Financial Crime Model Risk Validation Analyst
Financial Crime Model Risk Validation Analyst

Financial Crime Model Risk Validation Analyst

Stirling Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Validate financial crime models and ensure compliance with regulations.
  • Company: M&G is a leading international savings and investments business with over 170 years of experience.
  • Benefits: Flexible working arrangements and workplace accommodations available.
  • Why this job: Join a culture of integrity and collaboration while making a real impact in financial crime prevention.
  • Qualifications: Experience in financial crime, model validation, and strong analytical skills required.
  • Other info: We celebrate diversity and welcome applications from all backgrounds, including those with disabilities.

The predicted salary is between 36000 - 60000 Β£ per year.

Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.

Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.

Through 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.

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

What we offer:

At M&G, we’re committed to helping you thrive and supporting your wellbeing, both at work and beyond. Our benefits are designed to help you balance your professional and personal life, while planning confidently for your future. Our UK benefits include:

  • As a savings and Investments firm we are proud to offer a valuable pension scheme of 18%, with 13% made up of Employer Contributions and 5% Employee Contributions. We also offer Share Save and our Share Incentive Plan, together with access to financial wellbeing and support services – to help give you real confidence to put your money to work.
  • Enjoy 38 days annual leave including bank holidays, with the opportunity to purchase up to 5 extra days and additional flexibility through our Time Off When You Need It policy – to balance your work and personal commitments.
  • Our market leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave – as supporting families is a core aspect of our inclusive culture.
  • Health & protection cover including Private Healthcare, Critical Illness cover and Life Assurance for you, with family options – for peace of mind.

To explore more about life at M&G and our full benefits offering, visit Life at M&G

We have a diverse workforce and an inclusive culture at M&G, 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.

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

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Financial Crime Model Risk Validation Analyst employer: M&G

M&G is an exceptional employer that fosters a culture of integrity, collaboration, and inclusivity, making it an ideal place for talented individuals to thrive. With over 170 years of experience in the financial sector, we offer flexible working arrangements, comprehensive support for diverse needs, and ample opportunities for professional growth within our dynamic teams. Join us in delivering impactful financial solutions while enjoying a supportive work environment that values your contributions and well-being.
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Contact Detail:

M&G Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Financial Crime Model Risk Validation Analyst

✨Tip Number 1

Familiarise yourself with the latest regulatory requirements related to financial crime in asset management and insurance. 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, especially those who work in model validation. Engaging in discussions about current trends and challenges can provide valuable insights and may even lead to referrals for job openings.

✨Tip Number 3

Brush up on your technical skills, particularly in statistical modelling and programming languages like Python or R. Being able to discuss your experience with model performance testing and anomaly detection 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. This will highlight your critical thinking skills and your proactive approach to financial crime risk validation.

We think you need these skills to ace Financial Crime Model Risk Validation Analyst

Financial Crime Risk Assessment
Model Validation Methodology
Regulatory Compliance Knowledge
AML and Fraud Model Validation
Transaction Monitoring Tools Validation
Model Performance Testing
Back-Testing and Sensitivity Analysis
Statistical Modelling for Anomaly Detection
Fuzzy Matching Techniques
Communication Skills
Critical Thinking
Problem-Solving Skills
Data Analysis 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 Experience: In your CV and cover letter, emphasise your experience with AML, fraud, and risk rating models. Provide specific examples of your independent validation work and any statistical methods you've used, such as performance testing or anomaly detection.

Showcase Technical Skills: If you have experience with programming languages like Python, R, SQL, or tools like SAS and MATLAB, make sure to mention these. Highlight any knowledge of cloud platforms or big data frameworks, as these are desired skills for the role.

Communicate Effectively: Demonstrate your strong communication skills in your application. Mention instances where you've collaborated with compliance teams or communicated complex information to senior stakeholders. This will show that you can effectively liaise across departments.

How to prepare for a job interview at M&G

✨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 impact model validation and compliance.

✨Showcase Your Technical Skills

Highlight your experience with statistical models, particularly in anomaly detection. If you have skills in programming languages like Python, R, or SQL, be ready to provide examples of how you've used them in model validation.

✨Communicate Effectively

Strong communication skills are crucial for this role. Practice articulating complex concepts clearly, especially when discussing model validation findings with senior stakeholders or collaborating with compliance teams.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your critical thinking and problem-solving abilities. Think of examples from your past experiences where you identified weaknesses in models or proposed improvements.

Financial Crime Model Risk Validation Analyst
M&G
Location: Stirling

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