JP Morgan Chase - Associate - Strategic Data Analytics

Department Icon Data Science Analytics & Machine Learning
Posted: 12 hours ago
5-6 years
Hyderabad
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 12 Jan 2027

Posted: 12 hours ago
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Job Description

Description:

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgment to solve real-world challenges that impact our company, customers, and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo, and striving to be best-in-class.

As a Senior Associate in Strategic Data Analytics within CCOR, you will help lead the design, development, and enhancement of scalable analytics, automation, and technology-enabled solutions that support data movement, inventory management, control monitoring, and operational decision-making across multiple compliance spaces. This role requires a strategic, detail-oriented, and technically capable professional who can navigate complex and ambiguous problems, translate business needs, and drive project outcomes.

Job Responsibilities:

  • Lead the identification, decomposition, and resolution of complex, ambiguous problems across workflows, driving root-cause analysis and designing scalable solutions.
  • Proactively research and learn new emerging technologies, methodologies, and business processes to inform innovation strategy and continuously improve team capabilities.
  • Define and enforce data quality standards, validation controls, and audit frameworks to ensure that alerts, dashboards, and AI-driven outputs are trusted, accurate, and compliant.
  • Develop automation solutions using Python, Java, or JavaScript to streamline investigation workflows, data pipelines, and operational processes.
  • Adapt to evolving priorities and requirements while taking ownership of deliverables and project outcomes, and fostering a culture of accountability, transparency, and continuous improvement.
  • Design and build scalable data pipelines and ETL processes using Databricks and Spark to support analytics, operational reporting, control monitoring, and reoccurring workflows.
  • Communicate complex technical concepts, project statuses, business needs, and strategic recommendations clearly to senior leadership, business stakeholders, and cross-functional partners.

Required qualifications, capabilities and skills:

  • Bachelor's degree in Computer Science, Data Analytics, Information Systems, Finance, Business, or a related field.
  • 5+ years of experience in data analysis, process improvement, compliance, operations, technology, or a related discipline.
  • Ability to independently identify, decompose, and solve complex technical and business problems.
  • Foundational proficiency in least one programming language such as SQL, Python, Java, or JavaScript.
  • Experience implementing data quality frameworks, validation controls, and governance processes to ensure accuracy and auditability of analytical outputs.
  • Strong collaboration and interpersonal skills with a track record of working effectively across distributed teams, functions, and seniority levels.
  • Experience with logical and physical data modeling, schema design, and data architecture principles in enterprise environments.
  • Hands-on experience with Databricks, Apache Spark, or similar distributed data processing frameworks for building and maintaining production data pipelines.
  • Self-motivated, independent, and action-oriented with the ability to influence across the firm.
  • Ability to work independently and as part of a team while demonstrating adaptability in a dynamic environment with changing priorities, tools, and business needs.
  • Proficient in other MS Office applications (Outlook/Word/PowerPoint).

Preferred qualifications, capabilities and skills:

  • Strong proficiency in SQL and Python; experience with Databricks, Snowflake or other big-data query tools.
  • Experience in developing, maintaining, and optimizing Tableau/ThoughtSpot dashboards and reports for business users.
  • Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions.
  • Demonstrated proficiency in Microsoft Excel, including advanced functions and data analysis capabilities.

Company Overview:

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Location: Hyderabad.

Note: For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.

Skills

Data AnalyticsAnalyticsPythonSQLData ManagementConsulting - BFSIData AnalyticsPythonData AnalysisData ArchitectureData ModelingEtlData ProcessingProcess ImprovementSnowflakeAnalyticsAiSqlDatabricks

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