... neural networks, to solve complex challenges in identity verification and fraud prevention. Working closely with data scientists, engineers, and business stakeholders, you will translate business ...
... neural networks, to solve complex challenges in identity verification and fraud prevention. Working closely with data scientists, engineers, and business stakeholders, you will translate business ...
Senior Product Associate -Trust & Security Authentication Platforms and Modeling
Wilmington, DE · On-site
$99.75K - $150K/yr
... neural networks, to solve complex challenges in identity verification and fraud prevention. Working closely with data scientists, engineers, and business stakeholders, you will translate business ...
Senior Product Associate -Trust & Security Authentication Platforms and Modeling
Wilmington, DE · On-site
$99.75K - $150K/yr
... neural networks, to solve complex challenges in identity verification and fraud prevention. Working closely with data scientists, engineers, and business stakeholders, you will translate business ...
Senior Product Associate -Trust & Security Authentication Platforms and Modeling
Wilmington, DE · On-site
$15.25 - $19/hr
... neural networks, to solve complex challenges in identity verification and fraud prevention. Working closely with data scientists, engineers, and business stakeholders, you will translate business ...
Senior Product Associate -Trust & Security Authentication Platforms and Modeling
Wilmington, DE · On-site
$15.25 - $19/hr
... neural networks, to solve complex challenges in identity verification and fraud prevention. Working closely with data scientists, engineers, and business stakeholders, you will translate business ...
Expertise in Machine Learning and Deep Learning, e.g. classification, regression, clustering, feature engineering, neural network. * Expertise in Statistics, e.g. time series, regression models ...
Expertise in Machine Learning and Deep Learning, e.g. classification, regression, clustering, feature engineering, neural network. * Expertise in Statistics, e.g. time series, regression models ...
Neural Engineering information
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$11.07 - $12.75
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$12.75 - $14.44
4% of jobs
$16.12 is the 25th percentile. Wages below this are outliers.
$14.44 - $16.12
19% of jobs
$16.12 - $17.80
24% of jobs
The median wage is $17.91 / hr.
$17.80 - $19.49
17% of jobs
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$19.49 - $21.17
16% of jobs
$21.17 - $22.86
6% of jobs
$22.86 - $24.54
5% of jobs
$24.54 - $26.22
3% of jobs
$26.22 - $27.91
3% of jobs
$27.91 - $29.59
1% of jobs
$11
$19
$29
How much do neural engineering jobs pay per hour?
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Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.
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Senior Product Associate -Trust & Security Authentication Platforms and Modeling
JPMorgan Chase & CoWilmington, DE
$15.25 - $19/hr
Full-time
Medical, Retirement
Posted 2 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
Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world's most innovative financial organizations. AI/ML is a strategic component to enabling secure and frictionless authentication for the millions of Chase customers who access services across channels. This role works at the intersection of data scientists, business, and technology and will focus on understanding user journey of authentication, identifying opportunities of customer interaction data, and developing strategy of AI/ML solution development and deployment.
Job Summary
As a Senior Product Associate in Trust & Security Authentication Platforms and Modeling, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success.
Additional summary paragraph
As an AI/ML Product Associate specializing in authentication and identity, you will drive the development and deployment of cutting-edge machine learning models to enhance our security platforms. You will explore and implement advanced modeling techniques, including transformer architectures and graph neural networks, to solve complex challenges in identity verification and fraud prevention. Working closely with data scientists, engineers, and business stakeholders, you will translate business requirements into robust AI/ML solutions, ensuring scalability, accuracy, and resilience. Your contributions will directly support the evolution of our authentication capabilities, enabling secure and seamless user experiences across our platforms.
Job responsibilities
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Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery.
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Considers and plans for upstream and downstream implications of new product features on the overall product experience.
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Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers.
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Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle.
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Writes the requirements, epics, and user stories to support product development.
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Collaborate with other product teams across Identity and Authentication to ensure AI/ML models are incorporating the latest signals and data
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Explores and evaluates advanced modeling techniques, such as transformers and graph neural networks, to enhance authentication and identity solutions.
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Works closely with data science and engineering teams to design, develop, and deploy AI/ML models that address complex business challenges.
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Monitors model performance and collaborates on continuous improvement initiatives, including model retraining and feature engineering.
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Ensures compliance with data privacy, security, and ethical standards throughout the model development lifecycle.
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Communicates technical concepts and model outcomes to both technical and non-technical stakeholders, enabling informed decision-making.
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Stays current with industry trends and emerging technologies in AI/ML, proactively identifying opportunities to innovate and improve product offerings.
Required qualifications, capabilities, and skills
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3+ years of experience or equivalent expertise in product management or a relevant domain area
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Proficient knowledge of the product development life cycle
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Experience in product life cycle activities including discovery and requirements definition
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Developing knowledge of data analytics and data literacy
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Ability to learn quickly, manage work independently, and be a team player
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Ability to engage with developers & stakeholder including - consumers, project management, upstream & peer groups
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Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions
Preferred qualifications, capabilities, and skills
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Experience in AI/ML model development and deployment
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Experience with advanced machine learning architectures, such as transformers and graph neural networks
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Experience working with large-scale, real-time data pipelines and streaming data
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Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences
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Knowledge of AWS/public-cloud and Databricks
Applicants must be authorized to work for any employer in the US. We are not able to provide immigration sponsorship or take over sponsorship of an employment visa at this time. Final job grade level and corporate title will be determined at time of offer and may differ from this posting
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
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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