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Capital.com

Capital.com

capital.com

2 Jobs

958 Employees

About the Company

We are on a mission to make the world of finance more accessible, engaging and useful.

With a focus on simplicity, ease of use, speed and power - we aim to develop the best trading service on the market. We are a fintech company with deep expertise in trading, markets, blockchain, technology, customer centricity and financial regulation.

We currently live across Europe and beyond in 23 languages. We provide great customer service to accompany our smart news feed, intelligent financial content, a broad range of education, and a wide range of markets for our clients to trade. Capital Com (UK) Limited is authorised and regulated by the Financial Conduct Authority (FRN 793714). Capital Com SV Investments Limited is authorised and regulated by the Cyprus Securities and Exchange Commission (Licence No. 319/17). Capital Com Australia Limited is registered in Australia and regulated by the Australian Securities and Investments Commission (ASIC). AFSL 513393.

Experienced, talented and knowledgeable, our Capital.com team works to innovate in the world of finance and customer-centricity. We do the hard work to make complicated subjects easier to understand and complex tasks effortless to achieve.

We are always looking for like-minded people and are ready to seize the opportunity to cooperate with leaders in the financial ecosystem - Universities, Technology Partners, Innovators, Regulators, or Complementary Businesses.

Join our team: capital.com/careers

CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 74% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money.

Listed Jobs

Company background Company brand
Company Name
Capital.com
Job Title
Head of Risk Management (Digital Assets)
Job Description
Job title: Head of Risk Management (Digital Assets) Role Summary: Senior executive responsible for designing, implementing and continuously improving Capital Vault’s enterprise risk framework across financial, operational, cyber and asset‑specific domains to meet SCA, CySEC, FCA and other regulatory standards. Expectations: - Lead enterprise risk governance and steering of risk culture at board level. - Deliver accurate, timely risk reporting and escalation in compliance with regulatory expectations. - Ensure all risk mitigation controls are audit‑ready, documented and aligned with governing regulations. - Drive operational resilience, crisis response, and product risk assessment for new digital‑asset offerings. Key Responsibilities: - Develop and maintain a tailored risk management framework for a regulated crypto platform. - Identify, assess and monitor material risks across custody, exchange, wallets, payments, staking, liquidity, credit, and technology. - Define and adjust risk appetite and tolerance thresholds in partnership with the board. - Chair Risk Management Committee; produce risk reports for board and regulators. - Maintain comprehensive risk register; ensure timely escalation of emerging risks. - Collaborate with Compliance, Internal Audit, cybersecurity, and technology teams to uphold strong control environment. - Conduct scenario analyses, operational risk assessments, and risk‑control self‑assessments (RCSAs). - Evaluate risk controls for hot/cold wallet segregation, private key management, ledger integrity and cyber threat mitigation. - Monitor compliance with SCA, MiCA, UK MLR2017 and other jurisdiction‑specific risk obligations. - Perform product risk assessments, secure end‑user risk disclosures, and secure regulatory alignment for new crypto offerings. Required Skills: - Strong strategic risk oversight and governance experience. - In‑depth knowledge of crypto‑specific risks: custody, blockchain analytics, liquidity sourcing, custody tools (e.g., Fireblocks). - Proven track record managing risk in regulated fintech environment (SCA, CySEC, FCA). - Familiarity with risk‑management frameworks (ISO 27001, NIST). - Ability to translate regulatory requirements into actionable controls. - Excellent stakeholder communication, board‑level presentation and report writing skills. - Strong analytical, problem‑solving and decision‑making abilities. Required Education & Certifications: - Bachelor’s degree in Risk Management, Finance, Economics, Engineering or related field. - 7+ years of risk‑management experience, 3+ years in crypto, fintech or capital markets. - Professional risk certification (FRM, PRM or equivalent) preferred. - Exposure to regulatory capital calculation, stress testing for crypto businesses, and familiarity with MiCA, SCA Cat7, UK MLR2017 is a plus.
London, United kingdom
Hybrid
Senior
01-02-2026
Company background Company brand
Company Name
Capital.com
Job Title
AI Product & Research Engineer
Job Description
Job Title: AI Product & Research Engineer Role Summary: Lead the creation of AI‑driven products and prototypes, turning LLM concepts into production-ready demos and production services. Expectations: • Rapidly develop and ship Python/TypeScript prototypes. • Communicate AI value to cross‑functional teams. • Own end‑to‑end delivery from idea to production deployment. Key Responsibilities: 1. Prompt engineering and orchestration for OpenAI, Cohere, Anthropic APIs. 2. Build multi‑step chains with LangChain, LlamaIndex or custom logic. 3. Design and maintain AI microservices (FastAPI, Docker, Kubernetes). 4. Implement vector search pipelines: ingest, embed, index with Pinecone, FAISS, Weaviate. 5. Deliver interactive demos using Streamlit, Gradio, or Next.js. 6. Build MLOps CI/CD (GitLab Actions, Airflow), experiment tracking (MLflow), and model monitoring. 7. Participate in code reviews, architecture discussions, and sprint planning. Required Skills: - Python programming (advanced). - LLM API integration (OpenAI, Hugging Face, Cohere, Anthropic). - Prompt engineering expertise with LangChain or LlamaIndex. - Experience with vector databases (Pinecone, FAISS, Weaviate). - Rapid prototyping with Streamlit, Gradio, or Next.js. - Containerization (Docker) and orchestration (Kubernetes) knowledge. - CI/CD, MLOps, experiment tracking, monitoring. - Strong communication and business framing of AI solutions. Required Education & Certifications: - Master’s degree in Computer Science, AI, Machine Learning, or related field. ---
London, United kingdom
Hybrid
17-02-2026