Quant Analytics Associate Senior - Trust and Security Analytics
JPMorganChase
Join our team to advance your analytics career and make a direct impact on customer trust and security.
As a Quant Analytics Senior Associate within the Connected Commerce Enablement Analytics team, you will deliver data-driven solutions that strengthen fraud and scam prevention efforts. You will collaborate across teams to support the Trust and Security Data work stream, driving innovation and continuous improvement in data strategy.
Job responsibilities
- Deliver analytical approaches to identify opportunities to improve fraud and scam prevention while balancing customer satisfaction
- Develop and maintain a comprehensive data strategy roadmap in collaboration with Data Owners, Tech, and Product Owners, aligned with business goals and regulatory requirements
- Collaborate with stakeholders to translate business priorities into actionable data initiatives
- Drive 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 for improvement and innovation
- Bring order to disparate requirements with strong problem-solving and client engagement skills
- Integrate data discoveries and processes into operational capabilities by collaborating with unit managers, end users, developers, and other stakeholders
Required qualifications, capabilities, and skills
- Bachelor’s degree in a relevant quantitative field
- Eight years industry experience in Data and Analytics
- Experience in digital and/or product analytics with understanding of common digital metrics and definitions
- Demonstrated ability to define business KPIs and establish measurement frameworks
- Proficient in modern analytics tools such as SQL, AWS, Hive, Hadoop, Spark, Python, R, and digital behavioral data tools like Adobe Analytics
- Strong written and oral communication and presentation skills for diverse audiences, including senior leadership
- Ability to work independently and collaboratively in project teams, with strong time-management and multi-tasking skills
Preferred qualifications, capabilities, and skills
- Basic knowledge of data mining, quantitative research, and data science techniques such as decision trees, regressions, and machine learning
- Financial services background
- Advanced degree in a relevant quantitative field
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
Drive data strategy and analytics to enhance fraud and scam prevention for customer protection and satisfaction.