Risk Practitioner

Preston
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Risk Modelling Data Scientist

Hydrologist/Senior Environmental Data Scientist

Consumer Lending Data Scientist

Consumer Lending Data Scientist

Consumer Lending Data Scientist

Data Scientist

Westlakes Recruit are currently recruiting for a Risk Practitioner to be engaged on a contract basis, based in Preston (hybrid working).

Role Responsibility
Main Responsibilities for Risk Practitioner:

Support the implementation of Project Risk management processes.
Undertake analytical analyses, e.g. Schedule Risk Analysis, Cost Risk Analysis at a Programme and Project level.
Reporting and presenting analytical outputs to internal and external customers.
Supporting, training and guiding Project Team members in the use of risk and issues toolsets.
Identification of risk process improvement opportunities and best practice implementation.
Provide governance and assurance with regard to the implementation of Risk Management Processes and data quality requirements.
Input to Lessons Learned process.
Produce reporting to comply with the Company risk policy.
Lead on facilitating identification, assessment, management and analysis of risks within the portfolio of Programmes and projects.
Assist with identification of and recording of appropriate risk mitigation activities which are measurable and specific, along with assessing the post mitigated positions.
Supporting the Project teams on a daily basis to maintain detailed risk registers.
Ensuring that Key Risk Indicators (KRIs) are regularly reviewed.
Working alongside Project Managers to contribute to the creation of robust, objective and accurate reporting at a portfolio, Programme and project level.
Support the production of and Reporting latest risk positions and mitigations to stakeholders through regular governance meetings and reviews.
Monitor identification and closeout of Program level issues.The Ideal Candidate
Essential Criteria for Risk Practitioner:

Working knowledge, experience of risk management tools (such as ARM) and applying in complex and multi - stakeholder environments.
Experience of producing, presenting and reporting of analytical outputs.
Support the improvement of and delivering results against clear and measurable targets and standards.
Demonstrable evidence of Project Management competences in Risk Management.
Demonstrable evidence of Project Management competences in Stakeholder Management, Planning and Governance. For more information on this role or to register your interest for future job updates, please visit

Why We're Different: Westlakes Recruit are a people solutions business that understands the complexities of nuclear and the importance of our clients' mission critical objectives.

Smarter, faster, more agile - we have a laser focus on nuclear, with deep sectoral knowledge.

We develop nuclear talent pools before you know you need them! We do Nuclear. We only do Nuclear. We do all of Nuclear.

Powering a Diverse Nuclear Future: As an equal opportunities business, we value applications

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.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.