Top Tech Jobs & Startup Jobs in Pune

Provides data-led compliance risk oversight for a banking organization. Responsibilities include identifying and investigating market abuse, financial crime, money laundering, and regulatory breaches; challenging corrective actions; developing policies and controls; analyzing complex information; and collaborating with Compliance, Legal, risk functions, and business teams. The role also advises stakeholders, supports governance, and may lead or coach team members.

Negotiates, drafts, reviews, and executes financial markets agreements, including ISDA, GMRA, GMSLA, and related collateral documentation. Coordinates with legal, credit risk, sales, trading, treasury, tax, and onboarding teams; conducts due diligence; advises on regulatory requirements; manages transaction processes, risk controls, and documentation portfolios; and supports process improvement and project delivery.

Leads investigations into potential non-compliance, fraud, misconduct, and unethical conduct within the bank. Evaluates risks, develops mitigation strategies, documents findings, recommends corrective actions, provides compliance training, uses technology and data analytics, and fulfills regulatory reporting obligations. Advises senior stakeholders, strengthens controls, manages risk, and may lead teams or serve as a subject matter expert on complex investigations.

Lead platform engineering for Reference Data Services, developing and scaling cloud and on-premise infrastructure for front-office developers. Responsibilities include hands-on Python software and data engineering, AWS platform development, secure coding, testing, stakeholder collaboration, technical strategy, risk management, and supporting a small engineering team. The role also involves guiding technical direction, mentoring engineers, optimizing platform costs, and integrating cloud services with Hadoop and Kubernetes environments.

The AI Data Scientist will analyze data using machine learning to provide insights for decision-making and improve operational efficiency, as well as lead and mentor teams in AI initiatives.

Perform advanced analytics on large datasets, design and build automated data pipelines, investigate data quality and lineage, and create interactive dashboards. Translate insights into actionable campaign and process recommendations, partner with stakeholders and support campaign delivery and BAU operations.

Build and maintain reliable, scalable, and secure messaging infrastructure, including Exchange Online, hybrid deployments, SMTP gateways, identity management, and directory services. Automate operational processes with PowerShell and Python, integrate APIs, monitor infrastructure, resolve incidents, implement cloud security controls, and collaborate with product, architecture, and engineering teams. The role also supports compliance and journaling solutions and contributes to technical governance and continuous improvement.

Leads compliance assurance across the bank by developing risk-based annual plans, evaluating compliance controls and processes, identifying weaknesses, communicating assurance findings, and strengthening risk governance. The role partners with stakeholders across the three lines of defence, applies data analytics to improve assurance coverage, advises senior leaders, manages risk, and coaches colleagues while driving continuous improvement.

Oversee prudential regulatory reporting risk, controls, governance, and compliance for a bank. Prepare and review regulatory reports, analyze regulatory data, strengthen internal controls, train employees, liaise with regulators, and manage regulatory reporting systems. The role leads or guides teams, advises stakeholders, supports policy development, and drives risk mitigation across the organization.

Build and maintain cloud data architectures, ETL pipelines, data warehouses, and data lakes. Develop scalable processing and analysis algorithms, ensure data quality, security, governance, and accessibility, and collaborate with data scientists to deploy machine learning models. The role requires advanced SQL, cloud platforms, big data technologies, dimensional modeling, automation scripting, and enterprise ETL experience. It also involves technical problem-solving, stakeholder communication, risk management, and potentially leading a team.