At a Glance
- Tasks: Design and deliver innovative data solutions on a cutting-edge platform.
- Company: Join JPMorgan Chase, a leader in financial services with a focus on diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic environment with a commitment to innovation and operational excellence.
- Why this job: Make a real impact in data analytics while working with talented colleagues.
- Qualifications: Experience in cloud analytics, programming, and strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
Join us and shape the future of data and analytics at JPMorgan Chase. As a Lead Software Engineer, you will have the opportunity to design and deliver market-leading technology products that support our business objectives. You will collaborate with talented colleagues in an inclusive, agile environment where your ideas and expertise are valued. We empower you to grow your career, work with cutting-edge technologies, and make a meaningful impact. Discover a place where your skills drive real change.
As a Lead Software Engineer in the Asset & Wealth Management Data & Analytics Engineering team, you will design and implement technical data and analytics solutions on a federated data platform. You will develop automated data ingestion and transformation pipelines, create new distribution channels, and deliver enhanced Data Products within a comprehensive data marketplace. You will collaborate with Technology groups and Business consumers, including Quantitative Research, to support key business initiatives. Your work will help drive innovation and operational excellence across our organization.
Job Responsibilities
- Develop secure, high-quality production code and review and debug code written by others
- Identify opportunities to automate remediation of recurring issues and improve operational stability
- Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials
- Drive communities of practice across Software Engineering to promote new and leading-edge technologies
- Design and implement performant automated data ingestion and transformation pipelines
- Build new distribution channels and deliver enhanced Data Products
- Collaborate with stakeholders to understand requirements and deliver impactful solutions
- Foster a team culture of diversity, opportunity, inclusion, and respect
- Ensure operational stability and scalability of software applications and systems
- Apply creative problem-solving to design, development, and technical troubleshooting
- Contribute to all aspects of the Software Development Life Cycle
Required Qualifications, Capabilities, and Skills
- Experience with public cloud analytics technologies, such as Snowflake
- Understanding of modern data architectures, including Data Mesh and Data Fabric
- Advanced proficiency in programming languages, including Python
- Lead developer experience with the ability to guide and manage others
- Strong communication skills and confidence in stakeholder engagement
- Proficiency in building and deploying performant software and familiarity with Infrastructure-as-Code tooling
- Hands-on experience in system design, application development, testing, and operational stability
- Proficiency in automation and continuous delivery methods
- Advanced understanding of agile methodologies, including CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within technical disciplines (e.g., cloud, AI, machine learning, mobile)
- In-depth knowledge of financial services industry IT systems
- Practical cloud native experience
Preferred Qualifications, Capabilities, and Skills
- Experience with Java, especially for analytics platforms and solutions
- Cloud-based data analytics platform experience in Snowflake, Databricks, or similar solutions
- AWS Certification (preferred but not required)
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.
Drive innovation and deliver impactful data solutions as a Lead Software Engineer on our Asset Management Data Platform.
Lead Software Engineer - Asset Management Data Platform in London employer: Aumni
At JPMorgan Chase, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Lead Software Engineer, you will thrive in an inclusive environment where your contributions are valued, and you will have access to cutting-edge technologies and career growth opportunities. Join us in shaping the future of data and analytics while making a meaningful impact in the financial services industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer - Asset Management Data Platform in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data and analytics. This is your chance to demonstrate your expertise in technologies like Python and cloud analytics—make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice coding challenges and be ready to discuss your past experiences in detail. Remember, confidence is key when engaging with stakeholders!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest opportunities tailored to your skills in software engineering and data analytics right there.
We think you need these skills to ace Lead Software Engineer - Asset Management Data Platform in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Software Engineer role. Highlight your experience with cloud analytics technologies and programming languages like Python, as these are key for us.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data and analytics. Share specific examples of how you've driven innovation in previous roles, especially in automated data ingestion and transformation.
Showcase Your Collaboration Skills:Since we value teamwork, mention any experiences where you’ve successfully collaborated with stakeholders or led teams. This will help us see how you can fit into our inclusive and agile environment.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Aumni
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially public cloud analytics like Snowflake and programming languages like Python. Brush up on modern data architectures such as Data Mesh and Data Fabric, as these will likely come up during your interview.
✨Showcase Your Leadership Skills
As a Lead Software Engineer, you'll need to demonstrate your ability to guide and manage others. Prepare examples of how you've led teams or projects in the past, focusing on your communication skills and stakeholder engagement. This will show that you can foster a team culture of diversity and inclusion.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice creative problem-solving scenarios related to software development and operational stability. Be ready to discuss how you would approach designing automated data ingestion pipelines or improving operational stability.
✨Understand the Business Context
Familiarise yourself with JPMorgan Chase's business objectives and how the Asset Management Data Platform fits into them. Being able to articulate how your work can drive innovation and operational excellence will set you apart from other candidates.
