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JPMC 组内直招！！！直推Hiring Manager！！！
JPMorgan Chase & Co.（摩根大通）是跨国金融服务机构及美国最大的银行之一，业务遍及60多个国家，包括投资银行、金融交易处理、投资管理、商业金融服务、个人银行业务等。
公司Work Life Balance极好，有移民Sponsorship (H1B、绿卡)，每日朝9晚5从不加班，每年PTO 4周(20工作日) + 3员工日 + 6病假日 + 其他假期（志愿日等），不用担心绩效。组内氛围轻松活跃，没有pressure，manager和组员都非常nice和flexible。
本组主业务为Card/Credit Risk Core Modeling，涉及Data Science, Statistics, Machine Learning，使用编程语言为Python/PySpark/SAS
现招收以下两个岗位，需求Python/PySpark Coding能力以及对Statistics和ML的深度理解，最好可以两个月内开始工作，直推Hiring Manager：
- Consumer & Community Banking - Card Risk Machine Learning - Sr. Associate [Job Description在本文末尾]
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Prefer Ph.D. New Grad 或 Master + 2年以上相关工作经验
Prefer Ph.D + 至少5年Banking或Credit Risk相关工作经验
办公位置：Wilmington, Delaware (Greater Philadelphia Area).1point3acres
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办公时间：朝9晚5，一周Remote/一周On-site交替 (近期由于疫情加重一直WFH，未来待定)
有意者请将以下信息发送至我的个人邮箱: xuzheng.lu.lxz@gmail.com
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邮件内容：
- Resume
- 3-5句自我介绍
- 电话，邮箱，居住城市
- Linkedin (Optional)
-baidu 1point3acres
-baidu 1point3acres
跪求大米！！！！
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. 1point3acres
--- Job Description ---. From 1point 3acres bbs
.1point3acres
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with operations worldwide. The Firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of customers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com
Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment.
Chase Consumer & Community Banking (CCB) serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Chase Card Services is the top issuer of US credit cards.
The Data Science and Capability team is a Data Center of Excellence within CCB Card Modeling. Data is the lifeblood of Machine Learning. We focus on driving quality and consistency of existing and new data and attributes, driving critical data capability and deriving actionable insight using modern tools and techniques. We are looking for candidates with demonstrated extensive knowledge of data science techniques, strong statistical analysis skills, and expertise in logic and attention to detail. In this critical role, the candidate will be responsible for the quality of data and attributes used in Machine Learning Models to safeguard our business and derivation of new information/attributes to identify new opportunities for revenue growth and risk mitigation in card business. The successful candidate must be comfortable working with a wide range of stakeholders and functional teams and be able to effectively communicate results to senior management.. 1point3acres.com
Card Risk Modeling - Data Science and Capability Team – Applied AI / ML Associate Sr.
- Design and development of attribute library to drive consistency and improve quality of data used for machine learning models throughout the customer lifecycle (acquisition, account management, transaction authorization and collection)
- Work closely with the senior management team and utilize cutting-edge machine learning approaches to develop innovative attributes and machine learning modeling solutions, deliver them into production
- Manage attribute quality testing and monitoring by leveraging modern techniques to identify data and attributes issues, patterns, improve attributes accuracy, consistency and establish warning systems/tools
- Evaluate the effectiveness and accuracy of new data sources and data gathering techniques
- Collaborate with various partners in marketing, risk, technology, data governance and control, etc. throughout the entire attributing and modeling lifecycle
- Own quality of attributes and models developed, assuring accurate and appropriate development standards, and right implementation at all times
- Make contributions to the group’s knowledge base by proposing new and creative ways for approaching analytic problems and project design.
Basic Qualifications
- Ph.D. or Master’s degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering
- 2 years of experience working with large data, developing or managing the development and implementation of attributes and predictive models in the credit card industry.
- Ability to write high-quality code in traditional as well as modern platforms. At least two years of professional experience and proficiency in coding (e.g. Python, SAS, Spark, Scala, or Tensorflow) and big data platform (e.g., Hadoop, HDFS, Teradata, AWS cloud, Hive)
- Solid understanding of advanced statistical methods and advanced machine learning techniques: GLM/Regression, Random Forest, Boosting, Trees, neural networks, clustering, KNN, anomaly detection, simulation, scenario analysis, modeling, etc.
- Strong ability to understand and interpret data
- Advanced problem-solving skills and exceptional analytical skills
- Polished and clear communications with senior management
- • Ability to deliver high-quality results under tight deadlines and be comfortable with the manipulation, analysis, and summarization of large quantities of data.
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