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5 - 10 years

7 - 17 Lacs

Bengaluru

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About this role: Wells Fargo is seeking a Lead Enterprise Risk Officer. In this role, you will: Participate and develop, implement and monitor risk based governance programs to identify, assess and mitigate risks across lines of business and risk domains in multiple risk categories for Enterprise Risk Review moderately complex business, operational, or technical challenges that require an in depth evaluation of variable factors Provide oversight, develop, implement, monitor and challenge for corporate governance risk programs and manage reporting Utilize risk knowledge to issue resolutions for moderate to high risk companywide projects and initiatives Develop, implement, monitor and interpret, risk based governance programs, create new policies and guidelines Resolve moderately complex issues and lead team to meet risk area, projects and process deliverables, while leveraging solid understanding of the risk policies, procedures and compliance requirements Lead and manage multiple concurrent initiatives Guide and direct the organization in terms of policies, effectiveness of companywide initiative execution, and reporting to the Board Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals Lead and direct a team with limited supervisory focus Partner with managers to coordinate risk reporting to executive management, committees, and Board of Directors Required Qualifications: 5+ years of Risk Management experience (Compliance, Financial Crimes, Operational Risk, Audit, Legal, Credit Risk, Market Risk, IT Systems Security, Business Process Management) or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Degree in statistics, math, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis preferred 5+ years of experience model validation /model implementation/ model development or performing deep risk analytics across liquidity risk, capital oversight for a large multinational bank or large US bank or major consulting firm Experience in liquidity risk management and stress testing in a complex banking environment Experience in regulatory capital requirements, risk aggregation, and capital allocation Experience with Treasury risks including asset liability management (ALM), interest rate risk in banking book, and market risk in trading portfolios Strong analytical skills with high attention to detail and accuracy Technical or academic writing skills and experience Strong project management skills to ensure delivery of highest quality of work within tight timelines, as well as creating, maintaining, and supporting processes subject to intense regulatory scrutiny Excellent communication skills and experience in building and maintaining partnerships across various levels of the organization Proficiency managing databases, spreadsheets, or programming (understanding code and coding including one or more of SAS, Python, R, VBA, C, Java, or C++) License certifications in finance and risk such as CFA, FRM, preferred Understanding of model risk supervisory guidance and model validation requirements for large and complex institutions, across geographies Knowledge of Wells Fargo systems and process, and industry standard practices for CCAR/DFAST, RRP, etc. Job Expectations: Execute the Validation processes based on model risk supervisory guidance, Model Risk Management Policy and procedures, and current industry best-practices in one or more of the above-named areas. In particular: Ensure credible challenge of models through validation process Evaluate all relevant components of models and assess model soundness across lifecycle Identify areas of weakness and work with model owners, risk partners, and other key stakeholders to ensure risk commensurate remediation Demonstrate strong knowledge of subject matter area of focus, as well as sound validation and analysis techniques Deliver high quality and timely validation reports combining intellectual rigor, analytical depth, and key model risk perspective Support timely resolution of model weaknesses Follow reporting and escalation protocols of review results and follow up on identified risks/observations Continually work to improve efficiency, consistency, and quality of independent model validation Ensure all models within scope are independently validated per expected standards and schedule Build and maintain effective working relationships with key partners and stakeholders across Wells Fargo Understand model risk supervisory guidance, Model Risk Management Policy, and current industry best-practices

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5 - 8 years

22 - 25 Lacs

Pune

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Agent Development: Design, implement, and optimize AI agents using Microsoft CoPilot and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration: Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation: Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement: Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills: Strong knowledge of Microsoft Power Automate, Azure AI, and CoPilot features. Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. Understanding of conversational AI technologies and chatbot frameworks. Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements: Bachelors or Masters degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying AI/ML models in real-world applications. Strong programming skills, especially in Python, and familiarity with version control systems like Git. Extensive experience in the Microsoft environment, with expertise in CoPilot and related technologies. Excellent problem-solving and communication skills. Ability to work independently and collaboratively in a fast-paced, dynamic environment.

Posted 3 months ago

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