Job Description
Join our global HR Data and Analytics team, where we focus on workforce data strategy, analytics, AI/ML solutions, and data governance. This role offers the chance to influence key decisions and work on high-visibility projects across the firm. You'll have the opportunity to make a significant impact at a leading financial services firm by developing data-centric solutions that promote business outcomes.
As an Applied AI/ML Senior Associate within HR Data and Analytics, you are an team member contributor who should be able to apply quantitative, data science and analytical skills to complex problems. You're able to work across teams to design, develop, and evaluate and execute against those data science and analytical solutions with a keen functional understanding of the business problem. You will be responsible for data wrangling, data analysis, modeling, including model selection and producing quick applicable modeling solutions.
Job responsibilities
- Engaging with stakeholders and understanding business requirements,
- Developing AI/ML solutions to address impactful business needs,
- Working with other team members to productionise end-to-end AI/ML solutions,
- Engaging in research and development of innovative relevant solutions,
- Documenting developed AI/ML models to stakeholders
- Coaching other AI/ML team members towards both personal and professional success,
- Collaborating with other teams across the firm to attain the mission and vision of the team and the firm
Required qualifications, capabilities, and skills
- Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)
- Experience in the application of AI/ML to a relevant field,
- Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised.
- Strong experience in natural language processing (NLP) and its applications.
- Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects.
- Previous experience in working on Spark, Hive, and SQL,
Preferred qualifications, capabilities, and skills
- Financial service background
- PhD in one of the above disciplines
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 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.
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Human Resources plays a critical role in driving the employee experience, shaping the firm's culture and building a diverse and inclusive workforce. We are a strategic partner to the business - working with leaders across the firm to hire, develop and retain the best people and help meet business goals. Together, we foster a work environment in which our people are supported, feel like they belong and are able to make an impact through their work. We develop and deliver a suite of products and services that help make JPMorgan Chase an employer of choice and drive our business forward.
Top Skills
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and 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 consumers 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.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.