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Chase · 3 months ago

Data Scientist Senior Associate - Regulatory Operations

8181 Communications Pkwy Bldg A, Plano, TX, 75024, US

Full-time

Onsite

Mid, Senior Level

4+ years exp

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals. As a Data Scientist Senior Associate in the Regulatory Services Reporting & Analytics team, you will design and implement advanced analytics solutions to drive operational efficiency and deliver actionable insights in collaboration with various stakeholders.

BankingFinancial Services

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 LearningPythonData VisualizationStatistical AnalysisProcess AutomationData MiningCollaborationStorytellingDetail OrientedCreativity

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