Data Analyst - Compliance

London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

We are AMS. We are a global total workforce solutions firm; we enable organisations to thrive in an age of constant change by building, re-shaping, and optimising workforces. Our Contingent Workforce Solutions (CWS) is one of our service offerings; we act as an extension of our clients' recruitment team and provide professional interim and temporary resources.

Our client, a major UK retail bank, provides every day banking services to over 17 million retail customers. The banks expertise and services span across Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking.

On behalf of this organisation, AMS are looking for a Data Analyst - Compliance for a 6 Month contract based in London - hybrid working.

Purpose of the Role:

As a Data Analyst, you'll be integral to delivering high quality Compliance Data Analytics solutions. You will be extracting, storing, manipulating, processing, and analysing data. Additionally, you'll develop and execute standard queries to ensure data quality, identify inconsistencies, and address missing data. Your role will be crucial in maintaining data integrity and supporting compliance efforts through meticulous data management and analysis.

As a Data Analyst - Compliance you will be responsible for:

Gathering, profiling, and mapping relevant data for use in new or existing solutions, as well as for ongoing data activities. This ensures that the data used is appropriate and accurate.
Building and maintaining reporting outputs and create SQL scripts based on requirements communicated by stakeholders. This involves translating stakeholder needs into technical specifications.
Conducting analysis across multiple compliance data sources to draw meaningful and actionable insights. This helps in identifying trends, patterns, and potential areas of concern.
Assisting in interpreting compliance risk management requirements and translating them into functional or data requirements and process models. This ensures that compliance needs are accurately reflected in data solutions.
Building and maintaining collaborative partnerships with key business stakeholders. This fosters effective communication and ensures that data solutions align with business objectives.What we require from the candidate:

Possess a comprehensive understanding of how data interrelates across multiple domains. This knowledge is crucial for ensuring data integrity and effective data integration.
SQL via any recognised offering (e.g. SQL Server BigQuery), Tableau and/or Power BI development skills, Dataiku analytics skills.
Excellent communication skills and the ability to articulate findings in a consumable manner for stakeholders.
An enthusiasm for learning, proactivity in approach and a strong attention to detail.Next steps

This client will only accept workers operating via an Umbrella or PAYE engagement model.

If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.

AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Careers

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Jobs

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

Careers

Career Paths in Machine Learning: From Entry-Level Roles to Leadership and Beyond

Machine learning has rapidly transformed from an academic pursuit to a cornerstone of modern technology, fueling innovations in healthcare, finance, retail, cybersecurity, and virtually every industry imaginable. From predictive analytics and computer vision to deep learning models that power personalisation algorithms, machine learning (ML) is reshaping business strategies and creating new economic opportunities. As demand for ML expertise continues to outstrip supply, the UK has become a vibrant hub for machine learning research, entrepreneurship, and corporate adoption. Whether you’re just starting out or have experience in data science, software development, or adjacent fields, there has never been a better time to pursue a career in machine learning. In this article, we will explore: The growing importance of machine learning in the UK Entry-level roles that can kick-start your ML career The skills and qualifications you’ll need to succeed Mid-level and advanced positions, including leadership tracks Tips for job seekers on www.machinelearningjobs.co.uk By the end, you’ll have a clear view of how to build, grow, and lead in one of the most exciting fields in modern technology.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.