Top Tech Jobs & Startup Jobs

The Data Analyst role focuses on data analysis, issue investigation, and building data pipelines to drive business recommendations and improvements through advanced analytics and visual reporting.

The DPM Equities Portfolio Manager is responsible for managing equity portfolios, enhancing returns, risk management, and effectively communicating investment strategies to clients and stakeholders.

Design, develop, and execute automated test plans and scripts for payments software. Collaborate with cross-functional teams to analyze requirements, perform root-cause analysis, support defect resolution, participate in code reviews, and continuously improve testing processes and tools.

Lead Mumbai Rates Strats/Structuring team to develop quantitative models, pricing and risk analytics for rates derivatives. Partner with trading, structuring, quants and tech to build dashboards, APIs and tooling, manage trade capture and lifecycle, support compression and capital optimisation, and ensure controls and stakeholder alignment.

Design, develop, and maintain scalable, secure full-stack applications. Collaborate with product, design, and engineering teams; participate in code reviews; implement secure coding and unit testing practices; and contribute to CI/CD and infrastructure improvements. Work primarily with Java/Spring backend and React frontend.

As a Senior Java Developer, you will design, develop, and enhance software solutions while collaborating with various teams to meet business objectives and ensure high-quality code development.

Responsible for designing and developing scalable software solutions and collaborating with cross-functional teams, while adhering to coding best practices and security measures.

As a Lead Data Engineer, you'll build and maintain data systems, ensure data accuracy, collaborate with data scientists, and advise on policy and operational effectiveness, all while leading a team in complex data architecture projects.

The Base24 Engineer designs and develops software solutions, focusing on payment systems and transaction processing, while ensuring code quality and collaborating cross-functionally to meet business objectives.

Design, build and maintain data pipelines, data warehouses and data lakes. Develop processing and analysis algorithms, collaborate with data scientists on ML deployments, lead/supervise teams, engage stakeholders, and ensure data security, quality and governance.