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 ...
Design and develop machine learning models to drive impactful decisions across credit decisions and ... D. or Master's degree from a reputable institution in a quantitative discipline such as Computer ...
New
Design and develop machine learning models to drive impactful decisions across credit decisions and ... D. or Master's degree from a reputable institution in a quantitative discipline such as Computer ...
New
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 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 ...
... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... machine learning, or artificial intelligence techniques. This position is also responsible for ...
... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... machine learning, or artificial intelligence techniques. This position is also responsible for ...
AI Engineer
Columbus, OH · On-site
As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...
AI Engineer
Columbus, OH · On-site
As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...
... machine learning, or artificial intelligence techniques. This position is also responsible for ... quantitative tools used in the areas of pricing, profitability, and product strategy. Essential ...
... machine learning, or artificial intelligence techniques. This position is also responsible for ... quantitative tools used in the areas of pricing, profitability, and product strategy. Essential ...
OH0713 NW Bancshares HQ, PA0258 Bellevue The Quantitative Analyst III is responsible for supporting ... machine learning, or artificial intelligence techniques. This position is also responsible for ...
OH0713 NW Bancshares HQ, PA0258 Bellevue The Quantitative Analyst III is responsible for supporting ... machine learning, or artificial intelligence techniques. This position is also responsible for ...
... machine learning, or artificial intelligence techniques. This position is also responsible for ... quantitative tools used in the areas of pricing, profitability, and product strategy. Essential ...
... machine learning, or artificial intelligence techniques. This position is also responsible for ... quantitative tools used in the areas of pricing, profitability, and product strategy. Essential ...
... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... machine learning, or artificial intelligence techniques. This position is also responsible for ...
... The Quantitative Analyst II is responsible for supporting developing and maintaining complex ... machine learning, or artificial intelligence techniques. This position is also responsible for ...
As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...
As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...
... machine learning, or artificial intelligence techniques. This position is also responsible for ... quantitative tools used in the areas of pricing, profitability, and product strategy. Essential ...
... machine learning, or artificial intelligence techniques. This position is also responsible for ... quantitative tools used in the areas of pricing, profitability, and product strategy. Essential ...
... of machine learning models and other tools used to drive strategic decisions across the Consumer ... Ability to communicate effectively with technical peers including data engineering and quantitative ...
... of machine learning models and other tools used to drive strategic decisions across the Consumer ... Ability to communicate effectively with technical peers including data engineering and quantitative ...
... of machine learning models and other tools used to drive strategic decisions across the Consumer ... Ability to communicate effectively with technical peers including data engineering and quantitative ...
... of machine learning models and other tools used to drive strategic decisions across the Consumer ... Ability to communicate effectively with technical peers including data engineering and quantitative ...
... of machine learning models and other tools used to drive strategic decisions across the Consumer ... Ability to communicate effectively with technical peers including data engineering and quantitative ...
... of machine learning models and other tools used to drive strategic decisions across the Consumer ... Ability to communicate effectively with technical peers including data engineering and quantitative ...
As a Quant Analytics Manager within Fraud Prevention Strategy, you will be expected to work closely ... Machine learning is a plus * Strong communication, influencing and interpersonal skills with ...
As a Quant Analytics Manager within Fraud Prevention Strategy, you will be expected to work closely ... Machine learning is a plus * Strong communication, influencing and interpersonal skills with ...
As a Quant Analytics Manager within Fraud Prevention Strategy, you will be expected to work closely ... Machine learning is a plus * Strong communication, influencing and interpersonal skills with ...
As a Quant Analytics Manager within Fraud Prevention Strategy, you will be expected to work closely ... Machine learning is a plus * Strong communication, influencing and interpersonal skills with ...
As a Quant Analytics Manager within Fraud Prevention Strategy, you will be expected to work closely ... Machine learning is a plus * Strong communication, influencing and interpersonal skills with ...
As a Quant Analytics Manager within Fraud Prevention Strategy, you will be expected to work closely ... Machine learning is a plus * Strong communication, influencing and interpersonal skills with ...
Advanced Machine Learning Techniques: Apply state-of-the-art machine learning methodologies ... D. or Master's degree from a reputable institution in a quantitative discipline such as Computer ...
Advanced Machine Learning Techniques: Apply state-of-the-art machine learning methodologies ... D. or Master's degree from a reputable institution in a quantitative discipline such as Computer ...
Advanced Machine Learning Techniques: Apply state-of-the-art machine learning methodologies ... D. or Master's degree from a reputable institution in a quantitative discipline such as Computer ...
Advanced Machine Learning Techniques: Apply state-of-the-art machine learning methodologies ... D. or Master's degree from a reputable institution in a quantitative discipline such as Computer ...
Temporary Machine Learning Quant information
What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Quant, and why are they important?
To excel as a Temporary Machine Learning Quant, you need strong quantitative analysis skills, proficiency in machine learning algorithms, and an advanced degree in a quantitative field such as mathematics, statistics, computer science, or engineering. Hands-on experience with programming languages like Python or R, familiarity with data analysis libraries (e.g., NumPy, pandas), and exposure to financial systems or platforms are typically required. Exceptional problem-solving abilities, adaptability, and effective communication help you stand out in this fast-paced environment. These competencies are crucial for developing and deploying data-driven models that inform trading strategies and deliver measurable business impact.
What are the typical responsibilities and challenges faced by a Temporary Machine Learning Quant in a financial firm?
As a Temporary Machine Learning Quant, you will often be tasked with quickly analyzing large financial datasets to develop and validate predictive models for trading strategies or risk assessment. Adapting to new team environments and rapidly understanding proprietary data systems can be challenging, especially given the short-term nature of the role. You'll collaborate closely with traders, data engineers, and other quants to implement solutions, and are usually expected to deliver actionable insights within tight deadlines. The fast-paced setting provides exposure to cutting-edge technologies and can be a stepping stone to more permanent quant or data science positions.
What does a Temporary Machine Learning Quant do?
A Temporary Machine Learning Quant is a professional who applies machine learning techniques to financial data and quantitative models, typically on a short-term or project-based contract. Their work may involve researching, developing, and implementing algorithms to analyze market trends, forecast prices, or optimize trading strategies. These roles are often found in investment banks, hedge funds, or fintech companies, and require strong programming, statistical, and financial skills. The 'temporary' aspect indicates the position is not permanent and usually fills a specific project or resource gap.
What is the difference between Temporary Machine Learning Quant vs Quantitative Analyst?
| Aspect | Temporary Machine Learning Quant | Quantitative Analyst |
|---|---|---|
| Credentials | Degree in Computer Science, Data Science, or related fields; programming skills in Python, R, or C++ | Degree in Finance, Economics, or Mathematics; strong analytical skills |
| Work Environment | Tech-driven, research-focused, often in financial firms or hedge funds | Financial institutions, investment banks, asset management firms |
| Industry Usage | Common in quantitative trading, algorithm development, and data-driven finance roles | Used for risk management, trading strategies, and financial modeling |
The Temporary Machine Learning Quant and Quantitative Analyst roles share overlapping skills in data analysis and finance but differ mainly in focus. The Machine Learning Quant emphasizes programming, algorithm development, and machine learning techniques, often in tech-heavy environments. In contrast, the Quantitative Analyst leans more toward financial modeling, market analysis, and risk assessment. Both roles are vital in finance but cater to different technical and strategic needs.
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 Temporary Machine Learning Quant jobs in Ohio? For Temporary Machine Learning Quant jobs in Ohio, the most frequently searched job titles are:
- Quantitative Research Analyst
- Remote Quantitative Analyst Internship
- Senior Quantitative Risk Analyst
- Business Analyst Generative Ai
- Quantitative Analyst Intern
- Internship Marijuana Data Analyst
- Internship Research Scientist Electrochemistry
- Internship Market Research Analyst
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- Quantitative Analyst
What job categories do people searching Temporary Machine Learning Quant jobs in Ohio look for? The top searched job categories for Temporary Machine Learning Quant jobs in Ohio are:
What cities in Ohio are hiring for Temporary Machine Learning Quant jobs? Cities in Ohio with the most Temporary Machine Learning Quant job openings:
Full-time
Medical, Retirement
Posted 23 days ago
JPMorgan Chase & Co. rating
8.1
Based on 467 frontline employees who took The Breakroom Quiz
46th of 141 rated banks
Job description
Job Description
Drive impactful fraud prevention as a Quantitative Analytics Associate on our Point of Sale Fraud team where your advanced risk analyses and strategic insights help reduce fraud losses, protect customers, and influence key decisions across the organization.
As a Quantitative Analytics Associate II in the Point of Sale Fraud team, you will manage fraud risk strategies in the Fraud Policy area and perform complex risk analyses with the objective of reducing fraud related losses while balancing customer impact. You will frequently interact and communicate with cross-functional partners and communicate and present presentations to managers and executives.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
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.
Drive impactful fraud prevention as a Quantitative Analytics Associate on our Point of Sale Fraud team where your advanced risk analyses and strategic insights help reduce fraud losses, protect customers, and influence key decisions across the organization.
As a Quantitative Analytics Associate II in the Point of Sale Fraud team, you will manage fraud risk strategies in the Fraud Policy area and perform complex risk analyses with the objective of reducing fraud related losses while balancing customer impact. You will frequently interact and communicate with cross-functional partners and communicate and present presentations to managers and executives.
Job responsibilities
- Interpret large amounts of complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities
- Manage, develop, communicate, and implement optimal fraud strategies (including rules, cutoffs, policies, operational flows, etc.) to protect the bank from fraud related losses and improve customer experience at Point of Sale
- Identify key risk indicators and metrics, develop key metrics, enhance reporting, and identify new areas of analytic focus to better capture fraud.
- Provide subject matter expertise on strategy implementation/testing and initiatives related to the improvement of risk mitigation processes and infrastructure
- Collaborate 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 communicating findings to senior management
- Assist team efforts in the critical development of new fraud pattern or spending pattern detection tools while providing clear/concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management
Required qualifications, capabilities, and skills
- Bachelor's degree (or related work experience) in a quantitative discipline in a financial services organization, plus 3 or more years' experience in fraud/risk/payments or related field.
- Advanced understanding of Python, SAS, and SQL.
- Ability to query large amounts of data and transform raw data into actionable management information.
- Strong analytical and problem-solving abilities.
- Experience delivering recommendations to management.
- Self-starter with the ability to drive for resolution.
- Strong communication and interpersonal skills with the ability to interact with individuals across departments/functions and with senior-level executives.
Preferred qualifications, capabilities, and skills
- Master's degree (or related work experience) in a quantitative discipline, preferably in a financial services organization, plus 3 or more years' experience in fraud/risk/payments or related field.
- Experience with Machine Learning technologies. Knowledge of LLMs.
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.
What JPMorgan Chase & Co. employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About JPMorgan Chase & Co
Sourced by ZipRecruiter
Industry
Finance and insurance and banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
New York, NY, US