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Chase · 20 hours ago

Quant Analyst-Senior Associate

300 N King St, Wilmington, DE, 19801, US

Full-time

Onsite

Mid Level

3+ years exp

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. As a Quant Analyst on the Commerce Enablement Analytics Team, you will deliver insights through various analytics focusing on Controls, Risk, and Regulatory areas while collaborating with Product Owners and other teams to drive customer engagement and data-driven decision making.

BankingFinancial Services

Responsibilities

Understand and translate business needs into data models supporting long-term solutions

Create data points using best practices to ensure high data quality and reduced redundancy

Rationalize complex normalized data sets allowing for ease of cross org consumption

Partner closely and collaborate with Product teams, Data management teams, Strategy teams, Technology Teams and broader D&A organization resources across multiple functional units to understand business requirements and objectives

Translate data into meaningful insights and present a compelling story to stakeholders for decision making

Bring in experience in the production, optimization and automation of recurrent reports

Collaborate, learn, teach and disseminate knowledge across the Data & Analytics community

Qualification

SQLAlteryxTableauHadoopOracleTeradataMachine LearningPythonSASAWSSnowflakeData WranglingCommunication Skills

Required

BS Degree in quantitative or related field

3+ years of work experience across broad range of analytics technologies and tools in a big data environment

Intermediate knowledge of SQL, Alteryx and Tableau

Experience with Hadoop, Teradata, Oracle and SQL DBs

Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise

Intellectually curious and eager to learn new things with an eye for innovation

Able to demonstrate initiative and complete projects/tasks independently

Highly organized and able to impact multiple tasks

Good written and oral communication skills

Operational business knowledge of processes, data, controls, and technology platforms

Knowledge of Cloud (AWS, Snowflake) based data solutions and tools

Preferred

Basic skills with JIRA, Confluence, and Adobe Analytics

Functional industry experience in operations, marketing, credit/risk, technology or finance

Intermediate knowledge of Machine Learning

Strong SQL skills with the ability to pull data using multiple joins, sub-queries, and advanced functions in an enterprise-scale database environment (Teradata, Hadoop, AWS, etc.)

Experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake and Alteryx is key

Competent using visualization techniques for data analysis and presentation (Tableau preferred)