At a Glance
- Tasks: Build and optimise AI-driven treasury systems to enhance global funding operations.
- Company: Join a leading fintech company revolutionising the treasury landscape.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement in a fast-paced environment.
- Why this job: Make a real impact in treasury operations using cutting-edge AI technology.
- Qualifications: Proficient in coding, systems architecture, and AI tools; mentoring experience is a plus.
The predicted salary is between 80000 - 100000 £ per year.
We're looking for a builder who moves fast from idea to production — someone who can own agentic systems end-to-end and directly increase the operational capacity of the Treasury team.
- Advanced proficiency with coding agents across complex development scenarios.
- Experience architecting multi-service systems, including complex persistence, integrations, and scaling.
- Understanding of distributed systems tradeoffs and cloud-based infrastructure design.
- AI tool fluency: orchestrators, automated workflows, comprehensive evaluation pipelines.
- Advanced systems architecture expertise across the full technology stack.
- Proficiency in customer discovery techniques and ability to connect technical work to business outcomes.
- Competence with design thinking, analytics tools, and funnel analysis.
- Experience guiding others on AI-first development approaches.
- Expertise in experiment modelling, funnel analysis, and data-informed decision making.
- Track record of mentoring others and elevating team capabilities.
- (Desirable) Treasury, fintech, or payments domain knowledge (cash positioning, FX, liquidity).
- (Desirable) LLM observability tools: LangSmith, Arize, Weights & Biases.
- (Desirable) AWS (S3, Glue, Redshift, Lambda); TMS/financial data providers (Bloomberg, Kyriba).
- (Desirable) Startup, founder, or cross-functional multi-product experience.
The Treasury team manages Remitly's global funding operations — optimising liquidity positions, managing funding corridors, and ensuring capital is available wherever it's needed.
Reporting to the Head of Treasury Analytics & Data Science (London), this London-based (hybrid) role sits at the intersection of LLMs, Treasury operations, and data infrastructure.
- Cash flow monitoring agents: intraday cash position tracking, reconciliation, variance flagging, and automated daily reports across accounts and currencies.
- Funding execution agents: instruction routing, approval workflows, payment scheduling, cut-off monitoring, and settlement tracking — encoded with business rules and risk parameters.
- Narrative agents: auto-generated end-of-day and intraday funding commentary, exception summaries, and context-aware alerts delivered to the right stakeholders.
- Discovery-to-deployment pipeline: structured sessions with Funding operators to identify manual tasks, then ship agents that eliminate them — reporting packs, utilisation dashboards, liquidity summaries.
- Embed within the Funding team at the outset — running existing workflows end-to-end alongside operators to develop a first-hand understanding of day-to-day processes, limitations, and pain points before a single agent is scoped or built.
- Build reusable, modular agent components and tool libraries that scale as Remitly expands into new markets and corridors.
- Contribute to Treasury-wide agent governance standards, evaluation frameworks, and shared infrastructure.
- Research and recommend emerging LLM capabilities and agentic tooling to keep the Funding function ahead of the curve.
- Partner closely with the Treasury Engineering team to develop the data accuracy, completeness, and timeliness required by Treasury Agents.
Senior AI-First Treasury Systems Engineer in London employer: Remitly
At Remitly, we pride ourselves on being an innovative employer that fosters a dynamic work culture where creativity and collaboration thrive. Our London-based Treasury team offers unique opportunities for professional growth, allowing you to directly impact global funding operations while working with cutting-edge AI technologies. With a strong emphasis on mentorship and employee development, we empower our team members to excel in their careers and contribute meaningfully to our mission of improving financial access worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI-First Treasury Systems Engineer in London
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We think you need these skills to ace Senior AI-First Treasury Systems Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Remitly, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Remitly. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Remitly
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Remitly!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
