Data Business Analyst

London
3 weeks ago
Create job alert

Business Data Analyst (ETRM - Energy Trading Risk Management)

Contract to start ASAP initially until 1st Aug 2025

Certain Advantage are recruiting on behalf of a globally recognized Commodities Trading client for a Data Analyst with strong skills in logical data modelling and process design, as well as specialist knowledge in Energy trading risk management systems (ideally Aligne / FIS) systems.

Role Purpose

Combine business understanding with logical data modelling and process design skills to integrate new trading businesses and enhanced activities into global operations.

The role;

Understand the key Align ETRMs with in-depth knowledge of how systems in their region interact with Risk systems and tools.
Demonstrate the understanding of market risk analytics on both a pre- and post-deal basis; including, but not limited to, Value at Risk (VaR), VaR Scenario Analysis, Stress Testing & Risk Metric reporting & PnL Explained reporting.
Demonstrate the understanding of credit risk analytics on both a pre- and post-deal basis; including, but not limited to, Potential Future Exposure (PFE), portfolio analytics, expected credit loss (ECL), credit value adjustment (CVA), credit reserves and cost of credit analysis.
Collaborate with and support Commercial / Credit / Market Risk / Valuation teams with production reporting, transformation projects etc.,
Ability to link technical solutions with business requirements when working with business partners.
Precisely capture business problems, value drivers, and functional/non-functional requirements, including security, usability, data, and supportability considerations.
Translate business requirements into functionality and assess the risks, feasibility, opportunities, and business impacts of various solution options.
Assess and model processes, data flows, and technology to understand the current value and issues, and identify opportunities for improvement.

Does this sound like your next career move? Apply today!

Working with Certain Advantage

We go the extra mile to find the best people for the job. If you're hunting for a role where you can make an impact and grow your career, we'll work with you to find it.

We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering.

If this job isn't for you, head to (url removed) and register for job alerts and career guidance tips

Related Jobs

View all jobs

Data Business Analyst

Data Business Analyst - Risk Rating & Pricing

Business Data Analyst - Wealth Digital Transformation

Information and Data Governance Lead

Business Data Analyst

Business & Data Analyst

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.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.