Quant Analytics-Senior Associate

Job Description
Come join the Connected Commerce Enablement Trust and Security Analytics team within the broader Data and Analytics organization
As a Quant Analytics Sr. Associate on the Commerce Enablement Analytics team, you'll be supporting the Trust and Security Data work stream within the broader Data and Analytics organization. You will work closely with Product Owners, Data Owners, Tech and Data & Analytics across Consumer and Community Banking to deliver data strategy and analytics initiatives supporting Trust and Security.
Job Responsibilities:

• Deliver analytical approaches to identify opportunities to improve fraud and scam prevention efforts focused on protecting our customers while balancing customer satisfaction
• Develop and maintain comprehensive data strategy roadmap collaborating with Data Owners, Tech, Product owners aligned with Business goals and regulatory requirements
• Collaborate with stakeholders to understand business priorities and translate them to actionable data initiatives
• Collaborate with executive leadership to articulate vision, goals and roadmap for data driven decision-making across the organization
• Drive the adoption of best practices in data management and analytics within the organization within the organization through training, mentoring and knowledge sharing
• Continuously monitor and optimize data processes, analytical models, and infrastructure to drive continuous improvement and innovation
• Bring order to disparate requirements with high tolerance for ambiguity, very strong problem solving ability, and excellent client engagement skills
• Pivot quickly as client guidance evolves, always keeping the ultimate project objective in mind. Manage evolving project requirements while continuously learning quickly on-the-job
• Establish and embrace guidelines to ensure consistency and high quality of presentation materials in appearance, tone, and style
• Collaborate with unit managers, end users, developers, and other stakeholders to integrate data discoveries and processes into operational capabilities

Required qualifications, capabilities, and skills:

• 4+ years of industry experience in Data & Analytics
• Bachelor's degree in relevant quantitative field required (e.g. Analytics, Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields);
• Ability to work collaboratively with cross-functional teams, including data scientists, analysts, and business stakeholders
• Experience working in Digital and/or product analytics and in depth understanding of common digital metrics and definitions
• Competency across a broad range of modern analytics tools (e.g., SQL, AWS, Hive, Hadoop, Spark, Python, R) and working on Digital behavioral data tools (E.g.: Adobe Analytics)
• Ability 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, with ability to influence and effectively collaborate with cross-functional teams
• Demonstrated ability to define business KPIs and establish measurement frameworks
• Structured thinker with passion for analyzing results and digging deeper and a strong aptitude for technical concepts and ideas
• Superior written and oral communication and presentation skills with experience communicating effectively with diverse audiences - across business and technology partners, including senior leadership
• Self-starter with out-of-the box problem solving skills and a drive to bring new ideas to life
• Strong time-management skills, with the ability to multi-task and keep numerous projects on track

Preferred qualifications, capabilities, and skills:

• Understanding of data governance principles and practices
• Cloud Platforms: Proficiency with cloud services from AWS, Google Cloud Platform, or Microsoft Azure
• Data Modeling: Strong understanding of data modeling concepts and techniques
• Data Warehousing: Knowledge of data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.
• ETL Tools: Experience with ETL (Extract, Transform, Load) tools
• Basic knowledge in modern data mining, quantitative research, and data science techniques (e.g., decision trees, regressions, machine learning, string similarity, behavioral analytics, look-a-like models)
• Financial services background

Hybrid-60% in-office
Please note: Relocation assistance is not offered/supported for this role.
About Us
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. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.