Model Risk & AI Analytics Manager Job at Ethics HR (New Cairo)

New

Senior Data Scientist, AI & Model Risk

It all started with an idea at Block in 2013. Initially built to take the pain o...

Location

United States , New York

Salary:

139000.00 - 225000.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

A minimum of 5 years of related experience with a Bachelor’s degree in a quantitative field
or 3 years and a Master’s degree
or a PhD without experience
or equivalent work experience in risk management, model risk management, or AI risk management
Proficiency in Python or similar languages for evaluating AI system behavior, writing test scripts, or analyzing model outputs
Strong understanding of generative AI architectures
Including LLMs, transformer models, RAG systems, and agentic AI, plus hands-on experience interacting with and critically evaluating these systems, sufficient to assess design decisions, output quality, and limitations
Understanding of interagency model risk management principles, including SR 26-2
Knowledge of AI testing methodologies, ex. functional testing, bias testing, adversarial testing, and performance monitoring plus familiarity with data privacy and security principles (encryption, access controls, data classification)
Excellent written and verbal communication and the ability to translate complex technical AI concepts for non-technical stakeholders, senior management, and regulators

Job Responsibility

Lead end-to-end AI Risk Assessments for generative AI and LLM use cases across the Bank
Embedding in Block's enterprise-wide GenAI review process, coordinating cross-functional SMEs (Legal, Compliance, InfoSec, Data Governance, MRM, ERM, BRC, TPRM, Financial Crimes), and managing timelines to ensure reviews are completed within SLA
Review AI system design and documentation
Including retrieval sources, assumptions, limitations, fallback plans, guardrail configurations, and change management procedures — across banking use cases such as fraud detection, BSA/AML compliance, credit decisioning, and customer-facing applications, ensuring governance controls are commensurate with each use case's risk profile
Assess pre-deployment testing for adequacy inclusive of output integrity, hallucination detection, boundary and edge case testing, ethical and safety guardrails, bias testing, A/B testing, volume testing, and UAT — designing and conducting independent testing as needed
Evaluate ongoing monitoring plans for comprehensiveness - including accuracy, hallucination rates, drift detection, sensitive data controls, reliability metrics, CSAT, acceptable performance ranges, and documented remediation procedures
Develop and maintain templates, tools, and procedures to support the effectiveness and scalability of the AI Risk Governance Program
Monitor the evolving regulatory landscape for AI in banking — including FFIEC IT Examination Handbook standards, FDIC Financial Institution Letters, interagency statements, and the anticipated RFI on AI model risk management referenced in SR 26-2 — and incorporate emerging guidance into the AI risk governance program
support SFS's response to regulatory inquiries as needed

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

Quantitative Analytics Senior Manager -Agentic AI Platform & Product Owner

Wells Fargo is seeking an experienced Quantitative Analytics Senior Manager to j...

Location

United States , Charlotte; Irving; Minneapolis; Saint Louis; San Francisco; Tempe; West Des Moines

Salary:

185000.00 - 300000.00 USD / Year

Wells Fargo

Expiration Date

June 11, 2026

Requirements

7+ years of Quantitative Analytical experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years of management or leadership experience
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Job Responsibility

Drive the development and delivery of industry-leading, AI agentic-based model validation, testing, and real-time monitoring capabilities
Provide leadership and technical expertise in designing and delivering AI agentic solutions and systems on cloud-native environment such as Google Cloud Platform (GCP), enabling real‑time processing and large‑scale distributed systems
Define AI Product requirements and manage the agentic product lifecycle to ensure successful delivery
Lead cross‑functional collaboration with Technology partners to unlock synergies that accelerate delivery and strengthen execution
Demonstrate hands‑on leadership by directly contributing to design, development, and execution of solutions alongside teams
Partner with the Model Risk and Model Development teams to design and build scalable platforms and agent-based solutions that accelerate real-time model validation, testing and monitoring
Develop and guide a culture of talent development to meet business objectives and strategy
Manage a team of highly skilled AI scientists and engineers

What we offer

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement

Fulltime

Senior Data Scientist / AI Consultant – Security & Risk Analytics

Senior Data Scientist / AI Consultant – Security & Risk Analytics. Hybrid – 3 da...

Location

Ireland , Dublin 18

Salary:

100000.00 EUR / Year

Solas IT Recruitment

Expiration Date

Until further notice

Requirements

Proven experience delivering end-to-end ML and DL solutions in production environments
8+ years commercial experience
Strong programming skills in Python and solid SQL expertise
Experience with Generative AI, including LLMs, RAG, vector databases, and agent-based frameworks
Strong analytical thinking with the ability to communicate insights to both technical and non-technical stakeholders
Hands-on experience in data preparation, feature engineering, and model evaluation
A proactive and solution-oriented mindset, comfortable working in fast-paced environments

Job Responsibility

Translate complex business challenges into data-driven solutions using ML, DL, and GenAI techniques
Manage the full model lifecycle including data exploration, feature engineering, modelling, validation, and deployment
Build classification and scoring models, effectively handling incomplete or ambiguous datasets
Develop explainable AI outputs to support business decision-making
Deploy and monitor models to ensure performance, scalability, and reliability
Prototype new concepts and evaluate emerging tools and frameworks
Collaborate with engineering and product teams to deliver scalable, production-ready systems
Support data pipelines, cloud platforms, and CI/CD processes for analytics workloads

What we offer

Excellent salary package
Great benefits
Very good career progression

Fulltime

Senior Audit Manager – AI Non-model Objects

The Senior Audit Manager is within the AI Non-model Objects team and is a senior...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Previous experience in a related role
Sound understanding in model audit, validation, or model risk management within financial services
Understanding of financial services regulations and how they intersect with AI/GenAI e.g. conduct risk, operational resilience, data protection, algorithmic trading, AML/KYC, consumer protection
Related certifications such as Certified Information Systems (CISA), Certified Internal Auditor (CIA), Certified in Risk and Information Systems (CRISC) or similar. AI-related certifications are a plus
Demonstrated successful experience in business, functional and people management
Proven ability to execute concurrently on a portfolio of high quality deliverables according to strict timetables
Demonstrated ability to implement continuous improvement and innovation in audit tools and techniques
Consistently demonstrates clear and concise written and verbal communication
Demonstrated ability to remain unbiased in a diverse working environment
Effective negotiation skills

Job Responsibility

Deliver audit reports, Internal Audit and Regulatory issue validation and business monitoring and governance committee reports relating to AI model development, validation and deployment
Act as a trusted subject matter experts on AI Model risks and controls across the IA team
Oversight of portfolios within the AI Non-model Objects team including stakeholder engagement, assessment of key emerging and inherent risks, etc.
Participate in business initiatives and pro-actively advise and assist the business on change initiatives
Implement integrated auditing concepts and technology, and follow trends in the Audit field and adapt them for the Audit function
Identify solutions for a variety of complex and unique control issues, utilizing complex judgement and sophisticated analytical thought
Analyze report findings, and recommend interventions where needed, proposing creative and pragmatic solutions to risk and control issues
Partner with Directors and Managing Directors to develop approaches for addressing broader corporate emerging issues
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards

Fulltime

Assistant Vice President (AVP), Non-Financial Risk – Data & Model Risk Specialist

The Assistant Vice President (AVP), Non-Financial Risk - Data & Model Risk Speci...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum of 5-8 years of experience in operational risk management, compliance, audit, or other control-related functions in the financial services industry
Ability to identify, measure, and manage key risks and controls
Strong knowledge in the development and execution for controls
Proven experience in control related functions in the financial industry
Proven experience in implementing sustainable solutions and improving processes
Understanding of compliance laws, rules, regulations, and best practices
Understanding of Citi’s Policies, Standards, and Procedures
Strong analytical skills to evaluate complex risk and control activities and processes
Strong verbal and written communication skills, with a demonstrated ability to engage at the senior management level
Strong problem-solving and decision-making skills

Job Responsibility

Conduct comprehensive non-financial risk assessments for new and existing data initiatives, data flows, and analytical models, focusing on data governance, data quality, data privacy, model development, model validation, regulatory compliance, and reputational risk
Support the implementation and continuous enhancement of Citi’s Data and Model Risk Management (DMRM) framework, policies, and procedures within the Client Organization
Establish and execute ongoing monitoring activities for critical data assets and models, including data quality metrics, model performance reviews, validation effectiveness evaluations, and incident management
Identify and escalate emerging data and model risks. Collaborate with business owners, technology teams, and model developers to develop and implement effective risk mitigation plans and corrective actions
Partner closely with business units, Technology, Quantitative Risk, Compliance, and other risk functions to ensure a consistent and integrated approach to data and model risk management
Contribute to developing and delivering training and awareness programs on data and model risk management best practices for business stakeholders
Provide oversight and direction for model lifecycle governance, including model onboarding, changes, validations, limitations, inactive models, and annual lifecycle reviews
Influence and partner with senior stakeholders across functions and regions to embed controls, strengthen governance, and drive consistent execution
Lead analysis of control environments and processes, identifying strategic opportunities to enhance control effectiveness, operational efficiency, and overall governance maturity

Fulltime

Manager / Senior Manager, Analytics Engineering

KOHO is looking for a Manager or Senior Manager, Analytics Engineering to lead a...

Location

Canada

Salary:

170000.00 - 220000.00 CAD / Year

KOHO

Expiration Date

Until further notice

Requirements

5+ years in analytics engineering, data engineering, or similar technical data roles, including 2+ years managing technical teams
Proven people leader: Track record of hiring, developing, and retaining high-performing individual contributors
Experience scaling teams: You've built or grown technical teams and established practices that enable sustainable growth
Expert-level dbt knowledge: Deep experience with dbt Core/Cloud, complex projects, advanced materializations, macros, packages, and project architecture
Strong SQL and data modelling skills: Proficiency with dimensional modelling, event modelling, and performance optimization
Modern data stack fluency: Experience with dbt, Git, CI/CD, data warehouses (Redshift is a plus), and orchestration tools
Infrastructure mindset: Understanding of data platform architecture, scalability, and reliability patterns
Strategic thinker: Able to translate business objectives into technical roadmaps and prioritize effectively
Exceptional communicator: Adapt messaging for different audiences from C-suite to individual contributors
Stakeholder management: Navigate competing priorities, manage expectations, and build trusted partnerships across the organization

Job Responsibility

Build and develop a high-performing team: Mentor, and grow the Analytics Engineers through coaching, performance management, and career development
Foster a culture of excellence: Set standards for code quality, documentation, and collaboration while building psychological safety and autonomy
Enable team success: Build systems, prioritize work strategically, and ensure your team has the context and resources to deliver impact
Drive performance: Conduct regular 1:1s, performance reviews, and calibrations aligned with KOHO's high-performance culture
Develop a long-term talent strategy, identifying skill gaps and creating career pathways that ensure KOHO attracts and retains top-tier analytics engineering talent
Own the analytics engineering platform: Maintain and evolve the data infrastructure supporting 20+ developers across analytics engineering and broader data teams (product analysts, business analysts, and developers)
Architect for scale: Define technical strategy, standards, and best practices for data modelling, pipeline development, and data quality
Optimize performance: Monitor infrastructure health, drive query optimization, and ensure reliability across critical data pipelines
Champion technical excellence: Establish governance frameworks, code review standards, and documentation practices
Partner with domain leaders: Collaborate with Analytics, Finance, Payment Operations, Risk, Treasury, and Product teams to understand their data needs and translate them into technical roadmaps

What we offer

Competitive compensation & equity
Fantastic, Deeply Engaged Team
Generous vacation + Wellness days + Flex Days + holiday closure
Remote-first environment + coworking support + yearly all hands retreat
Access to coaching & growth programs
Parental top-up & leave policies
Comprehensive health benefits
Power-up budgets for books, home office setup, phone & internet, AI tools, and professional development

Fulltime

New

AI Risk Management Administrator

We are seeking an AI Risk Management Administrator to be responsible for support...

Location

United States , Dublin

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Information Systems, Risk Management, or a related field
5+ years of experience in AI/ML, data science, model governance, or technology risk management (not just general IT risk)
Demonstrated experience implementing or operationalizing governance frameworks (e.g., AI governance, model risk management, data governance)
Strong understanding of AI risks, including bias, explainability, model drift, data quality, and security vulnerabilities
Experience working with AI regulations and frameworks (e.g., NIST AI RMF, EU AI Act, ISO/IEC AI standards, SR 11-7 model risk guidance)
Ability to translate between technical teams (data science/engineering) and control functions (risk, legal, compliance)
Strong analytical, problem-solving, and stakeholder management skills

Job Responsibility

Support the design, implementation, and continuous improvement of the enterprise AI governance structure, including operating models, roles, committees, and decision-making frameworks
Administer and maintain the AI risk management framework, including policies, standards, controls, and procedures, ensuring alignment with evolving governance needs
Bridge governance strategy and execution by supporting the operationalization of AI policies and standards across business and technical teams
Support AI system risk assessments across the AI lifecycle (design, development, deployment, operation, and retirement)
Maintain AI inventories, model documentation, risk registers, and audit artifacts (e.g., model cards, data lineage, controls evidence)
Monitor compliance with internal AI governance standards and external regulations (e.g., privacy, security, ethical AI requirements)
Coordinate governance forums and reviews with legal, compliance, security, and internal audit teams to address AI-related risks and ensure alignment with governance expectations
Track AI risk metrics, incidents, and remediation actions
prepare reports for leadership, risk committees, and regulators
Support third-party and vendor AI risk reviews, including due diligence and ongoing monitoring

Model Risk - Senior Associate

We regulate financial services firms in the UK, to keep financial markets fair, ...

Location

United Kingdom , London

Salary:

59200.00 - 73800.00 GBP / Year

Social Value Portal Ltd

Expiration Date

June 15, 2026

Requirements

Experience delivering modelling, machine learning, or data science projects
Experience contributing to the implementation of a model risk framework, including supporting training, guidance, or communications
Practical coding experience in Python, SQL, or R
Good knowledge of a range of modelling and machine-learning techniques
Interpersonal skills, with the ability to provide clear, balanced and practical advice
Experience working with stakeholders, with the confidence to engage effectively across different teams
A collaborative approach, building positive working relationships to reach shared outcomes
Good organisational skills, with the ability to manage competing priorities and deliver high-quality work to deadlines
Problem-solving ability, applying sound judgement and making evidence-based recommendations
Able to adjust and work effectively in a changing environment

Job Responsibility

Contribute to the development and embedding of the model risk management framework, supporting training, communication and adoption across the FCA
Provide oversight, guidance and constructive challenge to first line of defence (1LOD) model development and governance activities
Work closely with modelling teams to support model risk assessments, evaluate controls, advise on validation approaches and help ensure model inventory data is accurate and complete
Support assurance activities such as independent model validations and thematic reviews
Support the maintenance and ongoing development of the FCA Model Inventory, including contributing to data analysis and reporting for senior stakeholders
Work collaboratively with R&CO colleagues to stay informed on developments across risk and contribute to updates on internal AI and model risk
Build and maintain a network across key 1LOD areas (e.g. Advanced Analytics, Data Management, AI Governance) and stay up to date with developments in AI and Model Risk Management
Adhere to the FCA values and ways of working in the delivery of outcomes

What we offer

25 days annual leave plus bank holidays
Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary
Private healthcare with Bupa, income protection and 24/7 Employee Assistance
35 hours of paid volunteering annually
Hybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders). Changing from September to a minimum of 50% in the office each month (expectation of 60% for Directors and Executive Directors)
A flexible benefits scheme designed around your lifestyle

Fulltime

!

Select Country

Model Risk & AI Analytics Manager

Job Description

Job Responsibility

Requirements

Looking for more opportunities?