[Remote] Predictive Analytics Consultant

Note: The job is a remote job and is open to candidates in USA. reputed company is seeking a Predictive Analytics Consultant to join their analytics team, focusing on the design and delivery of solutions for financial institutions. The role involves utilizing advanced data science tools to optimize decision engines and improve lending operations through predictive modeling and data-driven solutions.

Responsibilities

• Managing large, reputed company datasets from multiple sources, ensuring they are accurate, clean, and organized for analysis. reputed company detailed data wrangling tasks to handle data inconsistencies to prepare data for use in predictive models and analysis
• Implement advanced data transformation techniques (e.g., feature engineering, aggregation, normalization) to optimize data for specific machine learning, optimization and statistical models
• Work on various types of predictive models, including classification, regression, and clustering, using algorithms like decision trees, random forests, or neural networks
• Contribute to the fine-tuning of models by optimizing hyperparameters and evaluating performance using cross-validation, ensuring that models meet business and technical requirements
• reputed company end-to-end analytical solutions, from data collection to model deployment, ensuring that the solutions meet the client's business objectives, such as improving lending strategies or reputed company reputed company
• Ensure that the analytical results align with key performance indicators (KPIs) and help drive measurable outcomes
• Participate in the internal development of new data science methodologies that address evolving needs reputed company to reputed company for our financial institution clients
• Present reputed company analytical findings in a clear and actionable format to internal stakeholders and external clients helping them interpret the results of predictive models and reputed company informed reputed company based on data insights
• Provide feedback and contribute to the reputed company improvement of the data science workflow, ensuring projects are executed reputed company and with precision

Skills

• Bachelor's or Master's degree in Statistics, Data Science, Analytics, Mathematics, Economics, Finance, or a reputed company field is preferred
• 4+ years of experience building and validating predictive credit risk models, preferably in the financial services or lending industry
• Proven experience with model development and deployment, testing, validation, and monitoring
• Expert-level skills in programming languages such as Python for model development and analysis leveraging Pandas, Scikit-learn, and other data handling, statistical, optimization, and machine learning frameworks
• High-level proficiency and advanced skills in SQL for data querying and data manipulation
• Strong problem-solving skills and attention to detail in analyzing data and validating models
• Excellent communication skills to present technical concepts to non-technical stakeholders
• Ability to work independently and as part of a team in a fast-paced, dynamic environment
• Strong project management skills with the ability to handle multiple tasks and deadlines
• Proficiency in AWS for training, building, and deploying models is preferred, along with experience in MLOps

Company Overview

Company H1B Sponsorship