Top Software Engineer Jobs in Bengaluru, KA

As a Data Management Associate, you will be responsible for the end-to-end data journey, from sourcing new data feeds to building data quality rules and coming up with creative solutions. Key responsibilities include evaluating user cases, managing the innovation life cycle of data quality tools, and ensuring effective communication with stakeholders.

Seeking an Associate for Market Risk ADTV Data team in Mumbai to analyze and verify ADTV data for concentration risk and liquidity add-on calculations. Responsibilities include data analysis, quality metrics, onboarding new ADTV sources, and collaborating with internal stakeholders. Candidate must have a degree in STEM or Finance, knowledge of market risk concepts, proficiency in Excel, statistical analysis experience, and excellent communication skills. Preferred qualifications include Python experience and CFA/FRM qualifications.

As an Associate - RPA and BI Developer, you will design and develop process automation, analyze business processes, identify automation opportunities, develop data mining queries, and use scalable automation solutions for data preparation. Required qualifications include 5+ years in Data-related projects and 3+ years in Automation.

Software Engineer III at JPMorgan Chase, AWM, OPEN INVEST responsible for designing and delivering technology products in a secure, stable, and scalable way. Responsibilities include building and managing backend services, integrating applications, writing scalable code, contributing to observability tools, and working with various stakeholders.

Lead as the Director of Software Engineering at JPMorgan Chase & Co., overseeing the development of the Engineering Intelligence Platform 2.0. Drive innovation, manage diverse teams, and align technical initiatives with organizational goals.

The Vice President of Artificial Intelligence and Machine Learning at JPMorgan Chase & Co. will lead strategic projects and develop data-centric solutions that drive business outcomes. Responsibilities include engaging with stakeholders, developing AI/ML solutions, collaborating with teams, and coaching team members. Preferred qualifications include a financial services background and a PhD in a relevant discipline.

Drive and assist in defining project requirements and deliverables, communicate project progress and recommendations, analyze and parse data, consolidate metrics, coordinate execution activities related to data governance, possess strong project management, communication, and interpersonal skills.