Risk Manager

Warrington
8 months ago
Applications closed

Related Jobs

View all jobs

Fixed Income Quantitative Developer

Fixed Income Quantitative Developer

Quantitative Developer

Quantitative Developer

Alpha Data Services – Data Analyst, Assistant Vice President

Data Analyst - IRR

Westlakes Recruit are currently recruiting for a Risk Manager to be engaged on a permanent basis, based in any of our clients UK office locations.

Assist the Head of Risk in leading the application of risk management processes and systems
Facilitation of risk identification workshops and reviews both internally and client facing
Support the development of risk responses and actions including monitoring and reporting through to risk closeout
Perform quantitative and qualitative risk analysis through assessment of the risks, interpret the results and apply analysis to assess appropriate allowances for risk.
Provide intelligent advice, training, coaching and challenge to both internal and external stakeholders
Preparation of Framework and Client specific monthly reports
Contribute to progress meetings, as required, in support of the Project/ Program Manager(s)
Regular interfacing and integration with the project controls team to maintain an aligned cost risk and schedule position with the Project Plan.Here's What You'll Need:

Understanding of the relationship between risk management and controls/management functions including project management, change control, planning & scheduling, cost & commercial management, and reporting
Experience in the application of Quantitative Risk Analysis (QRA) techniques and tools, for example- @Risk, SAFRAN, Primavera Risk Analysis, Acumen Risk etc
Ability to motivate and liaise with team members and discipline leads to ensure that risk information is as agreed with client and other stakeholders.
Exceptional interpersonal and communication skills and personal resilience to working under pressure and with different styles of leadership.
Strong analytical skills and problem-solving skills
Professional level associated qualifications or Postgraduate qualifications (i.e. undergraduate/postgraduate degree, IRM Diploma or Certificate, APM Risk Certificate, PMI-RMP, MoR Practitioner)
7 years' + experience with strong working knowledge of risk management in a project execution related environment
Appropriate Membership of one or more risk management / project management professional bodies (i.e. IRM / APM)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.

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.