National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

▷ [15h Left] Risk and Control Data Analyst...

Computappoint
London
1 day ago
Create job alert

Job Description

Risk and Control Data Analyst

  • Opportunity: Permanent Position
  • Office Location: Central London (Moorgate Station)
  • Hybrid Model: 3 days per week in office, 2 days remote
  • Industry: The Global Trading firm

    Summary: Our client is seeking for a Risk & Control Data Analyst to lead compliance initiatives across their Technology and Cyber Security platforms. This critical role supports our highly regulated financial services environment and Critical National Infrastructure operations by delivering comprehensive risk and compliance management information. The ideal candidate will collaborate with senior stakeholders to produce accurate MI that enables informed decision-making for the CTO and Board level governance. This position requires strong analytical capabilities, automation expertise, and advanced data visualization skills to maintain impactful dashboards and datasets for regulatory and internal policy compliance.

    Key Responsibilities:

  • Develop and deliver timely, accurate dashboards and MI for various management forums and reports
  • Enhance, manage, and maintain reporting dashboards and associated data feeds using Power BI
  • Generate actionable insights from data analysis to recommend solutions for addressing compliance trends and gaps
  • Monitor data for compliance deviations against established Policies & Standards frameworks
  • Collaborate with stakeholder groups to discuss and resolve compliance metrics and issues
  • Maintain and update KPIs, technical procedures, and supporting documentation to ensure audit readiness
  • Ensure the function can demonstrate compliance with audit, regulatory, and governance requirements
  • Lead automation initiatives and mentor junior team members while contributing to broader IT strategic objectives
  • Execute daily team operations while meeting established Service Level Agreements

    Qualifications and Requirements:

  • Strong experience in Finance/Information Technology sector roles
  • Extensive in analysing complex datasets to identify trends, compliance gaps, and data anomalies
  • Proficiency in adjusting data visualization techniques for different audience requirements
  • Strong prioritization skills and ability to manage multiple timely deliverables
  • Effective relationship management across diverse global organizational structures
  • Strong analytical and problem-solving capabilities for complex compliance challenges

    Technical Skills Required:

  • Data Visualization: Proficiency in creating effective MI dashboards and data presentation tools
  • Analytics: Strong analytical capabilities for data set analysis, trend identification, compliance deviation detection, and KPI reporting
  • Automation: Experience with scripting and automation using Python, PowerShell, or equivalent technologies
  • Data Management: Expertise in managing complex data including transformation and normalization processes
  • Power BI: Advanced skills in creating and maintaining MI dashboards
  • Agile Delivery: Experience working within Agile frameworks (Jira, Confluence, user stories, sprints, backlogs)
  • KPI Development: Proven ability to develop metrics for IT and DevSecOps environments

    Desirable Knowledge Areas:

  • Information Technology and Information Security tooling platforms
  • Exchange industry technologies and related systems
  • Risk & Compliance Frameworks implementation
  • RESTful APIs, network protocols, and configuration technologies

    To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.

Related Jobs

View all jobs

▷ 15h Left! Quantitative Developer Intern - Global Market Engineering...

▷ 15h Left: Senior Quantitative Researcher...

▷ (15h Left) Data Scientist, AWS Industries...

▷ (15h Left) Pre Sales Data Architect...

▷ (15h Left) Data Analyst...

▷ 15h Left! Data Engineer AWS...

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.