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Applied AI ML Associate - Payments Operations

JPMorgan Chase & Co.

Job Description

Our team is responsible for pushing innovations in the Payments space, which is a cornerstone of JPMorgan Chase business. Payments are at the center of the global economy, connecting businesses and consumers around the world. In recent years, the payments industry has experienced rapid innovation with new technologies entering the market. As part of our Applied AI ML team, you’ll be at the forefront of this transformation, developing machine learning solutions with real impact on global finance.

 

As an Applied AI ML Associate in our Payments Operations team, you will be responsible for proposing, developing, testing, deploying, and monitoring machine learning applications and models that support the Payments Operations strategy. You will work closely with other team members as well as with a diversity of stakeholders to develop solutions that bring lasting benefit to the business regardless of the latest research trend. This role requires strong software engineering skills, critical thinking about data and applications, and the ability to translate business needs into technical solutions.

 

Our team values humility, enthusiasm, and collaboration. We seek bright, personable individuals with excellent communication skills and a passion for machine learning.

 

Job responsibilities

  • Identify automation opportunities by gathering business knowledge from stakeholders, exploring large volumes of complex data, and testing hypothesis using traditional and cutting-edge machine learning models.
  • Propose and implement innovative approaches to process multimodal data to enhance business insights and power machine learning models. 
  • Design and build machine learning models in partnership with different parts of the business, by understanding key challenges and metrics of success, communicating results, and gathering feedback to improve model performance and expectations.
  • Productionize and evaluate models, ensuring compliance with relevant processes and governance.

 

Required qualifications, capabilities, and skills

  • BS degree in Computer Science, Mathematics, Engineering, or related field with 3+ years of experience, or MS in a related field.
  • Proficient in Python, R, or other equivalent languages, including experience using machine learning frameworks such as Scikit-Learn, TensorFlow, Pytorch, as well as version control, testing and object-oriented programming.
  • Strong mathematical and statistical skills, including knowledge of exploratory data analysis, statistical models, GLM, decision trees, clustering, and bootstrapping. 
  • Experience with deep learning for language and image classification, image to text extraction, and knowledge of CNNs, RNNs and Transformers.  
  • Ability to manage AI/ML project from inception to production, including extraction of insights, planning and completion of milestones, iteration on solutions and evaluation of business tradeoffs.
  • Eagerness to work with large and complex datasets, including preprocessing raw and unlabeled multimodal data. 
  • Excellent communication and presentation skills that enable collaboration and transparency with non-technical senior leaders as well as technical counterparts.
  • Self-motivated and comfortable working with a geographically distributed team. 

 

Preferred qualifications, capabilities, and skills

  • Experience with Natural Language Processing (NLP), Language Models, and Computer Vision.
  • Ability to design intrinsic and extrinsic evaluations of a model's performance aligned with business goals.

About Us

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.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the Team

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Vacancy posted more than 2 months ago
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