Job Description

Shape the future of software delivery by building applied artificial intelligence solutions that are secure, reliable, and measurable. Join a team that turns advanced methods into production capabilities used by real customers, with strong engineering standards and clear ownership. Bring your expertise in building distributed systems and grow your impact through high-visibility work, deep technical leadership, and cross-team collaboration

As an Applied AI/ML Senior Associate within our dynamic team, you will apply your quantitative, data science, and analytical skills to complex problems. You will collaborate with various teams to design and develop data science solutions, maintaining a deep understanding of the business problem. Your responsibilities will include data wrangling, data analysis, and modeling. You will advise on optimal solutions and provide insights on challenger models. You will be involved in strategic projects across the firm, making a significant impact at a leading financial services firm. Your role will be pivotal in developing data-centric solutions that enhance the firm's bottom line.

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/Masters in one of the above disciplines with minimum 6 years of relevant experience

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

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.