Applied AI/ML Senior Associate - HR Data & Analytics

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 productionize 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
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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 Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.