9 Chaid Jobs

Responsibilities: * Collaborate with stakeholders on project requirements and deliverables * Develop credit risk models using VBA & Excel * Analyze data, create regression models, and implement CHAID techniques

The purpose of this role is to bring in the culture of Data aggregation and analysis. From recognizing human patterns in the numbers, to improv e the consumer experience via analytics, to find ways to bring data to achieve organizations Goals & objective Key Responsibilities Responsibilities Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regard to analytics Organize and analyze large, diverse data sets across multiple platforms Identify key insights and leverage them to inform and influence product strategy Technical Interactions with vendor or partners in technical capacity for scope/ approach & deliverables. Develops...

As a Data Science Analyst at McKinsey, you will be part of the Insights & Analytics group, collaborating with consulting teams to tackle analytically complex client problems in the marketing domain. Your role will involve applying analytical and modeling tools, leveraging statistical techniques, and conducting predictive modeling to derive valuable insights. Your responsibilities will primarily focus on client service, with additional tasks related to knowledge development. Key activities will include conducting statistical analysis and modeling for marketing initiatives, developing models for pricing and promotions optimization, providing guidance on analytics projects, contributing to the ...

As a Model Validation/Audit/Review Specialist at KGS, your primary responsibility will be to conduct validation, audit, and review of credit loss forecasting models within the retail or wholesale domain, specifically focusing on IFRS9/IRB models and their PD/EAD/LGD components. In this role, you will need to understand relevant regulatory requirements, review development documentation, perform testing and benchmarking, create challenger models using SAS, R, or Python, and prepare comprehensive reports. Your duties will also include providing support for other model validation activities related to Underwriting scorecards, Credit Scoring, behavioral models, economic scenario models, and valid...

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future by delivering impactful outcomes. With a team of over 125,000 professionals spread across more than 30 countries, we are characterized by our inherent curiosity, entrepreneurial spirit, and commitment to creating enduring value for our clients. Fueled by our overarching purpose of continually striving towards a world that functions better for individuals, we partner with and enhance leading enterprises, including members of the prestigious Fortune Global 500. Our core competencies revolve around in-depth business and industry expertise, digital operational services, and proficiency in data,...

You will be responsible for developing Risk Segmentation models using sophisticated statistical techniques such as CHAID, cluster analysis, and pattern recognition. These models will help in identifying credit abuse and first party fraud risks at Acquisition and Existing Customer Management stages. Additionally, you will work on establishing swap set analysis and P&L optimization using these models and have hands-on experience in Credit/Fraud Risk strategy development. Preferred knowledge of credit/fraud risk analytics is required for this role. You will collaborate closely with cross-functional teams, including business stakeholders, MRM, governance teams, and strategy implementation teams....

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Business Analyst Data Scientist In this role, the person is responsible for developing and implementing NLP models ...

GM Analytics Solutions is looking for a driven, dedicated and experienced Data Scientist Essential Responsibilities: As a Data Scientist, you will solve complex challenges and identify new opportunities using a combination of Data analytical expertise, business acumen, strategic thinking, and project & relationship management skills. He/she will work with the Product Owner, VP of IT capture business requirements, The Data Scientist will partner with the development team (on-site and off-shore) to execute the projects. Must have strong knowledge about statistical techniques like segmentation, predictive modeling, statistical modeling clustering, linear regression, logistic regression, SVM, Ra...

Skills Required: Python, R, Statistics, Machine Learning, Deep Learning, Cluster Regression, Generative AI (GenAI) Responsibilities: Assist with the development, testing, and deployment of AI/ML models, including Generative AI (GenAI) solutions. Brainstorm and implement solutions by referencing research papers, scholarly articles, and industry best practices. Perform data mining using state-of-the-art methods to extract insights and enable predictive analytics. Process, cleanse, and verify the integrity of datasets , ensuring their usability for accurate analysis and model training. Conduct error analysis for demand, wind, and solar forecast models to identify and implement enhancements. Car...