At a Glance
- Tasks: Design and build high-performance data pipelines and AI platforms for trading analytics.
- Company: Join Crypto.com, a leading global cryptocurrency platform with a dynamic team.
- Benefits: Enjoy competitive salary, medical insurance, flexible work hours, and exciting perks.
- Other info: Collaborative culture focused on innovation and personal growth.
- Why this job: Make an impact in the fast-paced world of crypto trading and AI technology.
- Qualifications: 5+ years in Python and Java, strong software engineering skills, and cloud experience.
The predicted salary is between 63000 - 77000 £ per year.
The Quant Trading team is responsible for trading and managing risks associated with different crypto products, including spots and derivatives.
The team develops and implements trading strategies in fast-paced and complex trading environments.
We are seeking an experienced Trading Analytics Developer to join our Quant Trading team and play a pivotal role in advancing our data and AI infrastructure.
This role combines traditional quantitative development with cutting-edge AI platform engineering, focusing on building robust, scalable systems that serve both data analytics and artificial intelligence workloads.
The ideal candidate will bridge the gap between high-performance trading systems and modern AI capabilities, ensuring reliability, performance, and actionable insights across both domains.
- Job Responsibilities
- Data Platform & Analytics
- Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies
- Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools
- Develop and optimize analytical data models for time-series, financial metrics, and trading activity
- Implement and manage analytical databases (Click House, Mongo DB, Big Query, Snowflake, or similar) with cost-aware architecture
- Build idempotent data pipelines with robust backfill and reconciliation capabilities
- Create comprehensive monitoring for data quality, freshness, and pipeline reliability
- AI Platform Development
- Design, build, and operate internal AI platforms serving multiple trading teams
- Build reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows
- Create and maintain agent systems using modern frameworks (Lang Graph, A2A, MCP) with focus on controllability and auditability
- Job Requirements
- Mandatory Foundations
- 5+ years production experience with both Python and Java in high-performance environments
- Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, accuracy and performance optimization
- Expertise in Linux, Github, and modern CI/CD practices
- Proven experience with AWS cloud services and Kubernetes orchestration
- Comfort working with large-scale, complex datasets in financial/trading contexts
- Data Platform Expertise
- Advanced SQL with window functions and query optimization, realtime data synchronization together with database design and infrastructure support
- Experience with data workflow and messaging orchestration (Airflow, Jenkins, AMPS etc.)
- Metric design and implementation for trading analytics (Pn L, risk, balance and trade reconciliation, backfill and performance tuning)
- Time-series data visualization with Grafana, Trading View, web-based interactive dashboards and BI tools etc.
- Kafka, Flink, and event processing in production environments
- AI Platform Capabilities
- Retrieval system evaluation methodologies and quality frameworks
- RAG pipeline architecture and optimization techniques
- LLMOps practices including model lifecycle and prompt management
- Experience with AI agent frameworks in production settings like A2A and MCP
- Preferred Qualifications
- Financial/Trading Domain
- Experience in trading systems, quantitative finance, or financial technology
- Understanding of market data, data subscription using Rest API / Web Socket
- Knowledge of cryptocurrency markets, defi and related technologies
- Professional Attributes
- Excellent problem-solving skills with ability to perform under pressure
- Strong communication skills for cross-team collaboration
- Proactive approach to system reliability and performance optimization
- Continuous learning mindset in rapidly evolving AI/ML landscape
- Balance of practical engineering rigor with innovative solution development
- Life @ Crypto. com
Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team.
Transformational and proactive working environment. Elevate employees to find thoughtful and innovative solutions.
Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth.
Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another.
One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet.
Are you ready to kickstart your future with us?
Benefits
- Competitive salary
- Medical insurance package with extended coverage to dependents
- Attractive annual leave entitlement including: birthday, work anniversary
- Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up
- Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.
- Work Perks: crypto. com visa card provided upon joining
- Our Crypto. com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.
About Crypto. com: Founded in 2016, Crypto. com serves more than 150 million customers and is the world's fastest growing global cryptocurrency platform.
Our vision is simple: Cryptocurrency in Every Wallet.
Built on a foundation of security, privacy, and compliance, Crypto. com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.
Learn more at
Crypto. com is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way.
Crypto. com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team.
Personal data provided by applicants will be used for recruitment purposes only.
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Trading Analytics Developer, Quantitative Trading in London employer: P2P
At Plasma, we pride ourselves on fostering a collaborative and innovative work culture that empowers our engineers to take ownership of their projects. Located in a vibrant tech hub, we offer competitive benefits, continuous learning opportunities, and a commitment to employee growth, making us an excellent employer for those looking to make a meaningful impact in the fintech space.
StudySmarter Expert Advice🤫
We think this is how you could land Trading Analytics Developer, Quantitative Trading in London
✨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 P2P 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
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We think you need these skills to ace Trading Analytics Developer, Quantitative Trading in London
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 P2P.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at P2P 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 P2P
✨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 P2P 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.
