Data Science / ML Engineer
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. Job Description:
- 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.
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.
When you work at JPMorgan Chase & Co., you're not just working at a global financial institution. You're an integral part of one of the world's biggest tech companies. In 14 technology hubs worldwide, our team of 40,000 technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $9.5B annual investment in technology enables us to hire people to create innovative solutions that will not only transform the financial services industry, but also change the world.
At JPMorgan Chase & Co. we value the unique skills of every employee, and we're building a technology organization that thrives on diversity. We encourage professional growth and career development, and offer competitive benefits and compensation. If you're looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you. Qualifications:
- MUST: At leasta BS degree in Computer Science from a reputed university/college. MS or PhD inComputer Science preferred. Can consider non-CS degrees if there is strongrelevant experience.
- MUST: Deepknowledge and expertise in Python programming - you should rate yourself 8 outof 10 or higher and be able to demonstrate during the hiring process.
- Experienceprogramming in Java is a huge plus as we will be writing services in Java butexposed via Rest API. If you have expertise in another language like C# or C++or Scala and you will be willing to learn Java then that will work too.Exposure to R/Matlab is a plus.
- MUST:Experience working through entire lifecycle of at least one large complexapplication build-out and delivery for either a large financial organization ora top-class technology product team. Your ML / data science project must be inproduction for at least 1 year.
- 2-5 years ofexperience in the role of software engineer. Experience building a trulydistributed architecture based system, especially involving large data volumesand real-time distribution will be huge plus.
- Knowledge ofCI/CD, DevOps tool chain, and a test-driven approach to agile delivery isexpected.
- Experiencewith implementing middle-tier data caching solutions (e.g. Gemfire or ApacheIgnite) and/or designing/delivering messaging-based solutions (e.g. Kafka) is aplus.
- Knowledge ofmodern architectures based on microservices, REST APIs, NoSQL stores (e.g.Cassandra), and event-based architecture will be key.