Software Engineer - Machine Learning
JPMorgan Chase Bank, N.A.
New York, NY (United States)
java apache rest
Our Asset and Wealth Management division is driven by innovators like you who are driven to create technology solutions that make us work more efficiently and help our businesses grow. It's our mission to efficiently take care of our clients' wealth, helping them get, and remain properly invested. Across 27 cities, our team of 4,600 agile technologists thrive in a cloud-native environment that values continuous learning using a data-centric approach in developing innovative technology solutions.
We are building the #1 Asset Management Technology platform in the world and we need exceptional, motivated, and world-class talent to join the Portfolio Core Technology team at JP Morgan Asset Management. This role is primarily focused on data science / machine learning. However, you are expected to be versatile and be able to own / implement a use case end-to-end, including compute and data layers; and even lightweight UI prototype to test/validate your model. You must have a passion for writing and testing high quality code.
You will use analytics and machine learning techniques to improve data quality. The goal is to replace thousands of inference rules that are currently coded and maintained to check for data quality issues.
You will develop an ML-based framework that helps reconcile data from multiple data providers with their own respective meta-data and mnemonics. The data reconciliation framework needs to understand the semantics of trade and instrument lifecycle and also temporal aspects of the attributes being compared.
We have hundreds of service providers that provide various services to Asset Management business. You will help develop a "scorecard" based on the QoS (quality of service) provided by each service provider. You will help develop a framework that captures metrics and then calculates an aggregated score based on various parameters.
For certain key measures or calculations that we show to our users, we want to assign a "confidence measure" towards the accuracy of such numbers with associated explanation (through generated text). You will work on an algorithm to not only calculate such confidence measure but you will also work on the data model design for storing and retrieving such data points efficiently.
You will write test cases using TDD/BDD approach with emphasis on high maintainability.
You will participate in code review sessions - peer reviews and group reviews. You will provide code review sign-off for your peer's code.
You will demonstrate scalability of your models/algorithms using mock testing frameworks and other tools.
Technical documentation of your algorithm / models
Implementing logging, auditability, security, and monitoring features.
You should be able to build lightweight user interface using Angular or React.
MUST: At least a BS degree in Computer Science from a reputed university/college. MS or PhD in Computer Science preferred. Can consider non-CS degrees if there is strong relevant experience.
MUST: Deep knowledge and expertise in Python and Java programming - you should rate yourself 8 out of 10 or higher and be able to demonstrate during the hiring process.
MUST : Experience programming in Java . We will be writing services in Java but exposed via Rest API.
MUST: Experience working through entire lifecycle of at least one large complex application build-out and delivery for either a large financial organization or a top-class technology product team. Your ML / data science project must be in production for at least 1 year.
2-5 years of experience in the role of software engineer. Experience building a truly distributed architecture based system, especially involving large data volumes and real-time distribution will be huge plus.
Knowledge of CI/CD, DevOps tool chain, and a test-driven approach to agile delivery is expected.
Experience with implementing middle-tier data caching solutions (e.g. Gemfire or Apache Ignite) and/or designing/delivering messaging-based solutions (e.g. Kafka) is a plus.
Knowledge of modern architectures based on microservices, REST APIs, NoSQL stores (e.g. Apache Grid Gain ), and event-based architecture will be key.JPMorgan Chase & Co., 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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
Equal Opportunity Employer/Disability/Veterans