Role: Senior Data Scientist Job Location- Vashi, Mumbai (5 mins walk from Vashi station) Company: Morningstar (Product Company) Website: https://www.morningstar.com/ Job Description The Role: Working & collaborating with a cross-functional team of Data Scientists, MLOPs Engineers, Solution Architects, Software Engineering & Product Managers to help build an automated solution for data collection. Seamlessly deploy and operationalize models as scalable & robust services which will include requirement understanding, model development, productionizing models, model serving, API/library/CLI development, developing data visualization tools, code refactoring, unit testing and support. As a Data Scientist, you will be a leading contributor in the implementation of Artificial Intelligence (AI) within Data Collections software applications, API's, and other data products. This role requires significant interaction with both upstream and downstream stakeholders across Technology, Data, Products, Sales/Service, and Research for: Data Collection and Cleaning: Gathering data from various sources and ensuring its quality by cleaning and organizing it. Data Analysis: Using statistical techniques and machine learning algorithms to analyze data and uncover patterns, trends, and insights. Model Building: Creating predictive models and algorithms to solve business problems and improve decision-making. Data Visualization: Presenting data insights through visualizations and reports to help stakeholders understand the findings. Collaboration: Working closely with business stakeholders to understand their goals and determine how data can be used to achieve them Key Requirements: Must have 5-8 years of relevant experience as Data Scientist. Experience in extracting data / information, through complex semi-structured and unstructured documents using NLP & Parsing Analyzing business problem and cut through the data challenges Ability to churn the raw corpus and develop a data/ML model to provide business analytics (not just EDA), machine learning based document processing and information retrieval. Quick to develop the POCs and transform it to high scale production ready code. Must Have Skills: NLP, Scraping, Parsing including libraries such as NLTK, Gensim, Spacy, Scrapy, beautifulsoup, regex etc. Deep Learning including Keras, TensorFlow / PyTorch, Neural Networks, such as CNN, LSTM/GRU/RNN/CNN/GAN/Residual Networks etc. Generative AI, Transfer Learning, Transformers, Embeddings, LLMs, Prompt Engineering, Encoders, Decoders etc. Supervised, unsupervised, semi-supervised, few shot / zero shot learning including EDA, training, modelling, hyper-parameter tuning, API creation etc. in Regression & Binary/Multiclass classifications in algorithms such as Decision Trees, SVM, XGBoost etc. Python data structures using List, tuple, dictionary, collections, iterators, Pandas, NumPy etc. including libraries such as Scikit-learn, imblearn, SciPy etc. Database & SQL knowledge (like Postgres, SQL Server, MySQL etc) Desired Skills: AWS services like EC2, Beanstalk, Lambda including Containerization, Docker images etc. Generative AI, Transfer Learning, Transformers, Embeddings, LLMs, Prompt Engineering, Encoders, Decoders etc. Object oriented programing(OOP) & Rest API) CI/CD/CT, MLOps Morningstar is an equal opportunity employer.

Lead Quantitative Analyst, Structured Finance Analytics (Mumbai) The Credit Operations Mumbai Analytics team enables and supports the efficient and effective delivery of credit ratings/information to the market with its specialized skills and assets, consistent frameworks, and economies of scale. We collaborate with stakeholders to build creative, impactful solutions and offer services for the business and the market. About the Role Morningstar DBRS Structured Finance Analytics team is looking for a candidate with a strong problem-solving, analytical, and technical mindset . As a Lead Quant Analyst , you will be responsible for: Managing a team of offshore Quant Analysts Supporting automation of data analysis processes Building and running data analytics to aid rating, research, and surveillance processes Developing and enhancing data analysis, data visualization, and workflow optimization tools We are looking for an individual with a strong understanding of Structured Finance products (RMBS, ABS, CMBS, etc.) and technical skills to build efficient FinTech solutions . Required Technical Expertise: Python, Tableau, AWS, Athena, SQL, and VBA. Location: Navi Mumbai Work Shift: EMEA Responsibilities Manage and mentor a team of 6-8 Quant Analysts , providing guidance on technological enhancement and fostering a. Manage work priorities of the team, including quality & timeliness of delivery schedules , periodic reporting, and regular interactions with the onshore team . Lead and mentor the team on critical processes to achieve business goals. Maintain regular communication with the Global Structured Finance Analytics team and Credit Technology team to ensure projects meet requirements and pass UAT . Lead data transformation, improvement, and integration , based on business requirements. Understand core concepts of data storage and access (SQL, Athena, AWS S3). Implement quick-fix solutions aligned with dynamic business needs . Participate in design and build phases to produce high-quality deliverables . Identify and implement process efficiencies and automation . Collect, organize, and analyze data from internal and external sources for use in criteria development, ratings, and research reports . Take ownership of tasks with a focus on quality and accuracy . Be highly organized with the ability to multi-task and meet tight deadlines . Ensure compliance with regulatory and company policies and procedures . Requirements 9-11 years of relevant experience in Credit Modeling / Model Validation . Qualifications: MBA (Finance) / BTech / PhD (Math) from a Tier I college . Strong analytical skills with experience handling large databases/datasets . Expertise in: Python / Anaconda Data Science Stack (Jupyter, Pandas, NumPy) Tableau, Microsoft Excel, MSSQL Experience with SAS/R is a plus. Familiarity with AWS infrastructure is an added advantage. Ability to manage multiple tasks and deliver results on time . Morningstar DBRS is an equal opportunity employer.

Role : Data Research Analyst Shift : AU/UK/US Location : Vashi, Navi Mumbai Work Mode : Hybrid(3 days WFO & 2 days WFH) Job Description Morningstar is one of the largest independent sources of Fund, Equity, Credit data and Research in the world, and our advocacy for investors interests is the foundation of our company. We provide independent analysis on individual securities, funds, markets, and portfolios. We also provide data on hundreds of thousands of investment offerings, including stocks, mutual funds, and alternative vehicles, along with real-time global market data on millions of equities, indexes, futures, options, commodities, and precious metals, in addition to foreign exchange and Treasury markets. In this role as a Data Research Analyst, you will analyze, interpret and collect operational, document, performance, and portfolio data from various vendor sources. This role entails performing thorough research, generating valuable insights, and maintaining up-to-date data records. The ideal candidate possesses strong analytical skills, attention to detail, and proficiency in tools and techniques. Also adhere to the company goals, policies and procedures and work in a focused manner to achieve the overall objectives. You will be responsible for, with the help of leaders, ensuring and improving the performance, productivity and efficiency and the delivery of the operational performance KPIs. You will effectively manage your performance and development to support our continuous operational success. Responsibilities: 1. Actively collect and manage investment data using Morningstar systems, ensuring timely, complete, and accurate data to meet business goals while maintaining productivity and adhering to quality standards. 2. Take ownership of data quality control to ensure consistency and high standards, meeting client and product requirements. 3. Manage relationships with asset management companies, insurance providers, and other data vendors to foster collaboration and data integrity. 4. Develop a comprehensive understanding of datasets, policies, and processes for regions under coverage to ensure informed decision-making. 5. Actively participate in team discussions, methodology reviews, and meetings to raise concerns, propose solutions, and contribute to decision-making. 6. Drive continuous process improvement through quality initiatives, using Lean Six Sigma tools, Continuous Improvement and automation. 7. Collaborate closely with quality assurance product, and technical teams to resolve client data issues effectively and efficiently. 8. Work with global teams on process management 9. Promote an automation mindset by identifying improvement opportunities and collaborating with leadership to drive process enhancements. 10. Ability to perform effectively under tight deadlines and manage pressure during peakperiods. Requirements: 1.Bachelors degree or higher in Economics, Finance, Business, Mathematics, or Statistics, with a minimum of 60% in the final year, and a solid understanding of fund investment data. 2. 2 - 3 years of experience in Data analysis, research or a related role, Having knowledge of Capital markets and Secondary market is preferrable 3. Proficiency in MS Office tools (Excel, PowerPoint, etc.) and Experience with database management systems SQL; advanced users will be given preference. 4. Familiarity with data visualization tools (e.g., Tableau, Power BI) with a passion for learning, developing, and deploying solutions in the rapidly evolving AI/GenAI space. 5. Strong analytical and problem-solving skills, complemented by excellent written and verbal communication and reporting abilities. 6.Candidates should be flexible to work in shifts.