Quant Analytics Sr. Associate - Digital

Aumni; Ohio; On-site; USD 100,000 - 150,000; Full time

Job summary

Aumni is seeking a Quantitative Data & Analytics Senior Associate in the United States to independently lead analytics initiatives that transform data into actionable insights. You will partner with stakeholders to solve complex problems, develop governed analytics capabilities, and deliver scalable solutions with strong data quality and controls.

The role blends hands‑on analytics, automation, and emerging AI to drive business outcomes.

Qualifications

• 3+ years of related analytics experience.
• Bachelor's degree in a quantitative field.
• Proficiency in SQL, Python, and data visualization tools.
• Ability to independently investigate complex data problems and drive quality solutions.
• Strong project management and ability to handle multiple projects.

Responsibilities

• Lead analytics initiatives and partner with key stakeholders and product teams.
• Design scalable, governed, self‑service analytics capabilities.
• Apply AI, automation, and advanced analytics to accelerate analysis.
• Analyze customer journeys across channels to identify friction and opportunities.
• Prepare and deliver executive‑ready presentations with insights and recommendations.
• Support and enhance the production analytics and reporting environment.
• Ensure controls and regulatory compliance across analytics activities.
• Mentor junior analysts and share analytical expertise.

Skills

SQL

Python

Data visualization

Analytical thinking

Statistical modeling

Machine learning

Communication skills

Interpersonal skills

Education

Bachelor's degree in a quantitative or related field

Tools

API integration

Job description

As a Quantitative Data & Analytics Senior Associate within the Consumer and Community Banking Data & Analytics organization, you will independently lead analytics initiatives that transform complex data into actionable insights and scalable solutions. You will partner with key stakeholders to understand business needs, solve complex analytical problems, and develop governed analytics capabilities that improve decision‑making and business outcomes. The role combines hands‑on analytics, stakeholder partnership, automation, and emerging AI capabilities to deliver sustainable solutions while maintaining strong data quality, controls, and regulatory standards.

Job Responsibilities:

• Independently lead analytics initiatives and partnerships with key stakeholders and product groups, developing a strong understanding of business drivers, underlying data, and processes.
• Design and deliver governed, scalable, self‑service analytics capabilities that enable stakeholders to independently answer recurring business questions and proactively identify trends, exceptions, risks, and business opportunities.
• Apply approved AI, automation, and advanced analytics capabilities to accelerate analysis, automate repeatable activities, and improve decision support.
• Analyze interactions across a variety of channels to understand customer journeys, friction points, and program performance.
• Prepare and deliver executive‑ready presentations that communicate actionable insights, key conclusions, and recommendations, and lead regularly scheduled analytics meetings with stakeholders.
• Support and enhance the team's production analytics and reporting environment, including troubleshooting issues, responding to stakeholder questions, and implementing enhancements.
• Ensure compliance with established controls and regulatory requirements across analytics activities.
• Identify and implement opportunities to improve analytics processes, methodologies, and solutions.
• Mentor junior analysts, share analytical expertise, and contribute to knowledge development across the broader team.

Required Qualifications, Skills and Capabilities:

• 3+ years of related experience.
• Bachelor's degree in a quantitative or related field required.
• Proficiency in SQL, Python, and data visualization tools.
• Demonstrated ability to independently investigate and solve complex business and data problems, exercise sound analytical judgment, think creatively, and drive quality solutions through implementation.
• Strong project management skills with the ability to manage multiple projects simultaneously.
• Familiarity with data mining, statistical modeling, machine learning, and other advanced analytics methods.
• Strong data management skills, including data quality, validation, and organization.
• Effective written and verbal communication skills.
• Strong interpersonal skills, including adaptability, emotional intelligence, and conflict resolution.

Preferred Qualifications, Skills and Capabilities:

• Experience applying AI‑assisted development, automation, or emerging analytics technologies to improve analytical workflows and decision support.
• Knowledge of API integration.
• Experience delivering analytics solutions using Agile methodologies, including Scrum or Kanban.
• Knowledge of financial services, risk, controls, or regulatory environments preferred.

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. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, 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 FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

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.

As a Quantitative Data & Analytics Senior Associate within the Consumer and Community Banking Data & Analytics organization, you will independently lead analytics initiatives that transform complex data into actionable insights and scalable solutions. You will partner with key stakeholders to understand business needs, solve complex analytical problems, and develop governed analytics capabilities that improve decision‑making and business outcomes. The role combines hands‑on analytics, stakeholder partnership, automation, and emerging AI capabilities to deliver sustainable solutions while maintaining strong data quality, controls, and regulatory standards.