Senior Quant Analytics Associate - Fraud Risk
Indexed description
As a Quantitative Analytics Associate Senior in the Point-of-Sale Fraud Risk Analytics & Intelligence team, you will play a pivotal role in identifying and anticipating new and emerging risks and trends. You will collaborate with key stakeholders to assess risk factors and apply your expert judgment to address challenges that affect our company, customers, and communities. Our culture in the Risk Management and Fraud Center of Excellence emphasizes innovative thinking, challenging the status quo, and striving to be best-in-class.
Job Responsibilities
- Analyze large volumes of complex data to formulate problem statements and draw concise conclusions about underlying risk dynamics, trends, and opportunities.
- Identify and develop key risk indicators and metrics, enhance existing reporting mechanisms, and explore new analytical areas to improve fraud detection.
- Work closely with cross-functional partners to understand and address key business challenges.
- Exhibit exceptional communication skills, both written and verbal, to effectively communicate with diverse audiences, including senior leadership.
- Demonstrate the ability to work independently, taking ownership of problem-solving from start to finish.
- Collaborate with Product Risk managers and other stakeholders to support the development and monitoring of new strategies and products.
- 5+ years experience in analytics, business intelligence, business analysis, strategy & analytics, or a related role.
- Strong SQL skills and experience working with large datasets, including the ability to validate results and troubleshoot data issues.
- Strong financial analytical skills with the ability to extract business insights from complex data structures.
- Experience building dashboards and recurring reports, and communicating insights to non-technical stakeholders.
- Demonstrated project management skills—able to manage timelines, dependencies, and stakeholder communications across multiple workstreams.
- Ability to work in a fast-paced environment and flexibly adapt to change, with excellent analytical storytelling skills.
- Strong written and verbal communication skills; able to turn ambiguous questions into structured problem statements and requirements.
- High attention to detail and comfort operating in a controlled environment with data governance and privacy expectations.
- 3+ years of hands-on experience in Financial Data analytics
- Python programming skills
- Familiarity with data mining and other advanced analytics techniques
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.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search