Top Data & Analytics Jobs in Bengaluru, KA

The Business Analysis & Analytics Manager role at JPMorgan Chase involves supporting the execution of key data strategies, managing home grown tools and dashboards, developing new products, translating complex business requirements, performing quality assurance testing, and supporting data solutions lifecycle.

Client Data Analyst responsible for acquiring, managing, and retaining relationships to deliver outstanding customer experience. Duties include understanding and implementing KYC standards, handling client documentation, collecting and verifying data, and reviewing processes to meet quality standards. Bachelor's or Graduate Degree required with knowledge of KYC and 0-12 months of relevant experience. Strong research and analytical skills, client focus, adherence to compliance standards, and teamwork are essential. Opportunity to work with JPMorgan Chase & Co., a leading financial institution providing innovative solutions globally.

Seeking a Data Scientist Associate Sr - Machine Learning Engineer with strong programming skills in Python, Java, and JavaScript. Responsibilities include data manipulation, building statistical models, developing custom ML models, data wrangling, database management, and analyzing data from company databases to drive optimization and improvement of business strategies.

As an Applied AI/ML Senior Associate, you will collaborate with various teams to design and develop data science solutions, focusing on Legal Knowledge Management, Contract Analysis, and more. Your responsibilities include data wrangling, analysis, modeling, and advising on optimal solutions. You will work on strategic projects and enhance the firm's bottom line by developing data-centric solutions.

As an Applied AI/ML Senior Associate, you will apply your quantitative, data science, and analytical skills to complex problems. Responsibilities include data wrangling, analysis, modeling, and providing insights on challenger models. Engage with stakeholders, develop AI/ML solutions, and collaborate with teams to enhance business outcomes.

As an Associate in the Fraud Risk Strategic Analytics team, responsible for developing analytics and recommendations for strategy development, operational controls, and performance monitoring. Collaborate with various teams to minimize fraud risks and losses. Required qualifications include a Bachelor's/Master's degree in a quantitative or business discipline, 7 years of experience in Risk Management, and strong analytical skills in SQL, SAS, and risk analytics techniques.

Join a dynamic team shaping the tech backbone of our operations, troubleshooting and maintaining production application flows to ensure operational stability and performance. Analyze, monitor, and improve system functionality through observability tools and ITIL framework. Collaborate with stakeholders to resolve production service interruptions and drive continuous improvement in full stack technology systems.