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JPMorganChase

Quant Analytics Senior Associate - Trust & Security

JPMorganChase, Plano, Texas, us, 75086

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Quant Analytics Senior Associate - Trust & Security

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Quant Analytics Senior Associate - Trust & Security

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JPMorganChase Quant Analytics Senior Associate - Trust & Security

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Quant Analytics Senior Associate - Trust & Security

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JPMorganChase Get AI-powered advice on this job and more exclusive features. Job Description

Be a part of a dynamic team where your skills in data analytics will contribute to enhancing Trust and Security. This role offers career growth and the opportunity to work with industry leaders in a collaborative environment. Job Description

Be a part of a dynamic team where your skills in data analytics will contribute to enhancing Trust and Security. This role offers career growth and the opportunity to work with industry leaders in a collaborative environment.

As a Quant Analytics Senior Associate within the Trust and Security Data & Analytics Team, you will play a crucial role in supporting the Trust and Security Data work stream. You will collaborate with Product Owners, Data Owners, Tech, and Data & Analytics teams across Consumer and Community Banking to deliver data strategy and analytics initiatives that support Trust and Security. Your work will be instrumental in improving fraud and scam prevention efforts, ensuring customer protection while maintaining satisfaction. You will develop and maintain a comprehensive data strategy roadmap, aligning with business goals and regulatory requirements. You will work closely with stakeholders to understand business priorities and translate them into actionable data initiatives, driving data-driven decision-making across the organization.

Job Responsibilities

Deliver analytical approaches to identify opportunities for enhancing fraud and scam prevention efforts. Develop and maintain a comprehensive data strategy roadmap in collaboration with Data Owners, Tech, and Product Owners. Collaborate with stakeholders to understand business priorities and translate them into actionable data initiatives. Partner with executive leadership to articulate the vision, goals, and roadmap for data-driven decision-making. Drive the adoption of best practices in data management and analytics through training, mentoring, and knowledge sharing. Continuously monitor and optimize data processes, analytical models, and infrastructure. Manage disparate requirements with a high tolerance for ambiguity and strong problem-solving ability. Pivot quickly as client guidance evolves, keeping the ultimate project objective in mind. Establish and adhere to guidelines ensuring consistency and high quality of presentation materials. 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 a relevant quantitative field (e.g., Analytics, Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields). Prior experience in Digital and/or product analytics with an in-depth understanding of common digital metrics and definitions. Proven track record of being detail-oriented, innovative, creative, and strategic, with the ability to influence and effectively collaborate with cross-functional teams. Demonstrated ability to define business KPIs and establish measurement frameworks. Structured thinker with a passion for analyzing results and a strong aptitude for technical concepts. Experience with modern analytics tools (e.g., SQL, AWS, Hive, Hadoop, Spark, Python, R) and Digital behavioral data tools (e.g., Adobe Analytics). Superior communication and presentation skills with experience communicating effectively with diverse audiences, including senior leadership. Self-starter with out-of-the-box problem-solving skills and a drive to bring new ideas to life. Excellent time-management skills, with the ability to multi-task and keep numerous projects on track.

Preferred Qualifications, Capabilities, And Skills

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). Background in financial services. Advanced degree in a relevant quantitative field.

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. 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 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. Seniority level

Seniority level Not Applicable Employment type

Employment type Full-time Job function

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