217 Model Development Jobs

Educational Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering,Master Of Comp. Applications,Master Of Science Service Line Engineering Services Responsibilities Master's degree in Computer Science, Statistics, Mathematics, or a related field. 3+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Technical and Professional : Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Preferred Skills: Technology-Analytics - Techniques-Cluster Analysis Technology-Analytics - Techniques-Decision Trees Technology-Analytics - Techniques-Linear Regression Technology-Machine Learning-Python

About the Role: Grade Level (for internal use): 09 Data Scientist Location: Bengaluru The Team: The Automotive Insights - Supply Chain and Technology and IMR department at S&P Global is dedicated to delivering critical intelligence and comprehensive analysis of the automotive industry's supply chain and technology. Our team provides actionable insights and data-driven solutions that empower clients to navigate the complexities of the automotive ecosystem, from manufacturing and logistics to technological innovations and market dynamics. We collaborate closely with industry stakeholders to ensure our research supports strategic decision-making and drives growth within the automotive sector. Join us to be at the forefront of transforming the automotive landscape with cutting-edge insights and expertise. Responsibilities: Develop and implement advanced analytical models to support S&P Global Mobility's SCT and IMR business strategies. Lead projects leveraging generative AI and intelligent agents to enhance predictive capabilities and automate complex processes. Collaborate with cross-functional teams to generate data-driven insights and solutions for the automotive sectors. Design and optimize data pipelines for efficient data processing and integration across various platforms. Mentor junior data scientists, providing guidance on best practices in data analysis and model development. Required Qualifications: Bachelors or masters degree in computer science, Analytics, Data Science, Statistics, or a related field. 3 to 6 years of experience in building Machine learning or Generative AI applications Proven experience with data analysis tools such as Python, R, or SQL. Strong understanding of machine learning algorithms and frameworks. Expertise in AWS cloud services, including data storage, processing, and machine learning solutions. Experience in deploying and managing machine learning models on AWS. Familiarity with MLOps practices and tools for model lifecycle management. Knowledge of generative AI techniques and applications. Understanding of data engineering and data pipeline optimization. Soft Skills: Excellent communication skills for effective collaboration with cross-functional teams. Strong problem-solving abilities with a proactive approach to challenges. Ability to work independently and manage multiple projects simultaneously. Adaptability to rapidly changing environments and emerging technologies. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- , SWP Priority Ratings - (Strategic Workforce Planning)

Educational Bachelor of Engineering Service Line Quality Responsibilities Data Science Consultant with machine learning and Python experience. Knowledge on end-to-end architecture of Data Science and machine learning project. Experience in productionizing machine learning models and guide development team for implementing machine learning use cases. The candidate should provide technology consulting for defining right Data Science and ML use cases.Responsibilities: Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoringguide other team members ML algorithms AI domainsNLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets ProgrammingPython Databases Knowledge of cloud platforms Azure/AWS/GCP. Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL

Educational Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering,Master Of Comp. Applications,Master Of Science Service Line Engineering Services Responsibilities Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Technical and Professional : Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Preferred Skills: Technology-Analytics - Techniques-Cluster Analysis Technology-Analytics - Techniques-Decision Trees Technology-Analytics - Techniques-Linear Regression Technology-Machine Learning-Python

Educational Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering,Master Of Comp. Applications,Master Of Science Service Line Engineering Services Responsibilities Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability. Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling. collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services. Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence. Additional Responsibilities: GExperience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Technical and Professional : Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning. Strong programming skills in Python and proficiency in data science libraries like pandas, scikit-learn, numpy, Pytorch/Keras, and TensorFlow. Experience with cloud computing platforms, particularly Google Cloud Platform (GCP). Excellent data visualization skills using tools like matplotlib, seaborn, or Tableau. Strong communication and presentation skills, both written and verbal. Preferred Skills: Technology-Analytics - Techniques-Cluster Analysis Technology-Analytics - Techniques-Decision Trees Technology-Analytics - Techniques-Linear Regression Technology-Machine Learning-Python

Develop and fine-tune Generative AI models using Azure OpenAI (GPT-4o, GPT-4o-mini, Embedding Models, etc.), NLP, and Large Language Models (LLMs). Implement and optimize AI solutions for text generation, document summarization, and predictive analytics. Leverage Prompt Engineering techniques to refine AI-generated responses for domain-specific applications. Enhance search capabilities using Azure AI Search(previously Cognitive Search) for intelligent data retrieval. Utilize Azure Document Intelligence(previously Form Recognizer) to automate document processing and structured data extraction. Optimize model performance through hyperparameter tuning, transfer learning, and fine-tuning techniques. Manage and process large-scale datasets using Azure Storage Containers for AI-driven applications. Leverage Redis Cache to enhance AI model response time and optimize application performance. Utilize Python for data preprocessing, feature engineering, and AI model development. Develop AI-driven applications with Python and cloud-based APIs. Deploy AI models and applications using Azure DevOps (CI/CD) pipelines for automated workflows. Integrate AI solutions with cloud-based infrastructures leveraging Azure services like Azure function apps and Azure OpenAI APIs. Ensure AI scalability and performance using containerized environments and cloud-native solutions. Hands-on experience with Azure AI services (OpenAI, AI Search, Document Intelligence). Knowledge of LLMs, Prompt Engineering, and Responsible AI practices. Familiarity with Redis Cache for optimizing AI inference times. Experience with MLOps and CI/CD best practices using Azure DevOps. Familiarity with all aspects of RAG framework from chunking strategies, embedding model selection, relevant system prompt tuning for RAG response, etc. Theoretical understanding of language models and the transformer architecture. Also familiarity with popular frameworks like Chain of Thought, ReAct framework for Agents

Job Title: Lead / Senior/ Data Scientist Experience: 8 to 15 years - Min 5+ Years in Data Science Location: Hyderabad, Hybrid Working hours: 12.00pm to 9.00pm Must Have: Gen AI, ML, Deep Learning, NLP, ML Ops, Data Model Developments and Deployments Key Responsibilities: Provide thought leadership, strategic insight, and clear communication on Data Science and execution for complex problems. Plan, coordinate, and oversee all technical aspects of our AI projects. Ensure that project goals align with the company's objectives and meet the needs of our stakeholders. Design and implement data-driven solutions using Microsoft Azures tools and services, such as Azure Machine Learning, Azure Databricks, Azure Data Factory and Azure databases or Fabric implementation. Ensure these solutions are scalable, reliable, and secure. Develop and implement sophisticated AI models to solve complex business problems. Use these models to generate actionable insights that drive strategic decision-making. Lead a talented team of data scientists working in multiple regions. Foster a collaborative environment that encourages innovation and professional growth. Work closely with cross-functional teams to understand their needs and challenges. Leverage your expertise to provide data-driven AI solutions that address these issues. Leverage large volumes of data from various sources to extract meaningful insights. Present these insights in a clear and concise manner to stakeholders. Drive feedback loop for the models implemented in production using metrics to ensure our whole ML Ops pipeline is effective and continuously refreshed with the right data set and algorithms. Stay updated with the latest trends and advancements in data science, machine learning, GenAI space and cloud computing.

Company: Oliver Wyman Description: Oliver Wyman Actuarial Analyst Life Office/Regions available Bengaluru, Gurugram Company Overview The Actuarial Consulting Practice of Oliver Wyman advises clients across a broad spectrum of risk management issues. We are a rapidly growing practice with offices across the globe. Our actuaries hold the highest professional qualifications and are nationally recognized as experts in their field(s). We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk. Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events. We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of riskhealthcare, life and annuity, and property and casualty. Oliver Wyman provides customized actuarial services and strategic insight, supporting clients as they strive to exceed their business objectives. Our exceptional client and employee retention exemplify our commitment to relationships built on trust, responsiveness and clear communication. The Actuarial Life Practice is a part of the broader Actuarial Practice which strives to be the consulting partner of choice for clients and employees, and to be recognized as the premier life, annuity and LTC actuarial consultancy by fostering the power of ideas to lead our industry, consistently helping clients achieve their strategic objectives, and gaining trusted advisor status. The practice seeks to inspire an entrepreneurial culture which fosters free flowing ideas, values diversity, and allows for challenges to the status quo. Its colleagues are proud to perform exciting, diverse, and leading-edge work. Job Title Actuarial Analyst Life Years of experience 3-5 years Office/Regions available: Bengaluru, Gurugram As an Actuarial Analyst , you will work alongside and learn from Oliver Wymans industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wymans clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, state regulators, and private equity firms. Potential projects may include: Actuarial model development of Life and Annuity products, valuation, and analysis support Supporting the transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workflow Contributing to Asset Liability Management efforts Assisting with actuarial model conversions and optimization Perform Actuarial model testing and validation Attending client and industry presentations, surveys, case studies and marketing support Development and maintenance of intellectual capital Qualifications and Desired Skills Bachelors or Masters degree, preferably in Actuarial Science, Mathematics, Statistics, Finance or a related field Commitment to passing actuarial exams Track record of and desire for rapid learning, high performance, and professional growth Strong written and oral communication skills Excellent time management skills Understanding of the value of collaboration, and the ability to work effectively in a team setting Deep critical-thinking skills and problem-solving ability Highly motivated individual and willingness to work in a dynamic environment Strong skills with MS Excel, MS Access or other database software, with VBA or other programming languages experience Experience in Moodys AXIS or FIS Prophet is preferred Why Work for Us Oliver Wyman seeks to invest in its people by fostering a safe and inclusive environment, respecting and welcoming different perspectives, promoting an ownership culture, providing opportunities for individuals to develop their personal brand, and celebrating successes and rewarding performance. Oliver Wyman offers a performance-based pay program that rewards colleagues for the contributions they make to our business results, including year-end bonuses based on personal and corporate performance. We also offer an impressive array of benefits. For more information, please visit our website at www.oliverwyman.com/actuaries. About Oliver Wyman Follow Oliver Wyman on X @OliverWyman. Marsh & McLennan Companies and its Affiliatesare EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. The Actuarial Practice of Oliver Wyman advises clients across a broad spectrum of risk management issues. We are a rapidly growing group with offices expanding across the globe. Our actuaries hold the highest professional qualifications and are nationally recognized as experts in their field(s). We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk. Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events. We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of riskhealthcare, life and annuity, and property and casualty. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: Oliver Wyman Description: Job Title Actuarial Consultant Life Years of experience 6-10 years Office/Regions available: Bengaluru, Gurugram As an Actuarial Consultant , you will work alongside and learn from Oliver Wymans industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wymans clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, state regulators, and private equity firms. Potential projects may include: Actuarial model development of Life and Annuity products, valuation, and analysis support Transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workflow Contributing to Asset Liability Management. M&A, and Strategic Reinsurance efforts Actuarial model conversions and optimization Perform Actuarial model testing and validation Attending client and industry presentations, surveys, case studies and marketing support Development and maintenance of intellectual capital Qualifications and Desired Skills Bachelors or Masters degree, preferably in Actuarial Science, Mathematics, Statistics, Finance or a related field Qualified or nearly qualified from SOA/IFoA/IAI Track record of and desire for rapid learning, high performance, and professional growth Strong written and oral communication skills Excellent time management skills Ability to work independently and direct junior staff Understanding of the value of collaboration, and the ability to work effectively in a team setting Deep critical-thinking skills and problem-solving ability Highly motivated individual and willingness to work in a dynamic environment Strong skills with MS Excel, MS Access or other database software, with VBA or other programming languages experience Experience in Moodys AXIS or FIS Prophet or similar Actuarial platforms is required Why Work for Us Oliver Wyman seeks to invest in its people by fostering a safe and inclusive environment, respecting and welcoming different perspectives, promoting an ownership culture, providing opportunities for individuals to develop their personal brand, and celebrating successes and rewarding performance. Oliver Wyman offers a performance-based pay program that rewards colleagues for the contributions they make to our business results, including year-end bonuses based on personal and corporate performance. We also offer an impressive array of benefits. For more information, please visit our website at www.oliverwyman.com/actuaries. About Oliver Wyman Follow Oliver Wyman on X @OliverWyman. Marsh & McLennan Companies and its Affiliatesare EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. The Actuarial Practice of Oliver Wyman advises clients across a broad spectrum of risk management issues. We are a rapidly growing group with offices expanding across the globe. Our actuaries hold the highest professional qualifications and are nationally recognized as experts in their field(s). We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk. Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events. We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of riskhealthcare, life and annuity, and property and casualty. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Purpose: Translate stakeholder requirements into comprehensive Anaplan models, utilising best practice to ensure scalability and efficiency Document model schemas, logic and rules clearly for other model builders, as well as end user processes, instructions and definitions for stakeholders Ensure the ongoing maintenance and governance of Anaplan models, including data integrity and availability, user access, and quality assurance. Provide end user support and issue resolution in a timely and effective manner, working with colleagues with the Anaplan Centre of Excellence to prioritise and address critical bugs and requested enhancements. Key Accountabilities: Designing, implementing and maintaining/optimising Anaplan models in line with best practice (scalable, sustainable, efficient) Provide end user support through change requests, capability uplift to enable self-service, and training support Stay across new developments within the Anaplan platform, including new feature releases, and proactively use your expertise to share knowledge, improve model quality and uplift end user experience Advanced data analysis and modelling, converting analysis into insights and recommendations Develop appropriate materials to communicate and present opportunities for relevant stakeholders Identifying and actively pursuing opportunities to improve capacity planning solutions across the Enterprise Creating requirements, solution design, delivery and functional documentations Conducting discovery sessions, sprint planning, stakeholder engagement, risk management and delivery of outputs within timeframes Essential Requirements Experienced Anaplan model builder - certified Analytical mindset and problem-solving skills Excellent communication, collaborate effectively Continuous learning mindset Risk awareness and governance Ability to work independently and self-manage multiple deadlines Understanding of hybrid agile methodologies Knowledge of other coding languages would be advantageous e.g. Python, SQL Experience in building reporting solutions in Power BI

Generative AI Experience in developing Generative AI based applications Knowledge of various GenAI techniques and frameworks. Python o Machine Learning model development and deployment Azure AI services Optional skills but good to have : SQL API development

: In Scope of Position based Promotions (INTERNAL only) Job Title- MoRM Risk and CapitalModel Validatior, AS Location- Mumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Model Risk related policies. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities You will be responsible for the timely and high-quality delivery of validation reports for all Risk and Capital Models developed for Credit Risk. Develop and set state-of-the-art validation approaches and standards adhering to current and upcoming regulatory requirements. Ensure implementation of these standards in particular through review and pre-approval of validation reports. Present and defend work in internal committees. Pro-actively engage in management of Model Risk to assure Model Risk requirements. Additionally, support, coach and guide new and established team members and closely engage with stakeholders from Risk, Finance, IT and Business. Your skills and experience Masters in Statistics / Mathematics / Quantitative Economics / Quantitative Finance or MBA Finance Professional experience 2-7 yrs in quantitative Credit risk model development or validation is a requirement Perennial professional experience in financial risk management in general with a strong IT affinity Extensive knowledge with relevant statistical and other software packages and programming languages (e.g. SAS, R, SQL, Python) Pronounced conceptual and analytical skills and excellent project management Proven ability to solve problems independently, to show flexibility and to act proactively Business fluent written and verbal skills in English How well support you

: Job TitleModel Validation Lead- Derivative Pricing Corporate TitleVP LocationMumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policies The Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders includingFront Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers. Your skills and experience Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in Python an advantage. Excellent communication skills both written and oral. Education/Qualifications Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: In Scope of Position based Promotions (INTERNAL only) Job Title Model Validation Specialist Associate Location Mumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Supporting bank-wide Model Risk-related policies. This role spans all aspects of validation applicable to the portfolio of estimation approaches within the Deutsche Bank Combined US Operations (CUSO) across all relevant business units and risk types. What well offer you : 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities The core responsibility will be to validate IB Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important for incumbent to grasp and understand Investment Banking side of the banks business. However, the role might necessitate model validator to be flexible in moving around different risk areas within US model validation team outside of core area of responsibility. Key tasks include, but not limited to model performance testing, scenario analysis, sensitivity analysis, and conceptual assessment of model assumptions/limitations/weaknesses. Developing challenger models including independent data collection and by performing complex analysis and testing. Follow regulatory guidelines and the Banks policies and procedures for model risk management, especially CCAR-specific guidelines. Bringing efficiency by automating processes and uplifting frameworks. Your skills and experience 3-6 years of professional experience in model development/ validation or related areas. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous. Candidate needs to have decent knowledge about financial products and the associated risk factors. Candidate needs to have above average report drafting skills and should be able to independently compile model validation reports, follow-through on mitigation of validation findings, and documentation thereof. Very strong data management and analysis skills with experience in relevant software packages, e.g., R and Python. Good presentation & communication skills Candidates with Mathematics/Statistics/Economics/Engineering/ MBA or allied background holding Graduate/Post-Graduate degrees are preferred. CFA / FRM certification will be a plus for the role. How well support you . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: Job Title Portfolio Models and Alpha Model Validation Specialist, Associate LocationMumbai, India Role Description Model Risk Management (MoRM) is responsible for holistic management of model risk. This includes the independent validation of internal models as well as the identification and the monitoring and controlling of model risk. Within MoRM, the Portfolio Models and Alpha validation team is responsible for the validation of all portfolio models developed for Credit Risk (including validation of the Alpha factor designed to capture wrong way risk in derivatives transactions), Business Risk, Operational Risk and Risk Type Diversification. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Independent validation of models and model changes Performance of quantitative analyses including presentation to relevant committees as well as internal and external auditors Enhancement of existing validation concepts Ensure adherence to model risk standards like SR11-07 Your skills and experience Academic degree in Mathematics, Statistics, Physics, Econometrics or similar discipline Ability to explain mathematical concepts and results in layman's terms Professional experience 2-7 yrs in Operational risk and Portfolio Risk model development or validation are a requirement Excellent mathematical abilities and an understanding of Linear Algebra, Calculus, Partial Differential Equations, Monte-Carlo Methods, Historical Simulation Methods, finite difference methods and numerical algorithms, statistics, or mathematical finance. Proficient use of programming languages (Python, Matlab, R, C++,) as well as experience in Machine Learning IT affinity; proficient user of MS Office Proficiency and experience in data analysis and evaluation and understanding of IT processes Very good knowledge of Monte Carlos methods and modeling/validation of portfolio models Experience in risk management is beneficial Business fluent written and verbal skills in English, German language skills are beneficial How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: Job TitleTreasury Model Validation Specialist Corporate TitleAssistant Vice President LocationMumbai, India Role Description Model Risk Management (MoRM) is responsible for the management of model risk in DB Group. This includes the independent validation of risk models as well as the identification, monitoring & controlling of model risk. Our aim is to identify, aggregate, manage and mitigate model risk across all risk types (market, credit, liquidity, operational and business risk). MoRM is located in Frankfurt, London, New York, Berlin, Bonn and Mumbai. For our team Treasury Model Validation, being responsible for the validation of all models owned by Deutsche Bank Treasury and legal entities like BHW, which includes IRRBB (Interest Rate Risk in the Banking Book) and liquidity risk models, we are looking for a model validation specialist located in Mumbai. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Challenge, analyse, test, and independently validate mathematical and statistical risk models used by DB Treasury (mainly interest rate risk and liquidity models). Design and implementation of challenger models. Creation of validation reports and communication of validation results in various fora. Collaborating in the development and maintenance of an internal Python library to improve the efficiency of testing and documentation. Engaging with the due diligence aspects of the New Product Approval Process, and oversight of model governance for Treasury products. Your skills and experience Graduate degree in mathematics or mathematical finance, statistics, physics, or a comparable education or equivalent qualification (PhD or equivalent is not required but would be beneficial). At least 3 years of experience for AVP in model validation, other quantitative risk management role or Front Office quantitative discipline or experience in academic research. Strong understanding in financial markets (especially of risk management models, methodologies, and regulations for banking book), demonstrated by qualifications and experience. Prior experience with Interest Rate Risk / Liquidity risk will be very useful. Strong analytical skills & proven ability to structure and solve problems independently. Experience with programming languages and using related tools (e.g. Python, LaTeX). The ability to explain complex mathematical concepts and results to stakeholders. Self-motivated and solution-oriented team player. Excellent written and verbal skills in English. How well support you . . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: In Scope of Position based Promotions (INTERNAL only) Job Title: MoRM Risk and Capital, Associate LocationMumbai, India Role Description Model Risk Management (MoRM) is responsible for holistic management of model risk. This includes the independent validation of internal models as well as the identification and the monitoring and controlling of model risk. Within MoRM, the Portfolio Models and Alpha validation team is responsible for the validation of all portfolio models developed for Credit Risk (including validation of the Alpha factor designed to capture wrong way risk in derivatives transactions), Business Risk, Operational Risk and Risk Type Diversification. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Self-contained validation of business and infrastructure models with main focus on AFC models and discussion of validation results with involved stakeholders Analyze the underlying mathematical methods, verify adequacy of models and their implementation. Serve as contact person regarding all methodology aspects of covered models Preparation of impact studies and presentations in relevant governance committees Review and assessment of analyses and changes done by developers to close existing validation issues Presentation of validation results to external supervisors Assess and actively manage the model risk of the relevant models by e.g. ensuring adherence to model documentation standards Your skills and experience Academic degree in Mathematics, Statistics, Physics, Econometrics or similar discipline Ability to explain mathematical concepts and results in layman's terms Professional experience 2 - 4 yrs in Credit risk and Anti-Financial-Crime Risk model development or validation are a requirement Proficient use of programming languages (Python, SAS, R, SQL) as well as experience in Machine Learning IT affinity; proficient user of MS Office Proficiency and experience in data analysis and evaluation and understanding of IT processes Very good knowledge of Monte Carlos methods and modeling/validation of portfolio models Experience in risk management is beneficial Business fluent written and verbal skills in English, German language skills are beneficial How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: Job TitleSenior Risk Manager - Model Validation (AI/ML Models) Corporate TitleVP LocationMumbai, India Role Description DWS Group (DWS) is one of the world's leading asset managers with EUR 841bn of assets under management (as of 31 March 2023). Building on more than 60 years of experience, it has a reputation for excellence in Germany, Europe, the Americas and Asia. DWS is recognised by clients globally as a trusted source for integrated investment solutions, stability and innovation across a full spectrum of investment disciplines. We offer individuals and institutions access to our strong investment capabilities across all major asset classes and solutions aligned to growth trends. Our diverse expertise in Active, Passive and Alternatives asset management as well as our deep environmental, social and governance focus complement each other when creating targeted solutions for our clients. Our expertise and on-the-ground-knowledge of our economists, research analysts and investment professionals are brought together in one consistent global CIO View, which guides our investment approach strategically. The Risk platform is the independent risk oversight function of DWS. Model Risk is part of the Risk function and is designed to provide governance and control to manage a variety of models used in the Firm and associated risks. The Model Risk team works as a global organization with team members in New York, London and Frankfurt with a focus around validating, testing and overseeing the usage of models related to Corporate Risk (liquidity/economic capital) and Investment Risk for Liquid and Illiquid investment strategies. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Leading the delivery of the validation Book of Work for all Artificial Intelligence (AI) and Machine Learning (ML) models across the organization Conducting model validations on the DWS models, both in-house and vendor models, based on regulatory guidance, internal policy and procedures and best industry practice and communicate findings and recommendations to model owners and prepare the model validation reports Working closely with Investment teams on topics including model assumptions and limitations to ensure models remain fit for purpose Participating in independent model reviews on complex topics in accordance with business needs and regulatory requirements Review ongoing model monitoring reports, identify potential model risk and document the findings to key stakeholders while evaluating the corrective actions Assist in building benchmark models used across the model validation team, design backtesting or other methodologies to test the conceptual soundness of model assumptions We are looking for: Proven experience in the field of Quantitative Risk Management associated to AI and ML Experience of AI and ML model development from across the Investments, Consulting or Banking industry with an understanding of concepts associated to validating or developing risk models Strong quantitative skills utilising at least one of Python or C++ Good understanding of valuation methods, capital markets, portfolio theory and risk management Excellent verbal and written communications skills -- previous experience of writing either technical documentation related to model validation or development or independent peer-reviewed research articles Educated to post-graduate degree level in a quantitative field such physics, mathematics, statistics, economics or engineering, or with relevant industry experience / professional qualification How well support you . . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm

Role: Quant Developer Department: Development The Quantitative Development team works directly with quantitative researchers to design, implement, deploy and use software for research and trading. As part of the technology team, the team follows modern software development principles and works with peers in technology to mature and evolve these tools for wider use. Quantitative developers drive cross-team initiatives with technologists and quantitative researchers across all asset classes to achieve objectives. Position Overview: Work with quantitative researchers to design and build efficient and scalable workflows for research and trading Collaborate closely with team members and peers in technology to ensure global consistency and maximize re-use of software components Assume strong ownership of projects throughout their full engineering lifecycle Provide level 2 support for critical components Required qualifications: Degree in applied math, physics, engineering, quantitative finance, computer science 4 or more years experience with Python, C++, or KDB+/q Knowledge of finance, data storage, processing and analysis Experience with modern software development: version control, agile development Excellent technical communication skills Nice to have: Advanced quantitative skills Experience with requirements analysis and designing software solutions Experience with continuous integration (CI), logging and monitoring systems Database experience

Job Title - S&C Global Network - AI - CFO & EV - Treasury & EPM Analytics Senior Analyst Management Level: 10-Senior Analyst Must-have skills: Treasury Analytics Good to have skills: Experience in financial modeling, valuation techniques, and deal structuring. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Whats In It for You Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What You Would Do in This Role Engagement Execution Lead client engagements encompassing model development, validation, governance, strategy, transformation, and end-to-end delivery of EPM, Treasury & Tax for Accentures clients. Advise clients on various EPM, Treasury & Tax initiatives, including advisory work for CXOs to achieve diverse business and operational outcomes. Develop and present Proof of Concept for key clients, where applicable. Practice Enablement Mentor, coach, and guide analysts and consultants. Drive innovations and initiatives to enhance the Practice. Develop thought leadership and disseminate information on emerging trends in EPM, Treasury & Tax. Support sales team efforts by assisting with RFPs, RFI, designing POVs, and GTM collateral. Professional & Technical Skills: - Relevant experience in the required domain.- Strong analytical, problem-solving, and communication skills.- Ability to work in a fast-paced, dynamic environment. Good experience with data, analytics, and AI technologies & tools, with a data-native mindset and a deep understanding of statistics for business applications. Must have functional expertise in treasury management including cash forecasting, Liquidity and Investment Management, Tax Analysis, Risk Management, Cash Management, Foreign Exchange (FX) Management, Debt Management, Treasury Operations, Financial Compliance, Interest Rate Management, Treasury Policies, Financial Strategy. Must have functional expertise in Enterprise Performance Management including cash forecasting, Liquidity and Investment Management, Tax Analysis, Risk Management, Cash Management, Foreign Exchange (FX) Management, Debt Management, Treasury Operations, Financial Compliance, Interest Rate Management, Treasury Policies, Financial Strategy. Must have led teams, driven interactions with senior stakeholders, designed AI-led transformation solutions, overseen program delivery, and value realization. Must be part of prior solutioning and proposal deals. Good to have hands-on experience in building and deployment of AI/ML/Statistical Models -- Statistical Algorithms, Segmentation and Predictive Modeling, ML algorithms, CV / NLP algorithms, Decision Trees, LLM based solutions etc. Good to have experience in multiple industries. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. Qualification Experience: 5 to 8 Years Educational Qualification: BE Btech

Description We are seeking a highly skilled and motivated AI Engineer with expertise in Python and AI frameworks to join our dynamic team. The ideal candidate should have more than 5 years of IT experience, with at least 3 years of specific experience working with AI platforms and Python. As AI Engineer, you will play a crucial role in developing and implementing innovative solutions that leverage AI/ML platform to extract valuable insights from complex data sets. Your work will contribute to enhancing our data-driven decision-making processes and advancing our products and services. Responsibilities: Partner with stakeholders to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform. Develop and implement state of the art AI techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt engineering, AI agents, ML model training , and optimizing model performance for real-world deployment to maximize business impact. Forge and manage relationships with our customers leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow. Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI . Serve as the voice of our business stakeholders for new AI paradigms, data science workflows, and share customer feedback to product teams Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI. Qualifications 5 years of customer-facing experience in the design and implementation of AI/ML solutions. Proficient in Python. Expertise in AI frameworks and libraries, such as scikit-learn, PyTorch , Hugging Face Transformers, LangChain , and OpenAI APIs. Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement. Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. Ability to work in a fast-paced environment and balance priorities across multiple projects at once. B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience. Job Information Technology Primary Location India-Karnataka-Bengaluru Schedule: Full-time Travel: No Req ID: 251422

Role Purpose Anaplan, Anaplan Model Builder, Integrations and SQL Do 3+ years of Model development and business process architecting using EPM tools Strong expertise and deep understanding of multi-dimensional modeling Basic to intermediate knowledge of SQL Expert skills of Excel spreadsheet modeling, macros, pivot tables, formulas, charts etc. Strong understanding of data integration Self-motivated and ability to manage timelines across multiple projects. Strong interest in structured finance preferred. Deliver excellent customer service through effective diagnosis and troubleshooting of client queries Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Assist clients with navigating around product menus and facilitate better understanding of product features Troubleshoot all client queries in a user-friendly, courteous and professional manner Maintain logs and records of all customer queries as per the standard procedures and guidelines Accurately process and record all incoming call and email using the designated tracking software Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract /SLAs Build capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Partner with team leaders to brainstorm and identify training themes and learning issues to better serve the client Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback2Self- ManagementProductivity, efficiency, absenteeism, Training Hours, No of technical training completed

Role & responsibilities Develop, support, and enhance statistical models to predict the risk of credit downgrade and default. Apply expertise in Fixed Income / Credit Risk, including Probability of Default (PD), Loss Given Default (LGD), and other credit risk measures. Analyse and interpret financial instruments, derivatives, and portfolio management principles to improve risk assessment. Utilize Python, SQL, and Excel to work on large datasets, extract insights, and automate data processing workflows. Develop automated processes and tools to improve efficiency and accuracy in data production and risk modelling. Lead Bottom-Up Data Production processes, ensuring effective planning, monitoring, and timely completion of deliverables. Collaborate with key stakeholders including Deal Teams, Execution, Technology, and Risk Reporting to enhance the Quant Credit Infrastructure. Utilize SQL to extract and manipulate data from large-scale databases, ensuring data integrity and accuracy. Manage and optimize project workflows using Asana/JIRA and other project management tools. Preferred candidate profile 5+ years of experience in a project/process management team within the finance domain. Strong knowledge of corporate accounting concepts and financial reporting. Solid understanding of credit risk concepts and downgrade risk assessment. Advanced proficiency in Microsoft Office (Excel, PowerPoint); VBA is a plus. Proven ability to implement Spreading Policy in corporate financials, particularly in SIP and Direct Lending. Strong organizational and analytical problem-solving skills. High attention to detail and persistence in ensuring data quality. Ability to work autonomously with minimal supervision. Intermediate/Advanced SQL skills for database management and data extraction. Python proficiency for automation and model development. Experience in project management tools like Asana, JIRA. Strong academic background with a business-related degree (MBA preferred) CFA certification is a plus.

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Team Overview: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Targets Supply Chain e.g., identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, digital order fulfillment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfillment network. Position Overview: As aSenior Data Scientist at Target, you will get an opportunity design,develop, deploy, and maintain data science models and tools. Youll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. Youll also collaborate with engineers and data scientists onpeerteams to buildand productionizefulfillment solutions for our supply chain/logistics needs. Develop a strong understanding of business/ operational processes within Targets supply chain. Develop an in-depth understanding of the various systems and processes that influence digital order fulfillment speed & costs. Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact. Analyze large datasets for insights leading to business process improvements or solution development. Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. About You: Must Have: We are looking for candidates who combine rigorous machine learning skills with a decent grasp of optimization and applied math. You should have: Bachelors/Masters/PhD in Computer Science, Mathematics, Statistics, Operations Research, or a related quantitative discipline. 4+ years of experience working across ML and optimization domains , ideally in dynamic, real-world problem spaces. Strong coding skills in Python and experience working with Spark or distributed data frameworks. Hands-on experience with ML modeling pipelines , from data ingestion and feature engineering to model development, evaluation, and deployment. Knowledge of OR techniques (e.g., LP/MIP) and how to integrate them with ML systems. Strong problem-solving skills with a track record of delivering solutions to complex, ambiguous business problems. Ability to independently own and drive projects end-to-end in a collaborative environment. Excellent communication skillsboth technical and strategicacross engineering and business teams. Preferred Experience: Experience with MLOps frameworks and practices (e.g., model versioning, CI/CD for ML, monitoring). Exposure to supply chain, logistics, or fulfillment optimization problems. Experience working in a production-scale environment with high data volume and business-critical pipelines. Ability to build solution/ models that operate at low latency. Know More here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII: At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid overview: A role with Target Techs Data Science team means the chance to develop and manage state of the art machine learning algorithms that use data at scale to automate and optimize decisions. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Stores, Supply Chain Optimization, and Network Planning rely on. Every Scientist on Targets Data Sciences team can expect modelling and data science, software/product development of highly performant code for performance, and to elevate Targets culture and apply retail domain knowledge. Team Overview: Our Stores Data Science team oversees the development of state-of-the-art mathematical techniques to solve key problems for Targets Stores, such as identifying optimal tasks prioritizing work and sequence work for our teams to meet the dynamic guest demands. The team leverage machine learning, operations research and simulation to help design the future of how our stores work. Position Overview: As aLead Data Scientist, youll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scope of your role by defining solutions and beginning to identify problems to solve. You will contribute to Data Sciences and Targets culture by modeling and contributing to the ways we work. There are several ways to use your expertise in one or more of the following areasmachine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, and machine learning. We will look to you to own design and implementation of an algorithmic solution (e.g., predictions, optimization or simulations), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment. Youll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. Youll evaluate trade-offs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. Youll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the teams products/models. Youll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, youll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. Well look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your teams work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, youll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retailIts always changing! Core responsibilities of this job are described within this job description.Job duties may change at any time due to business needs. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 6+ years of professional experience or equivalent industry experience Masters degree in Quantitative disciplines (Science, Operations Research, Technology, Engineering, Mathematics) Good knowledge and experience developing optimization, simulation, and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging