At a Glance
- Tasks: Lead software engineering teams and drive innovative AI solutions in credit risk technology.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on diversity and inclusion.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Dynamic corporate environment with a strong emphasis on teamwork and innovation.
- Why this job: Make a real impact by leading cutting-edge projects in AI and software engineering.
- Qualifications: Proven leadership in software engineering and experience with AI-enabled practices.
The predicted salary is between 63000 - 77000 £ per year.
Archer is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.
If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you. As a Director of Software Engineering at JPMorganChase within Wholesale Credit Risk Technology, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.
Job Responsibilities
- Leads technology and process implementations to achieve functional technology objectives.
- Accountable for decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures.
- Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes.
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation and support capacity unlock initiatives at scale.
- Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
- Delivers technical solutions that can be leveraged across multiple businesses and domains.
- Influences peer leaders and senior stakeholders across the business, product, and technology teams.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and advanced applied experience.
- Experience developing or leading cross-functional teams of technologists.
- Experience with hiring, developing, and recognizing talent.
- Experience leading adoption of agentic AI-enabled engineering practices across teams.
- Strong understanding of responsible AI use and control expectations in engineering workflows.
- Practical cloud native experience.
- Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.
Preferred Qualifications, Capabilities, And Skills
- Worked on agentic platforms.
About Us
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.
About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Director of Software Engineering - Machine Learning/AI (Wholesale Credit Risk Technology) employer: Archer
Archer is an exceptional employer located in the innovative hub of San Jose, California, where we are at the forefront of sustainable air mobility. Our collaborative work culture fosters diversity and creativity, providing employees with ample opportunities for professional growth and development in the aerospace industry. With a commitment to employee well-being and inclusivity, Archer offers a unique chance to contribute to groundbreaking technology while enjoying a supportive and dynamic workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Director of Software Engineering - Machine Learning/AI (Wholesale Credit Risk Technology)
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Archer or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Archer.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Archer.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Archer that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Director of Software Engineering - Machine Learning/AI (Wholesale Credit Risk Technology)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Archer.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Archer and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Archer
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Archer uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
