Top Tech Jobs & Startup Jobs in Mumbai

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

Review individual and corporate client onboarding inquiries, conduct KYC/KYB due diligence, assess risks, perform trigger reviews and enhanced due diligence, identify and escalate AML flags, obtain supporting evidence, and coordinate with compliance, product, front-office, and regional stakeholders. Provide customer support through ticketing and live chat while managing workloads, documentation, escalations, training, and knowledge sharing.

Own and optimize Greenhouse and recruiting system operations, including job setup, workflows, permissions, templates, data integrity, reporting, dashboards, and process automation. Partner with recruiters, TA leadership, HRIS, and other stakeholders to troubleshoot issues and improve systems and processes. Independently manage recruiting operations projects from scoping through implementation, while providing insights into hiring activity and operational performance.

Internship supporting marketing and business development operations: manage partner relationships, assist in planning and executing marketing campaigns, conduct market and partnership analysis, monitor campaign performance, collaborate cross-functionally, maintain campaign/tracking tools, and improve workflows using AI.

Design, develop, and optimize highly reliable, scalable backend services and APIs. Monitor performance, identify bottlenecks, and implement system-level optimizations for high-throughput environments. Build asynchronous and multithreaded systems using Rust or C++, deploy production software on Linux, and collaborate cross-functionally on complex technical challenges. Experience with trading systems, databases, and financial or security-constrained systems is advantageous.

Own the PMO for Binance’s Traditional Finance expansion, managing integrated plans, dependencies, executive reporting, market launches, vendor partnerships, launch readiness, risks, and cross-functional delivery across product, engineering, legal, compliance, finance, and risk teams.

Leads Binance’s market data function for its Traditional Finance expansion. Owns strategy, sourcing, licensing, vendor negotiations, integration, governance, entitlements, data quality, lineage, compliance, and budget management. Partners with product, engineering, legal, finance, exchanges, and vendors to build scalable market data infrastructure. Builds and mentors a team while serving as the internal expert on market data and market structure.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Leads finance transformation by owning core financial processes, modernizing ERP and planning systems, deploying AI and automation, partnering with engineering and data teams, redesigning workflows, establishing controls, and driving organizational adoption. The role requires senior finance leadership, strong systems expertise, hands-on AI transformation experience, process governance, and the ability to translate between finance and technology.

Internship QA Engineer supporting Binance’s compliance and digital finance products. Responsibilities include understanding business and technical scenarios, designing and reviewing test cases, executing functional and regression testing, tracking defects, and developing automation scripts. Requires hands-on Java coding, MySQL familiarity, QA methodology knowledge, analytical and troubleshooting skills, communication, and a five-day-per-week commitment.