Rodeo
ResourcesPartnersSign in

JPMorganChase

Lead Software Engineering - Java/Python - Risk Data Platform & Strategy

London
Posted 11 days ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

Lead Software Engineer – Data Platform & Strategy

JPMorgan Chase | Corporate Risk Technology | Commercial & Investment Bank

Play a pivotal role in shaping the future of risk technology as a Lead Software Engineer in our Data Platform & Strategy team. You’ll innovate, collaborate, and solve complex challenges while driving cutting-edge data engineering and software development solutions.


About the Role

This is an impactful opportunity to:

  • Guide and lead a team driving secure, scalable, and resilient technology solutions.
  • Work alongside agile squads to deliver high-value enterprise data platforms.
  • Champion modern software engineering practices, including AI-assisted tooling for code review, automation, and continuous improvement.
  • Instill a culture of diversity, inclusion, and innovation within a collaborative team.
  • Gain exposure to financial services’ most sophisticated IT systems while fostering growth opportunities at scale.

You’ll impact everything from ** architectural design reviews to technology strategy, ensuring solutions are aligned with JPMorgan’s rigorous resilience, security, and operational excellence standards.


Key Responsibilities

Software & Systems Engineering

  • Design, develop, and implement advanced data engineering solutions for large-scale enterprise platforms.
  • Develop and maintain high-quality, secure production code, adhering to secure coding principles and adhering to regulatory requirements.
  • Lead technical troubleshooting, with a focus on minimising operational disruptions and automating remediation for recurring issues.
  • Collaborate across teams (inclusive of developers, product owners, PMs) to define and communicate technical decisions and trade-offs.

Technology Strategy & Innovation

  • Evaluate commercial and startup data technologies to evaluate integration opportunities and assess operational feasibility.
  • Drive the adoption of AI-assisted development tools to enhance code quality, efficiency, and collaboration, while establishing measurable standards for validation.
  • Champion open source transparency, reuse, and industry patterns within software development lifecycles (SDLC).
  • Foster communities of practice to upskill teams on emerging tools/technologies like AI/ML, large-scale data processing, and cloud-native architectures.

Leadership & Team Culture

  • Interact with stakeholders at all levels, from ** frontend teams to enterprise risk management**, to drive alignment and innovation.
  • Empower the team by focusing on soft skills, diversity, and inclusion, and shaping a culture that values progression and development.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.


Required Qualifications & Skills

All candidates must demonstrate:

  • Hands-on expertise designing, building, and securing large-scale enterprise data platforms (familiarity with responsible AI, data governance, and resilience engineering).
  • Advanced proficiency in secondary critical gaps programming languages (e.g., Java, Python, C/C++, C#) along with NOM, SQL, or Python scripts for data transformation.
  • Proven ability to design, deploy, and troubleshoot data-intensive platforms, covering etl, stream processing, and predictive pipelines.
  • Strong familiarity with **bextension databases (e.g., PostgreSQL, SQL), NoSOI and/or data lakes, Kafka-consume/effective services, and orchestration tools (Airflow, Temporal).
  • Experience integrating robust external monitoring tools (Dynatrace, Splunk, Grafana) with self-driving environments to improve operational visibility.
  • Hands-on knowledge of CI/CD pipelines and cloud-native architectures (e.g., Kubernetes-based deployments).
  • Ability to set **innovation **technology standards with empirical confidence; including assessing could vendors, startups, and internal criticalers architectural designs and assessing trusted build paths.
  • Excelling as an inclusive coach for AI-assisted technology adoption (eg: for code quality improvement, testing acceleration, incident analysis, and release readiness).

Tools and Languages: Scorescale, Python, Redis, Switzerland container deployment, Azure cloud concepts. Advanced proficiency is preferred.


(Essential minimum qualifications)

  • Optionally preferred qualifications include: Must include hands-on or supervised technical responsibility over at least three components of :

Experience Financiers:

Expertise in financial considerations such as quantity risk, capital management, operational databases independent obligations.

High-technology structural know-how:

  • Excellently familiar with Databricks or Snowflake environments.
  • Hands-on experience with versions a major to understand calculation processing (PySpark, Flink, etc).
  • Proficiency in data tools beyond the quantum approach.
  • Strong architectural expertise in a TSAD environment including direct experience of extra banking عط software systems.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

About The Team

Corporate Risk Technology

The Data Platform & Strategy team operates at the intersection of risk measurement, data engineering, and scalable technology. You’ll contribute to critical applications that support strategic decision-making, risk monitoring, and regulatory compliance across JPMorgan’s Commercial & Investment Bank.

About JPMorgan's Commercial & Investment Bank

JPMorgan Chase & Co. is one of the largest financial institutions globally, serving corporations, governments, renowned investors, and individuals in 100+ countries. We deliver products and services that empower:

  • Companies to pivot markets, secure liquidity, and manufacture growth.
  • Governments to manage responsibilities effectively and achieve national balances.
  • Institutional investors to optimize portfolios and meet long-term returns.

Our approach ensures your strength and value aligns with client growth opportunities in critical markets.


Benefits & Why JPMorgan

  • Cutting-edge technology: Work with market-leading platforms and the latest innovations in data science, cloud computing, and AI.
  • Opportunities for advancement; with access to programs like 30 Under 30 or emerging leader initiatives.
  • Access to breakfast programs for senior professionals, executive insight on business priorities).
  • reinforce collaboration culture; e.g., career opportunities to work across geographies in high-impact positions.
  • Resource-centered working environment beyond 100 countries, with an inclusive culture that values diversity and global talent.
  • Strong professional environment and lower industry solid CFO, adopted by a leading research provider.

Our Commitment to Diversity & Inclusion

JPMorgan embraces a culture where every one of our approximately 300,000 associates thrives. We are an equal opportunity employer and do not discriminate or make decisions under any condition. Your ideas will flourish regardless of your background or identity. Join us in fostering an inclusive culture that celebrates diverse thinking in both business and technology fields.

For more information, visit our Equal House D&B Compliance site.


Requested documents/inquiries should be directed to the provided qualification channel/inquiry the team directly.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Java
Python
Data Engineering
Software Development
AI/ML
Microservices
API Design
Kafka
Redis
Observability Tools
Automation
Cloud-native
Agile Methodologies
CI/CD
Relational Databases
NoSQL Databases

Location

London, England, United Kingdom

Sign up to applySee more jobs like this