Senior Lead eSoftware Engineer - Equities Algo Trading - Java - VP in London

Senior Lead eSoftware Engineer - Equities Algo Trading - Java - VP in London

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Aumni

At a Glance

  • Tasks: Design and develop innovative algo trading strategies and execution platforms.
  • Company: Join JPMorgan Chase, a global leader in financial services with a collaborative culture.
  • Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
  • Other info: Work with a global team and enjoy excellent career advancement opportunities.
  • Why this job: Make a real impact in the fast-paced world of equities trading technology.
  • Qualifications: Proficient in Java with experience in algorithmic trading and scalable systems.

The predicted salary is between 80000 - 100000 £ per year.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Senior Lead Software Engineer at JPMorgan Chase within the Equities Trading Technology Organization, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

The JPM Electronic Client Services (ECS) desk has established itself as an integral part of the franchise with continued business and market share growth (currently the top provider in EMEA for agency flow execution). As such you will be entering an environment where your colleagues share a market-leading mentality and constantly innovate and strive for excellence. Our product is global, so you will work closely with colleagues across the globe, who will appreciate and build on your skills, while also sharing their extensive experience to help you evolve.

The successful candidate will be part of the equities algo development team and work with quants, traders, and technologists to develop, implement, support and maintain a market leading algo execution platform trading global markets. Work deliverables directly contribute to the business and this role participates in all aspects of the trading engine. You will work directly with all stakeholders in our business. Subject to skills match and interest, your work can span across engine infrastructure, quantitative models, introduction/use of trading signals, and trade analysis for fine-tuning and overall improvement of strategy behavior.

Job Responsibilities

  • Design and develop algo trading strategies and execution platform
  • Design and develop our simulation environment and maintain our automated testing of strategies and their responses to staged market conditions
  • Enhance existing strategies to improve performance by reviewing analytics and evolving our models/signals
  • Support the desk by deep-diving into specific cases to interpret strategy behavior and address any issues
  • Develop scalable real-time processing solutions using agile methodologies
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

Required Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts and proficient advanced experience in Java
  • Proficiency in low latency, real-time, scalable trading systems
  • Experience in building/dealing with high throughput messaging APIs, middleware products
  • Ability to work effectively within a global team (spread across NA, EMEA, APAC) while influencing and contributing towards the development of the global platform
  • Experience with algorithmic trading, including systematic trading
  • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred Qualifications, Capabilities, and Skills

  • Experience with FIX, Market Data, Analytics and OMS
  • Market microstructure knowledge
  • Equities, FX, options, derivatives asset class knowledge
  • Jupyter/Pandas, KDB+/Q, Python, shell scripting

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. 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.

Senior Lead eSoftware Engineer - Equities Algo Trading - Java - VP in London employer: Aumni

At JPMorgan Chase, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. Our commitment to employee growth is evident through extensive training opportunities and a culture that values diversity and inclusion, ensuring that every team member can contribute to and benefit from our market-leading technology initiatives. Join us to be part of a global team that not only drives excellence in equities algo trading but also fosters meaningful career advancement in a supportive and agile setting.

Aumni

Contact Details:

Aumni Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Lead eSoftware Engineer - Equities Algo Trading - Java - VP in London

Tip Number 1

Network like a pro! Reach out to your connections in the finance and tech sectors. A friendly chat can lead to insider info about job openings or even a referral, which can give you a leg up in the application process.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to algo trading or Java development. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and scenarios specific to algo trading and software engineering. Confidence is key!

Tip Number 4

Don’t forget to apply 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 Senior Lead eSoftware Engineer - Equities Algo Trading - Java - VP in London

Java
Low Latency Systems
Real-Time Processing
Scalable Trading Systems
High Throughput Messaging APIs
Algorithmic Trading
Market Microstructure Knowledge

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience with Java and algo trading, and don’t forget to mention any relevant projects or achievements that showcase your skills in real-time processing and scalable systems.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about algorithmic trading and how your background makes you a perfect fit for our team. Keep it concise but impactful!

Showcase Your Team Spirit:We love collaboration at StudySmarter! In your application, mention experiences where you’ve worked effectively within a global team. Highlight how you’ve influenced projects and contributed to team success.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Aumni

Know Your Tech Inside Out

Make sure you brush up on your Java skills and understand the intricacies of low latency, real-time trading systems. Be ready to discuss your past projects and how they relate to algo trading, as this will show your technical depth and relevance to the role.

Understand the Business Context

Familiarise yourself with the equities market and the specific challenges faced in algo trading. Knowing about market microstructure and how trading strategies are developed will help you engage in meaningful conversations during the interview.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex issues in previous roles, especially those related to trading systems or algorithmic strategies. Highlight your analytical skills and your ability to work collaboratively with quants and traders to enhance performance.

Be Ready for Technical Questions

Expect to face technical questions that test your understanding of algorithms, data structures, and system design. Practise coding problems and be prepared to explain your thought process clearly, as communication is key in a global team environment.