candidates should have a Bachelor's, Master's, or PhD in computer science or related field, 0-1 years of experience, proficiency in C++, knowledge of SQL and Linux, strong problem-solving and communication skills, and a passion for new technologies; past industry experience is a plus.
Career development
The company offers continuous learning opportunities and workshops to support professional growth.
Work environment and culture
Tower Research Capital fosters a collaborative, ego-free, and friendly culture with an open concept workplace, casual dress code, and emphasis on respect and teamwork.
Company information
Tower Research Capital is a leading quantitative trading firm founded in 1998, known for its high-performance platform, innovation, and global presence with over a dozen offices worldwide.
Job location and travel
The job is based at Tower's headquarters in the Equitable Building in NYC's Financial District with hybrid working opportunities.
Unique job features
The role involves working on cutting-edge electronic trading infrastructure including low-latency programming, FPGA technology, hardware acceleration, and AI-assisted automation solutions.
Company overview
Tower Research Capital is a leading quantitative trading firm that specializes in developing proprietary trading algorithms and strategies to capitalize on market inefficiencies. Founded in 1998 by Mark Gorton, the company leverages cutting-edge technology and data analysis to execute trades across various asset classes, including equities, futures, options, and cryptocurrencies. Tower Research Capital generates revenue through high-frequency trading, market making, and providing liquidity to financial markets. Known for its innovative approach and robust infrastructure, the firm has a significant presence in global financial markets and offers a dynamic environment for professionals in finance, technology, and quantitative research.
How to land this job
Tailor your resume to emphasize your proficiency in C++, object-oriented programming, and experience or coursework related to low-latency systems and network programming, as these are core to Tower Research Capital's engineering challenges.
Highlight any projects or internships involving data pipelines, SQL databases, Linux environments, or automation solutions to align with the job's focus on building and optimizing trading infrastructure.
Apply through multiple channels including Tower Research Capital's official careers page and LinkedIn to maximize your chances of visibility and consideration for the Software Engineer, C++ (New Grad) role.
Connect on LinkedIn with current engineers or recruiters in Tower's quantitative trading or engineering divisions; start conversations by referencing recent Tower innovations, expressing enthusiasm for their low-latency trading platform, or asking about their experience working on FPGA or AI-assisted automation.
Optimize your resume for ATS by incorporating keywords from the job description such as 'C++', 'low-latency programming', 'network programming', 'Linux', 'SQL', and 'automation', ensuring your resume passes initial automated screenings.
Use Jennie Johnson's Power Apply feature to automate the tailored resume submissions, identify multiple application portals, and find relevant LinkedIn contacts, freeing you to focus on interview preparation and skill development.
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