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JPMorganChase · 21 hours ago

Data Scientist Senior Associate - Regulatory Operations

Plano, TX

Full-time

Onsite

Mid, Senior Level

4+ years exp

JPMorgan Chase is a leading financial services firm that helps nearly half of America’s households achieve their financial goals. As a Data Scientist Senior Associate, you will lead data-driven initiatives to enhance operational efficiency by designing and implementing advanced analytics solutions, including AI and machine learning, while collaborating with stakeholders across various functions.

Asset ManagementBankingFinancial Services

Growth Opportunities

No H1B

Responsibilities

Apply strategic, data science and quantitative skills within Regulatory Operations

Engage stakeholders and consolidate partnerships to continuously understand business drivers, goals, priorities and opportunities

Develop knowledge of operational processes managed within the pillar and help uncover opportunities using advanced analytics (AI/ML/LLM), research, and automation

Partner with subject matter experts and management to deliver automation solutions from idea conception through implementation

Manage data science and analytics strategies including recommendations on analytical products, services, protocols, and standards across the firm

Invent creative and innovative ways to answer key business questions by leveraging advanced analytics (AI/ML/LLM) & automation ; to improve efficiency and productivity of business user through automation and self-service

Decrease the analytics development lifecycle and increase the velocity at which analysts can disseminate insights

Socialize, promote and support the implementation of the analytic solutions, working with teams across all business units to identify and recommend ways to leverage it for specific deliverables, including automation solutions, dashboards, reports, Ad-hoc requests, deep dives, Industry study research etc

Be a storyteller capable of delivering practical data insights in a compelling manner actionable by senior leadership using presentations, discussions, and visualizations

Qualification

Machine LearningStatistical AnalysisPythonData VisualizationProcess AutomationData MiningDetail OrientationCollaborationStorytellingCreativity

Required

Bachelor's degree in relevant quantitative field (e.g., Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)

Strong understanding of math behind machine learning algos

Demonstrated experience in modern data mining, quantitative research, and data science techniques (e.g., machine learning, behavioral analytics)

Able to work in large and medium sized project teams, as self-directed contributor with a proven track record of being detail orientated, innovative, creative, and strategic

Be a team player who can help build around other people's work and can be a strong collaborator

Experience working across multiple database platforms, both on premises, such as Teradata, Oracle, Hadoop, as well as on Cloud solutions such as AWS and Snowflake

Demonstrated experience with process automation using tools such as Alteryx, Python, R, Tableau, SAS, SQL/PLSQL, VBA, SharePoint and other Business Intelligence tools

Demonstrated experience conducting data analysis with ability to tell compelling stories using data

Preferred

Financial services background

M.S. equivalent

Bachelor's degree in a relevant quantitative field

4+ years of data analytics experience or advanced degree in an analytical field

Experience in recommendation systems

Benefits

Comprehensive health care coverage

On-site health and wellness centers

A retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Company

JPMorganChase

Glassdoor4.0

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.

Founded in 2000

New York, New York, USA

10001+ employees