Compliance Officer Hybrid Working (Permanent)

Drax
Goole
1 month ago
Applications closed

Related Jobs

View all jobs

Data Protection Officer

AWS Data Engineer

Data Scientist

ML (Machine Learning) Engineer

Data Manager

Senior Data Scientist

Compliance Analyst (Surveillance) Full time, permanent We generate dispatchable, renewable power and create stable energy in an uncertain world. Building on our proud heritage, we have ambition to become the global leader in sustainable biomass and carbon removals. You’ll be joining our teams of practical doers, future thinkers and business champions. We’re enabling a zero carbon, lower cost energy future for all, and working hard to decarbonise the planet for generations to come. Day to day you’ll aid in the development and maintenance of a surveillance framework that meets Drax’s regulatory obligations to monitor trade and order activities for market abuse and facilitate with advisory and assurance compliance activities across the group’s trading and generation businesses. Using your trade surveillance system experience you will investigate alerts and calibrate abuse patterns, and feed this information to the business as required. You’ll provide support in the development and maintenance of an effective compliance framework that meets Drax’s regulatory, industry codes and generation licence obligations, protecting the business against regulatory sanctions and reputational risk to preserve Drax’s licence to operate. You’ll demonstrate an understanding of energy/financial wholesale markets and will increase your knowledge in the regulated risks associated with Energy Market regulatory framework, including but not limited to REMIT, MAR, MiFID II, EMIR, TCLC, S&P and FSMA/RAO. Your negotiation and communication skills will be key to success in this role, working collaboratively with multiple stakeholders throughout the business, including Generation, IT, Treasury, Trading & support functions, building trust, confidence and respect whilst challenging the status quo. Experience using the Scila system would be ideal, however we are more interested in your Data Analytics experience and ability to model and understand complex data sets and identify solutions to data queries! In a varying and fast-paced environment, you’ll also be involved in investigations, including large volumes of data gathering, complex analysis, conducting interviews, developing/presenting conclusions and recommendations to management. As you help us to shape the future, we’ve shaped our rewards and benefits to help you thrive and support A discretionary bonus depending on company performance · Private Healthcare with Vitality · SAYE (Sharesave): discretionary scheme from time to time · Group personal pension plan where we’ll pay up to 10% · Holiday 25 days plus bank holidays · To make this a reality, we actively work to better represent the communities we operate in, foster inclusion, and establish fair processes. Through these actions, we build the trust needed for all colleagues at Drax to contribute their perspectives and talents, no matter their background. Talk to us about flexible working! If you want to find out more about Drax, check out our LinkedIn page to see our latest news. If you’d like to have a confidential chat to discuss the role in more detail, please email -HYBRID

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.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.