9 Econometric Modeling Jobs

Role Responsibilities: Analyze global macroeconomic developments and central bank policies Build and maintain models for forecasting economic indicators and market trends Collaborate with front office and tech teams on trading-related models Maintain dashboards and monitor economic/financial market data Job Requirements: Master's/PhD in Economics or related field with 26 years of experience Strong econometric and empirical modeling skills Proficiency in Python or EViews Familiarity with Bloomberg/Haver preferred

Role Responsibilities: Analyze global macroeconomic developments and central bank policies Build and maintain models for forecasting economic indicators and market trends Collaborate with front office and tech teams on trading-related models Maintain dashboards and monitor economic/financial market data Job Requirements: Master's/PhD in Economics or related field with 26 years of experience Strong econometric and empirical modeling skills Proficiency in Python or EViews Familiarity with Bloomberg/Haver preferred

Role Responsibilities: Analyze global macroeconomic developments and central bank policies Build and maintain models for forecasting economic indicators and market trends Collaborate with front office and tech teams on trading-related models Maintain dashboards and monitor economic/financial market data Job Requirements: Master's/PhD in Economics or related field with 26 years of experience Strong econometric and empirical modeling skills Proficiency in Python or EViews Familiarity with Bloomberg/Haver preferred

As an integral part of Citi Cards" success, strong and effective Risk Management is crucial for serving customers while safeguarding Citis interests. The NA Cards Risk Management division consists of highly qualified professionals located globally. The role within the Credit Loss / Loan Loss Reserve Forecasting and Stress Testing team involves managing the net credit loss and loan loss reserve forecast on a portfolio exceeding $200 billion. This includes collaborating with the Finance teams to develop forecasts for credit losses and loan loss reserves under different macro-economic and business conditions. Specifically focusing on NA Cards and Personal Installment Loan (PIL) Credit Loss / Loan Loss Reserve Forecasting and Stress Testing, the individual will also be involved in Comprehensive Capital Analysis & Review (CCAR/DFAST) for specific sub-portfolios. The individual in this position is expected to demonstrate strong leadership skills and leverage technical and business acumen to deliver high-quality results. Collaboration with various departments such as Modeling, Finance, Risk Policy, Governance, Global CCAR office, and External Auditors is essential. Key responsibilities include executing quarterly loss / loan loss reserve forecasting and stress testing processes for NA Cards portfolios, cross-functional collaboration on analytics, reviewing and challenging existing models, understanding reserves calculation, partnering with Finance team, creating presentations, establishing standardized documentation, coordinating with Global CCAR Office, driving process efficiencies through automation, and managing information controls. Qualifications for the role include a Bachelors degree in a quantitative discipline, 8+ years of work experience in financial services or management consulting, strong understanding of risk management, knowledge of credit card industry and regulatory activities, hands-on experience with forecasting models, proficiency in analytical packages and MS Office, ability to provide innovative solutions, and strong written and oral communication skills. Leadership competencies required for the position include driving changes to achieve business targets, interacting with senior executives, influencing management at all levels, developing partnerships, displaying flexibility, leading by example, appreciating diverse backgrounds, demonstrating strong ethics, building cross-functional relationships, and contributing to a positive work environment. Citi is an equal opportunity and affirmative action employer that values diversity and encourages qualified applicants to apply for career opportunities. If you require a reasonable accommodation due to a disability, you can review Accessibility at Citi.,

Company Description At Niogod, we specialize in transforming global hiring by streamlining access to top Indian tech talent. Our focus on efficiency, compliance, and scale ensures clients meet their ideal candidates within 72 hours. We offer rapid hiring solutions for data engineers and cloud analysts and provide flexible engagement models such as contracting, dedicated teams, and managed services. Trusted by over 50 companies, we reduce administrative overhead, provide real-time support, and offer a no-risk, 14-day money-back guarantee. Our vision includes expanding operations in Berlin, Amsterdam, and Stockholm by 2026 and into new sectors and markets by 2027. Role Description This is a full-time hybrid role for an Econometrician located in Bengaluru, with some work from home acceptable. The Econometrician will be responsible for developing econometric models, analyzing data, conducting statistical tests, preparing reports, and providing insights for decision-making. They will also collaborate with cross-functional teams to support business objectives and communicate findings to stakeholders. Qualifications Experience in econometric modeling, data analysis, and statistical testing Strong proficiency in statistical software such as R, SAS, or STATA Excellent analytical and problem-solving skills Ability to interpret complex data and present insights clearly Strong communication and collaboration skills Bachelor&aposs or Master&aposs degree in Economics, Statistics, or a related field Experience in the tech industry is a plus Ability to work independently and in a team environment Show more Show less

You will be joining our Analytics team as a Consultant or Senior Consultant with a focus on Marketing Mix Modeling (MMM). Your primary responsibility will involve leading projects to evaluate the impact of marketing and business activities on sales and ROI. By leveraging statistical and econometric methods, you will provide actionable insights, automate solutions, and facilitate strategic decision-making across various industries. Your key responsibilities will include managing client data processing and project delivery for MMM engagements, utilizing econometric modeling techniques to evaluate marketing campaigns, interpreting complex data to derive business recommendations, delivering findings through client-tailored presentations, collaborating with cross-functional teams, conducting R&D for modeling enhancement, automating tasks using tools like VBA, R, or Python, contributing to advanced analytical frameworks and models, and ensuring consistency in project deliverables. The ideal candidate will possess a graduate degree in Economics, Business, Statistics, Mathematics, Operations Research, Industrial Engineering, Quantitative Analysis, or a related field, with 2-4 years of relevant experience in Marketing Mix Modeling. Proficiency in econometric modeling, statistical analysis, programming languages (R, Python, SAS), Excel, PowerPoint, automation tools, and excellent communication skills are essential. Additionally, strong project management capabilities, problem-solving skills, a proactive attitude, and the ability to work independently and collaboratively are required. Exposure to other analytics domains such as pricing, forecasting, or customer analytics would be advantageous.,

Job Summary: We are seeking a highly analytical and experienced Consultant and Senior Consultant to join our Analytics team, specializing in Marketing Mix Modeling (MMM) . In this role, you will lead projects that quantify the impact of marketing and business activities on key performance metrics such as sales and ROI. You will apply statistical and econometric methods to deliver actionable insights, automate solutions, and support strategic decision-making across a variety of industries. Key Responsibilities: Lead and manage day-to-day client data processing and project delivery in MMM engagements. Apply econometric modeling techniques to assess the effectiveness of marketing and promotional campaigns. Interpret complex data and analytical results to generate actionable business recommendations. Present findings through well-structured PowerPoint presentations tailored to client audiences. Collaborate with cross-functional teams, including data scientists, consultants, and clients. Perform R&D as needed to improve modeling accuracy or explore new techniques. Automate repetitive tasks and data workflows using tools like VBA, R, or Python. Support the development and implementation of advanced analytical frameworks and custom models. Ensure quality and consistency in deliverables across projects and industries. Desired Qualifications: Education: Graduate degree in Economics, Business, Statistics, Mathematics, Operations Research, Industrial Engineering, Quantitative Analysis, or a related field (M.Sc. or MBA preferred). Experience: Approximately 2-4 years of relevant experience, including hands-on work in Marketing Mix Modeling. Strong understanding of econometric modeling and statistical analysis. Proficiency in programming languages such as R, Python, or SAS . Advanced skills in Excel (macros, pivot tables, complex formulas) and PowerPoint . Experience with automation tools (VBA/R/Python) to streamline processes. Exceptional verbal and written communication skills. Strong project management, problem-solving ability, and a proactive, can-do attitude. Ability to work independently as well as in a team-oriented environment. Exposure to other analytics domains (e.g., pricing, forecasting, customer analytics) is a plus. Show more Show less

You will be joining our Data & AI practice as an Individual Contributor and Functional AI Decision Science Consultant at Level 9, with the opportunity to work in Gurgaon, Bangalore, Mumbai, or Hyderabad. As part of a global team of skilled professionals, you will utilize cutting-edge statistical tools and methodologies to deliver data-driven insights and solutions for our clients. Your primary responsibilities will include defining data requirements for Data Driven Growth Analytics, analyzing and interpreting data, and ensuring data quality. You will work on market sizing, lift ratio estimation, non-linear optimization techniques, statistical timeseries models, store clustering algorithms, and descriptive analytics to support merchandising AI capabilities. Additionally, you will develop AI/ML models using Azure ML tech stack, manage data pipelines, and leverage cloud platforms for deploying and scaling machine learning models. In this role, you will also be expected to manage client relationships, effectively communicate insights and recommendations, and contribute to capability building and thought leadership within the team. Your logical thinking and task management skills will be crucial to analyze data systematically and prioritize tasks efficiently. To be successful in this position, you should have a minimum of 4+ years of experience in Marketing analytics and 3+ years of experience in Data Driven Merchandizing. Proficiency in econometric/statistical modeling, Azure ML, SQL, R, Python, and PySpark is essential, along with a strong understanding of marketing data and business processes in the Retail and CPG industries. A Bachelor's or Master's degree in Statistics, Economics, Mathematics, Computer Science, or related fields is required, along with excellent academic credentials. Additionally, knowledge of tools like Excel, Word, and PowerPoint for communication and documentation will be beneficial in this role. If you are seeking a challenging opportunity to work with a dynamic team of professionals and make a significant impact in the field of Data & AI, we invite you to apply and join our team at Accenture.,

The Model/Anlys/Valid Analyst II role at Citi is a developing professional position where you will apply your specialty area knowledge to monitor, assess, analyze, and evaluate processes and data. You will be responsible for identifying policy gaps, formulating policies, interpreting data, making recommendations, and researching factual information. Additionally, you will identify inconsistencies in data, define business issues, and formulate recommendations on policies, procedures, or practices. It is crucial to integrate established disciplinary knowledge within your specialty area with a basic understanding of related industry practices. You will develop a working knowledge of industry practices and standards. In this role, you will have a limited but direct impact on the business through the quality of tasks and services you provide, with the impact restricted to your own team. Your responsibilities will include developing, enhancing, and validating methods of measuring and analyzing risk across all risk types. You may also be involved in developing, validating, and strategizing the use of scoring models and related policies. Additionally, you will lead projects related to model development, programming, integration, testing, and validation. Furthermore, you will provide analytical support on analysis and benchmarking, prepare regular and ad-hoc reports according to Risk Management Team priorities, participate in projects aimed at improving risk analytics, modeling, and validation systems, and work on the constant improvement of reporting systems and optimization of Credit MIS Reports. It is essential to appropriately assess risk when making business decisions, maintain compliance with applicable laws and regulations, and uphold ethical standards. To excel in this role, you should have demonstrated programming skills (SAS, SQL, R, etc.), knowledge of tools like VBA, basic understanding of secured/unsecured banking products and US banking, good communication skills, analytical capabilities to identify root causes and trends, proficiency in Microsoft Office, and at least 2 years of experience in model implementation/validation/development. A Bachelor's/University degree or equivalent experience is required. This position within Global Consumer Risk Management of Citi focuses on developing CCAR/DFAST stress loss models for secured portfolios such as Home Equity and Mortgage. Your core responsibilities will include obtaining and conducting QA/QC on data required for stress loss model development, developing segment and/or account level stress loss models, performing all necessary tests, validating and recalibrating models annually, delivering comprehensive model documentation, and collaborating with cross-functional teams. For this role, an advanced degree (Masters required or PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, or related fields is necessary. Strong programming skills (SAS, R, Matlab, etc.) and quantitative analytics expertise are essential, along with 2-4 years of analytic experience. Experience in quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and econometric modeling of consumer credit risk stress losses is preferred. You should possess good communication skills, work effectively with moderate supervision, and be able to work as an individual contributor. This role offers the opportunity to work on challenging projects in a dynamic and collaborative environment within the risk management field at Citi. If you require a reasonable accommodation to use our search tools or apply for a career opportunity due to a disability, please review Accessibility at Citi. You can also refer to Citi's EEO Policy Statement and the Know Your Rights poster for more information.,