Jobs at Tower Research Capital

Develop and maintain automation, web applications, stream-processing systems, microservices, and databases supporting global electronic trading infrastructure. Collaborate on architecture, distributed systems, production reliability, and operational tooling. Participate in developer on-call rotations, document technical solutions, and independently deploy and manage applications in large-scale, 24/7 environments.

Operate and supervise automated trading strategies alongside quantitative traders and developers. Monitor production trading for risk, compliance, unusual behavior, and market conditions; troubleshoot daily trading issues; develop Python scripts and applications to automate trading infrastructure; analyze trades and market data; and support strategy improvements. The role requires an early-morning schedule aligned with market hours.

Supports daily PMO operations by consolidating project updates, maintaining RAID logs, building portfolio metrics and dashboards, and coordinating governance forums. Automates PMO workflows across Jira and Confluence using Python, develops lightweight internal tools, and manages documentation quality. Owns selected small-to-medium projects, coordinating stakeholders across engineering, business, and operations while tracking risks, dependencies, milestones, and delivery progress.

Develop Python tools for quantitative trading research, improve simulation and backtesting frameworks, collaborate with quantitative researchers to enhance trading strategies, and support EMEA-focused research. The intern will work with distributed global teams and gain exposure to large-scale systems, workflow orchestration, and production-grade software engineering practices.

Designs, supports, monitors, troubleshoots, and optimizes high-performance, low-latency network infrastructure across co-location, data center, and office environments. Responsibilities include routing, switching, multicast, security, circuit migrations, market connectivity testing, infrastructure moves, vendor coordination, documentation, automation, and on-call network maintenance.

Support operational and trading analytics by collecting, preparing, and analyzing data; build dashboards and reports; perform data quality checks and trade lifecycle analysis; automate reports and workflows using SQL/Python/Excel/BI tools; document processes and collaborate to improve controls and data governance.

Manage end-to-end payroll for India and APAC, ensure tax filings and labor law compliance, produce payroll and benefits reports, maintain GL reporting, support onboarding/offboarding and benefits administration, liaise with vendors and global team, and drive payroll/benefits process controls and analytics.

The Reliability Engineer III will provide technical support for trading applications, automate processes for reliability, and monitor system health while engaging with trading teams.

Provide real-time risk oversight for electronic trading and market risk, maintain risk and stress-test frameworks, monitor/resolve trading risk issues, support limit governance, back-testing, and collaborate with traders, PMs, engineering, and operations to improve controls and automation.

Manage end-to-end monthly multi-country payrolls for India and APAC, ensure tax and labor law compliance, produce payroll and benefits reports, coordinate with HR and vendors, maintain data integrity, support benefits enrollment and analytics, and serve as primary employee contact for payroll and benefits inquiries.

The Low Latency Software Developer designs, develops, and implements high-performance trading systems while collaborating with global teams to solve trading challenges.

Develop options pricing and risk models, improve volatility valuation, research volatility alphas, collaborate with traders, and mentor junior staff.

Manage end-to-end monthly payroll and benefits across India and APAC (SG, CN, HK, AU, JP). Ensure compliance with local labor and tax laws, produce payroll/benefits reporting and reconciliations, liaise with vendors and global teams, support onboarding/offboarding, assist benefits enrollment and audits, and maintain data integrity.

Develop and improve the core Python data science platform for trading research, manage data, build ETL pipelines, and automate support workflows.

Supports day-to-day trading business operations, expands participation across crypto exchanges and liquidity venues, manages relationships with exchanges and financial counterparties, researches market trends and competitive intelligence, and maintains administrative records supporting trading activity.

Build and evaluate multi-agent AI systems, agentic coding tools, and statistical and machine learning models. Contribute to MLOps practices for deploying, monitoring, and maintaining production models. Analyze model performance through experiments and testing, and optimize or fine-tune existing models. The internship requires strong Python, Linux, SQL, Git, and Bash skills, plus experience with modern agentic AI tooling and machine learning frameworks.

Develop scalable data pipelines and deep learning systems for quantitative trading. Build, deploy, optimize, and monitor large-scale machine learning models, including sequence and time-series models. Manage agentic workflows and MLOps processes for production model deployment and continuous improvement. Collaborate in a high-performance engineering environment focused on low-latency infrastructure, machine learning, and advanced trading technology.

Design AI systems that automate fundamental equity research, analyze financial data to generate earnings predictions and price targets, and integrate fundamental insights into systematic trading strategies. The role researches industry sectors, optimizes AI workflows, and supports iterative testing of fundamentally driven strategies. Candidates need finance or related education, at least two years of fundamental equity analyst experience, strong financial modeling skills, and the ability to translate investment insights into systematic strategy inputs.

Lead and deliver firm-wide, cross-functional technology and business initiatives. Manage multiple global projects end-to-end: planning, resource allocation, budgets, risk mitigation, stakeholder communication, technical decision-making, PMO standardization, reporting, and prioritization of technical debt. Drive coordination across engineering, trading, risk, compliance, finance, and operations.

Support day-to-day business operations for Americas securities trading, expand exchange and liquidity participation, manage bank/venue/broker relationships, execute strategic priorities, perform market and regulatory research, and maintain administrative records to support trading.