Compliance - Quant Analytics Senior Associate

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB 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 the Compliance, Conduct and Operational Risk (CCOR) organization, 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. In this this role, you will need to be strategic, detail-oriented, and technically capable professional who can navigate complex and ambiguous problems, translate business needs into practical solutions, and collaborate effectively with cross functional global teams.

Additionally, you will be responsible for identifying and resolving inefficiencies and control gaps, defining data quality standards, and building automation and data-driven improvements. This role will require you to have the ability to take ownership of deliverables, make sound judgment-based decisions with minimal oversight, communicate clearly with stakeholders, and help deliver reliable solutions in an evolving environment. You will be part of an energetic team that values collaboration, ingenuity, continuous learning, and adaptability.

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…