6 Model Implementation Jobs

As a part of Barclays Analyst Impairment team, you will play a crucial role in embedding control functionality by leading the development of the team's output. Your responsibilities will include helping colleagues demonstrate analytical and technical skills, along with knowledge of retail credit risk management fundamentals, especially in impairment management. It is essential to showcase sound judgment while collaborating with the wider team and management. To excel in this role, you will need to: - Provide commentary in various forums and own IFRS9 risk models throughout their lifecycle, from data governance to monitoring. - Develop Post Model Adjustments (PMA) to address inaccuracies and underperformance in models. - Review monitoring reports to identify reasons for model underperformance and liaise with modelling teams. - Design and implement tactical and strategic remediation, as well as support the production of commentary packs for multiple forums and group impairment committee. Additionally, some highly valued skills for this role include: - Review and challenge IFRS9 impairment models, both SPOT and Forecasting. - Produce annual and monthly forecasts for IFRS9. - Maintain management information related to impairment metrics such as stock coverage. - Possess a working knowledge of key regulatory requirements for IFRS9 and apply them to existing processes and reporting. - Present results and communicate effectively with management and stakeholders. - Foster a culture of decision-making through the provision of robust and accurate analyses. Your performance in this role will be evaluated based on key critical skills relevant for success, including risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills. This position is based in Noida. Purpose of the role: The primary purpose of this role is to evaluate and assess the potential impairment of financial assets, ensuring accurate reflection of the bank's economic value of its assets in financial statements. Accountabilities: - Identify potential impairment triggers and assess the potential for impairment of financial assets by analyzing relevant financial and non-financial information. - Apply quantitative and qualitative impairment tests to determine asset impairment. - Calculate impairment provision, reflect impairment loss, and prepare accurate impairment disclosures for financial statements. - Manage the performance of impaired assets and reassess their impairment status regularly. Analyst Expectations: - Perform activities timely and to a high standard, consistently driving continuous improvement. - Possess in-depth technical knowledge and experience in the assigned area of expertise. - Lead and supervise a team, guide professional development, allocate work requirements, and coordinate team resources. - Demonstrate leadership behaviours for creating an environment for colleagues to thrive and deliver excellently. All colleagues are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive in their daily behaviors and actions.,

The company Ideapoke is a global, fast-growing start-up with a presence in Bengaluru, Bay Area, Tokyo, and Shanghai. Their software, search, and insights drive innovation for Fortune 500 and Global 2000 companies worldwide. Ideapoke's growth is attributed to its dedicated team, committed to the company's vision and characterized by a strong work ethic and an entrepreneurial spirit. The company values continuous learning, growth, and making a difference, inviting individuals to join their journey. As a Lead Artificial Intelligence at Ideapoke, you will be responsible for collaborating with researchers and engineers across various disciplines to develop advanced data analytic solutions. Your role will involve working on large datasets, mapping business requirements into AI products, and evaluating algorithm performance based on real-world data sets. You will be required to mine data from various sources, design and implement machine learning algorithms, and optimize existing algorithms for accuracy and speed. Additionally, you will be expected to research and implement technical solutions in deep learning for real-world challenges. To excel in this role, you are required to hold a Ph.D., Master's degree, B.Tech, or B.E. in Computer Science, Statistics, Mathematics, Engineering, or related fields. You should possess 10 to 12 years of academic or professional experience in Artificial Intelligence, Data Analytics, Machine Learning, Natural Language Processing, or related areas. Technical proficiency in Python, Java, R, XML parsing, Big Data, NoSQL, and SQL is essential for this position. Moreover, you should have a strong mathematical and statistical background, enabling you to understand algorithms and methods from a mathematical and intuitive perspective. The ideal candidate for this role will be a self-starter with the ability to manage multiple research projects. You should have a flexible approach to learning new skills, be a team player, and possess strong communication skills. Your role will involve establishing scalable and efficient processes for model development, validation, implementation, and large-scale data analysis in a distributed cloud environment. By joining Ideapoke, you will contribute to the company's innovative culture and work towards amplifying success for both the organization and its clients.,

As an Analyst in Impairment at Barclays, you will play a crucial role in embedding control functionality by leading the development of outputs for the team. Your responsibilities will include supporting colleagues in demonstrating analytical and technical skills, as well as knowledge of retail credit risk management fundamentals, especially in impairment management. Collaboration with the wider team and management will require sound judgment from you. To excel in this role, you should be able to provide commentary for various forums, own IFRS9 risk models throughout their lifecycle, develop Post Model Adjustments, review model monitoring reports, design and implement remediation strategies, and support the production of commentary packs and decks for multiple forums and committees. Some other key skills that are highly valued for this role include reviewing and challenging IFRS9 impairment models, producing annual and monthly forecasts, maintaining management information on impairment metrics, understanding key regulatory requirements for IFRS9, presenting results to stakeholders, and fostering a culture of decision-making through robust analyses. You may undergo an assessment based on critical skills such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job-specific technical skills. This role is based in Noida. The purpose of this role is to evaluate and assess the potential impairment of financial assets to ensure accurate reflection of the bank's economic value of assets in its financial statements. Your accountabilities will include identifying potential impairment triggers, analyzing relevant information, applying impairment tests, assessing impairment loss, calculating impairment provisions, managing impaired assets" performance, and reassessing their impairment status regularly. As an Analyst, you are expected to perform activities timely and to a high standard, demonstrate in-depth technical knowledge, lead and supervise a team, guide professional development, and exhibit clear leadership behaviours. You will impact related teams, partner with other functions, manage risk, and strengthen controls. All colleagues at Barclays are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, along with demonstrating the Barclays Mindset of Empower, Challenge, and Drive to guide their behavior and actions.,

As an Artificial Intelligence professional, you will be responsible for designing, implementing, and optimizing AI applications and systems, analyzing data, and collaborating with cross-functional teams to meet business objectives. Your key responsibilities will include designing and developing AI applications and infrastructure by creating algorithms and models to process and analyze data effectively. You will also be involved in analyzing complex data sets to identify trends, patterns, and insights to support informed decision-making and improve AI models. In this role, you will implement machine learning models and algorithms to solve specific problems and enhance decision-making processes. It will be essential to work closely with cross-functional teams, translating business needs into AI solutions that align with organizational goals. Maintenance and optimization of AI processes will be a part of your duties, ensuring the smooth transition of machine learning models from development to production environments and maintaining their performance over time. Producing clear technical reports and documentation to communicate findings and methodologies to stakeholders will also be crucial, along with conducting training sessions to share AI knowledge across the organization. Staying updated with advancements in AI and machine learning technologies is vital to ensure that your skills and knowledge remain relevant in this rapidly evolving field. The multifaceted role of an AI professional requires a blend of technical skills, analytical thinking, and collaboration as AI continues to transform various industries, leading to a significant growth in demand for skilled professionals in this field. This is a full-time job with a morning shift schedule and the work location is in person. By understanding these duties, you can better prepare for a career in artificial intelligence and align your skills with industry needs.,

As a Senior Model Developer at Barclays, you will play a crucial role in leading the evolution of the digital landscape, driving innovation and excellence within the organization. Your primary responsibility will be to utilize cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. Quantitative Analytics (QA) is a global organization comprising highly specialized quantitative modellers and developers, led by Olaf Springer, a member of Risk Exco. In this role, you will be involved in developing, testing, implementing, and supporting quantitative models for various aspects of risk management and valuation across Barclays. Key responsibilities of the Senior Model Developer include: - Developing predictive models, statistical analyses, and optimization procedures - Participating in project design and delivery with other functional teams - Producing robust documentation to ensure replicability of results - Collaborating with colleagues to ensure project completion within agreed time frames - Contributing to the broader Quantitative Analytics department through peer reviews and project collaboration In terms of stakeholder management and leadership, you will be required to lead projects and system migrations, manage business requirements, and ensure timely delivery of projects. Additionally, you will be involved in decision-making processes, problem-solving, and strategic planning related to model development and implementation. The successful candidate for this role should possess a strong background in risk and controls, change management, business acumen, and technical skills relevant to the position. Location of the role is in Noida. The purpose of the role is to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Key responsibilities include designing analytics solutions, collaborating with technology teams, developing high-performing analytics solutions, and providing ongoing support for the effectiveness of these solutions. As an Assistant Vice President, you are expected to advise and influence decision-making, lead a team, and demonstrate a clear set of leadership behaviors. You will collaborate closely with other functions/business divisions, set objectives, and coach employees towards achieving those objectives. Overall, the role of a Senior Model Developer at Barclays requires a combination of technical expertise, leadership skills, and the ability to collaborate effectively with various stakeholders to drive innovation and excellence within the organization.,

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