Business Data Analyst - Price Risk Strategic Data

Morgan McKinley
Belfast
5 days ago
Create job alert

Business Data Analyst - Price Risk Strategic Data

Contract Duration: Until 31st of December 2025

Location: Belfast, UK (3 days onsite, 2 days WFH)


Job Description:

The role will be part of a core central project execution team, charged with ensuring the timely execution of Price Risk deliverables across all workstreams, whilst imparting their subject matter expertise and know-how of business analysis techniques, project execution and delivery.


We are looking for a seasoned business analyst with experience and knowledge in trade population control framework and data quality controls within the 1LoD/2LoD.


Primary Responsibilities:

• Support the PR Program Initiative lead(s) to drive execution of the Price Risk Data regulatory book of work through to business adoption

• Support control enhancements related to trade population completeness, critical data element (CDE) data quality validations

• Assist with the definition of 1LoD controls to improve data quality and other monitoring controls

• Document business requirements to enable the implementation of 1LoD preventative and detective controls

• Perform control gap assessments and identify enhancements needed

• Understand the data quality issues aligned with that data set including end to end data flows and controls and ensure these are addressed in the defined target state solution with robust controls

• Support strategy execution against the designed target-state control-framework for Price Risk, including business analysis, data analysis, practical testing and implementation

• Monitor and oversight over trade and CDE data controls, including data quality metrics

• Support in driving standardized and consistent mechanisms to evidence controls and supervision, and ensure alignment with longer term infrastructure initiatives

• Lead/participate in working groups/scrums with stakeholders and technology partners to manage the delivery within the agreed timeline(s)

• Identify Risks & Issues and proactively seek to resolve or escalate them in a timely and well-articulated manner

• Produce accurate and insightful project update materials and artifacts, tailoring to various forums and committees

• Support the business through UAT, E2E and production parallel testing

• Assist in ensuring that all target state tools, processes and controls are socialized effectively

Skills:

• Candidates must have demonstrable 10+ years' experience as a Business Analyst including trade and CDE data controls, data analysis, business requirement documentation, implementation and UAT testing, through to business adoption

• Robust understanding of typical data structures and knowledge on financial products

• Significant experience with designing and monitoring key controls in a trading environment

• Business analysis and change management expertise in delivering complex solutions are essential (preferably including proficiency with project management tools such as JIRA, MS Project)

• Strong controls mindset, identifying and mitigating risks, communicating and escalating concerns

• Strong relevant industry experience within the Financial Industry, in particular within the 1LoD/2LoD

• Self-starting with proven ability to hit the ground running

• Excellent oral and written communications skills; must be articulate and persuasive with the judgement and authority to provide insightful commentary to senior stakeholders

• Ability to handle complexity, ambiguity and a fast changing, often demanding work environment

• Ability to drive change to business practices by working effectively across a global organization

• Demonstrated analytical skills with follow-up and problem solving capability

• Build strong relationships, adopting a joined-up approach, to support the execution of project

• Familiarity with Agile methodologies/principles and their application in a large scale transformation

Related Jobs

View all jobs

Business Data Analyst

Business Data Analyst - Price Risk Strategic Data

Business Data Analyst BELFAST £600/day Banking

Business Data Analyst

Business Data Analyst

Factsheet Business and 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.

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

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.