Financial Crime Model Risk Validation Analyst - M&G plc.
Financial Crime Model Risk Validation Analyst - M&G plc.

Financial Crime Model Risk Validation Analyst - M&G plc.

Edinburgh Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Validate financial crime models and ensure compliance with regulations.
  • Company: Join M&G plc, a leading international savings and investments business with over 170 years of experience.
  • Benefits: Enjoy flexible working arrangements and workplace accommodations to support your success.
  • Why this job: Be part of a culture that values integrity, collaboration, and exceptional talent while making a real impact.
  • Qualifications: Experience in financial crime validation, strong analytical skills, and proficiency in statistical models are essential.
  • Other info: M&G is committed to diversity and inclusion, welcoming applicants from all backgrounds.

The predicted salary is between 43200 - 72000 £ per year.

Job Description

At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns.

Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role.

The Financial Crime Model Risk Validation Analyst is an experienced role with day-to-day responsibility for executing financial crime model validation activities.

Financial crime responsibilities:
• Define and execute financial crime model validation methodology and activities in accordance with the established validation plan and validation process
• Ensure that financial crime model validation methods are compliant with regulatory requirements.
• Attest that financial crime models have been properly validated and reported to relevant internal and external parties.
• Ensure that financial crime model validation documentation is complete, consistent, accurate, updated and approved.
• Register and follow up on financial crime model risk validation findings, identified risks and agreed actions.
• Escalate financial crime model risk validation findings issues.
• Provide expert analysis and advice relating to financial crime model risk validation.
• Support the maintenance of methodologies for 2LoD assurance and financial crime model validation.

Additional responsibilities:
• Other tasks and activities within the scope of your role or team as required from time to time.

Skill requirements:
• Experienced within financial crime and being able to demonstrate understanding of the financial crime risks inherent in the asset management and/or insurance sectors and regulatory knowledge relevant to these sectors.
• Experienced in independent validation of AML, Fraud, Risk Rating, Screening models.
• Experienced in independent validation of AML, Fraud transaction monitoring tools and associated models.
• Experienced in model performance testing, back-testing, sensitivity analysis and benchmarking for assessing model effectiveness and identifying any weaknesses, biases or vulnerabilities in the model.
• Proficiency in statistical models for anomaly detection.
• Knowledge in fuzzy matching techniques and effectiveness testing including ATL and BTL testing
• Strong communications skills, with the ability to liaise and collaborate with Compliance and Business Unit 1LoD model teams and communicate to senior stakeholders.
• Strong critical thinking and problem-solving skills.
• [DESIRED] Programme and data analysis skills in Python, R, SQL, SAS or MATLAB for model validation and analytics
• [DESIRED] Feature Engineering and algorithm optimisation including AI-driven detection techniques
• [DESIRED] Cloud platforms knowledge (AWS, Azure, GCP) and big data frameworks (Hadoop, Spark)
• (DESIRED) Experience of working with Bridger or similar screening tools

Experience Level: Experienced Colleague
Recruiter: Helen Simons

We have a diverse workforce and an inclusive culture at M&G plc, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

M&G is also proud to be a Disability Confident Leader , and we welcome applications from candidates with long-term health conditions, disabilities, or neuro-divergent conditions. Being a Disability Confident Leader means that candidates who meet the minimum criteria of a job, will be offered an interview if they 'opt in' to the scheme when applying.

If you need assistance or an alternative means of applying for a role due to a disability or additional need, please let us know by contacting us at: careers@mandg.com

Financial Crime Model Risk Validation Analyst - M&G plc. employer: M&G plc

M&G plc is an exceptional employer that fosters a culture of integrity, collaboration, and inclusivity, making it an ideal place for talented individuals to thrive. With flexible working arrangements and a commitment to employee growth, M&G offers unique opportunities for professional development in the financial services sector. The company's dedication to diversity and support for employees with disabilities further enhances its reputation as a forward-thinking organisation, ensuring that all team members can contribute meaningfully to their roles.
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Contact Detail:

M&G plc Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Financial Crime Model Risk Validation Analyst - M&G plc.

✨Tip Number 1

Familiarise yourself with the latest regulatory requirements in financial crime, especially those relevant to asset management and insurance sectors. This knowledge will not only help you understand the role better but also demonstrate your commitment to compliance during interviews.

✨Tip Number 2

Network with professionals in the financial crime sector, particularly those who work in model validation. Engaging in discussions or attending industry events can provide insights into best practices and current challenges, which you can reference in your conversations with us.

✨Tip Number 3

Brush up on your technical skills, especially in programming languages like Python, R, or SQL. Being able to discuss your experience with model performance testing and data analysis tools will set you apart from other candidates.

✨Tip Number 4

Prepare to showcase your problem-solving abilities by thinking of specific examples where you've identified weaknesses in models or improved processes. We value critical thinking, so having concrete instances ready will help you make a strong impression.

We think you need these skills to ace Financial Crime Model Risk Validation Analyst - M&G plc.

Financial Crime Risk Assessment
Model Validation Methodology
Regulatory Compliance Knowledge
Documentation Accuracy and Consistency
Risk Identification and Management
Expert Analysis in Financial Crime Models
Model Performance Testing
Back-Testing and Sensitivity Analysis
Statistical Modelling for Anomaly Detection
Fuzzy Matching Techniques
Communication Skills with Senior Stakeholders
Critical Thinking
Problem-Solving Skills
Data Analysis Skills in Python, R, SQL, SAS or MATLAB
Feature Engineering and Algorithm Optimisation
Knowledge of Cloud Platforms (AWS, Azure, GCP)
Experience with Big Data Frameworks (Hadoop, Spark)
Experience with Screening Tools like Bridger

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Financial Crime Model Risk Validation Analyst position. Tailor your application to highlight relevant experience in financial crime model validation and compliance.

Highlight Relevant Skills: In your CV and cover letter, emphasise your experience with AML, fraud detection, and model performance testing. Mention any proficiency in programming languages like Python, R, or SQL, as these are desired skills for the role.

Craft a Strong Cover Letter: Use your cover letter to tell a compelling story about your career journey. Explain how your background aligns with M&G's values and the specific requirements of the role. Be sure to mention your problem-solving skills and ability to communicate with senior stakeholders.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a role that involves compliance and risk validation.

How to prepare for a job interview at M&G plc

✨Understand Financial Crime Risks

Make sure you have a solid grasp of the financial crime risks specific to the asset management and insurance sectors. Be prepared to discuss how these risks can impact model validation and compliance.

✨Showcase Your Technical Skills

Highlight your experience with statistical models, programming languages like Python or R, and any familiarity with cloud platforms. Be ready to provide examples of how you've used these skills in previous roles.

✨Communicate Effectively

Strong communication skills are essential for this role. Practice articulating complex concepts clearly and concisely, especially when discussing model validation findings with stakeholders.

✨Prepare for Problem-Solving Scenarios

Expect to face questions that assess your critical thinking and problem-solving abilities. Prepare examples from your past experiences where you identified weaknesses in models and how you addressed them.

Financial Crime Model Risk Validation Analyst - M&G plc.
M&G plc

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  • Financial Crime Model Risk Validation Analyst - M&G plc.

    Edinburgh
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-08-13

  • M

    M&G plc

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