ai risk manager

Charles Schwab

<div>Southlake, TX ; Austin, TX
Requisition ID 2025-116422
Category Risk &amp; Regulatory
Position type Regular
Pay range USD $190,000.00 - $210,000.00 / Year
Application deadline 2025-11-03</div>
 <div><div><div>Your opportunity 

At Schwab, you&rsquo;re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us &ldquo;challenge the status quo&rdquo; and transform the finance industry together.
We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location.
Charles Schwab is seeking a highly skilled and forward-thinking Technology Risk ManagerLead to lead and manage AI-related security risks within our cybersecurity organization, reporting to the Director of AI Security Risk Management. This role is critical in ensuring the safe and responsible use of artificial intelligence technologies across the enterprise. The ideal candidate will have deep expertise in risk management frameworks, cybersecurity concepts and emerging AI threats, with a strong understanding of regulatory expectations in the financial industry. 
Key Responsibilities:<ul><li>
Identify, assess, and monitor risks associated with AI systems, including model integrity, adversarial attacks, data poisoning, and privacy concerns.</li><li>
Design and implement controls to mitigate AI-related risks, including model validation, explainability, and secure data handling.</li><li>
Ensure adherence to internal policies and external regulations (e.g., FFIEC, NIST AI RMF, EU AI Act).</li><li>
Support audits and regulatory examinations related to AI and cybersecurity risk.</li><li>
Develop key risk indicators (KRIs) and metrics to monitor AI security posture.</li><li>
Provide regular reporting to senior leadership and risk committees on AI risk trends and mitigation efforts.</li><li>
Stay current with emerging AI threats, technologies, and best practices.</li></ul>
What you have 

Qualifications:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Cybersecurity, Computer Science, Risk Management, or related field.</li><li>
10+ years of experience in technology risk or cybersecurity, with at least 2 years focused on AI/ML systems.</li><li>
Strong understanding of AI/ML lifecycle, model governance, and security implications.</li><li>
Familiarity with financial industry regulations and risk frameworks (e.g., NIST, ISO 27001, COSO, FFIEC).</li><li>
Experience with cloud platforms, data governance, and secure software development practices.</li><li>
Excellent communication, analytical, and leadership skills.</li></ul>
Preferred Certifications:<ul><li>
CRISC, CISSP, CISM, or equivalent</li><li>
AI-specific certifications (e.g., Certified AI Risk Management Professional)</li></ul><div> 
What&rsquo;s in it for you
At Schwab, you&rsquo;re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration&mdash;so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you &ndash; both today and in the future:<ul><li>
401(k) with company match and Employee stock purchase plan</li><li>
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions</li><li>
Paid parental leave and family building benefits</li><li>
Tuition reimbursement</li><li>
Health, dental, and vision insurance</li></ul></div><div> 

</div></div><div><div><div>Share:</div>
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</ul></div></div></div><div>Eligible Schwabbies receive
<ul><div>Medical, dental and vision benefits
</div><div>401(k) and employee stock purchase plans
</div><div>Tuition reimbursement to keep developing your career
</div><div>Paid parental leave and adoption/family building benefits
</div><div>Sabbatical leave available after five years of employment</div></ul></div></div>

AI Technology Risk Manager Lead

<div>
 
 Avant de postuler &agrave; un emploi, s&eacute;lectionnez votre langue de pr&eacute;f&eacute;rence parmi les options disponibles en haut &agrave; droite de cette page.
 
 
 
 D&eacute;couvrez votre prochaine opportunit&eacute; au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunit&eacute;s innovantes, d&eacute;couvrez notre culture enrichissante et travaillez avec des &eacute;quipes talentueuses qui vous poussent &agrave; vous d&eacute;velopper chaque jour. Nous savons ce qu&rsquo;il faut faire pour diriger UPS vers l'avenir : des personnes passionn&eacute;es dot&eacute;es d&rsquo;une combinaison unique de comp&eacute;tences. Si vous avez les qualit&eacute;s, de la motivation, de l'autonomie ou le leadership pour diriger des &eacute;quipes, il existe des postes adapt&eacute;s &agrave; vos aspirations et &agrave; vos comp&eacute;tences d'aujourd'hui et de demain.
 
 
 
 Job Summary
 
 
 
 
 Fiche de poste :
 
 
 
 We are seeking a highly skilled
 
 AI Governance, and QA Auditor
 
 to evaluate, audit, and ensure the responsible, ethical, and compliant use of Artificial Intelligence and Machine Learning systems. This role is central to maintaining trust, fairness, transparency, and regulatory alignment across AI/ML initiatives, while driving continuous improvement in model development, deployment, and monitoring practices. The candidate will collaborate with data scientists, engineers, risk/compliance teams, and business stakeholders to establish and enforce AI governance frameworks, leveraging advanced tools such as
 
 IBM Watsonx Governance
 
 .
 
 
 
 Key Responsibilities
 
 
 
 
 AI Assurance &amp; Quality Auditing
 
 
 
 <ul>
 <li>
 Design framework for technical auditing of AI/ML systems that avoid costly mistakes.
 </li>
 <li>
 Conduct independent audits of a variety of AI/ML systems in the areas of Gen AI, Deep Learning, Machine Learning, Natural Language Processing and Computer Vision.
 </li>
 <li>
 Verify compliance with benchmark standards, external regulations, and ethical AI principles.
 </li>
 <li>
 Assess data quality, feature engineering practices, and model development pipelines for reproducibility, fairness, and bias mitigation.
 </li>
 <li>
 Evaluate ML model performance, robustness, explainability, and alignment with intended business outcomes.
 </li>
 <li>
 Review deployment processes, model versioning, and monitoring practices to ensure traceability and accountability.
 </li>
 <li>
 Utilize Watsonx Governance and other enterprise AI governance tools to audit and validate responsible AI practices.
 
 
 </li>
 </ul>
 
 AI Governance &amp; Risk Management
 
 
 
 <ul>
 <li>
 Define, implement, and maintain AI governance frameworks, policies, and best practices.
 </li>
 <li>
 Identify AI risks (bias, drift, adversarial attacks, misuse) and recommend mitigation strategies.
 </li>
 <li>
 Ensure compliance with AI regulations and standards (e.g., EU AI Act, NIST AI RMF, ISO 42001, GDPR, industry-specific frameworks).
 </li>
 <li>
 Establish governance checkpoints across the AI lifecycle (data collection, training, validation, deployment, monitoring).
 </li>
 <li>
 Leverage Watsonx Governance for automated policy enforcement, lineage tracking, and audit readiness.
 
 
 </li>
 </ul>
 
 Compliance &amp; Ethical AI
 
 
 
 <ul>
 <li>
 Audit AI/ML systems for fairness, inclusivity, accountability, and transparency.
 </li>
 <li>
 Ensure model documentation, datasheets, and audit trails are consistently maintained.
 </li>
 <li>
 Provide assurance reports for regulators, clients, and internal executives.
 </li>
 <li>
 Monitor emerging AI regulations and update governance policies accordingly.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Advisory
 
 
 
 <ul>
 <li>
 Partner with Data Science, MLOps, and Product teams to embed assurance-by-design practices.
 </li>
 <li>
 Educate stakeholders on AI risks, governance policies, and responsible AI principles.
 </li>
 <li>
 Act as an internal advisor for audits, compliance reviews, and external certifications.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Skills
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s degree in
 
 Computer Science, Data Science, Statistics, Engineering, or a related quantitative field
 
 .
 
 
 Master&rsquo;s/PhD or certification in
 
 AI Governance, Risk &amp; Compliance, or Data Ethics
 
 is preferred.
 
 
 
 Required Experience
 
 
 
 <ul>
 <li>
 10+ years of overall professional experience, with at least 5 years in AI/ML model development, assurance, risk management, or audit functions.
 </li>
 <li>
 Hands-on expertise with Data Science workflows, ML model evaluation, and MLOps pipelines.
 </li>
 <li>
 Prior experience in regulatory compliance, IT audit, or QA within financial services, healthcare, or other regulated industries is a plus.
 </li>
 <li>
 Technical Skills
 </li>
 <li>
 Strong understanding of machine learning, deep learning, and generative AI.
 </li>
 <li>
 Familiarity with AI auditing tools (e.g., Fairlearn, Aequitas, SHAP, LIME, Explainable AI frameworks).
 </li>
 <li>
 Proficiency in Python, SQL, and model evaluation libraries.
 </li>
 <li>
 Knowledge of cloud platforms (AWS, Azure, GCP) and enterprise governance solutions such as IBM Watsonx Governance, Vertex AI Model Monitoring, and Watson OpenScale.
 </li>
 <li>
 Governance &amp; Regulatory Skills
 </li>
 <li>
 Knowledge of AI risk management frameworks (NIST AI RMF, ISO 42001, OECD AI Principles).
 </li>
 <li>
 Understanding of data protection and privacy laws (GDPR, HIPAA, CCPA).
 </li>
 <li>
 Ability to translate technical findings into executive-level risk and compliance reports.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical and critical thinking with attention to detail.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Ability to act as an independent, objective voice in AI governance matters.
 
 
 </li>
 </ul>
 
 Type De Contrat
 
 
 
 en CDI
 
 
 
 Chez UPS, &eacute;galit&eacute; des chances, traitement &eacute;quitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attach&eacute;s.
 
</div>

Lead - AI Governance & QA Auditor – Data Scientist, AI Systems Audit, Compliance, AI Governance, AI Explainability, Python

Deloitte

<div><div><div>Location
</div>Egypt Delivery Center
</div><div><div>Deloitte Innovation Hub | Cyber Security I AI Governance Engineer, Cairo. Egypt 
Connect to your career at Deloitte
Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
Deloitte innovation hub (DIH) is a strategic initiative/priority established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across Portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action. 
Connect to your opportunity.
Key Responsibilities:<ul><li>
Develop, implement, and maintain AI governance frameworks, policies, and standards aligned with industry best practices and regulatory requirements.</li><li>
Identify, assess, and manage risks related to AI systems, including ethical, operational, legal, and reputational risks.</li><li>
Collaborate with AI development, data science, legal, compliance, and business teams to embed governance and risk management throughout the AI lifecycle.</li><li>
Monitor emerging AI regulations, standards, and ethical guidelines to ensure organisational compliance and proactive risk mitigation.</li><li>
Conduct risk assessments and audits of AI models, algorithms, and data usage to identify potential biases, fairness issues, and security vulnerabilities.</li><li>
Provide guidance and training to stakeholders on AI governance principles, risk management practices, and responsible AI use.</li><li>
Support incident response and remediation efforts related to AI system failures or governance breaches.</li><li>
Prepare reports and presentations for senior management and governance committees on AI risk posture and compliance status.</li><li>
Promote a culture of responsible AI use and continuous improvement in governance practices.</li></ul>
Connect to your skills and professional experience<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Risk Management, or a related field.</li><li>
Minimum 1-3 years of experience in AI governance, risk management, compliance, or related roles.</li><li>
Strong understanding of AI technologies, machine learning models, and data management principles.</li><li>
Knowledge of AI ethics, fairness, transparency, and accountability frameworks.</li><li>
Familiarity with relevant regulations and standards such as GDPR, AI Act (EU), ISO/IEC 42001, and other emerging AI governance guidelines.</li><li>
Experience conducting risk assessments, audits, or impact assessments related to AI systems.</li><li>
Excellent analytical, communication, and stakeholder management skills.</li><li>
Ability to translate complex technical and regulatory concepts into clear, actionable guidance.</li><li>
Relevant certifications such as AIGP are a plus.</li><li>
Excellent English command is must.</li></ul> 
Connect to your service line &ndash; Technology and Transformation
Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters. 
Personal independence
Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your &quot;Immediate Family Members&quot; are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process. 
Connect to your Industry
&ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organizations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo; Dan, T&amp;T. 
Connect with your colleagues
Location: Cairo. Egypt
Your Work, Your Way: We call our hybrid working vision Deloitte Works. And it does. We trust you to make the right choices around where, when, and how you work. You&rsquo;ll be able to make decisions about how you work best, to be collaborative, learn from colleagues, share your experiences, build the relationships that will fuel your career and prioritize your wellbeing. Having great conversations with your team and your leadership paves the way for great collaborative ways of working. 
Our commitment to you
Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead. 
Connect to your next step
A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level. 
#LI-HH1</div></div></div>

Deloitte Innovation Hub | Cyber Security | AI Governance Engineer, Cairo. Egypt

BigTapp

Delivery Manager Data, Analytics, and AI Services. 
 Job Title: Delivery Manager Data, Analytics, and AI Services. 
 Location: Dubai 
 Experience: 12 - 15 Years 

 
 
 
 Job Title: Delivery Manager Data, Analytics, and AI Services. Location: Dubai. Experience: 12+ Years Job Summary: As a Delivery Manager, you will be responsible for overseeing the successful execution of multiple Data, Analytics, and AI projects within a customer account or geography. You will ensure seamless project delivery, optimize resource allocation, drive strategic alignment, and mitigate risks. In addition to overseeing project managers, you will also act as a hands-on PM for selected critical projects, ensuring direct involvement where needed. Your leadership will ensure project teams deliver value-driven outcomes while maintaining high client and team satisfaction. Key Outcomes Expected: 100% on-time delivery of all projects under the portfolio. 95%+ client satisfaction by ensuring high-quality execution and strategic alignment. Zero major escalations through proactive risk and stakeholder management. Balanced workload across teams, maintaining 80%+ team satisfaction scores. At least 20% productivity improvement in project execution year-over-year. Implementation of automation and AI-driven processes to enhance efficiency and standardization. Key Responsibilities: Project &amp; Portfolio Management: Oversee and manage the execution of multiple Data, Analytics, and AI projects within an account or geography. Act as a hands-on PM for critical or high-risk projects, ensuring direct engagement when needed. Develop and maintain an integrated delivery roadmap for all projects in the portfolio. Ensure alignment with customer objectives, budgets, and strategic goals. Client &amp; Stakeholder Engagement: Serve as the primary escalation point for project-related issues within the portfolio. Conduct regular executive reviews with clients, ensuring transparency on delivery status and business impact. Foster long-term relationships with clients, identifying opportunities for upselling and cross-selling services. Ensure a Governance, Compliance &amp; Risk Management: Drive 100% adherence to data governance, security, and AI regulatory requirements. Establish and enforce standard operating procedures (SOPs) to reduce project risks by 30%. Proactively track risks and implement mitigation strategies, maintaining Resource &amp; Financial Management: Optimize resource allocation across projects, ensuring maximum efficiency and utilization (&gt;85%). Monitor and control project budgets, ensuring Support hiring, training, and retention strategies to build a high-performing project management team. Agile, Automation &amp; Delivery Excellence: Ensure the adoption of best practices in Agile, Scrum, and hybrid project management methodologies. Standardize reporting, dashboards, and KPI tracking across all projects. Implement automation and AI-driven tools to streamline project execution, reduce manual effort, and enable non-linear delivery models. Drive continuous process improvements, achieving 20%+ increase in productivity annually. Leverage Gen AI-based project monitoring and predictive analytics to identify risks and optimize delivery timelines. Team Leadership &amp; Culture Building: Mentor and guide Project Managers, ensuring consistent and high-quality project execution. Foster a culture of collaboration, innovation, and work-life balance. Ensure 80%+ team satisfaction, minimizing burnout and maintaining high morale. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant certifications in Azure or AWS are a plus. Must Have Technical Skills: 12+ years of experience in Data, Analytics, and AI project delivery Proven ability to manage multiple concurrent projects within a large account or geography. Strong stakeholder engagement, governance, and risk management skills. Experience in resource optimization, financial planning, and budget control. Hands-on Agile, Scrum, and hybrid project management experience. Familiarity with data engineering, analytics platforms, AI/ML model lifecycle, and data governance. Experience in implementing automation and AI-driven processes for improving efficiency. Proficiency in project management tools such as JIRA, MS Project, Trello, Asana. Excellent communication, negotiation, and leadership skills. Nice to Have Skills: Experience in Banking, Financial Services, or Insurance (BFSI) analytics projects. Knowledge of Cloud platforms (AWS, Azure, GCP) and modern data architectures. Exposure to Generative AI and AI-driven automation solutions. PMP, PRINCE2, SAFe, or Certified Scrum Master (CSM) certification. Compensation &amp; Benefits: Lead strategic, high-impact data &amp; AI initiatives for top-tier clients. Work in a collaborative, innovative-driven environment. Enjoy a flexible, balanced work culture focused on employee well-being. Competitive salary and career growth opportunities.

Delivery Manager Data, Analytics, and AI Services.

Al-Futtaim Automotive

Data Science Manager - Finance Al-Futtaim Automotive Al-Futtaim Automotive is the automotive division of Al Futtaim Group, headquartered in Dubai, UAE. The Group operates in automotive, financial services, real estate, retail and healthcare, employing more than 35,000 people across more than 20 countries. Our values are respect, excellence, collaboration, and integrity, and we are committed to customer focus and innovation. Overview of the Role As a Data Science Manager (Finance) you will lead AI and data science initiatives that optimize financial performance, strengthen risk management, and improve business decision making. The role focuses on advanced predictive modeling, financial forecasting, and portfolio optimization to create measurable impact across the organization. What You Will Do <ul> <li>Build and deploy predictive models for residual value optimization, credit risk scoring, probability of default, and F&I leasing pricing optimization.</li> <li>Standardize financial KPIs and risk dashboards using statistical process control and advanced visualization tools.</li> <li>Generate financial insights through time series analysis, portfolio optimization, survival analysis and risk modeling.</li> <li>Collaborate with finance and risk teams to identify and prioritize high potential data driven use cases.</li> <li>Lead and mentor a team of data scientists, ensuring the delivery of scalable machine learning and AI models.</li> <li>Report to the Head of Financial Data Science and oversee a team that plays a critical role in enhancing financial planning, risk management, and profitability.</li> </ul> Required Skills and Experience <ul> <li>Advanced expertise in time series forecasting, regression, logistic regression and random forests.</li> <li>Strong skills in survival analysis, reinforcement learning, and genetic algorithms.</li> <li>Deep knowledge of portfolio optimization, risk modelling and causal inference techniques.</li> <li>Proficiency in deep learning (CNNs, RNNs, LSTMs, Transformers) and advanced pattern recognition.</li> <li>Strong understanding of financial regulations and their impact on AI/ML model development.</li> <li>Excellent stakeholder management and ability to translate complex financial models into actionable insights.</li> <li>Bachelor's, Master's or PhD in Financial Analytics, Computer Science or related field.</li> <li>7+ years of experience in financial analytics, data science and machine learning.</li> <li>Hands on expertise in advanced statistics, optimization, causal and Bayesian modeling, Monte Carlo simulations, graph neural networks and recommender systems.</li> <li>Proficient in Python, SQL, Databricks and ML libraries such as TensorFlow, PyTorch, Scikit learn, ARIMA/SARIMA, Prophet.</li> <li>Knowledge of NLP, autoencoders, transformers, NER, computer vision (OpenCV, YOLO) and model explainability (SHAP, LIME).</li> <li>Experience with MLOps, Git and visualization tools (Matplotlib, Seaborn, Plotly).</li> <li>Strong leadership, problem solving and communication skills to manage teams and deliver business impact.</li> </ul> About The Team You will report to the Head of Financial Data Science and lead a team of Data Scientists and a Data Science Manager within the Finance Department. About Al-Futtaim Automotive Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. We specialize in distribution, manufacturing, leasing and aftersales, and represent iconic automotive brands. Our mission is to become the leader in custom made mobility solutions by delivering world class omni channel experiences. We empower talent to move forward.<img src="https://www.jobg8.com/Tracking.aspx?n5tSDoUM%2b4Y8zcMbv499TohRgZKUJ2h8j" width="0" height="0" />

Data Science Manager - Finance Al-Futtaim Automotive

Senior Manager / Director Financial Services Risk Management (FSRM) Languages: Arabic & English (Mandatory) Experience: 12-15 years Industry Focus: Banking, Insurance, and Financial Institutions Job Summary As a Senior Manager / Director in EY's Financial Services Risk Management (FSRM) team, you will help leading financial institutions navigate regulatory complexity, strengthen capital resilience, and modernize their risk management frameworks. The role demands deep expertise across credit, market, liquidity, and operational risk - together with Basel III/IV, ICAAP, and IFRS 9 implementation - and the ability to lead large transformation programs that combine quantitative precision with strategic impact. You will also have the opportunity to shape EY's next-generation risk offerings through the use of AI, automation, and digital risk tools, while mentoring diverse teams and engaging directly with senior regulators and client executives. Key Responsibilities Client Delivery and Technical Leadership <ul> <li>Lead complex risk transformation engagements covering credit, market, liquidity, and operational risk, regulatory capital, and stress testing.</li> <li>Design, calibrate, and validate risk models (PD, LGD, EAD) under Basel and IFRS 9.</li> <li>Develop and review ICAAP frameworks, capital planning, and stress testing programs for regulatory submission.</li> <li>Support clients in strengthening liquidity risk frameworks (LCR, NSFR, IRRBB) and aligning ALM practices with supervisory expectations.</li> <li>Advise on operational risk frameworks, RCSA design, loss data analytics, and capital quantification under Basel III/IV.</li> <li>Oversee engagement governance, ensuring delivery excellence, client satisfaction, and measurable impact.</li> </ul> Market and Business Development <ul> <li>Build and manage senior client relationships, including C-suite and Board-level stakeholders.</li> <li>Contribute to business development through proposal leadership, solution design, and sector insights.</li> <li>Identify emerging client needs (ESG, climate risk, AI governance) and translate them into new service offerings.</li> </ul> People and Practice Development <ul> <li>Coach and mentor junior team members, fostering a culture of analytical rigor and innovation.</li> <li>Develop EY's intellectual capital through publications, client insights, and participation in industry forums.</li> <li>Promote cross-border collaboration with other EY member firms in Europe, APAC, and the GCC.</li> </ul> Desirable / Differentiating Areas <ul> <li>Lead or contribute to fraud risk analytics using machine learning and anomaly detection.</li> <li>Design third party risk management frameworks for outsourcing and fintech ecosystems.</li> <li>Apply AI/ML and automation in model governance, early warning indicators, and risk reporting.</li> <li>Integrate digital, cyber, and resilience considerations into enterprise risk frameworks.</li> </ul> Skills And Attributes For Success <ul> <li>Strong quantitative background and regulatory fluency across credit, market, liquidity, and operational risk domains.</li> <li>Deep understanding of Basel III/IV, IFRS 9, and ICAAP/ILAAP requirements.</li> <li>Proficiency in Python, R, SAS, or SQL for quantitative and stress testing model development.</li> <li>Excellent leadership, communication, and stakeholder management skills, capable of engaging both technical and executive audiences.</li> <li>Strategic thinker with an ability to translate complex regulations into actionable business solutions.</li> </ul> To Qualify for the Role, You Must Have <ul> <li>12-15 years of experience in financial services risk management, either in consulting or at a Tier 1 bank.</li> <li>Demonstrated success leading risk and capital management transformation programs.</li> <li>Experience working directly with regulators (e.g., SAMA, CBUAE, QCB, EBA, APRA, PRA).</li> <li>Fluency in Arabic and English (spoken and written).</li> </ul> Ideally, You'll Also Have <ul> <li>Exposure to fraud, third party, or digital risk domains.</li> <li>International project experience across Europe, Australia, or APAC.</li> <li>Professional certifications such as FRM, CFA, or PRM.</li> <li>Experience leveraging AI/ML for predictive modelling, anomaly detection, or model monitoring.</li> </ul> What We Look For An accomplished risk professional with quantitative depth, regulatory awareness, and leadership presence - someone who can bridge financial modelling with strategic advisory, and who thrives on helping clients build resilient and forward looking risk functions. What We Offer <ul> <li>A platform to lead risk transformation across the region's most significant financial institutions.</li> <li>Access to EY's global network of quantitative and regulatory experts.</li> <li>Opportunities to innovate with emerging technologies in risk and finance.</li> <li>A diverse and inclusive culture that values intellectual curiosity and teamwork.</li> </ul> Join EY and help redefine how banks and financial institutions in the GCC manage risk - combining insight, regulation, and innovation to build a safer financial system. Seniority level: Mid Senior level Employment type: Full time Job function: Finance and Sales, Industry: Professional Services<img src="https://www.jobg8.com/Tracking.aspx?fWvNQADmqkv%2bLlizPkhtqjCKJudAZJPeb" width="0" height="0" />

Senior manager/ Director - Risk Consulting - FSRM - Dubai

YASH Technologies

<div></div><div><div><div><div><div>Date: Oct 30, 2025
</div></div></div></div><div><div><div><div>Job Requisition Id: 62446
</div></div></div></div><div><div><div><div>Location:
Pune, IN Bangalore, KA, IN Hyderabad, TG, IN Hyderabad, IN
</div></div></div></div><div></div><div><div><div><div>YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. 

At YASH, we&rsquo;re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth &ndash; bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. 

We are looking forward to hire PROJECT MANAGEMENT Professionals in the following areas : 

<h2 class="jobSectionHeader">
Role Overview</h2>

Experience : 10+ years of experience as Project Manager

We are seeking an experienced Project Manager to lead end-to-end delivery of AI projects for our clients, focusing on data ingestion, transformation, modelling, AI model selection, tuning, testing, and deployment into business functions. This role is primarily managerial, requiring strong leadership, communication, and stakeholder management skills. Experience with Waterfall, Hybrid, and Agile methodologies and PMP certification are required.
<h2 class="jobSectionHeader">
Key Responsibilities</h2>
<ul><li>Manage end-to-end AI project delivery, ensuring scope, timeline, and budget adherence.</li>
<li>Coordinate cross-functional teams and align project goals with business objectives.</li>
<li>Oversee risk assessment, stakeholder communication, and project reporting.</li>
<li>Prepare and deliver presentations to clients and leadership.</li>
<li>Foster a high-energy, focused team environment.</li>
</ul><h2 class="jobSectionHeader">Requirements</h2>
<ul><li>Bachelor&rsquo;s degree in a relevant field.</li>
<li>PMP certification (Agile/Scrum certifications a plus).</li>
<li>2+ years&rsquo; experience managing technology or AI/ML projects.</li>
<li>Strong communication, stakeholder management, and leadership skills.</li>
<li>Familiarity with AI/ML project lifecycles</li>
</ul>
Core Skills Expected:
<ul>
<li>Strong Communication &amp; Stakeholder Management</li>
<li>Ability to articulate complex ideas clearly to both technical and non-technical stakeholders</li>
<li>Comfortable interfacing with senior leadership, clients, and cross-functional teams</li>
<li>Skilled in setting and managing expectations, resolving conflicts, and building trust</li>
<li>Effective Risk Assessment &amp; Management</li>
<li>Proactively identify, assess, and prioritize project risks and dependencies</li>
<li>Define mitigation strategies and implement contingency plans</li>
<li>Maintain risk registers and communicate risk exposure transparently</li>
<li>Presentation &amp; Reporting Skills</li>
<li>Create and deliver high-impact presentations for executive briefings, client demos, and internal reviews</li>
<li>Use storytelling techniques to translate project data into actionable insights</li>
<li>Proficient with tools like PowerPoint, Miro, Confluence, or project dashboards</li>
<li>High Energy &amp; Execution Focus</li>
<li>Self-motivated, proactive, and able to energize delivery teams</li>
<li>Strong bias toward action with a results-driven mindset</li>
<li>Comfortable working in high-pressure, time-sensitive project environments</li>
<li>Leadership &amp; Team Management</li>
<li>Proven ability to lead multi-disciplinary teams in a matrix or Agile setup</li>
<li>Mentors and coaches team members to enhance performance and accountability</li>
<li>Aligns team goals with business objectives and promotes a culture of ownership</li></ul> 

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. 

Our Hyperlearning workplace is grounded upon four principles
<ul><li>Flexible work arrangements, Free spirit, and emotional positivity</li>
<li>Agile self-determination, trust, transparency, and open collaboration</li>
<li>All Support needed for the realization of business goals,</li>
<li>Stable employment with a great atmosphere and ethical corporate culture</li></ul></div></div></div></div></div>

Project Manager

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