quant developer

Bank of America

<div>Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. 
 
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates&rsquo; physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. 
 
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. 
 
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! 
We are looking for a highly skilled and innovative Quant Developer / Strategist to join the Quantitative Strategies &amp; Data Group within Global Markets. The team develops Python-based solutions on the Bank&rsquo;s strategic platform, Quartz, delivering strategic and regulatory programmes, including FRTB IMA, VaR, Strategic Risk and PnL, etc.. The role offers exposure across all asset classes (Rates / Commodity / Credit / FX / Equity) and involves close collaboration with Front Office Technology, Risk, and Quant teams. This is a hands-on role combining quantitative modelling, data analysis and engineering.
Key Responsibilities:<ul><li>
Develop and enhance market models (e.g. VaR) to ensure accurate measurement of risk exposures across trading books, in line with regulatory and internal governance requirements</li><li>
Support the implementation of robust risk data testing frameworks to assess the appropriateness, completeness and reasonableness of risk scenarios, VaR, expected shortfall and stress test calculations. This includes testing scenario design, implementation, results consolidation, and analyses of calculations to understand key drivers</li><li>
Investigate data issues and model anomalies, expanding and debugging the existing risk and PnL calculation code, and improving performance and maintainability</li><li>
Partner with Tech, Quants and Risk partners to ensure that the solutions are scalable and aligned with the programmes&rsquo; needs</li><li>
Drive continuous improvement through critical review of model development and validation outcomes, and constructive challenge and feedback on technical documentation</li></ul>
Required Qualifications and Skills:<ul><li>
Masters/PhD level in a quantitative subject (Mathematics, Statistics, Physics, Engineering, Computer Science or other analytical background)</li><li>
Proficient in Python, SQL, C++ and other</li><li>
Excellent analytical and problem-solving skills</li><li>
Strong communication skills</li><li>
Risk knowledge is desirable but not strictly necessary, provided there is a willingness to learn</li><li>
We welcome applications from junior candidates with at least 2 years of financial markets experience, as well as from more experienced professionals</li></ul></div>

Quant Developer â€“ Quantitative Strategies & Data Group

Wise Australia Investments

<div><div><div>Wise is a global technology company, building the best way to move and manage the world&rsquo;s money. 
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money. 
For everyone, everywhere.
. 
Job Description 
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.
Your work will have a direct impact on Wise&rsquo;s mission and millions of our customers. 
About the Role:
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.
What you&rsquo;ll own<ul><li>
Python microservices that run quantitative models in production</li><li>
Monitoring, alerting, and reliability for real-time pricing and risk systems</li><li>
Shared quant libraries used across multiple services</li><li>
CI/CD pipelines, deployment and operational excellence</li><li>
Incident response and root cause analysis for production issues</li></ul>
Where you&rsquo;ll grow<ul><li>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</li><li>
Pricing models for new instruments and products</li><li>
Trading strategy development and optimisation</li><li>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</li><li>
Backtesting frameworks and model validation</li><li>
Customer behaviour modelling, pricing strategy and product launch support</li><li>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</li></ul> 
Qualifications 
What we&rsquo;re looking for<ul><li>
4+ years building and maintaining production Python systems</li><li>
Strong experience with microservices, databases, and production infrastructure</li><li>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</li><li>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</li><li>
Experience with testing, monitoring, and debugging complex systems under load</li><li>
A product mindset - you think about who uses your systems and why</li><li>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</li></ul>
It&rsquo;s a bonus if you are familiar with<ul><li>
FX or financial markets experience</li><li>
Term structure modelling, stochastic calculus or Monte Carlo methods</li><li>
Interest rate curve bootstrapping</li><li>
Algorithmic execution experience</li><li>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</li></ul>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic 
Additional Information<div></div> 
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences. 
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on </div></div><div><div><div><div>Instagram</div></div></div></div></div><div></div>

Lead Data Scientist (Quant) - Treasury FX

Wise

<div>Company Description 
Wise is a global technology company, building the best way to move and manage the world&rsquo;s money. 
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money. 
For everyone, everywhere.
More about our mission and what we offer. 
Job Description 
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.
Your work will have a direct impact on Wise&rsquo;s mission and millions of our customers. 
About the Role:
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.
What you&rsquo;ll own<ul><li>
Python microservices that run quantitative models in production</li><li>
Monitoring, alerting, and reliability for real-time pricing and risk systems</li><li>
Shared quant libraries used across multiple services</li><li>
CI/CD pipelines, deployment and operational excellence</li><li>
Incident response and root cause analysis for production issues</li></ul>
Where you&rsquo;ll grow<ul><li>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</li><li>
Pricing models for new instruments and products</li><li>
Trading strategy development and optimisation</li><li>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</li><li>
Backtesting frameworks and model validation</li><li>
Customer behaviour modelling, pricing strategy and product launch support</li><li>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</li></ul> 
Qualifications 
What we&rsquo;re looking for<ul><li>
4+ years building and maintaining production Python systems</li><li>
Strong experience with microservices, databases, and production infrastructure</li><li>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</li><li>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</li><li>
Experience with testing, monitoring, and debugging complex systems under load</li><li>
A product mindset - you think about who uses your systems and why</li><li>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</li></ul>
It&rsquo;s a bonus if you are familiar with<ul><li>
FX or financial markets experience</li><li>
Term structure modelling, stochastic calculus or Monte Carlo methods</li><li>
Interest rate curve bootstrapping</li><li>
Algorithmic execution experience</li><li>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</li></ul>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic 
Additional Information<div></div> 
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences. 
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.</div>

Citi

<div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
Counterparty Credit Risk Analytics is a group within Citi Financial Risk Technology, responsible for developing the applications used for derivatives credit Risk and Basel Capital calculations Firm-wide.
The Counterparty Credit Risk Developer is an intermediate level position responsible for participation in the development and advancement of the derivatives credit risk application.
Core objectives will include developing and maintaining the applications calculating the Counterparty Credit Risk metrics. Additional objectives will include the contribution towards application execution analysis reports, monitoring and optimization of the application build and the enhancement of the end-to-end calculation test suite.
This is an excellent opportunity to gain exposure to a wide range of advanced technology paradigms like high performance grid computing.
 
It will provide significant opportunities to collaborate with teams in the broader internal network including Front Office Technology, Risk and Quant groups, and exposure to high performance computing and cloud.
Responsibilities:
<ul><li>Develop and maintain Counterparty Credit Risk applications
</li><li>Enhance and support CI/CD processes, including build, testing, and release management.
</li><li>Optimize codebase performance and facilitate the transition to cloud-based workflows.
</li><li>Expand and execute test suites (unit, regression, integration) and conduct performance/memory profiling.
</li><li>Create and maintain comprehensive documentation for applications and processes.
</li><li>Collaborate with Quant and Technology teams to integrate model updates and new technologies.
</li><li>Analyze complex issues and provide evaluative judgments on business and system processes.
</li><li>Serve as a Subject Matter Expert (SME) for senior stakeholders and team members, exercising independent judgment.
</li></ul>Qualifications:
<ul><li>Programming experience in Python, including systems analysis and software application development.
</li><li>Proficiency with UNIX shell scripting (e.g., bash, ksh) and version control software like Git.
</li><li>Experience with CI/CD pipeline technologies, such as Jenkins.
</li><li>Outstanding analytical and problem-solving skills with a thorough and detailed approach to accuracy.
</li><li>Experience in AWS cloud a plus.
</li><li>Excellent verbal and written communication skills in English.
</li><li>Ability to collaborate effectively within a large team of developers.
</li><li>Capacity to work under pressure, manage deadlines, and take ownership of tasks.
</li><li>Master&rsquo;s degree or equivalent in computer science, mathematics, engineering, or physics.
</li></ul>-
<h2 class="jobSectionHeader">Job Family Group:
</h2>Technology
-
<h2 class="jobSectionHeader">Job Family:</h2>
Applications Development
-
<h2 class="jobSectionHeader">Time Type:</h2>
Full time
-
<h2 class="jobSectionHeader">Most Relevant Skills
</h2>Please see the requirements listed above.
-
<h2 class="jobSectionHeader">Other Relevant Skills
</h2>For complementary skills, please see above and/or contact the recruiter.
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</div>

Counterparty Credit Risk Python Developer, AVP

IMC Trading

<div>
 As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.
 
 
 This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC&rsquo;s technology and trading capabilities.
 
 
 
 Your Core Responsibilities
 
 
 
 <ul>
 <li>
 The opportunity to be in a brand new position in a growing team
 </li>
 <li>
 Develop large-scale distributed training pipelines to manage datasets and complex models
 </li>
 <li>
 Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
 </li>
 <li>
 Develop libraries to improve the performance of machine learning frameworks
 </li>
 <li>
 Maximize performance in training and inference using GPU hardware and acceleration libraries
 </li>
 <li>
 Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
 </li>
 <li>
 Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
 </li>
 <li>
 Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
 </li>
 <li>
 Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
 </li>
 <li>
 Dig into the internals of open-source ML tools to extend their capabilities and improve performance
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 5+ years of experience in machine learning with a focus on training or inference systems
 </li>
 <li>
 Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
 </li>
 <li>
 Strong engineering skills, including Python, CUDA, or C++
 </li>
 <li>
 Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
 </li>
 <li>
 Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
 </li>
 <li>
 Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
 </li>
 <li>
 Exposure to cloud platforms and orchestration tools
 </li>
 <li>
 A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
</div>

Machine Learning Engineer

Pure Human Resources

<div>Senior Full Stack Developer<div>
England (Remote)
 
Full time, permanent
 
Salary: &pound;55,000 &ndash; &pound;70,000 (DOE)
 
Competitive benefits package</div><div>
Building technology that makes a real difference in healthcare</div><div>
Our client, Holmusk, is a global health technology company transforming behavioural health and chronic disease care through data, digital innovation and evidence-driven medicine.</div><div>
Following continued growth, they are seeking an experienced Senior Full Stack Developer to join their UK team and play a key role in the development of healthcare applications used within Mental Health Trusts across the UK.</div><div>
This is an opportunity to combine technical excellence with meaningful impact, helping to build secure, scalable and compliant software that supports frontline healthcare professionals.</div><div>
Senior Full Stack Developer, the role:</div><div><ul><li>Design, develop and maintain scalable full stack applications using C#/.NET and React
</li><li>Build responsive, high-performance user interfaces using modern JavaScript, HTML and CSS
</li><li>Contribute to architecture decisions, ensuring scalability, maintainability and security
</li><li>Develop and maintain automated testing frameworks across unit, integration and end-to-end testing
</li><li>Drive engineering best practice through code reviews and quality standards
</li><li>Work within a regulated software environment with a strong focus on quality and compliance
</li><li>Collaborate closely with a small, highly skilled development team
</li><li>Support CI/CD pipelines and cloud-based deployment processes
</li><li>Troubleshoot, optimise and improve performance across applications and services
</li><li>Contribute to documentation, traceability and technical governance requirements
</li><li>Support future growth of the engineering team through mentoring and knowledge sharing</li></ul></div><div>
Senior Full Stack Developer, the person:</div><div><ul><li>Strong commercial experience with C# /.NET Core /.NET 6+
</li><li>Strong React.js and modern JavaScript development experience
</li><li>Solid understanding of REST APIs, microservices and distributed systems
</li><li>Experience with design patterns and frameworks such as Entity Framework, MVC, MVVM or CQRS
</li><li>Proven experience implementing automated testing and quality assurance practices
</li><li>Experience with Azure cloud environments
</li><li>Strong knowledge of Git, CI/CD pipelines and DevOps principles
</li><li>Experience working with MS SQL and relational databases
</li><li>Understanding of secure coding principles and data protection requirements
</li><li>Experience using AI tools to improve development efficiency</li></ul></div><div>
Senior Full Stack Developer, the benefits:</div><div><ul><li>Opportunity to shape the development of a software solution that directly supports mental health service delivery
</li><li>Fully remote working
</li><li>Collaborative, flexible and supportive working culture
</li><li>Exposure to innovative healthcare technology at scale
</li><li>Opportunity to work with modern cloud, AI and digital health solutions
</li><li>Generous holiday allowance plus additional company days for national holidays
</li><li>Annual performance-based company bonus
</li><li>Ongoing professional development and career growth opportunities</li></ul></div><div>
Pure Human Resources Limited works in partnership with Holmusk in providing Recruitment support. No applications from agencies please.</div></div>

Senior Full Stack Developer

Netcraft

<div>
 
 
 The company
 
 
 
 Netcraft is the global leader in cybercrime detection and disruption. We&rsquo;re a trusted partner for three of the four largest companies in the world, twelve of the fifty largest banks, and five country governments. We've blocked almost 200 million cyber-attacks to date, and we take down around 33% of the world's phishing attacks.
 
 
 
 
 
 Our purpose and passion are focused on just one thing: protecting the world from cybercrime.
 
 
 
 
 
 We carry that passion through into our workplace too. Our people are highly talented, and everyone is valued for their individual contribution, so we make sure Netcraft is a great place to work. From great benefits to health and wellness and social events, we&rsquo;ve got you covered.
 
 
 
 
 
 
 The role
 
 
 
 We are looking for an experienced Developer Experience Engineer (DevEx / DX) to join our Platform team with a remit of accelerating developers and removing engineering friction across the organisation.
 
 
 
 
 
 This role can be based in any of our UK offices: London, Manchester or Bath.
 
 
 
 
 
 As the first DevEx engineer, you will shape how developer experience is measured and improved across the organisation.This is a founding individual contributor role, suited to someone excited by building a DevEx function from the ground up and delivering meaningful change in a hands-on way.
 
 
 Success will be measured by improvements in developer productivity metrics, reduced onboarding time (as engineers join or move between teams), faster feedback loops in CI/CD, and high satisfaction from engineering teams.
 
 
 
 
 
 Reporting to the Director of Engineering for Platform, and partnering with engineering leadership, you will assume a range of key responsibilities to define and deliver Netcraft&rsquo;s DevEx roadmaps identifying areas of friction, prioritising the right initiatives, implementing improvements directly where needed, and enabling teams to own and execute improvements with appropriate guidance and support.
 
 
 
 
 
 
 Your responsibilities will include:
 
 
 <ul>
 <li>
 Lead the evaluation and integration of developer tools, especially AI-assisted development tooling. Support team adoption by sharing knowledge, running demos, tracking utilisation and demonstrating value. Experiment with emerging developer tooling and evaluate their real-world impact on engineering productivity.
 </li>
 <li>
 Develop and maintain "golden path" templates and scaffolding to accelerate project bootstrapping and promote consistent engineering practices.
 </li>
 <li>
 Improve and standardise the local development experience across all engineering teams (environment setup, local services, test data, etc.) to reduce onboarding and iteration time.
 </li>
 <li>
 Work with the rest of the Platform Engineering department to securely abstract Infrastructure and Cloud tasks away from software engineers.
 </li>
 <li>
 Support teams by assessing and recommending improvements to CI/CD pipelines and SDLC processes.Reduce build and test feedback loops by improving CI pipeline performance and reliability.
 </li>
 <li>
 Define and track developer productivity metrics (e.g. build times, CI performance, deployment frequency) to identify systemic friction and measure improvement.
 </li>
 <li>
 Help software teams to curate high-quality pipelines and tests, ensuring high release confidence.
 </li>
 <li>
 Build and maintain internal developer tools (CLIs, automations, shared libraries, etc.) that simplify common engineering workflows.
 </li>
 <li>
 Conduct regular user research and feedback sessions with engineering teams to identify friction points and propose improvements.
 </li>
 <li>
 Improve the structure and discoverability of engineering documentation, reducing time-to-first-MR and improving engineering onboarding.
 </li>
 </ul>
 
 
 
 
 
 Our tech stack includes:
 
 
 <ul>
 <li>
 Dev tools: Cursor, Claude, Codex, JetBrains (IntelliJ/GoLand)
 </li>
 <li>
 CI/CD: GitLab Premium (self-hosted)
 </li>
 <li>
 Frontend: Next.js, React, Tailwind, TypeScript
 </li>
 <li>
 Backend: Typescript, tRPC, Go, OpenAPI, RabbitMQ, MariaDB
 </li>
 <li>
 Infrastructure: Terraform/OpenTofu, Kubernetes, Docker, AWS, Puppet, Rocky Linux
 </li>
 <li>
 DORA metrics: Sleuth
 </li>
 </ul>
 
 
 
 
 
 To be successful, you&rsquo;ll need:
 
 
 <ul>
 <li>
 4+ years of experience in Software Engineering, DevEx, and/or Platform Engineering roles.
 </li>
 <li>
 Strong proficiency in at least one modern systems or scripting language (Ideally Go).
 </li>
 <li>
 Demonstrated experience integrating generative AI-powered tooling into software workflows.
 </li>
 <li>
 Understanding of the limitations, failure modes, and security risks associated with LLMs (hallucinations, prompt injection, context window limits, etc.)
 </li>
 <li>
 Deep understanding of the modern SDLC, including Git flow, CI/CD (especially GitLab CI), and containerisation technologies (Docker, Kubernetes).
 </li>
 <li>
 Exceptional empathy for the developer experience; a product mindset where the "customer" is the internal software engineer.An understanding of the developer mindset, to ensure keen adoption of new tools and practices.
 </li>
 <li>
 Strong written communication skills, with the ability to write documentation that is easily parsable by both humans and LLMs.
 </li>
 <li>
 Ability to navigate ambiguity and define standards in a rapidly evolving technology landscape.
 </li>
 <li>
 An awareness of cost implications in a cloud environment, and methods of optimising services for maximumROI.
 </li>
 </ul>
 
 
 
 
 
 Bonus points if you have:
 
 
 <ul>
 <li>
 Agentic workflows: Experience building or coordinating autonomous agents that can perform multi-step engineering tasks.
 </li>
 <li>
 Dev portal expertise: Experience with Backstage.io or other developer portals.
 </li>
 </ul>
 
 
 
 
 At Netcraft we strongly believe in individual growth and development. Even if you can't tick every box above right now, please don'tlet it put you off applying.
 
 
 
 
 
 
 The Reward Package:
 
 
 <ul>
 <li>
 33 days annual leave - includes public holidays which can be worked if you prefer
 </li>
 <li>
 Generous enhanced family leave and pay
 </li>
 <li>
 Enhanced Sick Pay from day 1, rising to 12 weeks full pay after 6 months
 </li>
 <li>
 Salary sacrifice pension with matched employer contributions up to 5% + NI savings
 </li>
 <li>
 Private health cover, including access to a private GP service
 </li>
 <li>
 Life Assurance at 4 x salary
 </li>
 <li>
 Equity tracking scheme (eligibility criteria apply) - allowing you share in Netcraft's long term success
 </li>
 <li>
 Hybrid and flexible working options
 </li>
 <li>
 Meals, snacks, and drinks provided in the office
 </li>
 <li>
 Comprehensive health, safety, and wellness service available 24/7 for you and your family
 </li>
 <li>
 Two paid Learning &amp; Development days per year plus access to learning resources such as Udemy and Coursera to support your career
 </li>
 <li>
 Two Volunteering Days per year, to allow you to contribute to your wider community or charity
 </li>
 <li>
 Employee Referral Bonus scheme
 </li>
 <li>
 Spot reward bonus scheme to reward truly outstanding contributions
 </li>
 </ul>
 
 
 
 
 
 Diversity, Equity and Inclusion
 
 
 
 This is very important to us and through our ally network we actively support under-represented groups. We seek to maintain a working environment that is free from bias, harassment or discrimination and we encourage candidates from any background to apply, regardless of their gender, gender identity, sexual orientation, race/ethnicity, ability/disability, age, religion, or any other specific characteristics.
 
 
 
 
 
 We&rsquo;re happy to make reasonable adjustments to our hiring process to ensure that all candidates are able to participate fully and comfortably.
 
 
 
 
 
 
 Please note Netcraft does not accept any unsolicited approaches from external recruiters.
 
 
</div>

Developer Experience Engineer

Explore 83+ Quant developer in London this July. Find roles across top companies and apply now to boost your career.

83 quant developer jobs In London

Quant Developer â€“ Quantitative Strategies & Data Group

Lead Data Scientist (Quant) - Treasury FX

Lead Data Scientist (Quant) - Treasury FX

Counterparty Credit Risk Python Developer, AVP

Machine Learning Engineer

Senior Full Stack Developer

Developer Experience Engineer