Top Tech Jobs & Startup Jobs in Mumbai

Early-career data scientist role to analyze user and content data, build metrics, design recommendation strategies (recall, ranking, cold-start, diversity), run A/B tests, evaluate experiments, explore LLM/multimodal applications, and improve data pipelines and feature logging.

Designs and develops content governance platforms, anti-abuse tools, rule engines, and scalable governance pipelines. Integrates recommendation systems, implements content takedown policies, and builds capabilities for content review, risk detection, policy enforcement, and effectiveness analysis. The role addresses spam, fraud, traffic diversion, low-quality content, and black- or gray-market activity while collaborating with product, operations, algorithm, and business teams.

Own the finance inventory platform roadmap and product lifecycle, including requirements, integrations, UAT, releases, troubleshooting, and data migrations. Build Python, SQL, VBA, dashboard, and low-code tools independently while automating finance workflows with AI, LLMs, copilots, and RPA. Lead ERP integrations, reconciliations, documentation, and scalable finance transformation initiatives while managing stakeholders across operations and senior leadership.

Conduct internal control reviews, identify risks, recommend improvements, support regulatory examinations and external audits, track remediation actions, maintain GRC systems, and improve control processes and documentation. The role partners cross-functionally to strengthen risk and control culture and requires expertise in SOX, ICFR, business controls, and IT controls.

Analyze traditional finance market data and competitive positioning to identify tokenisation opportunities. Develop pricing, market-entry, deal-structuring, and go-to-market recommendations; source and engage potential partners; manage deals from outreach through closing; negotiate partnership economics; and provide market intelligence to shape strategy. Collaborate with product, legal, compliance, engineering, data, and leadership teams to execute partnerships.

Manage financial, management, statutory, tax, and cash-flow reporting; prepare annual reports and statutory accounts; oversee reconciliations and compliance; liaise with auditors and advisors; and drive finance transformation through AI, automation, data analytics, and technology. Partner with systems, data, engineering, and business teams to implement scalable finance solutions and improve controls, efficiency, and accuracy.

Participate in developing and maintaining core products, documenting business interfaces, troubleshooting issues identified by QA, and supporting customer-service teams with problem resolution and system improvements. The role requires Java development, Spring microservices, database and middleware knowledge, strong communication, teamwork, and learning ability. Experience with Web3 projects is preferred.

Participate in developing and maintaining core products, compiling business-module interface documentation, troubleshooting issues identified by QA, and helping Customer Support resolve and categorize customer problems. The role is part of a 3–6 month early-career accelerator internship focused on blockchain and digital assets. Candidates should have strong Java, Spring microservices, database, middleware, communication, teamwork, and problem-solving skills.

Develops senior relationships with APAC regulators and government authorities, builds industry association presence, and coordinates local government relations agencies. Represents Binance in stakeholder meetings, gathers regulatory intelligence, manages vendor contracts and consultancy partnerships, oversees the function’s P&L and documentation, and partners with Legal and Policy teams. Requires government relations, public affairs, or policy advisory experience, strong stakeholder and commercial skills, vendor and budget management capabilities, and willingness to travel across APAC.

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.