At a Glance
- Tasks: Define and govern data models for capital markets, ensuring real-world implementation and adoption.
- Company: Join a prestigious global organisation focused on high-impact financial solutions.
- Benefits: 12-month contract, flexible 2 days per week, London base with potential travel.
- Other info: Dynamic environment with opportunities for mentorship and career growth.
- Why this job: Make a significant impact in capital markets while collaborating with top-tier professionals.
- Qualifications: Experience in data modelling within capital markets and strong software development skills.
The predicted salary is between 72000 - 108000 £ per year.
ace has partnered with a prestigious, leading global organisation to appoint an experienced Data Architect who will help define, evolve, and govern front-to-back canonical data models underpinning capital markets trading, risk, and finance outcomes. This is a high-impact role focused on models that get implemented and adopted (not documentation-only). You will work across complex capital markets workflows and modernisation programmes (standardisation, event-driven architecture, data platform uplift), partnering closely with senior stakeholders across Front Office, Risk, Finance, and Technology.
The successful candidate will be able to bridge modelling and engineering: translating logical models into implementation-ready artefacts (schemas, API contracts, event/topic models, validation rules, and transformation specs). Please note that this role is expected to be 2 days per week (advisory), based in London, with some potential EMEA travel. Start date is estimated early Q2.
Responsibilities- Define, evolve, and govern enterprise canonical data models for capital markets across the full trade lifecycle (front-to-back): order, execution, trade capture, confirmation, clearing, settlement, lifecycle events, collateral/margin, accounting impacts.
- Model complex products and lifecycle state (e.g., rates/FX/credit/eq derivatives, securities financing), with clear semantics, identifiers, lineage, and versioning.
- Apply and map industry standards:
- FpML: interpret existing trade representation/messaging and define mappings into internal canonical schemas
- ISDA CDM: model lifecycle events/states/workflows and product CDM to canonical to platform mapping specifications
- Lead modelling for ingestion and harmonisation of:
- Market data (curves, surfaces, fixings, reference data, identifiers)
- Trade data (allocations, amendments, novations, compressions, terminations, resets)
- Order data (order lifecycle, fills, venues, timestamps, audit trail)
- Partner with Front Office, Finance, Market Risk, and Credit Risk to ensure models support valuation inputs, sensitivities, exposure/netting/collateral, P&L explain, reconciliations, and reporting needs.
- Translate logical models into implementation-ready artefacts: schemas, API contracts, event/topic models, validation rules, transformation specifications, and data-quality rules.
- Establish model governance practices: naming standards, business glossary, metadata, stewardship model, change control, documentation, and versioning.
- Provide architectural input into target-state data platforms and integration patterns (e.g., event-driven, lakehouse/warehouse), and mentor engineers/analysts on model adoption.
- Proven data modeller experience in capital markets, ideally within top-tier banks or equivalent institutional environments.
- Strong front-to-back understanding with FpML and ISDA CDM (interpretation, application to real workflows, and mapping into internal canonical models).
- Strong knowledge of market data, trade data, and order data domains and their interrelationships.
- Background as an object-oriented software developer (e.g., Java/C#/C++), able to bridge modelling and engineering implementation.
- Strong modelling fundamentals: entity/event modelling, lifecycle/state transitions, identifiers, reference data, schema versioning, and lineage.
- Data/solution architecture experience (target-state modelling, integration patterns, event-driven design, canonical semantic layers).
- Certifications such as TOGAF, DAMA/CDMP, and/or cloud certifications (Azure/AWS/GCP equivalents).
- Experience implementing models into streaming and data platform ecosystems (e.g., Kafka/event hubs, lakehouse/warehouse) and establishing enterprise governance practices.
- Exposure to regulatory/reporting data domains and cross-system reconciliation frameworks.
- Initial 12-month contract
- 2 days per week advisory role
- London base with some potential EMEA travel
- Start date: estimated early Q2
About us: ace is a specialist post-digital advisory and delivery partner helping financial institutions implement high-impact automation, AI, and post-digital solutions in regulated environments. We combine deep technical expertise with a practical understanding of governance, controls, and operational risk to deliver production-grade outcomes at pace. We are part of the G MASS group, a global financial services resource augmentation and consulting firm that provides expert talent and delivery support across transformation, change, and operational resilience.
Capital Markets Data Architect in London employer: ACE
At ace, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Capital Markets Data Architect based in London, you will have the opportunity to work with leading experts in the field, engage in meaningful projects that drive real change, and benefit from flexible working arrangements. We are committed to your professional growth, providing access to cutting-edge resources and mentorship to help you excel in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Capital Markets Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the capital markets space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream role.
✨Tip Number 2
Get your LinkedIn game on point! Make sure your profile showcases your skills in data modelling and capital markets. Engage with relevant content and connect with industry leaders to increase your visibility.
✨Tip Number 3
Prepare for those interviews by brushing up on your technical knowledge. Be ready to discuss how you've translated logical models into implementation-ready artefacts, as this is key for the role we're looking at.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and take the initiative. Plus, it gives us a chance to see your application in the best light possible.
We think you need these skills to ace Capital Markets Data Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Capital Markets Data Architect role. Highlight your experience with data modelling, especially in capital markets, and any relevant projects that showcase your skills in bridging modelling and engineering.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've defined and governed data models in previous roles, and how you can bring that expertise to our team.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills! Mention your experience with FpML, ISDA CDM, and any programming languages like Java or C#. We want to see how you can translate logical models into implementation-ready artefacts.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at ACE
✨Know Your Data Models Inside Out
Make sure you have a solid grasp of canonical data models, especially in the context of capital markets. Be ready to discuss how you've defined and evolved these models in previous roles, and think about specific examples where your work led to successful implementation rather than just documentation.
✨Bridge the Gap Between Modelling and Engineering
Since this role requires translating logical models into implementation-ready artefacts, be prepared to showcase your experience in both modelling and software development. Bring examples of schemas, API contracts, or event models you've worked on, and explain how you ensured they were ready for engineering teams.
✨Familiarise Yourself with Industry Standards
Brush up on FpML and ISDA CDM, as these are crucial for the role. Be ready to discuss how you've applied these standards in real workflows and how you mapped them into internal models. This will show that you understand the industry's language and can apply it effectively.
✨Engage with Stakeholders
This position involves partnering closely with various teams like Front Office, Risk, and Finance. Think about how you've successfully collaborated with senior stakeholders in the past. Prepare to share strategies for ensuring that your models meet their needs and how you’ve facilitated communication between technical and non-technical teams.
