Job type: Full-time
Company size: 10k+ people
Company type: Public
java, python, sql
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.
As a Machine Learning Engineer, you will provide high quality technology solutions that address business needs by developing applications within mature technology environments. You will utilize mature (3rd or 4th Generation) programming methodologies and languages and adhere to coding standards, procedures and techniques while contributing to the technical code documentation.
You will participate in project planning sessions with project managers, business analysts and team members to analyze business requirements and outline the proposed IT solution. You will participate in design reviews and provide input to the design recommendations; incorporate security requirements into design; and provide input to information/data flow, and understand and comply to Project Life Cycle Methodology in all planning steps. You will also adhere to IT Control Policies throughout design, development and testing and incorporate Corporate Architectural Standards into application design specifications.
Additionally, you will document the detailed application specifications, translate technical requirements into programmed application modules and develop/Enhance software application modules. You will participate in code reviews and ensure that all solutions are aligned to pre-defined architectural specifications; identify/troubleshoot application code-related issues; and review and provide feedback to the final user documentation.
Provide leadership and direction for the key machine learning initiatives in the Operation Risk domain
Act as machine learning evangelist in the Operation Risk domain
Perform research and proof of concepts to determine ML/AI applicability to potential use cases
Mentor junior data scientists and team members new to machine learning
Display efficient work style with attention to detail, organization, and strong sense of urgency
Designing software and producing scalable and resilient technical designs
Creating Automated Unit Tests using Flexible/Open Source Frameworks
Digesting and understanding Business Requirements and designing new modules/functionality which meet the needs of our business partners.
Implement model reviews and machine learning governance framework
Manage code quality for total build effort.
Participate in design reviews and provide input to the design recommendations
Demonstrate Continual Improvement in terms of Individual Performance
Strong communication skills
Bright and enthusiastic, self-directed
Excellent analytical and problem solving skills
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.