Data Scientist Associate – Machine Learning Engineer

Join the Payment Testing Technology team at JPMorgan, serving our Commercial clients by validating new and existing payment product flows. Our critical role ensures seamless transactions for clients moving hundreds of billions of dollars daily. We manage test environments and automate solutions for 60+ applications, serving 30,000 clients globally, including some of the world’s largest companies. We’re seeking someone experienced in data manipulation and statistical model building.

As a Data Scientist Associate Senior – Machine Learning Engineer in the Corporate & Investment Bank, Payments Technology, you will have the opportunity to manipulate large data sets and build statistical models. You will be part of a team that ensures seamless payment transactions for our clients by validating new payment product flows and updates to existing products. Your strong programming skills and experience in data wrangling and database management will be crucial in this role. We look forward to your contribution in promoting optimization and improvement of our product development, marketing techniques, and business strategies.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Experience manipulating data sets and building statistical models. Strong in Statistics and probability: very well versed with : Probability distributions, Over and under sampling, Bayesian and frequentist statistics, Dimension reduction, Linear regression, Clustering, Decision Trees
• Proficient in coding in one or more languages. Strong Programming skills using Python, Java, Java Scripts
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Strong in Data wrangling and database management which involves  process of cleaning and organizing complex data sets to make them easier to access and analyze. Manipulating the data to categorize it by patterns and trends, and to correct and input data values can be time-consuming but necessary to make data-driven decisions.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop company A/B testing framework and test model quality.
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Develop custom ML models and algorithms to apply to data sets and hands on experience in building various ML models like: Linear regression, Logistic regression, Naive Bayes, Decision tree, Random forest algorithm, K-nearest neighbor (KNN), K means algorithm, Ensemble models, Simulation, Scenario Analysis

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.