21 Model Implementation Jobs

As a Lead Artificial Intelligence at Ideapoke, your main responsibilities will include: - Working with product/business owners to map business requirements into products / productized solutions and/or working prototypes of AI algorithms. - Evaluating and comparing algorithm performance based on large, real-world data sets. - Mining massive amounts of data from various sources to gain insights and identify patterns using machine learning techniques and complex network analysis methods. - Designing and implementing ML algorithms and models through in-depth research and experimentation with neural network models, parameter optimization, and optimization algorithms. - Working to accelerate the d...

As a Business Analytics Analyst in the Fraud Analytics team at Citi, you will play a crucial role in developing and validating fraud detection models to support Citis North American Cards business. Your responsibilities will include: - Partnering closely with Strategy partners and Model Risk Management validators to support the model lifecycle, including validation, ongoing performance evaluation, and annual reviews. - Conducting model development, validation, and testing for fraud detection models, utilizing statistical analysis, data validation, and model performance evaluation techniques. - Performing rigorous validation assessments for fraud model validation, developing and implementing ...

You have an exciting opportunity to join a dynamic team at Standard Chartered as a Machine Learning Engineer. In this role, you will be responsible for applying machine learning techniques such as Natural Language Processing or Computer Vision using TensorFlow and Pytorch. Your strong analytical and problem-solving skills will be put to use as you build and deploy end-to-end ML models to support predictions, recommendations, search, and growth strategies. Additionally, you will need to have solid software engineering skills across multiple languages like Java, Python, and C/C++. Key Responsibilities: - Establish scalable and efficient processes for data analyses, model development, validatio...

Role Overview: As a Senior Data Scientist at Ideapoke, you will be responsible for collaborating with product/business owners to map business requirements into products/productized solutions or prototypes of AI algorithms. Your role will involve evaluating and comparing algorithm performance based on real-world data sets, mining massive amounts of data to gain insights using machine learning techniques, and designing and implementing ML algorithms through in-depth research and experimentation. You will also work on accelerating the distributed implementation of existing algorithms, conducting research to advance the state of the art in deep learning, and establishing efficient processes for ...

Role Overview: You will be joining the EY GDS Risk Consulting team as a Senior Consultant in Credit Risk within the MENA Financial Services Risk Management (FSRM) division. In this role, you will be responsible for delivering tailored risk solutions to clients in the banking sector, focusing on credit risk management within banking book portfolios. Your work will involve collaborating with multi-disciplinary teams to ensure high-quality outputs and service to clients, as well as developing and implementing new solutions to meet client needs. Key Responsibilities: - Demonstrate deep technical expertise and industry knowledge, particularly in financial products with a focus on lending solution...

You will be responsible for overseeing business activities, models, and methodologies related to investment risk with a focus on developing new tools and methodologies for risk quantification. Your key responsibilities will include: - Designing, developing, and deploying advanced AI/ML models to derive actionable insights, automate processes, and facilitate strategic decision-making across various business units. - Collaborating with teams to design and oversee the end-to-end lifecycle of AI/ML initiatives, from problem scoping, data engineering, model development, validation, deployment, to monitoring. - Leading the model development process, including tasks such as data wrangling/analysis,...

As a Transaction Monitoring SAS AML Model Validation Specialist, you play a crucial role in ensuring the accuracy and effectiveness of AML (Anti-Money Laundering) models utilized for transaction monitoring. Your responsibilities include: - Having a deep understanding of SAS AML solutions, statistical modeling, and regulatory requirements. - Demonstrating extensive experience in SAS AML, encompassing model development, implementation, tuning, and validation. - Conducting thorough validation of sanctions screening models, focusing on data integrity, model performance, and output accuracy. - Performing detailed data analysis to evaluate the performance and accuracy of AML models, with a keen ey...

As a Quant Analytics Market Risk / Treasury - Vice President at Barclays, you will be driving the evolution of the Risk function by developing best-in-class credit risk models using industry-leading model development frameworks & methodologies. Your role will involve working in a global quant team, collaborating with regulators worldwide, and leveraging cutting-edge technology. Effective stakeholder management, leadership, and decision-making skills are essential to support business strategy and risk management. Key Responsibilities: - Develop best in class credit risk models using industry leading model development frameworks & methodologies - Work in a global quant team and collaborate wit...

Role & responsibilities Develop, implement, and enhance credit risk models using SAS, Python, and SQL . Perform in-depth risk analysis to generate actionable insights for business decision-making. Work with large and complex datasets, ensuring data accuracy, consistency, and quality for model development and reporting. Collaborate with cross-functional stakeholders, translating complex technical concepts into clear and concise business insights. Support regulatory compliance and internal risk reporting Preferred candidate profile Strong hands-on expertise in SAS, SQL, and Python . Solid understanding of Credit Risk / Risk Analytics concepts. Strong problem-solving and analytical thinking ski...

Role Overview: As an Assistant Vice President in the Impairment US Cards Portfolio Analytics team at Barclays, you will play a crucial role in embedding a control functionality by leading the development of team outputs. You will assist your colleagues in demonstrating analytical and technical skills, along with a solid understanding of retail credit risk management, particularly focusing on impairment management. Your sound judgment and collaboration with the wider team and management will be key to success in this role. Key Responsibilities: - Provide commentary for multiple forums and own IFRS9 risk models for managing the entire lifecycle from data governance to monitoring - Develop Post...

Role Overview: You will be joining a leading investment banking environment as a Quantitative Analyst (Desk Quant), where you will provide front-office support to CVA/XVA traders. Your main responsibilities will include developing pricing models for interest rate and cross-currency derivatives, enhancing pricing frameworks, and collaborating with trading and risk teams to deliver front-office quant solutions. Key Responsibilities: - Provide front-office desk quant support to CVA/XVA traders, actively engaged in daily pricing of Interest Rate Swaps, Caps, Swaptions, Cross-Currency Swaps, and Options. - Develop, implement, and maintain quantitative pricing models within the Front Office Quant ...

As a Quant Analytics Treasury - Vice President at Barclays, you will be spearheading the evolution of the Risk function by developing best-in-class credit risk models using industry-leading frameworks and methodologies. You will work in a global quant team, collaborate with regulators worldwide, and utilize cutting-edge technology. Your role will also involve effective stakeholder management, leadership, and decision-making to support business strategy and risk management. **Key Responsibilities:** - Develop credit risk models such as Treasury Risk, Liquidity Modelling, Hedge accounting, ICAAP VAR Model, PRA110 liquidity reporting, and Model Implementation. - Utilize hands-on working knowled...

About Ideapoke: Ideapoke is a global, fast-growing start-up with offices in Bengaluru, Bay Area, Tokyo, and Shanghai. Our software, search, and insights power the innovation agenda of the largest Fortune 500 and Global 2000 companies worldwide. Our growth is fueled by our people and their unwavering commitment to the company-wide vision, strong work ethic, and an entrepreneurial do-it-all spirit. We believe that innovation amplifies success in every piece of work we do and by extension, amplifies the success of our clients. Ideapoke values constant learning, growth, and making a difference. Join us and be part of our story. Sr. Data Scientist: We are seeking applicants with a demonstrated re...

Join Barclays as Vice President Impairment, where you will help colleagues demonstrate analytical and technical skills, along with knowledge of the fundamentals of retail credit risk management, particularly across impairment management. At Barclays, the future is not just anticipated - it is created. Your role will involve embedding a control functionality by leading the development of the team's output and demonstrating sound judgment in collaboration with the wider team and management. To be successful in this role, you should have experience in owning IFRS9, CCAR, and CECL risk models, managing the entire lifecycle from data governance to monitoring. Additionally, knowledge of presenting...

You should have at least 2 years of experience in model validation, implementation, or risk analytics, preferably within the banking or credit card industry. Your responsibilities will include performing independent validation of models using techniques such as stress testing, back-testing, and sensitivity analysis, XGBoost to evaluate the accuracy, reliability, and stability of models. A strong understanding of statistical and machine learning concepts is required, including regression, classification, clustering, and neural networks. You should also have experience with statistical testing, hypothesis testing, and data validation techniques. Proficiency in Python, SQL, data analysis, and m...

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 ...

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 r...

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, ...

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 processe...

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 ...

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 interpre...