data engineer

senior data scientist

analytics engineer

ai software engineer

senior analytics engineer

quantitative analyst developer

Wise

<div><b>Company Description</b><p><br>
Wise is a global technology company, building the best way to move and manage the world&rsquo;s money.<br>
<b>Min fees. Max ease. Full speed.</b></p><p>
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.</p><p>
As part of our team, you will be helping us create an entirely new network for the world's money.<br>
<b>For everyone, everywhere.</b></p><p>
More about <b>our mission</b> and <b>what we offer</b>.</p><b><br>
Job Description</b><p><b><br>
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.</b></p><p><b>
Your work will have a direct impact on </b><b>Wise&rsquo;s mission</b><b> and millions of our customers.</b><br>
</p><p><b>About the Role:</b></p><p>
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.</p><p>
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:</p><p>
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.</p><p><b>
What you&rsquo;ll own</b></p><ul><li><p>
Python microservices that run quantitative models in production</p></li><li><p>
Monitoring, alerting, and reliability for real-time pricing and risk systems</p></li><li><p>
Shared quant libraries used across multiple services</p></li><li><p>
CI/CD pipelines, deployment and operational excellence</p></li><li><p>
Incident response and root cause analysis for production issues</p></li></ul><p><b>
Where you&rsquo;ll grow</b></p><ul><li><p>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</p></li><li><p>
Pricing models for new instruments and products</p></li><li><p>
Trading strategy development and optimisation</p></li><li><p>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</p></li><li><p>
Backtesting frameworks and model validation</p></li><li><p>
Customer behaviour modelling, pricing strategy and product launch support</p></li><li><p>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</p></li></ul><b><br>
Qualifications</b><p></p><p><b><br>
What we&rsquo;re looking for</b></p><ul><li><p>
4+ years building and maintaining production Python systems</p></li><li><p>
Strong experience with microservices, databases, and production infrastructure</p></li><li><p>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</p></li><li><p>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</p></li><li><p>
Experience with testing, monitoring, and debugging complex systems under load</p></li><li><p>
A product mindset - you think about who uses your systems and why</p></li><li><p>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</p></li></ul><p><b>
It&rsquo;s a bonus if you are familiar with</b></p><ul><li><p>
FX or financial markets experience</p></li><li><p>
Term structure modelling, stochastic calculus or Monte Carlo methods</p></li><li><p>
Interest rate curve bootstrapping</p></li><li><p>
Algorithmic execution experience</p></li><li><p>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</p></li></ul><p><b>
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.</b></p><p><b>
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.</b></p><p><b>
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</b></p><b><br>
Additional Information</b><div></div><p><br>
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.</p><p>
We're proud to have a truly international team, and we celebrate our differences.<br>
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.</p><p>
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.</p><p>
Keep up to date with life at Wise by following us on LinkedIn and Instagram.</p></div>

Lead Data Scientist (Quant) - Treasury FX

Wise Australia Investments

<p></p><div><div><div><p>Wise is a global technology company, building the best way to move and manage the world&rsquo;s money.<br>
<b>Min fees. Max ease. Full speed.</b></p><p>
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.</p><p>
As part of our team, you will be helping us create an entirely new network for the world's money.<br>
<b>For everyone, everywhere.</b></p><p>
.</p><p><b><br>
Job Description</b></p><p><b><br>
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.</b></p><p><b>
Your work will have a direct impact on </b><b>Wise&rsquo;s mission</b><b> and millions of our customers.</b><br>
</p><p><b>About the Role:</b></p><p>
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.</p><p>
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:</p><p>
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.</p><p><b>
What you&rsquo;ll own</b></p><ul><li><p>
Python microservices that run quantitative models in production</p></li><li><p>
Monitoring, alerting, and reliability for real-time pricing and risk systems</p></li><li><p>
Shared quant libraries used across multiple services</p></li><li><p>
CI/CD pipelines, deployment and operational excellence</p></li><li><p>
Incident response and root cause analysis for production issues</p></li></ul><p><b>
Where you&rsquo;ll grow</b></p><ul><li><p>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</p></li><li><p>
Pricing models for new instruments and products</p></li><li><p>
Trading strategy development and optimisation</p></li><li><p>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</p></li><li><p>
Backtesting frameworks and model validation</p></li><li><p>
Customer behaviour modelling, pricing strategy and product launch support</p></li><li><p>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</p></li></ul><p><b><br>
Qualifications</b></p><p></p><p><b><br>
What we&rsquo;re looking for</b></p><ul><li><p>
4+ years building and maintaining production Python systems</p></li><li><p>
Strong experience with microservices, databases, and production infrastructure</p></li><li><p>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</p></li><li><p>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</p></li><li><p>
Experience with testing, monitoring, and debugging complex systems under load</p></li><li><p>
A product mindset - you think about who uses your systems and why</p></li><li><p>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</p></li></ul><p><b>
It&rsquo;s a bonus if you are familiar with</b></p><ul><li><p>
FX or financial markets experience</p></li><li><p>
Term structure modelling, stochastic calculus or Monte Carlo methods</p></li><li><p>
Interest rate curve bootstrapping</p></li><li><p>
Algorithmic execution experience</p></li><li><p>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</p></li></ul><p><b>
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.</b></p><p><b>
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.</b></p><p><b>
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</b></p><p><b><br>
Additional Information</b></p><div></div><p><br>
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.</p><p>
We're proud to have a truly international team, and we celebrate our differences.<br>
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.</p><p>
If you want to find out more about what it's like to work at Wise visit <b>Wise.Jobs</b>.</p><p>
Keep up to date with life at Wise by following us on </p></div></div><p></p><div><div><div><div><b>Instagram</b></div></div></div></div></div><div></div>

Ciklum

<p></p><div><div><div><div><div><div><div><div><div><div><div><b>Ciklum</b> is looking for a <b>Expert Agentic AI Engineer</b> to join our team full-time in the UK .<br>
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.</div><p><b>
About the role:</b></p><p>
As a Expert Agentic AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.</p><p><b>
Responsibilities:</b></p><ul><li>
Design, build, train, and deploy production-grade Machine Learning, Deep Learning, or Natural Language Processing (NLP) models</li><li>
Optimize ML models for enterprise-scale latency, throughput, and performance, ensuring flawless integration with data warehouses and automated workflow bots</li><li>
Partner with Data Engineers to engineer high-quality data pipelines, automated feature stores, and secure data preprocessing routines</li><li>
Establish and scale MLOps workflows to handle model lineage tracking, code versioning, automated validation gates, and continuous deployment pipelines</li><li>
Set the core technical direction for AI engineering across squads, evaluate emerging AI methodologies, and provide high-level mentorship to senior team members</li></ul><p><b>
Requirements:</b></p><ul><li>
5+ years (Senior) or 8+ years (Expert) of professional experience developing, shipping, and maintaining machine learning models in live production environments</li><li>
Agentic Frameworks: Hands-on experience building autonomous workflows, custom plugins, and orchestration logic using Microsoft Copilot Studio or semantic kernels</li><li>
Cloud AI Infrastructure: Proven experience deploying and fine-tuning generative AI models, prompt flow, and vector databases within Azure AI Foundry (formerly Azure AI Studio)</li><li>
Tool Integration: Strong background in connecting LLMs to external APIs, enterprise data sources, and robotic process automation (RPA) tools to enable autonomous action execution</li><li>
Elite proficiency in Python paired with extensive experience using core ML libraries and frameworks (such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face)</li><li>
Hands-on experience working with MLOps tracking tools and cloud-based AI infrastructure ecosystems (such as MLflow, Kubeflow, AWS SageMaker, or Azure ML)</li><li>
Strong computer science fundamentals, including advanced knowledge of data structures, algorithmic complexity, and clean code principles. a formal degree in Computer Science, Data Science, Mathematics, or a highly quantitative field is strongly preferred</li></ul><p><b>
What`s in it for you?</b></p><ul><li>
Strong community: Work alongside top professionals in a friendly, open-door environment</li><li>
Growth focus: Take on large-scale projects with a global impact and expand your expertise</li><li>
Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications</li><li>
Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies</li><li>
Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company&rsquo;s Benefit Plans</li></ul><p><b>
About us:</b></p><p>
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the UK, Ciklum is growing fast&mdash;inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.</p><p><b>
Explore, empower, engineer with Ciklum!</b></p><p>
Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.</p><p>
#LI-VH1</p></div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>REQUIRED SKILLS</p>
<div><ul><p>Agentic AI</p>
</ul></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><p>JOB INFO</p>
<div><div><div><ul><div><div>Job Identification</div>
<div>3619</div>
</div><div><div>Job Category</div>
<div>Intelligent Automation</div>
</div><div><div>Posting Date</div>
<div>07/03/2026, 02:34 AM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>London
</div></div>(Hybrid)</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Expert Agentic AI Engineer

Driftrock Limited

<div><p>Driftrock is hiring a Senior Platform Engineer to take ownership of the infrastructure and security that let our engineering teams ship fast, safely and at scale as more of the world's biggest car brands come on board.</p>
Quick facts<ul><li><b>
Team:</b> Engineering</li><li><b>
Reports to:</b> Head of Engineering</li><li><b>
Location:</b> Remote, UK or abroad, with a few hours of daily UK overlap</li><li><b>
Contract:</b> Full time, permanent</li><li><b>
Salary:</b> &pound;65,000 to &pound;85,000, plus share options</li><li><b>
Start date:</b> As soon as we find the right person</li></ul>
Why this role exists<p>
Driftrock runs entirely on Google Cloud, and our product is growing quickly as more clients trust us with their marketing. As we scale, we're investing in a dedicated owner for our platform and security, so our engineering squads can keep shipping fast with strong foundations under them.</p><p>
You'll define how we run, secure and evolve our platform, and build the tooling and secure defaults that let our product squads ship confidently without reinventing infrastructure every time. As Driftrock and our engineering org grow, this function is expected to grow too, and there's real room for the right person to shape it and eventually lead a small platform team.</p><p>
Our platform is made of multiple Elixir services that talk to each other over APIs and RabbitMQ, store data in PostgreSQL and Redis, and run on Kubernetes (GKE) on Google Cloud. We manage our infrastructure in Terraform, run our own self-hosted Buildkite CI/CD, and use Oban for background jobs. We're a high-discipline engineering team that leans on Extreme Programming, test-driven development and pair programming to ship to production several times a day, with a strong data-driven and observability-first mindset.</p>
What you'll own<p>
You'll be accountable for the health, security and reliability of our cloud platform, and for the developer experience that sits on top of it, so that every engineer can build and ship with speed and confidence.</p>
Your first 90 days<ul><li><b>
By day 30:</b> you've mapped our current infrastructure, security posture and developer workflows, and you understand where the biggest opportunities and risks are.</li><li><b>
By day 60:</b> you've shipped your first improvements and shared a prioritised roadmap for the platform, agreed with the engineering team.</li><li><b>
By day 90:</b> you're delivering steadily against that roadmap, with early wins in place across security, reliability or developer experience, and clear ownership of the platform established.</li></ul>
What you'll be doing<ul><li><b>
Own and evolve our cloud infrastructure</b> on Google Cloud, shaping how it's structured, secured and scaled so product teams can ship with confidence.</li><li><b>
Extend our infrastructure-as-code coverage</b> so changes are repeatable, reviewable and safe, and our environments are cleanly separated.</li><li><b>
Build on our identity, access and secrets management</b>, maturing our existing least-privilege access and secret rotation as the platform scales.</li><li><b>
Keep our security posture strong and audit-ready</b>, maintaining our ISO 27001 certification and leading both certification and client security audits.</li><li><b>
Own our Kubernetes platform end to end</b>, keeping clusters and workloads current, reliable and easy for teams to use.</li><li><b>
Own and improve our build and deployment pipelines</b> on self-hosted Buildkite, along with the local tooling, containerisation and paved-road workflows that make our engineers faster.</li><li><b>
Run a steady cadence of upgrades and patching</b> across the platform, along with DNS and certificate management, keeping everything current with minimal disruption.</li><li><b>
Improve infrastructure observability and visibility</b>, so we understand cost, health and performance across our environments.</li></ul>
What you'll bring<ul><li>
Deep, hands-on experience running production workloads on a major cloud platform, ideally Google Cloud.</li><li>
A track record of operating Kubernetes in production, from cluster operations to sensible workload patterns.</li><li>
Fluency with infrastructure-as-code, ideally Terraform, and the instinct to codify everything.</li><li>
Strong cloud security fundamentals across identity and access, secrets, and network security.</li><li>
Experience owning CI/CD pipelines and improving how teams build and deploy.</li><li>
Comfortable being hands-on in our codebase: you're happy to write some Elixir, for example standing up an Oban LiveView dashboard or building internal tooling, or you have a background in a functional language or Ruby and are genuinely keen to learn Elixir.</li><li>
The seniority to own and shape a function: you set standards, make sound architecture decisions independently, and bring others with you.</li><li>
An enablement-first mindset, building guard rails and paved roads rather than gates and bottlenecks.</li></ul><p><b>
Bonus points</b></p><ul><li>
Production experience with Elixir, Erlang/OTP, Phoenix or LiveView, or a background in Ruby.</li><li>
Experience maintaining ISO 27001, SOC 2 or similar, and handling security audits with customers.</li><li>
Reliability practices such as service-level objectives and incident management.</li><li>
Awareness of cloud cost management.</li><li>
Experience mentoring engineers or growing a small team.</li></ul><p><i>
Not sure you tick every box? Please apply anyway.</i></p>
Why Driftrock<p>
Driftrock's mission is to become the world-leading automotive and e-mobility marketing software platform, and help accelerate the transition to clean transport.</p><p>
We work with some of the world's biggest brands, including BMW, BYD, Mercedes-Benz and Volvo, and partner with the world's leading platforms, including Meta, Google, mobile.de and Auto Trader.</p><p>
We've been building since 2013, and our work enables billions of euros in vehicle sales every year.</p><p>
We're a close, fully remote team of 35 people across engineering, design, customer success, performance and commercial, spread across the world.</p><p>
That means your work has a real, visible impact on our product, our culture and how we operate.</p><p>
We're at the cutting edge of marketing technology, with plenty of room to unlock value from data and to help speed up the shift to electric vehicles.</p><p>
How we work is shaped by four values:</p><ul><li><b>
We care:</b> about our team, our customers, and the people who see the marketing messages that we power. Work isn't done until we can prove it's useful to both the consumer and the customer.</li><li><b>
Be that person:</b> if something needs fixing, fix it. It's never someone else's problem.</li><li><b>
People-first:</b> we put people at the core of everything, and never compromise security or privacy for results.</li><li><b>
Be better today than you were yesterday:</b> we bake learning and continuous improvement into everything we do, for ourselves and our customers.</li></ul><p>
In practice, this looks like weekly Monday Showcases where we share what we're learning, regular retros, a budget to attend the courses and conferences that grow you, Donut coffee pairings to stay connected, and an annual company Summit that brings the whole global team together in person.</p>
What's in it for you<p>
We're remote-first and flexible about how and where you work, with co-working space available if you want it. Alongside your salary:</p><ul><li><b>
Share options</b> in Driftrock, on founder-friendly, tax-efficient EMI terms, including the option to retain vested options after leaving (at board discretion).</li><li><b>
Comprehensive Vitality health cover:</b> medical, dental, vision, hearing, mental-health support and therapy, cancer cover, a free Headspace subscription and Vitality rewards.</li><li><b>
24 to 28 days' holiday</b> (24 + 1 extra each year, capped at 28), plus bank holidays.</li><li><b>
Pension contributions, life assurance (3x salary) and income protection.</b></li><li><b>
Electric car salary-sacrifice scheme</b> (Octopus): save up to ~40%, with insurance, servicing and a charging perk included.</li><li><b>
Enhanced maternity and paternity leave.</b></li><li><b>
A learning budget</b> for books, courses and conferences, plus time for personal goals.</li><li><b>
Perks and discounts</b> via CharlieHR, and a BMW Group employee discount programme.</li></ul><p><b>
International team members:</b></p><p>
We're remote-first and hire globally.While some UK-specific benefits are delivered differently abroad, we strive for genuine parity. Wherever you are, the standard package includes a comprehensive health plan, pension contributions, paid time off including local bank holidays, share options, enhanced maternity and paternity leave, a learning budget, and our flexible working culture. International team members are employed compliantly via an Employer of Record (Remote.com).</p>
Our hiring process<ul><li>
A short intro call.</li><li>
A conversation with the hiring manager.</li><li>
A practical task based on real challenges, never unpaid spec work.</li><li>
A final conversation with the team.</li></ul>
Inclusion at Driftrock<p>
Driftrock is an equal-opportunity employer. We welcome applicants of every background, identity and life experience, and we're building a team that reflects the people our marketing reaches. We don't make decisions based on age, disability, gender, gender identity, marital status, race or ethnicity, religion or belief, or sexual orientation. If you need any adjustments to the application or interview process to do your best, just let us know, and we're glad to help.</p><p></p><p><b>
We will not be considering recruitment agencies for this role.</b></p><p>
By applying for this job you give us permission to store your data on our secure applicant tracking system and to contact you about Driftrock job opportunities. We process your data for recruitment purposes only and keep it until this role is filled, after which we will delete it or, with your agreement, keep it for similar future roles for up to 12 months. See our privacy policy at driftrock.com/privacy-policy for how we comply with GDPR, including how to access, correct, delete or restrict the data we hold. You can lodge a complaint with the UK supervisory authority (the Information Commissioner's Office), or contact our DPO for any concerns.</p></div>

Senior Platform Engineer

Explore 4+ Quantitative analyst developer in London this August. Find roles across top companies and apply now to boost your career.

4 quantitative analyst developer jobs In London

Lead Data Scientist (Quant) - Treasury FX

Lead Data Scientist (Quant) - Treasury FX

Expert Agentic AI Engineer

Senior Platform Engineer