As a Quant Analytics Associate Senior within the POS Capabilities team you will join a forward ... machine learning models, and modernizing authorization platforms. Work with cross line of business ...
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Quick apply
Research and Development Intern - 2027
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As a Quantitative Analytics Associate II in the Point of Sale Fraud team, you will manage fraud ... Experience with Machine Learning technologies. Knowledge of LLMs. This role is not eligible for ...
As a Quantitative Analytics Associate II in the Point of Sale Fraud team, you will manage fraud ... Experience with Machine Learning technologies. Knowledge of LLMs. This role is not eligible for ...
As a Quant Analytics Senior Associate on the Deposit Pricing and Analytics team you will be ... machine learning. We have a strong partnership with Technology, which provides cutting edge data ...
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Fairborn, OH · On-site
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Internship Machine Learning Quant information
What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?
| Aspect | Internship Machine Learning Quant | Data Scientist Intern |
|---|---|---|
| Required Credentials | Strong programming skills, basic finance knowledge, coursework in machine learning | Statistics, programming, domain knowledge, coursework in data analysis |
| Work Environment | Financial firms, hedge funds, quantitative trading teams | Tech companies, startups, research labs |
| Industry Usage | Finance, trading, quantitative research | Technology, marketing, healthcare analytics |
| Common Search Intent | Internship roles in finance with machine learning focus | Internship roles in data science across industries |
Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.
What are the most commonly searched types of Machine Learning Quant jobs in Ohio?
The most popular types of Machine Learning Quant jobs in Ohio are:
What are popular job titles related to Internship Machine Learning Quant jobs in Ohio?
For Internship Machine Learning Quant jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Quant jobs in Ohio look for?
The top searched job categories for Internship Machine Learning Quant jobs in Ohio are:
What cities in Ohio are hiring for Internship Machine Learning Quant jobs?
Cities in Ohio with the most Internship Machine Learning Quant job openings:
Full-time
Medical, Retirement
Posted 24 days ago
Job description
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.
JOB DESCRIPTION
Step into an exciting role as a Quant Analytics Associate on our Point of Sale Capabilities (POS) team, where you'll use data and technology to help stop fraud and keep payments safe. If you enjoy solving problems and working with big data, you'll thrive in this collaborative and innovative environment.
As a Quant Analytics Associate Senior within the POS Capabilities team you will join a forward thinking team that seeks to prevent plastics fraud through innovating analytics, advancing machine learning models, and modernizing authorization platforms. Work with cross line of business partners to drive benefits in all aspects of fraud prevention through advancing technology capabilities, identifying new data sources, and improving analytic techniques. The ideal candidate should be a self-driven problem solver that is capable of analyzing big data, understanding complex systems, identifying opportunities, creating solutions and leading large scale projects
Job Responsibilities
- Understand the full lifecycle of a point of sale transaction, identify improvement opportunities and execute on them
- Contribute to key technical projects by making design recommendations and ensuring that all business needs are met
- Build, develop and maintain new capabilities that support fraud decisioning rules, data models, KPI monitoring and reporting, performance metrics systems and data automation systems
- Partner with the Consumer and Community Banking (CCB) Risk Modeling team to advance our machine learning models by improving modeling techniques, identifying new variables, and improving the model update cycle
- Seek to improve internal analytical techniques and introduce best practices to help improve on key business metric and the ability to work collaboratively with cross-functional partners to understand and address key business challenges
- Identify business opportunity by performing well thought analysis - data mining, ensuring data integrity, synthesizing, and communication findings to senior management
- Provide clear and concise oral and written communication across various functions and levels, inclusive of the broader fraud strategy team and cross-functional teams, including interpreting large amounts of complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities as well as performing ad hoc analysis and deliver updates on key projects to leadership teams
- Stay on top of the industry trends and adopt industry best practices
Required qualifications, capabilities, and skills
- MS degree with 5+ years Risk Management or other quantitative experience
- Excellent collaboration and partnership skills with proven track record in working well with internal teams and external partners
- Proven track record in solving business problems, and/or Project Management Skills -- well-organized, structured approach. Ability to achieve tight timelines on complex deliverables
- Advanced understanding of SAS, SQL, and Python
- Proven ability to query large amounts of data and transform the raw data into actionable management information
- Strong communication and interpersonal skills with ability to interact with individuals across departments / functions and with senior-level executives
Preferred Qualifications, Capabilities, and Skills
- Strong analytical and problem-solving abilities
- Experience delivering recommendations to management
- Familiarity with risk analytic techniques
- Preferred experience supporting more than one CCB Operations Function/Line of Business
This role is not eligible for visa sponsorship
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.
About J.P. Morgan
Sourced by ZipRecruiter
Industry
Banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US