Overview
Miryco Consultants are excited to partner with a rapidly growing, VC-backed SaaS firm specializing in RegTech, aimed at revolutionizing regulatory reporting and compliance for major financial institutions. Their innovative platform automates the reconciliation, validation, and submission of complex derivative transaction data, enhancing accuracy, efficiency, and transparency across capital markets. As the company scales its data and analytics capabilities, they are on the lookout for a visionary and technically adept AI & ML Lead to drive machine learning strategy, model development, and intelligent automation initiatives throughout the platform. This opportunity is perfect for those with a solid ML engineering background, exceptional stakeholder engagement skills, and a strong understanding of financial services data, regulatory logic, or post-trade workflows.
Location: London
Please note, our client is unable to offer sponsorship for this opportunity. If you do not hear from us within five working days after submitting your application, it means you have not been shortlisted for this role. However, we will reach out should other opportunities arise that align with your skills.
For similar roles, please contact Josh Hatton and Tom Parker, and follow Miryco Consultants on LinkedIn.
Responsibilities
- Take ownership of the firm’s AI/ML strategy, aligning innovative use cases with product objectives and addressing client challenges in the financial services sector.
- Lead the design and development of ML models for tasks including classification, anomaly detection, NLP, and predictive analytics, utilizing tools such as Python, scikit-learn, PyTorch, or others.
- Collaborate with data engineering teams to build reliable, secure, and scalable data pipelines that facilitate training, inference, and monitoring of ML models.
- Drive the operationalization of ML workflows with modern MLOps tools and frameworks, ensuring reproducibility, proper versioning, and monitoring of models in production.
- Design solutions that accommodate complex structured financial data like trade reporting, EMIR/CFTC records, and regulatory schemas.
- Work closely with product management and financial services domain experts to translate ambiguous challenges into actionable ML initiatives, partnering with engineering teams to embed models into the platform.
- Keep abreast of current industry and academic trends in AI/ML, particularly those relevant to RegTech, financial data analysis, or document intelligence.
- Produce clear documentation and provide training to internal teams regarding the design, function, and behavior of ML systems.
Required Skills & Experience
- Demonstrated experience designing and deploying machine learning models in production settings.
- Strong proficiency in Python along with familiarity in ML frameworks such as scikit-learn, PyTorch, or TensorFlow.
- Experience implementing MLOps practices and tools (e.g., MLflow, SageMaker, Vertex AI, DVC).
- Knowledge of financial data models, structured datasets, and data validation techniques.
- Understanding of regulatory reporting, trade lifecycle data, or workflows in capital markets.
- Experience with cloud platforms like AWS, GCP, or Azure and scalable data solutions.
- Exceptional communication skills with the ability to convey findings to both technical and non-technical stakeholders.
Nice to Have
- Experience in RegTech, capital markets, or post-trade analytics.
- Familiarity with Snowflake, dbt, or related cloud data warehousing technologies.
- Background in anomaly detection, rule-based AI, NLP, or data reconciliation.
- Hands-on knowledge of version-controlled notebooks, CI/CD for ML, or containerization (Docker/Kubernetes).
Core Competencies
- Strong problem-solver with a data-driven approach.
- Practical and commercially aware in applying AI/ML solutions to financial services use cases.
- Independent thinker who thrives in dynamic and uncertain environments.
- Collaborative team player, eager to exchange knowledge and insights.
- Dedicated to ethical AI practices, data integrity, and model explainability.
Company: Miryco Consultants Ltd
Educational level: Senior (5+ years of experience)
Language requirements:
Level of experience (years): Senior (5+ years of experience)
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