Paritas Recruitment

About the Company

Paritas Recruitment is a specialist Audit (Business & IT), Risk (Credit, Market, Operational, Quantitative, Regulatory), Compliance and Data Engineering, Data Science, Machine Learning and Technology recruitment agency established to offer our clients and candidates a more personalised and effective service.

Our skilled and experienced team of Directors and Consultants recruit across the whole financial services sector, e-commerce, consultancy, healthtech, oil & gas, retail, artificial intelligence, technology and more.

If you are seeking a career change or just advice, we are more than happy to offer you our years of recruitment experience to advise and direct you as best we can, as well as outlining a range of interesting market opportunities.

Listed Jobs

Company Name

Paritas Recruitment

Job Title

Senior Java Software Engineer

Job Description

Job Title: Senior Java Software Engineer Role Summary: Lead architect and developer of high‑traffic Java microservices for a large banking platform, responsible for end‑to‑end delivery from design through deployment and optimisation. Expectations: - Own microservice development for consumer‑facing systems handling thousands to millions of concurrent users. - Deliver production‑ready, scalable, secure services on an agile, CI/CD‑driven pipeline. Key Responsibilities: - Design, implement, test, deploy, and optimise Java microservices in a distributed environment. - Participate in all phases of the software lifecycle: requirements analysis, architecture design, coding, testing, CI/CD integration, and post‑deployment monitoring. - Ensure performance, scalability, security, and observability of services. - Collaborate closely with cross‑functional teams (product, devops, QA, security). - Maintain and improve documentation, coding standards, and best‑practice guidelines. Required Skills: - Strong Java (Spring/Spring Boot) development expertise. - Proven experience building and scaling microservices for high‑traffic applications (e.g., e‑commerce, media, streaming). - Hands‑on knowledge of containerisation (Docker), orchestration (Kubernetes), and cloud‑native patterns. - CI/CD pipeline implementation using tools such as Jenkins, GitLab CI, or equivalent. - Performance tuning, caching strategies, load balancing, and database optimisation. - Security fundamentals for distributed systems (authentication, authorization, OWASP guidelines). - Observability and monitoring (Prometheus, Grafana, ELK stack, etc.). - Agile development practices (Scrum/Kanban) and collaboration tools (Jira, Confluence). Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. - Optional certifications: Oracle Certified Professional – Java SE, Spring Professional, DevOps or cloud platform certifications (AWS, Azure, GCP).

London, United kingdom

Hybrid

Senior

03-12-2025

Company Name

Paritas Recruitment

Job Title

SAP SuccessFactors ECP Consultant

Job Description

**Job title** SAP SuccessFactors Employee Central Payroll (ECP) Consultant **Role Summary** Provide subject‑matter expertise on SAP SuccessFactors Employee Central Payroll within a 12‑month enterprise transformation program. Own key workstreams, deliver lifecycle management, advise the client’s IT function, conduct system assessments, facilitate workshops, and mentor junior staff. Act as a strategic partner across multiple project teams to drive technology and process improvements. **Expectations** - Lead the full Systems Development Life Cycle (SDLC) for ECP enhancements. - Serve as the primary SME for Employee Central Payroll, delivering expert guidance. - Conduct thorough assessments of existing payroll systems and recommend improvements. - Facilitate stakeholder workshops, capture requirements, and align cross‑functional teams. - Develop and present strategic recommendations to senior management. - Mentor and coach junior consultants, ensuring best‑practice application. - Influence decision‑making and collaborate with multiple internal and external teams. **Key Responsibilities** 1. Own end‑to‑end SDLC activities: analysis, design, configuration, testing, and deployment of ECP solutions. 2. Conduct audits of current payroll processes and systems, identify gaps, and propose remediation. 3. Lead and moderate workshops with business and technical stakeholders to gather detailed requirements. 4. Translate requirements into functional specifications and system design documents. 5. Provide expert advisory support to the client’s IT and payroll teams, acting as a liaison between business and technical layers. 6. Deliver presentation of findings and recommendations to executive committees. 7. Mentor and train junior team members, reinforcing best practices in SAP ECP implementation. 8. Participate in cross‑team collaborative initiatives, contributing to governance and risk management. 9. Ensure adherence to project timelines, budgets, and quality standards throughout the engagement. **Required Skills** - Deep proficiency in SAP SuccessFactors Employee Central Payroll (ECP). - Strong command of Systems Development Life Cycle (SDLC) methodologies. - Proficiency in Application Lifecycle Management (ALM) tools and practices. - Demonstrated experience leading and influencing cross‑functional teams. - Excellent communication, stakeholder engagement, and presentation abilities. - Leadership skills in mentoring and coaching junior consultants. **Required Education & Certifications** - Bachelor’s degree in Information Technology, Business, Finance, or related discipline. - SAP Certified Application Associate – Employee Central Payroll (preferred). - Relevant SAP SuccessFactors certifications or equivalent experience. ---

Reading, United kingdom

Hybrid

08-12-2025

Company Name

Paritas Recruitment

Job Title

Lead Data Scientist - Energy

Job Description

Job Title: Lead Data Scientist – Energy Role Summary: Lead and innovate data science initiatives in an energy trading context, driving the design, development, deployment, and ongoing maintenance of machine learning models that optimize trading strategies and decision support systems. Work collaboratively with engineering and business stakeholders to translate complex problems into actionable, production-grade solutions. Expectations: - Deliver end-to-end data science solutions within a high‑velocity trading environment. - Lead cross‑functional teams, ensuring clear communication of analytical insights and model outcomes. - Mentor junior data scientists and facilitate knowledge sharing. Key Responsibilities: 1. Build, test, and deploy scalable machine learning and statistical models for trading and commercial optimization. 2. Collaborate with data engineers and software developers to integrate models into enterprise production pipelines. 3. Conduct exploratory data analysis, feature engineering, and model validation to provide actionable insights. 4. Own the full data science lifecycle—from hypothesis formation and rapid prototyping to production rollout and post‑deployment monitoring. 5. Develop GenAI/LLM‑driven applications, documenting use cases and presenting results to technical and non‑technical audiences. 6. Write maintainable, well‑documented code and review code from peers, maintaining high code quality in complex systems. 7. Participate in technical reviews, architecture discussions, and continuous improvement initiatives focused on value delivery. Required Skills: - Proficient in Python (or equivalent object‑oriented language such as Java) for data science, model development, and production tooling. - Strong foundation in statistics, machine learning algorithms, and advanced mathematical concepts. - Experience deploying production‑grade models in complex, data‑intensive environments, preferably in trading or finance. - Advanced SQL expertise for data extraction, transformation, and performance optimization. - Familiarity with modern data science tooling, including large language models (LLMs), retrieval‑augmented generation (RAG), and other generative AI frameworks. - Excellent written and verbal communication; adept at conveying technical concepts to diverse audiences. - Comfortable with technical interview formats (live coding, OOP design, SQL challenges). Required Education & Certifications: - Bachelor’s degree or higher in Computer Science, Applied Mathematics, Statistics, Engineering, or related quantitative field. - Industry‑recognized certifications (e.g., Certified Analytics Professional, AWS Certified Machine Learning – Specialty) are a plus.

London, United kingdom

Hybrid

Senior

05-01-2026

Company Name

Paritas Recruitment

Job Title

Data Scientist

Job Description

Job Title: Data Scientist – Trading (Inside IR35 Contract) Role Summary: Design, develop, and production‑grade data science solutions for oil & gas trading, collaborating with data engineers, software engineers, and business stakeholders to deliver actionable insights. Expectations: - Deliver scalable, reusable data science products within complex environments. - Translate business needs into analytical solutions and communicate results clearly. - Maintain high code quality, documentation, and reproducibility. Key Responsibilities: - Build and maintain statistical and machine‑learning models in Python or Java. - Prototype, test, and productionize data science workflows with data engineers and software engineers. - Perform advanced SQL queries to extract, transform, and analyze large datasets. - Apply modern data‑science tools (LLMs, RAG, etc.) across the data lifecycle. - Produce business‑driven insights and present findings to stakeholders. - Document modeling processes, assumptions, and results. - Collaborate closely with cross‑functional teams (data scientists, data engineers, business managers). Required Skills: - 5+ years of professional data science experience. - Proficiency in an object‑oriented language (Python, Java). - Deep understanding of statistics and machine‑learning theory. - Advanced SQL knowledge. - Experience with LLMs, Retrieval‑Augmented Generation, or similar tools. - Strong written and verbal communication skills. - Customer‑centric, pragmatic mindset focused on value delivery and rapid execution. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or related field. - Relevant certifications (e.g., Microsoft Certified: Azure Data Scientist Associate, TensorFlow Developer Certificate) are a plus.

London, United kingdom

Hybrid

Mid level

05-01-2026