Anson McCade

About the Company

Anson McCade is a specialist recruitment agency focusing on four primary sectors: Quant Research, Trading & Risk; Digital & Data Analytics; IT & Cyber Security; Business Change & Transformation and Strategy. With offices in London, Belfast, Paris and Sydney, Anson McCade operates globally, working on mandates across Europe, Asia and US. In an ever changing business and technological landscape, the need for exceptional, agile talent is crucial to almost every organisation’s success over the long term. We target the highest calibre, most relevant individuals possible for each mandate we undertake, achieving this through a consultative, research focused approach to networking, this in addition to access to a substantial range of resources, both in-house and on-line. Our consistent success in doing so over the years has resulted in an impressive portfolio of high-end, blue chip and boutique clients, many of whom we have worked with continuously as a premier recruitment partner for over a decade.

Anson McCade has been recognised as being instrumental in the growth of some of the world’s leading organisations and most innovative start-ups. Our consultants are industry experts who understand the challenges that many organisations face in today’s frenetic and unpredictable technical and business climate, as well as the diversity, skills matrix variance and mix of ambitions and expectations of the candidates we work with.

Follow us for the latest news, industry insights and opportunities.

Listed Jobs

Company Name

Anson McCade

Job Title

Data Analyst

Job Description

**Job Title:** Data Analyst **Role Summary:** Provide advanced analytic support for high‑value national projects by transforming complex, large‑scale datasets into actionable insights. Deliver interactive dashboards, develop reusable queries, and collaborate with stakeholders to inform decision‑making and drive data‑driven improvements across secure environments. **Expectations:** - Deliver clear, concise analyses to technical and non‑technical audiences. - Work independently while collaborating across cross‑functional teams. - Maintain rigorous data governance, quality, and privacy standards. **Key Responsibilities:** 1. Analyse temporal, relational, and large‑scale datasets to identify patterns, anomalies, and strategic opportunities. 2. Build, maintain, and optimise interactive dashboards (e.g., OpenSearch, Tableau) to visualise key metrics. 3. Translate business requirements into effective data solutions and technical specifications. 4. Create, document, and automate SQL queries, Python scripts, and ad‑hoc reports. 5. Drive continuous improvement of data models, processes, and governance practices. 6. Present findings, insights, and recommendations to stakeholders at all levels. **Required Skills:** - Proficiency in Python (pandas, NumPy, Matplotlib) for data manipulation and analysis. - Strong SQL competence and experience with relational databases. - Hands‑on experience with graph databases (e.g., Neo4j). - Ability to construct dashboards using OpenSearch or equivalent tools. - Solid understanding of data quality, governance, and privacy principles. - Excellent written and verbal communication skills. - Self‑motivated, proactive, and collaborative mindset. **Required Education & Certifications:** - Bachelor’s degree or equivalent in a quantitative discipline (Statistics, Computer Science, Mathematics) preferred. - Current high‑level UK Government security clearance (eligible for ongoing renewal). - UK nationality required.

Frimley, United kingdom

Hybrid

24-11-2025

Company Name

Anson McCade

Job Title

Data Scientist

Job Description

Job title: Senior Data Scientist Role Summary: Lead and deliver advanced AI/ML solutions for UK defence and public sector clients. Drive data science strategy, design secure, deployable models, and mentor project teams through end‑to‑end delivery. Expactations: • Hold a current UK Sensitive Compartmented Information (SC) clearance (or DV equivalent). • Sole British citizenship. • Minimum 5+ years in data science or a quantitative discipline with senior‑level project leadership. • Proven ability to translate complex requirements into practical, defensively relevant AI solutions. Key Responsibilities: • Define technical scope and feasibility for multi‑client data science projects. • Design, implement, and validate bespoke machine learning, NLP, and Bayesian inference models. • Collaborate with software engineers, product designers, and stakeholders to integrate secure AI workflows. • Mentor junior data scientists, facilitating knowledge transfer and growth. • Contribute to the broader data science ecosystem via open‑source work, presentations, or training. • Manage project timelines, deliverables, and client expectations. Required Skills: • Fluency in Python; mastery of NumPy, Pandas, Scikit‑Learn. • Experience with deep learning frameworks (PyTorch, TensorFlow, or equivalent). • Strong mathematical and statistical foundation (ML theory, probability, inference). • Proficiency in SQL, data pipelines, and API integration. • Effective communication and stakeholder engagement. • Team leadership and agile project management. Required Education & Certifications: • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field. • SC clearance (DV clearance acceptable); British citizenship required.

London, United kingdom

On site

24-11-2025

Company Name

Anson McCade

Job Title

Machine Learning Quantitative Researcher

Job Description

**Job Title** Machine Learning Quantitative Researcher **Role Summary** Design, develop, and deploy machine‑learning and AI models for proprietary trading systems, and explore new trading ideas through research and experimentation. **Expectations** - Deliver end‑to‑end ML model pipelines from data ingestion to fine‑tuning. - Apply state‑of‑the‑art techniques in transformers, generative models, and reinforcement learning. - Publish results in top ML conferences or journals (NeurIPS, ICLR, ICML, JMLR, etc.) or obtain comparable academic/industry recognition. **Key Responsibilities** - Create and maintain data processing pipelines for financial datasets. - Build prototypes, validate, and optimize ML models for trading signals. - Integrate trained models into live trading infrastructure and monitor performance. - Conduct research to develop innovative trading strategies. - Collaborate with quantitative analysts and software engineers to align model outputs with trading goals. - Continuously test, iterate, and document models, ensuring reproducibility. **Required Skills** - Proven experience training ML models end‑to‑end, including data preprocessing, feature engineering, training, and fine‑tuning. - Expertise in transformer architectures, generative modeling, and reinforcement learning applied to time‑series or trading data. - Strong proficiency in Python, PyTorch or TensorFlow, and data‑science libraries (pandas, NumPy). - Familiarity with version control (Git) and CI/CD pipelines for model deployment. - Solid mathematical foundation in probability, statistics, and optimization. - Ability to translate research into production systems and communicate results clearly. **Required Education & Certifications** - Ph.D. in Computer Science, Statistics, Applied Mathematics, or a closely related field. - Publications in top-tier ML conferences (NeurIPS, ICLR, ICML, JMLR, etc.) or equivalent scientific journals, or demonstrable experience at leading academic or industry institutions.

London, United kingdom

On site

24-11-2025

Company Name

Anson McCade

Job Title

AI Solution Engineer

Job Description

Job Title: AI Solution Engineer (Consulting) Role Summary: Serve as the technical liaison among industry architects, sales teams, and engineering groups to design, validate, and prototype AI/ML solutions on cloud platforms. Deliver client-facing demonstrations that showcase tangible business value, support the sales cycle, and inform proposal development. Expectations: - Provide expert guidance on AI/ML solution architecture, feasibility, and market fit. - Translate complex technical requirements into clear, stakeholder‑aligned narratives. - Drive cost‑effective, secure, and performant cloud deployments. - Influence sales outcomes and contribute to business development. Key Responsibilities: 1. Design viable AI/ML solutions aligned with client use‑cases and technical constraints. 2. Build and present prototype AI solutions that illustrate value to technical and non‑technical audiences. 3. Act as trusted advisor throughout the sales cycle, supporting solution selection and early‑stage engagement. 4. Advise on cloud AI platform capabilities across vendors (AWS, GCP, Azure, OpenAI). 5. Translate technical concepts into clear explanations for prospects and internal teams. 6. Assist proposal development by identifying feasible architectures, dependencies, and success criteria. 7. Ensure solutions meet cloud security, landing zone, performance, and cost‑optimum standards. Required Skills: - Proven experience partnering with sales to shape enterprise AI/ML or software solutions. - Deep knowledge of AI model architecture, including LLMs and SLMs, performance, training, suitability, and deployment. - Hands‑on expertise with at least two of: AWS Bedrock / SageMaker, Google Vertex AI, Azure ML, OpenAI. - Strong foundation in statistics, machine learning, data science, big data, and data engineering. - Understanding of cloud security, landing zones, and FinOps for AI workloads. - Excellent communication, stakeholder influencing, and problem‑solving abilities. Required Education & Certifications: - Bachelor’s (or higher) degree in Computer Science, Data Science, Machine Learning, or related field. - Relevant cloud AI certifications (e.g., AWS Certified Machine Learning – Specialty, Azure AI Engineer Associate, Google Professional Machine Learning Engineer) or equivalent experience.

London, United kingdom

Hybrid

24-11-2025