Quantitative Analytics Associate - Fraud Prevention Optimization Strategy

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    "ExternalDescriptionStr": "<p><span style=\"font-size: 10pt; line-height: 107%;\">Are you interested in joining a dynamic team? Become a Quantitative Analytics Associate on our Consumer and Community Banking (CCB) Fraud Prevention Optimization Strategy team to reduce cost of fraud and improving customer experience. The breadth of experiences, learnings, and connections in this role will enable your growth and development. To excel, you'll be highly motivated, highly analytical, extremely detail oriented, and an exceptional problem solver who takes pride in being part of an organization that owns customer issues from beginning to end and delivers accurate, timely solutions.&nbsp;</span></p><p><span style=\"font-size: 10pt; line-height: 107%;\">As a Quant Analytics Associate I in our Fraud Prevention Optimization team you will focus on reducing cost of fraud, through complex analyses combined with business insights and collaboration. Your objective is reducing losses and / or operating expenses while balancing customer impact through optimizing business processes and decisioning. You will frequently interact and communicate with cross-functional partners and present complex analysis succinctly to managers and executives. You will be provided an opportunity to be part of a dynamic team that is instrumental in protecting the bank by leveraging complex analytics and new tools like large language models to deliver sustainable, hard hitting business improvements.</span></p><p><span style=\"font-size: 10pt; line-height: 107%;\"><strong>Job Responsibilities</strong></span></p><ul style=\"list-style-type: disc;\"><li><span style=\"font-size: 10pt; line-height: 107%;\">Interpret and analyze complex data to formulate problem statement, provide concise conclusions regarding underlying risk dynamics, trends, and opportunities.</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Use advanced analytical &amp; mathematical techniques to solve complex business problems.&nbsp;</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Manage, develop, communicate, and implement optimal fraud strategies to reduce fraud related losses and improve customer experience across credit card fraud lifecycle.&nbsp;</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Identify key risk indicators, develop key metrics, enhance reporting, and identify new areas of analytic focus to constantly challenge current business practices.</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Provide key data insights and performance to business partners.</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Collaborate with cross-functional partners to solve key business challenges.</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Assist team efforts in the critical projects while providing clear/concise oral and written communication across various functions and levels.</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Champion the usage of latest technology and tools, such as large language models, to drive value at scale across business organizations.</span></li></ul><p>&nbsp;</p><p><span style=\"font-size: 10pt; line-height: 107%;\"><strong>Required qualifications, capabilities, and skills</strong></span></p><ul style=\"list-style-type: disc;\"><li><span style=\"font-size: 10pt; line-height: 107%;\">Bachelor’s degree in a quantitative field&nbsp;or 3&nbsp;years risk management or other quantitative experience</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Background in Engineering, statistics, mathematics, or another quantitative field&nbsp;</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Advanced understanding of Python, SAS, and SQL</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Query large amounts of data and transform into actionable recommendations.</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Strong analytical and problem-solving abilities</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Experience delivering recommendations to leadership.</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Self-starter with ability to execute quickly and effectively.</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives</span></li></ul><p>&nbsp;</p><p><span style=\"font-size: 10pt; line-height: 107%;\"><strong>Preferred qualifications, capabilities, and skills</strong></span></p><ul style=\"list-style-type: disc;\"><li><span style=\"font-size: 10pt; line-height: 107%;\">MS degree in a quantitative field&nbsp;or 4&nbsp;or more years risk management or other quantitative experience.</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Hands on Knowledge of AWS and Snowflake.</span></li><li><span style=\"font-size: 10pt; line-height: 107%;\">Advanced analytical techniques like Machine Learning, Large Language Model Prompting or Natural Language Processing will be an added advantage.</span></li></ul>",
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    "CorporateDescriptionStr": "<div style=\"border-style: none;padding: 0px 5px;box-sizing: border-box;\">\n <p class=\"MsoNormal\" style=\"margin-bottom:0in;margin-bottom:.0001pt;\">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.<br/><br/>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&nbsp;<a href=\"https://careers.jpmorgan.com/us/en/how-we-hire/faqs\" target=\"_blank\" rel=\"nofollow\" style=\"text-decoration: var(--aui-link-decoration);\">FAQs</a>&nbsp;for more information about requesting an accommodation.</p>\n</div>",
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