model risk manager

Revolut

<div>About Revolut
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 65+ million customers get more from their money every day.
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the Rev-celerator Internship Programme
The Rev-celerator Internship Programme is built for ambitious students who want to make their summer count. Over 8&ndash;10 paid weeks, you&rsquo;ll work on real projects, solve meaningful challenges, and grow your skills alongside industry experts. It&rsquo;s your chance to learn, innovate, and launch an exceptional career.
Top performers may be offered a place on our Graduate Programme the following year, giving you the opportunity to return and continue your journey at Revolut.
About the role
Risk at Revolut operates across all functions, products, and regions to monitor front-line performance and ensure the business operates safely. They&rsquo;re among the first to be involved in new initiatives, from tech to customer support.
We're looking for a Risk Manager Intern to play an active role in model validation, data integrity checks, and risk assessment processes. You'll engage directly with innovative AI and machine learning models, helping to identify and mitigate potential risks that impact our financial and operational stability.
Up to shape what&rsquo;s next in finance? Let&rsquo;s get in touch.
Join us from anywhere
The Rev-celerator Internship Programme is open to international applicants ready to relocate to one of our tech hubs in Poland, Portugal, the UAE, or the UK. We&rsquo;ll support you with visa assistance, travel costs, and accommodation (conditions apply).
Key dates<ul><li>
Applications: 1 June &ndash; 14 December 2025</li><li>
Recruitment: September 2025 &ndash; January 2026</li><li>
Programme start: June/July 2026</li></ul>
What you&rsquo;ll be doing<ul><li>
Playing an active role in model validation and data integrity checks on innovative AI and machine learning models</li><li>
Assisting in critical data analysis and risk assessment tasks to strengthen the accuracy of Revolut&rsquo;s models</li><li>
Working closely with experienced risk managers and data scientists, contributing to meaningful projects that enhance Revolut&rsquo;s risk frameworks</li><li>
Developing a foundation in quantitative risk management tools and methodologies</li><li>
Contributing to robust risk controls that safeguard Revolut&rsquo;s financial health</li></ul>
What you'll need<ul><li>
To be in your penultimate year of a bachelor&rsquo;s or master&rsquo;s degree in computer science, economics, finance, maths, physics, or a similar field (graduating in 2027)</li><li>
Basic data-handling and analytical skills (Excel or similar)</li><li>
A willingness to learn programming fundamentals in Python</li><li>
Impeccable attention to detail and an eagerness to learn new skills</li><li>
Good verbal and written communication skills</li><li>
Full-time availability for Summer 2026 and the ability to travel to a Revolut office in your country of employment (this is a hybrid role)</li></ul>
Nice to have<ul><li>
Introductory knowledge of statistics or machine learning concepts (from coursework or projects)</li><li>
Exposure to programming or data visualisation (e.g., Python, Tableau)</li><li>
Prior projects or coursework related to financial services or risk</li></ul>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<ul><li>Only apply through official Revolut channels. We don&rsquo;t use any third-party services or platforms for our recruitment.</li><li>Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</li></ul>
We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice</div>

Rev-celerator Internship Programme 2026: Model Risk Manager

American Express

<div>
 
 
 At American Express, our culture is built on a 175-year history of innovation, shared
 
 
 values
 
 
 and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
 
 
 
 
 Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
 
 
 
 
 
 How will you make an impact in this role?
 
 
 
 
 Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.
 
 
 
 
 
 Purpose of the Role:
 
 
 
 
 
 The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Gen AI (Large Language Models). This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.
 
 
 
 
 
 Responsibilities include:
 
 
 
 <ul>
 <li>
 
 
 Conduct independent oversight of enterprise-wide models with a focus on Machine Learning based models for NLP/NLU, marketing, credit, fraud or other business/ risk types.
 
 
 </li>
 <li>
 
 
 Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened&nbsp;
 
 
 
 
 regulatory standards
 
 
 </li>
 <li>
 
 
 Conduct AI/ML research to explore opportunities to elevate model excellence and drive business impact
 
 
 </li>
 <li>
 
 
 Communicating results to partners, senior leadership and various model committees
 
 
 </li>
 </ul>
 
 
 
 Critical Factors to Success:
 
 
 
 
 
 Business Outcomes:
 
 
 <ul>
 <li>
 
 
 Effectively challenge the conceptual soundness , theory and approach,purpose/usages of predictive models
 
 
 </li>
 <li>
 
 
 Maximize business returns by institutionalizing efficient and accurate models.
 
 
 </li>
 <li>
 
 
 Innovate modeling techniques and variable creation
 
 
 </li>
 <li>
 
 
 Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning
 
 
 </li>
 </ul>
 
 
 Leadership Outcomes:
 
 
 <ul>
 <li>
 
 
 Put enterprise thinking first, connect the role&rsquo;s agenda to enterprise priorities and balance the needs of customers, partners, colleagues &amp; shareholders.
 
 
 </li>
 <li>
 
 
 Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
 
 
 </li>
 <li>
 
 
 Demonstrate learning agility, make decisions quickly and with the highest level of integrity
 
 
 </li>
 <li>
 
 
 Lead with a digital mindset and deliver the world&rsquo;s best customer experiences every day
 
 
 </li>
 </ul>
 
 
 
 Past Experience:
 
 
 
 
 
 0-3 years experience in analytics, modeling, data science, model risk management or relevant fields.
 
 
 
 
 
 Background:
 
 
 
 
 
 MBA, Master&rsquo;s Degree In Machine Learning, Computer Science, Statistics Or Related Fields From Top Tier Institute
 
 
 
 
 
 Functional Skills/Capabilities:
 
 
 
 <ul>
 <li>
 
 
 Hands-on model development or validation experience.
 
 
 </li>
 <li>
 
 
 Strong Analytical and Relationship and project management skills for driving validation initiatives.
 
 
 </li>
 <li>
 
 
 Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
 
 
 </li>
 <li>
 
 
 Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment. &bull; Willingness to
 
 
 </li>
 <li>
 
 
 Collaborate with Cross-Functional teams to drive validation and Project Execution.
 
 
 </li>
 <li>
 
 
 Effectively communicating complex Analytical results to Business Partners and Senior Management.
 
 
 </li>
 <li>
 
 
 Flexibility and Adaptability to Work Within tight deadlines and changing priorities.
 
 
 </li>
 </ul>
 
 
 
 Technical Skills/Capabilities:
 
 
 
 <ul>
 <li>
 
 
 Experience with at least one of the data manipulation tools such as Python, R, JAVA, is a must have. Gen AI/ Machine
 
 
 </li>
 <li>
 
 
 Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer
 
 
 </li>
 <li>
 
 
 learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models,
 
 
 </li>
 <li>
 
 
 Map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms.
 
 
 </li>
 </ul>
 
 
 
 Behavioral Skills/Capabilities:
 
 
 
 <ul>
 <li>
 
 
 Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
 
 
 </li>
 <li>
 
 
 Bring Others With You: Build the Best Team, Seek &amp; Provide Coaching Feedback, Make Collaboration Essential
 
 
 </li>
 <li>
 
 
 Do It The Right Way: Communicate Frequently, Candidly &amp; Clearly, Make Decisions Quickly &amp; Effectively, Live the Blue
 
 
 </li>
 <li>
 
 
 Box Values, Great Leadership Demands Courage
 
 
 
 </li>
 </ul>
 
 We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
 
 <ul>
 <li>
 
 Competitive base salaries&nbsp;
 
 </li>
 <li>
 
 Bonus incentives&nbsp;
 
 </li>
 <li>
 
 Support for financial-well-being and retirement&nbsp;
 
 </li>
 <li>
 
 Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)&nbsp;
 
 </li>
 <li>
 
 Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;
 
 </li>
 <li>
 
 Generous paid parental leave policies (depending on your location)&nbsp;
 
 </li>
 <li>
 
 Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;
 
 </li>
 <li>
 
 Free and confidential counseling support through our Healthy Minds program&nbsp;
 
 </li>
 <li>
 
 Career development and training opportunities
 
 
 </li>
 </ul>
 
 American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. &nbsp;
 
 
 
 
 Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
 
</div>

Analyst-Data Science

NatWest Group

<div>Join us as a Model Risk Officer<ul><li>
In this key role, you&rsquo;ll support the bank-wide policy covering the governance and control of model risk, developing, maintaining, and promoting the risk appetite setting for model risk</li><li>
You&rsquo;ll validate credit risk models used in credit decisioning and capital computation and ensure they are fit for purpose while providing effective challenge to the model development process</li><li>
We&rsquo;ll look to you to implement and maintain appropriate and proportionate mandatory procedures that define the governance of models</li><li>
You&rsquo;ll gain great exposure for you and your work, with the opportunity to develop key relationships with relevant management, colleagues, model owners, developers, and end-users</li><li>
We're offering this role at director level</li></ul><h2 class="jobSectionHeader">
What you'll do</h2>
As a Model Risk Officer, you&rsquo;ll be maintaining and controlling an aggregated bank-wide model inventory and associated model risk assessments. You&rsquo;ll support the delivery of bank-wide policy and mandatory procedures for the governance and control of model risk, including related documents required by the policy framework team.
You&rsquo;ll perform pre-implementation model validations and periodic independent reviews of credit risk models in use. Additionally, you&rsquo;ll be supporting the model risk control environment and governance process through effective tracking and proactive escalation of models related issues. This will include ensuring compliance with the operational risk framework, including RCA and you&rsquo;ll be responsible for managing and coaching a group of model validators.
You&rsquo;ll also be:<ul><li>
Working with the team to design and roll-out a bank-wide risk appetite approved by our executives and cascaded to businesses, functions, and legal entities</li><li>
Helping to enhance and maintain model validation standards and develop automated model validation tools</li><li>
Assisting all areas in having appropriate governance and minimum standards in place to enable each area to report and manage their model risk and remain within their executive&rsquo;s risk appetite</li><li>
Working across all asset classes to effectively and proactively support model risk with the management and remediation of its internal and external audit issues</li></ul><h2 class="jobSectionHeader">
The skills you'll need</h2>
We&rsquo;re looking for someone with significant experience of model reviews or the model development of relevant risk models. You&rsquo;ll need a strong understanding of the financial industry, more specifically, model-related regulatory requirements. You&rsquo;ll also have prior project management experience with a demonstrated ability to establish a clear direction and set and track objectives.
Crucial to your success in this role will be problem solving and analytical skills and your ability to communicate with and influence senior management and develop effective relationships with a range of internal and external stakeholders.
You&rsquo;ll also need:<ul><li>
Financial acumen, and the ability to grasp the different model risk indicators tied to the bank&rsquo;s assets, business lines, platforms, regions, markets, regulations, and stakeholders</li><li>
Expert knowledge of policy management and control processes across multiple lines of business</li><li>
Experience writing and proof-reading papers of sufficient quality to be submitted to regulators and auditors</li><li>
The ability to work closely with senior team members to deliver outcomes consistent with industry leading practices</li></ul></div>

Model Risk Officer, Director

<div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
How will you make an impact in this role?
Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.
Purpose of the Role:
The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Gen AI (Large Language Models). This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.
Responsibilities include:
<ul><li>Conduct independent oversight of enterprise-wide models with a focus on Machine Learning based models for NLP/NLU, marketing, credit, fraud or other business/ risk types.
</li><li>Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened
regulatory standards
</li><li>Conduct AI/ML research to explore opportunities to elevate model excellence and drive business impact
</li><li>Communicating results to partners, senior leadership and various model committees
</li></ul>Critical Factors to Success:
Business Outcomes:
<ul><li>Effectively challenge the conceptual soundness , theory and approach,purpose/usages of predictive models
</li><li>Maximize business returns by institutionalizing efficient and accurate models.
</li><li>Innovate modeling techniques and variable creation
</li><li>Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning
</li></ul>Leadership Outcomes:
<ul><li>Put enterprise thinking first, connect the role&rsquo;s agenda to enterprise priorities and balance the needs of customers, partners, colleagues &amp; shareholders.
</li><li>Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
</li><li>Demonstrate learning agility, make decisions quickly and with the highest level of integrity
</li><li>Lead with a digital mindset and deliver the world&rsquo;s best customer experiences every day
</li></ul>Past Experience:
0-3 years experience in analytics, modeling, data science, model risk management or relevant fields.
Background:
MBA, Master&rsquo;s Degree In Machine Learning, Computer Science, Statistics Or Related Fields From Top Tier Institute
Functional Skills/Capabilities:
<ul><li>Hands-on model development or validation experience.
</li><li>Strong Analytical and Relationship and project management skills for driving validation initiatives.
</li><li>Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
</li><li>Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment. &bull; Willingness to
</li><li>Collaborate with Cross-Functional teams to drive validation and Project Execution.
</li><li>Effectively communicating complex Analytical results to Business Partners and Senior Management.
</li><li>Flexibility and Adaptability to Work Within tight deadlines and changing priorities.
</li></ul>Technical Skills/Capabilities:
<ul><li>Experience with at least one of the data manipulation tools such as Python, R, JAVA, is a must have. Gen AI/ Machine
</li><li>Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer
</li><li>learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models,
</li><li>Map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms.
</li></ul>Behavioral Skills/Capabilities:
<ul><li>Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
</li><li>Bring Others With You: Build the Best Team, Seek &amp; Provide Coaching Feedback, Make Collaboration Essential
</li><li>Do It The Right Way: Communicate Frequently, Candidly &amp; Clearly, Make Decisions Quickly &amp; Effectively, Live the Blue
</li><li>Box Values, Great Leadership Demands Courage
</li></ul>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
<ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>Support for financial-well-being and retirement
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>Generous paid parental leave policies (depending on your location)
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.</div>

BOEING

Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Defense, Space & Security (BDS) is looking for MSOSA Model Technician s to join our Systems Engineering Integration & Test (SEIT) team in Hazelwood, MO. The MSOSA (Magic Systems of Systems Architect) Model Technician will be responsible for overseeing model development, validation, deployment, monitoring, and retirement activities for MSOSA models. This role ensures model performance, reliability, explainability, and compliance with internal policies and external regulations. The MSOSA Model Technician will partner with data scientists, engineers, product owners, and business stakeholders to translate business needs into robust, auditable models and sustainable operational processes. Our teams are currently hiring for a broad range of experience levels including Experienced or Lead Level MSOSA Model Technicians. Position Responsibilities<ul><li>Lead end-to-end model lifecycle management for MSOSA models: scoping, design, development oversight, testing, deployment, monitoring, and retirement.</li><li>Define and maintain model governance standards, documentation requirements, and approval workflows.</li><li>Coordinate model validation and independent review activities; ensure timely remediation of findings.</li><li>Implement and oversee model performance monitoring, drift detection, and anomaly response processes.</li><li>Ensure model explainability, interpretability, and reproducibility; maintain model lineage and version control.</li><li>Manage cross-functional teams (data scientists, ML engineers, software engineers, DevOps) to operationalize models reliably and securely.</li><li>Establish and track key model performance indicators (KPIs) and service-level objectives (SLOs).</li><li>Ensure compliance with relevant regulations, industry best practices, and internal policies (e.g., data privacy, fairness, risk management).</li><li>Facilitate stakeholder communication and provide regular reporting to business owners and leadership.</li><li>Drive continuous improvement of modeling practices, tooling, and automation (CI/CD for models, ML Ops).</li><li>Support model risk assessments and integrate model controls into enterprise risk frameworks.</li></ul>This position is expected to be 100% onsite. The selected candidate will be required to work onsite.Travel may be required up to 10% of the time; Domestically and/or internationally depending on business needs.This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)Basic Qualifications (Required Skills/Experience)<ul><li>Associate's degree and 3 or more years of related work experience or an equivalent combination of education and experience</li><li>Knowledge of model risk management and regulatory expectations relevant to the industry.</li><li>3+ years' experience using excellent communication skills and ability to translate complex technical concepts for business stakeholders.</li></ul>Preferred Qualifications (Desired Skills/Experience)<ul><li>Associate's degree and 6 or more years of related work experience or an equivalent combination of education and experience</li><li>Proven ability to lead cross-functional teams and manage multiple projects simultaneously.</li><li>Experience specifically with MSOSA model frameworks or domain-specific MSOSA applications.</li><li>Familiarity with explainability tools (SHAP, LIME), fairness and bias testing, and adversarial robustness testing.</li><li>Experience with cloud platforms (AWS, Azure, GCP) and MLOps platforms.</li><li>Prior experience in regulated industries (aviation, finance, healthcare, defense, etc.).</li><li>5+ years of experience in statistical modeling, machine learning, or related analytics roles; 2+ years in a model governance, model management, or ML Ops role preferred.</li><li>Strong understanding of model development methodologies, validation techniques, and lifecycle management.</li><li>Hands-on experience with model deployment and monitoring tools, version control, and orchestration frameworks (e.g., Docker, Kubernetes, MLflow, CI/CD pipelines).</li><li>Experience with Python and common ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost) and data-processing tools (SQL, Spark).</li></ul>Typical Education & ExperienceExperienced (Level 3)Education/experience typically acquired through advanced education (e.g. Associate) and typically 3 or more years' related work experience or an equivalent combination of education and experience (e.g. Bachelor+1 years' related work experience, 5 years' related work experience, etc.).Lead (Level 4)Education/experience typically acquired through advanced education (e.g. Associate) and typically 6 or more years' related work experience or an equivalent combination of education and experience (e.g. Bachelor+4 years' related work experience, 8 years' related work experience, etc.).Drug Free Workplace Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Employee ReferralReferral to this job is eligible for bonus to qualifying candidates. Contingent Upon AwardThis position is contingent upon award. Total RewardsAt Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range (Experienced, Level 3): $61,200 - $82,800Summary pay range (Lead, Level 4): $73,100 - $98,900 Applications for this position will be accepted until Nov. 05, 2025 Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility.Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shiftContingent Upon Program Reward The position is contingent upon program award Equal Opportunity Employer:Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.<img src="https://www.jobg8.com/Tracking.aspx?Efpc8UlCsYeCNKzTnAVfXWcC2GGuzdxRu" width="0" height="0" />

Proprietary Program Systems Engineering Technician (Experienced or Lead)

African Export-Import Bank (Afreximbank)

<div>
 <ul>
 <li>
 Contribute to the design and enhancement of the Bank&rsquo;s flagship analytical publications, including the African Trade and Economic Outlook (AETO), African Trade Report (ATR), and Debt Sustainability Analysis (DSA).
 </li>
 <li>
 Work with researchers, economists, financial analysts and IT colleagues to integrate robust quantitative modelling into research outputs and trade finance insights.
 </li>
 <li>
 Provide advanced analytical input to support evidence-based decision-making across the Bank.
 
 
 </li>
 </ul>
 
 Data Management &amp; Advanced Analytics
 
 
 
 <ul>
 <li>
 Lead the development and implementation of data management strategies, including data collection, cleaning, validation, storage and governance.
 </li>
 <li>
 Build and maintain data architectures that support large-scale, structured and unstructured data relevant to trade finance, macroeconomics, markets and customer behaviour.
 </li>
 <li>
 Develop predictive models and algorithms to forecast macro trends, assess risk and identify opportunities in trade finance.
 </li>
 <li>
 Integrate AI, machine learning and advanced analytics into economic and financial modelling to strengthen scenario analysis and forecasting.
 </li>
 <li>
 Ensure secure, compliant and high-quality data environments, including adherence to data governance and data security protocols.
 </li>
 <li>
 Communicate findings via dashboards, visualisations and reports for senior stakeholders.
 
 
 </li>
 </ul>
 
 Model Development &amp; Governance
 
 
 
 <ul>
 <li>
 Lead the design, development, backtesting, validation and documentation of models across risk categories (e.g. credit, market, liquidity, operational).
 </li>
 <li>
 Coordinate with Model Owners, Approvers, Users and the Internal Model Validation Unit to ensure models meet business, risk and regulatory requirements.
 </li>
 <li>
 Develop and implement monitoring and post-implementation review (PIR) frameworks to track model performance, usage and fitness-for-purpose.
 </li>
 <li>
 Undertake periodic recalibration, realignment and redevelopment of models to reflect evolving market conditions and risk profiles.
 </li>
 <li>
 Engage with external auditors and third-party service providers as needed on model-related matters.
 </li>
 <li>
 Stay up to date with advances in modelling and analytics, integrating innovative approaches where appropriate.
 
 
 </li>
 </ul>
 
 Training &amp; Stakeholder Support
 
 
 
 <ul>
 <li>
 Provide training and guidance to end-users on interpreting and applying models across the Bank.
 </li>
 <li>
 Act as a key subject-matter expert on data, models and analytics, supporting functions across the Group and subsidiaries.
 
 
 </li>
 </ul>
 
 Compliance &amp; Risk
 
 
 
 <ul>
 <li>
 Ensure all models and data processes comply with relevant regulatory requirements and internal risk policies.
 </li>
 <li>
 Understand and adhere to the Bank&rsquo;s AML, Regulatory and Conduct Compliance policies (Staff Handbook, AML/CFT/CPF, Conflicts of Interest, Anti-Bribery &amp; Corruption, Insider Trading).
 </li>
 <li>
 Document and escalate risks and issues related to model development, deployment and data usage.
 </li>
 <li>
 Complete all mandatory compliance training and contribute to a strong culture of compliance across the Bank.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 PhD in Economics, Mathematics, Actuarial Science, Econometrics, Statistics, Engineering, or another quantitative discipline.
 </li>
 <li>
 Strong coding skills and experience using statistical and programming languages such as R, Python, SQL, etc.
 </li>
 <li>
 Proven experience working with and creating data architectures.
 </li>
 <li>
 In-depth knowledge of machine learning techniques (e.g. clustering, decision trees, neural networks) and their practical applicability.
 </li>
 <li>
 Strong grounding in advanced statistical techniques (regression, distributions, statistical tests) and their applied use in finance and economics.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to explain complex technical material to non-technical stakeholders.
 </li>
 <li>
 Demonstrated drive to continuously learn and master new modelling tools, techniques and technologies.
 
 
 </li>
 </ul>
 
 Years &amp; Nature of Experience
 
 
 
 <ul>
 <li>
 12 years of proven banking or financial sector experience in data management, model development and analytics.
 </li>
 <li>
 Significant experience developing, implementing and maintaining risk and economic models within an enterprise risk or research context.
 </li>
 <li>
 Experience working with cross-functional teams (risk, finance, IT, research, business units) to deliver analytic and model-based solutions.
 </li>
 <li>
 Deep expertise in quantitative modelling, risk analytics and macroeconomic analysis.
 </li>
 <li>
 Strong leadership skills with the ability to coordinate multiple specialist teams and act as the technical escalation point.
 </li>
 <li>
 Ability to propose innovative, high-impact solutions to complex problems.
 </li>
 <li>
 Strong interpersonal skills with the ability to influence and engage senior stakeholders, including external parties.
 </li>
 <li>
 Comprehensive understanding of Afreximbank&rsquo;s mandate, African trade and macroeconomic landscape.
 </li>
 <li>
 Embodiment of Afreximbank&rsquo;s core values:
 </li>
 <li>
 Commitment to Africa and empowerment of Africans
 </li>
 <li>
 Uncompromising integrity
 </li>
 <li>
 Passion for learning and drive
 </li>
 <li>
 Teamwork
 </li>
 <li>
 Trust and respect for the individual
 </li>
 <li>
 Innovation, excellence and flexibility
 </li>
 <li>
 Professionalism and responsiveness
 </li>
 <li>
 How to Apply
 
 
 </li>
 </ul>
 Interested candidates who wish to apply for this position are invited to send their CV and supporting documents to:
 
 sfraser@caglobalint.com
 
 
 
 Please indicate
 
 &ldquo;Senior Manager, Research (Data Management &amp; Model Development)&rdquo;
 
 in the subject line of your email.
</div>

Senior Manager (Data Management & Model Development)-Research

Search 10000+ Model risk manager jobs near you this November. New roles added regularly across leading industries. Apply today.

10000 model risk manager jobs NEAR_ME

Rev-celerator Internship Programme 2026: Model Risk Manager

Analyst-Data Science

Model Risk Officer, Director

Model Risk Officer, Director

Analyst-Data Science

Proprietary Program Systems Engineering Technician (Experienced or Lead)

Senior Manager (Data Management & Model Development)-Research