Top Tech Jobs & Startup Jobs

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.

Develop Python tools and full-stack workflows with quantitative researchers to evaluate and improve systematic trading strategies. Iterate rapidly on research processes, strengthen trading strategy performance, and gain exposure to large-scale systems, workflow orchestration, and production-grade software engineering in a collaborative quantitative finance environment.

Perform accounting close procedures, including adjusting entries and analytics; monitor global trading P&L; investigate cash and NAV reconciliation breaks; collaborate with operations and finance technology teams on process improvements; and assess finance processes while presenting recommendations to management.