Lead Software Engineer – Asset Management Data Platform
Lead Software Engineer – Asset Management Data Platform

Lead Software Engineer – Asset Management Data Platform

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and deliver innovative data solutions on a cutting-edge platform.
  • Company: Join JPMorgan Chase, a leader in finance and technology.
  • Benefits: Competitive salary, career growth, and a diverse, inclusive culture.
  • Why this job: Make a real impact with your skills in a dynamic environment.
  • Qualifications: Experience in cloud analytics and strong programming skills required.
  • Other info: Collaborate with talented teams and drive innovation in financial services.

The predicted salary is between 36000 - 60000 £ 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.
  • 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 Javarows, especially for analytics platforms and solutions.
  • Cloud-based data analytics platform experience in Snowflake, Databricks, or similar solutions.
  • AWS Certification (preferred but not required).

Lead Software Engineer – Asset Management Data Platform employer: Jpmorgan Chase & Co.

At JPMorgan Chase, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Lead Software Engineer in our Asset & Wealth Management Data & Analytics Engineering team, you will enjoy a dynamic work environment that values your contributions and encourages professional growth through exposure to cutting-edge technologies. With a commitment to diversity and inclusion, we empower our employees to make a meaningful impact while enjoying comprehensive benefits and opportunities for career advancement.
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Contact Detail:

Jpmorgan Chase & Co. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Software Engineer – Asset Management Data Platform

Network Like a Pro

Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at JPMorgan Chase. Building relationships can open doors that a CV just can't.

Show Off Your Skills

Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving data ingestion and transformation pipelines. This will give you an edge when discussing your capabilities.

Ace the Interview

Prepare for technical interviews by brushing up on your coding skills and understanding modern data architectures. Practice common interview questions and be ready to discuss how you've tackled challenges in previous roles.

Apply Through Our Website

Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at JPMorgan Chase.

We think you need these skills to ace Lead Software Engineer – Asset Management Data Platform

Software Development
Data Ingestion
Data Transformation
Cloud Analytics Technologies
Python Programming
Stakeholder Engagement
Infrastructure-as-Code
System Design
Application Development
Agile Methodologies
Continuous Delivery
Automation
Financial Services IT Systems
Data Mesh
Data Fabric

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 collaborated with diverse teams or stakeholders. This will help us see how you can contribute to our inclusive 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 shows your enthusiasm for joining our team!

How to prepare for a job interview at Jpmorgan Chase & Co.

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 lead and manage others. Prepare examples of past experiences where you've successfully led a team or project, highlighting your communication skills and how you engaged with stakeholders.

Prepare for Problem-Solving Questions

Expect to face technical problem-solving scenarios during the interview. Practice articulating your thought process clearly while tackling complex issues, especially those related to software development life cycles and operational stability.

Emphasise Collaboration and Inclusion

Since the role involves working in an inclusive, agile environment, be ready to discuss how you foster collaboration within teams. Share specific instances where you contributed to a diverse team culture and how it led to successful outcomes.

Lead Software Engineer – Asset Management Data Platform
Jpmorgan Chase & Co.
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J
  • Lead Software Engineer – Asset Management Data Platform

    Full-Time
    36000 - 60000 £ / year (est.)
  • J

    Jpmorgan Chase & Co.

    250,000+
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