Top Tech Jobs & Startup Jobs in Bengaluru, KA

Bachelor's degree in MIS or Computer Science or other quantitative subject with 5+ years of experience in data engineering, business intelligence, and financial solutions architecture. Proficient in Python, SQL, Databricks, Snowflake, Tableau, and Alteryx. Strong communication skills and experience with AWS preferred.

Senior Associate role in Bangalore with a focus on building and operating scalable ML-driven products in Python, developing server-side applications, and expertise in analytical app development and cloud data warehousing.

The Forecast Automation & Execution Associate will be responsible for planning and executing CCAR/Stress/Budget exercises, automating processes, systematizing data, and deriving insights for finance and risk teams. They will also drive improvements and automation in finance forecasting processes and control/risk environment.

As a Corporate Finance & T/CIO CDO Associate, you will be part of a team focused on delivering innovative data management solutions and supporting data risk management initiatives. Responsibilities include partnering with stakeholders, leading data risk management capabilities, and implementing laws and regulations related to data. Required qualifications include 3+ years of Data Risk Management experience and 5+ years of corporate working experience in an international setting. Proficiency in MS Office, strong interpersonal skills, change management abilities, and attention to detail are key.

Promote a strong business control framework, data quality adherence, and be a hygiene subject matter expert in Shared Services Control. Support the CORE program execution across Asset Wealth Management and JP Morgan Wealth Management. Engage with colleagues to monitor the control environment, assess legal obligations, support a proactive culture, and participate in projects on risk & controls. Maintain compliance with relevant standards and collaborate with stakeholders to stay abreast of risk and control agendas.

Design, develop, test, and validate statistical models for risk weight calculation and forecast. Collaborate with partners to analyze and meet reporting needs. Proficiency in SAS, R, Python required.