358 Econometrics Jobs - Page 4

About us: 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 hasn t 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 Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. As a Data Analyst for Target s Merch Data Analytics team you ll: A role with Data Analytics (DA) means being a part of the team that work in support of business teams, leveraging business area knowledge, business intelligence capabilities and analytical methods to deliver key insights and technology solutions that drive company business strategies. This cover developing innovative business insights through robust statistical and analytical methods. The emphasis will be on ability to synthesize and communicate actionable insights and analysis recommendations to enable fact-based business decision-making, which is possible through a combination of technical skills and business understanding. / About You: ExperienceOverall 2-6 years exp and relevant 1-3 years exp Qualification: TI B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1.Hands on experience to Structured Query Language (SQL) syntax, including joins, volatile tables, and basic query tuning. And deep understanding of core DW/BI concepts. 2. Experience in at least 1 BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools. 3. Working knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS) 4. Exposure to R, Python, Hive or other open-source languages/database 5. Understanding of analytical techniques (like Regression, Time-series models, Classification Techniques, etc.) to discover and measure key business drivers 6. Git source code management & experience working in an agile environment 7. Problem solving skills 8. Self-motivated and able to work in team settings in a fast-paced environment 9. Competent and curious to ask questions and learn to fill gaps 10. Good communication 11. Experience with Retail, Merchandising, Marketing will be strong addons About you: Four-year degree or equivalent experience Excellent verbal and written communication skills Demonstrated guest service, interpersonal, and follow-up skills Ability to manage multiple tasks with effective organizational skills Proven problem solving, critical thinking, and decision-making skills Flexible, team player who learns quickly while adapting to evolving technology and processes Ability to learn and navigate numerous, unique systems; proficiency with MS Office Package Useful Links- 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

Who is ERM? ERM is a leading global sustainability consulting firm, committed for nearly 50 years to helping organizations navigate complex environmental, social, and governance (ESG) challenges. We bring together a diverse and inclusive community of experts across regions and disciplines, providing a truly multicultural environment that fosters collaboration, professional growth, and meaningful global exposure. As a people-first organization, ERM values well-being, career development, and the power of collective expertise to drive sustainable impact for our clients—and the planet. Introducing our new Global Delivery Centre (GDC) Our Global Delivery Centre (GDC) in India is a unified platform designed to deliver high-value services and solutions to ERM’s global clientele. By centralizing key business and consulting functions, we streamline operations, optimize service delivery, and enable our teams to focus on what matters most—advising clients on sustainability challenges with agility and innovation. Through the GDC, you will collaborate with international teams, leverage emerging technologies, and further enhance ERM’s commitment to excellence—amplifying our shared mission to make a lasting, positive impact. Job Objective ERM is seeking a Modelling & Data Analyst to develop algorithms, financial models, and analytical tools that link non-financial ESG data with financial outcomes. This role is ideal for a professional with a strong quantitative background, proficient in statistical modelling, machine learning, and financial analysis. The candidate will work on transforming sustainability materiality and maturity frameworks into automated, scalable models that assess performance and valuation impacts. This is a non-client-facing offshore role focused on data-driven ESG research and tool development. The Ideal Candidate You bring a robust background in financial modelling and valuation with a deep passion for sustainability (e.g. climate, nature, employees wellbeing, sustainable revenue). You have demonstrated success in integrating ESG factors into transaction analysis and investment decision-making. With experience in investment banking, strategy consulting, or transaction advisory—and preferably exposure to private equity—you are adept at turning complex and qualitative ESG concepts into actionable financial insights. You will be able to communicate with senior stakeholders and provide thought leader in this evolving space. RESPONSIBILITIES: Quantitative Research & Algorithm Development Design data-driven models that quantify the impact of ESG factors on financial performance. Develop statistical algorithms that integrate materiality and maturity definitions into predictive financial models. Leverage machine learning techniques (e.g., regression analysis, clustering, time-series forecasting) to identify trends in ESG data. Data Analysis & Model Development Build automated financial modelling tools that incorporate non-financial (ESG) data and financial metrics. Develop custom ESG performance indicators that can be used in due diligence, exit readiness, and investment decision-making. Standardize ESG data inputs and apply weightings/scoring methodologies to determine financial relevance. Tool Development & Automation Work with developers to code ESG models into dashboards or automated financial tools. Implement AI/ML techniques to enhance model predictive capabilities. Ensure models are scalable and adaptable across multiple industries and investment types. Data Management & Validation Collect, clean, and structure large datasets from financial reports, ESG databases, and regulatory filings. Conduct sensitivity analyses to validate model accuracy and effectiveness. Ensure consistency in ESG metrics and definitions across all analytical frameworks. REQUIRED SKILLS & EXPERIENCE: Educational Background Master’s in Finance, Econometrics, Data Science, Quantitative Economics, Mathematics, Statistics, or a related field. CFA, FRM, or other financial analysis certifications are a plus. Technical & Analytical Proficiency Financial & Statistical Modelling: Advanced Excel, Python, R, or MATLAB for quantitative research and financial modelling. Machine Learning & AI: Proficiency in ML algorithms for forecasting, clustering, and risk modelling. Data Analysis & Automation: Experience with SQL, Power BI, or other data visualization tools. ESG & Financial Integration: Understanding of ESG materiality frameworks (SASB, MSCI, S&P, etc.) and their impact on valuations. Professional Experience Minimum 3-5 years in quantitative research, financial modelling, or ESG data analysis. Experience in building proprietary financial tools/models for investment firms or financial consultancies. Strong background in factor modelling, risk assessment, and alternative data analysis. Personal Attributes Highly analytical, structured thinker with attention to detail. Ability to work independently in an offshore role, managing multiple datasets and models. Passion for quantifying ESG impact in financial terms. Show more Show less

Job Description Internal Audit : What We Do As The Third Line Of Defense, Internal Audit’s Mission Is To Independently Assess The Firm’s Internal Control Structure, Including The Firm’s Governance Processes And Controls, And Risk Management And Capital And Anti-financial Crime Frameworks, Raise Awareness Of Control Risk And Monitor The Implementation Of Management’s Control Measures. In Doing So, Internal Audit Communicates and reports on the effectiveness of the firm’s governance, risk management and controls that mitigate current and evolving risk Raise awareness of control risk Assesses the firm’s control culture and conduct risks; and Monitors management’s implementation of control measures Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including financial risk managers, chartered accountants, business managers, developers, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm’s businesses and functions, including global markets, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, model risk and engineering. Internal Audit Model Risk The objective of Internal Audit Model Risk team is to assess the robustness of the firm’s model risk management framework, including the governance processes and associated controls related to model development and model validation activities. The team, which is a group of quantitative experts, is also charged with reviewing complex financial models utilized by the Firm as part of various audits with the objective to assess the robustness of the firm’s model risk management framework. The diverse array of model types which the team reviews include models used for valuation of financial products, risk management, capital calculation, compliance, algorithmic trading, investment management and machine-learning models. Job Description As a member of Internal Audit Model Risk team, the individual will be responsible for execution of audits related to model risk management through effective time management, in accordance with the internal audit methodology of the department. The team member will assist the project manager in executing the scope of the audit through walkthroughs and discussions with various modeling and model validation teams and discuss results of the audit with the firm’s local and global management. Specifically, Develop and maintain an in-depth technical knowledge of modeling – both theory and coding Critically review models including their conceptual soundness, documentation, code implementation accuracy and independent validation Conduct meetings with stakeholders including modelers and model validators Execute risk-focused audits of modeling and model risk management Engage in continuous monitoring of modeling and model risk areas Communicating modeling problems and issues to senior management Basic Qualification Advanced Degree (preferably Masters) in a quantitative discipline (Math, Statistics, Economics, Physics, Engineering, Computer science) 2-5 years’ experience in model development, independent model validation or model risk audit Model risk management knowledge, including model risk governance, model development, implementation, testing and change management, model validation Team-oriented with a strong sense of ownership and accountability Strong leadership, interpersonal and relationship management skills Strong verbal and written communication skills and presentation skills (PowerPoint, Visio, etc.) Highly motivated with the ability to multi-task and remain organized in a fast-paced environment Preferred Qualifications Experience within the financial services industry is a plus. Knowledge of financial modeling concepts, including (any combination): ▪ Options pricing, credit default, structured products, econometrics, stress scenario creation ▪ Any combination of risk management disciplines: credit risk, market risk, operational risk, funding / liquidity risk Programming experience in quantitative and object Your Career Goldman Sachs is a meritocracy where you will be given all the tools to help you develop. At Goldman Sachs, you will have access to excellent training programs designed to improve multiple facets of your skills portfolio. Our in-house training program, ‘Goldman Sachs University’ offers a comprehensive series of courses that you will have access to as your career progresses. Goldman Sachs University has an impressive catalogue of courses which span technical, business and leadership skills training. About GS The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments, and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world. Show more Show less

CCB-Risk- Card Data Science & Capabilities- Associate JP Morgan Chase (NYSE JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the worlds most prominent corporate, institutional and government clients under its J. P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at http//www. jpmorganchase. com/ . Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment. Chase Consumer & Community Banking serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others. Join our Model Insights Team , a Center of Excellence within Consumer & Community Banking (CCB) Risk Modeling, committed to tracking of comprehensive health of machine learning models. We are responsible for sanity of model inputs and score performance tracking for CCB risk decision models. Team collaborates with model developers to identify and recommend potential opportunities for model calibration. We are constantly seeking for opportunities to enhance model performance tracking framework, with aim of providing feedback loop to risk strategies. We are seeking candidates who possess extensive knowledge of data science techniques, appreciation for data combined with of domain expertise, and a keen eye for detail and logic. It s an opportunity to make an impact to model performance monitoring and governance practices for CCB risk models. Job Responsibilities - Applied AI/ML Associate Drive synergy in model performance tracking across different sub-lines of business. Enhance model performance framework to holistically capture model health, providing actionable insights to model users. Collaborate with model developers to identify potential opportunities for model calibration and conduct preliminary Root Cause Analysis in case of model performance decay. Design and build robust framework to monitor quality of model inputs. Explore opportunities to drive efficiency in model inputs and performance tracking through use of Large Language Model (LLM). Partner with teams across, Risk, Technology, Data Governance, and Control to support effective model performance management and insights. Deliver regular updates on model health to senior leadership of risk organization and the first line of defense. Required qualifications, capabilities, and skills Advanced degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics, Physics, or a related quantitative field. Proficiency in programming languages such as Python, PySpark, and SQL, along with familiarity with cloud services like AWS SageMaker and Amazon EMR. Deep understanding of advanced machine learning algorithms (e. g. Decision Trees, Random Forest, XGBoost, Neural Networks, Clustering etc) Strong conceptual understanding of performance metrics used to monitor health of machine learning models. Fundamental understanding of the consumer lending business and risk management practices. Experience of working with large datasets with strong ability to analyze, interpret, and derive insights from data. Advanced problem-solving and analytical skills, with a keen attention to detail. Excellent communication skills, with the ability to convey complex information clearly and effectively to senior management. Preferred qualifications, capabilities, and skills 3+ years of experience in developing and managing predictive risk models in financial industry. Experience of data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). Proven expertise in designing, building, and deploying production-quality machine learning models. Ability to effectively collaborate with multiple stakeholders on projects of strategic importance, ensuring alignment and successful outcomes. Basic level of proficiency in Tableau

Location Name: Pune Corporate Office - HO Job Purpose “This position is open with Bajaj Finance ltd.” Duties And Responsibilities This role is for NLP and data-oriented product development (horizontal capability builds) but it will also require strong program management and execution skills. Technical Interactions with vendor or partners in technical capacity for business/capability deliverables. Develops proof of concept to prove or disprove validity of concept. Work with cross functional team to integrate these models into larger solutions. Works collaboratively in a multi-disciplinary team environment; Establishes and maintains professional networks with subject matter experts. Responsible for artificial intelligence / machine learning technology and application analysis, understand latest industrial and academic developments in AI/ML. Design competitive AI/ML services and user experience for next generation products and create prototypes for demonstration. Strong empowerment and self-drive is a must. Required Qualifications And Experience PhD/MTech/BE/ BTech/MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field 6+ years of industrial experience in analytics, predictive modeling, Machine learning, NLP, predictive analytics solution development and deployment Strong Problem-solving ability Should have strong experience in anyone or more programming languages Python or JAVA. Experience in RESTful, Web Services. Experience in using Python, R, SAS or any other statistical software (plus other open source libraries) skills with Shell/Perl (or similar scripting language), Scala and Java Experience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc. Experience with web application server like Tomcat, Jetty, JBoss etc. Strong understanding of OOP design patterns and industry best practices. Fair knowledge of scripting and working in Linux environment Good to have Experience of building Solutions with latest front-end technologies (JavaScript libraries like React or Angular, CSS3, HTML5). Hands-on experience of API Integration single-sign -on and token-based authentication. Experience integrating with SQL and NoSQL databases (Cosmos DB, Cassandra, MongoDB) Good understanding of DevOps pipeline like Azure Devops. Experience in Agile environment Experience in any of the following area could be plus: Lucene based search engines (Elasticsearch, Solr) Experience Container Orchestration technologies (Kubernetes), distributed systems, scalable data analytics technologies (Spark) Experience in mentoring junior team members, and guiding them on machine learning, NLP, Computer Vision, Speech analytics and data modeling applications Strong communication and data presentation skills Skills with Relational Databases, Data warehouses, Structured & Unstructured data forms. Publications /patents/presentation in recognized Machine Learning and Data Mining journals/conferences is preferred Solid knowledge in deep learning algorithms and AI system design and architecture. Strong hands-on nature (ability to self-code is a must). Strong capability to work on server class (cloud machines) for data science capability builds Strong IT & Business interactions capability Strong team player with exceptional program management. Show more Show less

Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive. This role is based in India and as such all normal working days must be carried out in India. Job Description Join us as a Desk Strategy Associate We’re looking for someone with an economics background to join our Trading & Flow Sales business You’ll be developing strategies to enhance trading or sales opportunities for the business This is a high profile role that offers considerable exposure as well as the opportunity to make a significant impact We're offering this role at associate level What you'll do This key role will see you building economic forecasting models and performing statistical analysis of economic data using time series techniques. As such, you’ll be analysing market related data, trends and events, and formulating trade ideas or investment opportunities. You’ll also be: Assisting with internal and external client requests Tracking macroeconomic data releases and drafting global economic insights for indicators Conducting macroeconomic indicator analysis for the relevant teams Ensuring customer satisfaction by delivering your work on time and to the highest quality Managing projects and initiatives to improve processes The skills you'll need To join us in this role, you’ll need to hold an MA in Economics or an MSc in Econometrics. You’ll have experience in a research oriented role across economies, together with the ability to summarise and analyse complex data and topics. In addition, you’ll bring: Working knowledge of databases such as REviews, Matlab and SAS Good communication and presentation skills Knowledge of databases such as Bloomberg, Haver and CEIC Expertise in Microsoft Office applications Show more Show less

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. We are looking for a seasoned Data Scientist – Manager to lead advanced analytics initiatives and drive data-driven decision-making across the organization. The ideal candidate combines deep expertise in statistical modeling, machine learning, and modern data science techniques with strong business acumen and leadership skills. The role involves solving complex problems, building scalable models, and integrating advanced AI solutions into business workflows. Key Responsibilities Data Science Leadership: Lead a team of data scientists and analysts in designing, developing, and deploying machine learning models and statistical algorithms. Mentor team members, promoting best practices in experimentation, coding, and model evaluation. Translate business problems into structured analytical solutions using robust quantitative methods. Model Development & AI Integration Develop predictive and prescriptive models using regression, tree-based methods (e.g., Random Forest), LSTM, and reinforcement learning techniques. Apply deep learning and large language models (LLMs) to extract insights from structured and unstructured data. Work closely with engineering teams to productionize models and embed them into digital products and services. Advanced Analytics & Statistical Inference Perform exploratory data analysis, sampling, and inferential testing to identify trends and actionable insights. Use econometric and time series techniques to forecast and evaluate impact, especially in economic or behavioral contexts. Apply PCA and other dimensionality reduction techniques to handle high-dimensional data. Cloud & Data Infrastructure Collaborate with data engineering teams to access and leverage data from cloud platforms (AWS, GCP, Databricks). Utilize SQL, R, and Python to extract, clean, and manipulate large datasets from relational (RDBMS) and NoSQL (e.g., MongoDB) databases. Stakeholder Engagement & Strategic Impact Partner with business stakeholders to define analytical objectives and communicate findings with clarity. Lead data science strategy and roadmap development to ensure alignment with organizational goals. Drive innovation by exploring and implementing state-of-the-art methods in AI and machine learning. Required Skills And Experience 8+ years of experience in data science, with deep proficiency in Python, SQL, and statistical modeling. Proven experience developing and deploying ML models, including deep learning and time series forecasting. Expertise in cloud platforms and data pipeline integration for scalable model delivery. Strong understanding of statistical inference, econometrics, and experimental design. Experience with LLMs and advanced language models is a plus. Excellent problem-solving, communication, and team leadership abilities. Qualifications Master’s or PhD in Data Science, Computer Science, Statistics, Economics, or a related field. Demonstrated ability to lead data science projects from concept to deployment. Strong track record of delivering impact through data science in complex business environments. Show more Show less

Join the data revolution! MasterCard Advisors is helping to shape the future of data insights by leveraging billions of anonymised, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively. Be part of an Analytics Center of Excellence that is developing consumer insights that are reshaping how businesses make decisions. Advanced Analytics is charged with servicing Consulting Services, Information Services and Managed Services by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization. Use broad retail, capital markets, media, and/or payments industry experience and deep knowledge of the application of big data quantitative analytics to provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base. Major Responsibilities: Rigorously and logically identify issues covering entire client problem to understand business objectives Generate key hypotheses and independently structures work at the stream or small project level Identify creative and useful additional analyses required and suggest new paradigms for recommendations Create effective, impactful and quality assured storylines and slides at stream or small project level Analyze large volumes of transaction and customer data to generate insights and actionable recommendations to drive business growth Synthesize analyses into clear, sound recommendations; takes responsibility for structuring and writing reports and client ready presentations from a work stream or project level. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Set the department standard for data driven insights and advanced analytics solutions using tools such as SAS, SQL and MS office suite Collect and synthesize feedback from clients, project delivery analysts, and sales teams for new solutions or product enhancements. Provide design specifications, functional and technical requirements for development of new products and solutions. Generates key hypotheses and independently structures work at the work stream or project level Build behavioral scorecards for target marketing and risk management solutions using econometric and statistical modeling techniques Create highly predictive models using segmentation and regression techniques to drive profits Reviews analytics end-products to ensure accuracy, quality and timeliness. Develops effective working relationships with global teams and business partners Proactively seeks new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Qualification and Skills Required: Advanced degree in Economics / Statistics / Mathematics or B.E. in a technical or quantitative discipline before M.B.A from Tier 1 Business Schools in India. Acumen of business analysis, segmentation and modeling, data mining using large volumes of granular data to deliver analytical solutions Excellent verbal and written communication skills Excellent analytical skills Ability to work on a team or independently Ability to multi-task in a fast-paced, deadline-driven environment Advanced Word, Excel and PowerPoint skills Attention to detail Platforms/Environments: SQL, Python, VBA, Tableau Languages: English required Additional languages desired

Join the data revolution! MasterCard Advisors is helping to shape the future of data insights by leveraging billions of anonymised, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively. Be part of an Analytics Center of Excellence that is developing consumer insights that are reshaping how businesses make decisions. Advanced Analytics is charged with servicing Consulting Services, Information Services and Managed Services by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization. Use broad retail, capital markets, media, and/or payments industry experience and deep knowledge of the application of big data quantitative analytics to provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base. Major Responsibilities: Rigorously and logically identify issues covering entire client problem to understand business objectives Generate key hypotheses and independently structures work at the stream or small project level Identify creative and useful additional analyses required and suggest new paradigms for recommendations Create effective, impactful and quality assured storylines and slides at stream or small project level Analyze large volumes of transaction and customer data to generate insights and actionable recommendations to drive business growth Synthesize analyses into clear, sound recommendations; takes responsibility for structuring and writing reports and client ready presentations from a work stream or project level. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Set the department standard for data driven insights and advanced analytics solutions using tools such as SAS, SQL and MS office suite Collect and synthesize feedback from clients, project delivery analysts, and sales teams for new solutions or product enhancements. Provide design specifications, functional and technical requirements for development of new products and solutions. Generates key hypotheses and independently structures work at the work stream or project level Build behavioral scorecards for target marketing and risk management solutions using econometric and statistical modeling techniques Create highly predictive models using segmentation and regression techniques to drive profits Reviews analytics end-products to ensure accuracy, quality and timeliness. Develops effective working relationships with global teams and business partners Proactively seeks new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Qualification and Skills Required: Advanced degree in Economics / Statistics / Mathematics or B.E. in a technical or quantitative discipline before M.B.A from Tier 1 Business Schools in India. Acumen of business analysis, segmentation and modeling, data mining using large volumes of granular data to deliver analytical solutions Excellent verbal and written communication skills Excellent analytical skills Ability to work on a team or independently Ability to multi-task in a fast-paced, deadline-driven environment Advanced Word, Excel and PowerPoint skills Attention to detail Platforms/Environments: SQL, Python, VBA, Tableau Languages: English required Additional languages desired

Designation: TM - Market Research/TL - Market Research Research Archetypes Responsibilities Business process outsourcing research/analysis Company due diligence Competitive intelligence and profiling Market-entry strategy (GTM) Industry research/analysis Technology research/analysis Gen AI, Automation and digitization research/analysis Deal Analysis BD Research Location Intelligence Relationship Mapping Business Research Automation This role will be part of a team that is focused on creating high-value, actionable research output that works towards growing Cognizant IOA (BPS). In addition, the Associate will manage/mentor other research analysts and interact directly with BU leadership as required and appropriate. Shape The Future With Your Research Expertise Are you a highly motivated research leader with a passion for uncovering insights and driving strategic decisions? We are looking for a seasoned Research Professional with a strong academic foundation and proven industry experience to make a significant impact on our organization. Your Impact As a key member of our team, you will be empowered to: Develop innovative research ideas and translate them into actionable insights. Formulate and rigorously validate hypotheses using diverse analytical techniques. Analyze complex quantitative and qualitative data to extract meaningful conclusions. Synthesize findings into clear, concise reports and deliver compelling presentations to stakeholders. Leverage established research methodologies (including in-depth financial analysis, case studies, and econometrics) to directly support business strategy. What We're Looking For An MBA from a recognized institution. 6-11 years of progressive experience in a research-intensive environment. Experience within KPO/BPO or consulting sectors is a significant advantage. Demonstrated ability to work independently, manage time effectively under pressure, and take initiative. Strong analytical acumen, proficiency in Gen AI Research tools, MS Excel, PowerPoint, and financial analysis. Exceptional written and verbal communication skills, with the ability to build strong interpersonal relationships. A deep-seated interest in the power of research to drive business success. Stand Out With Experience in leading, managing, or mentoring teams. Familiarity with data visualization tools like Tableau and statistical tools like R. Exposure to leading industry research databases (HFS, Everest, Nelson Hall, ISG, Gartner, FactSet, IDC, Alpha Sense and similar). Show more Show less

Job Description The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . Responsibilities A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 5+ years of financial or non-financial risk industry experience. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals – from Idea to Plan to Done. We are responsible for collaborative work management products including Microsoft Project, Planner, To Do, Whiteboard, and Visio. We are actively working to envision and create “The Future of Work” leveraging LLMs and Agentic AI to provide utility and value to our customers. As a Principal Applied Scientist in Path you will help drive the analysis and quality of the content our agentic system produces and design and conduct experiments to maximize what customers can do with our products. You will also provide consultation and expertise to product and engineering teams on how to structure telemetry, UI, and software design to bets leverage Ai capabilities. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. You will review business and product requirements, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline. You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Other Requirements Candidates must be able to meet Microsoft, customer and/or government security screening requirements that are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications Master's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, as part of a product team. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. #agentic #llm Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

Highlight of the engagement opportunity Nature of role: Full time Number of years of experience expected: 0-2+ years Areas of past experience preferred: Quantitative modelling, ERM, Risk modelling & management, time series modelling, regression analysis, quantitative analysis and actuarial modelling Educational qualification expected: Pursuing graduation / Graduate/ Postgraduate Additional qualifications/ certifications required: None Minimum actuarial papers: 3-8 actuarial exams cleared / Actuary certifications / degrees Preferred geography of previous work experience: India / Europe / APAC / US Language requirements: Ability to write and speak fluently in English Application experience preferable: MS Excel, Python, C++, MSSQL Key responsibility areas: Develop end to end functionalities for modelling macro-economic factors and market prices like Interest rate, Credit Spread, FX, Commodities and Volatility. Adhere to development standards and protocols mandated by product organization. Drive the day-to-day execution of assigned client projects. Staying informed of latest developments in web applications and programming languages. Opportunity to work across risk functions like market risk for the banking and financial industry, and monitoring of investment fund performance using automation Develop stress testing models for financial risks Design and build solutions on Basel Pillar I and Pillar II modelling on proprietary platform Configure Pillar III disclosure reports for ICAAP and Risk appetite reporting Demonstrate functional understanding and interface with clientele during engagements. Conduct training sessions for end-users on the use of the Application and provide comprehensive documentation for ongoing reference. Perform financial analysis and risk modelling using analytical tools like python. Ability to analyze functional areas of a business and derive underlying risks for the business area Construct model documents to concisely communicate model methodology, assumptions and results along with governance and mitigations for the risk area. Participate in peer-review sessions for constructed risk models. Effectively communicate results and conclusions using PowerPoint. Clear communication skills to drive day to day client management and highlight key project risk areas to the team. Lead and drive day-to-day execution of assigned client project streams. Other important information: Work permit requirements: Either Indian Citizen or having valid work permit to work in India Period of engagement: Full-time position Probation period: 6 months Compensation: Compensation varies depending on the skill, fitment and role played by the person. Compensation discussions will take place post the selection process. Leave: 22 working days a year. Additional leaves for national holidays, sick leaves, maternity and paternity, bereavement and studies vary based on the city and country of engagement. Other benefits: Other employment benefits including medical insurance will be informed during the compensation discussion. Career growth for full-time roles: Acies believes in a transparent and data-based performance evaluation system. You are encouraged to clarify any questions you have with respect to career growth with Acies personnel you interact with during the selection process. Selection process: We seek to be transparent during the selection process. While the actual process may vary from the process indicated below, the key steps involved are as follows: Interview: There are expected to be at least 2-3 rounds of interviews. The number of interview rounds may increase depending on the criticality and seniority of the role involved. Final discussion on career and compensation: Post final selection, a separate discussion will be set up to discuss compensation and career growth. You are encouraged to seek any clarifications you have during this discussion. Preparation required: It is recommended that you prepare on the following aspects before the selection process: Demonstrate knowledge of Banking risks and quantification Demonstrate knowledge of Basel accords on Banking risk management Demonstrate proficiency in financial instrument valuation and risk assessment Demonstrate proficiency in statistical, econometrics and time series analysis Demonstrate proficiency in analytical coding languages like Python Understanding of products / exposures in the financial services industry (Banks / NBFC / Insurance) Requirements of Basel III, FRTB and ALM regulations for Banks. Knowledge requirements on various risk quantification models such as Linear regression and VaR Basic knowledge on a financial institution’s credit process, ALM process and treasury process to be able to effectively understand the risk areas for them. Financial statement analysis, balance sheet ratios Knowledge and understanding about capital adequacy, stress testing, behavioural modelling etc. For any additional queries you may have, you can send a LinkedIn InMail to us, connect with us at https://www.acies.consulting/contact-us.php or e-mail us at careers@acies.consulting. How to reach us: Should you wish to apply for this job, please reach out to us directly through LinkedIn or apply on our website career page - https://www.acies.consulting/careers-apply.html Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Architecture Management Level Senior Associate Job Description & Summary PwC is one of the most prestigious professional services firm in the world, serving as the auditor to nearly half of the world’s largest banks. PwC US Risk and Regulatory (R&R) comprises of a highly experienced team of risk management specialists supporting global financial institutions in their risk management initiatives. R&R has significant exposure to, and driver of, industry leading practices and has deep knowledge of regulatory expectations. R&R professional’s experience covers all financial model types, including those used to manage credit risk, market risk, operational risk and compliance risk—as well as those used for financial reporting, valuations and economic capital estimation. Risk Analytics Center of Excellence (CoE) is the India extension of R&R practice and provides key risk analytics services to global banks, investment firms, and asset management entities. It comprises of risk analytics professionals with stellar quantitative pedigree from premier institutions, industry certifications in CFA, FRM, PRM etc. and proven professional credentials in risk modeling and analytics at reputed financial institutions and consulting firms. As an integral part of PwC US R&R, Risk Analytics CoE drives risk analytics engagements, opportunity pursuits and cutting-edge innovation using data science, Artificial Intelligence, Machine Learning and Deep Learning. Fraud/AML Risk Analytics Professional Job Specification Candidate would be responsible for developing, validating, auditing and maintaining AI/ML/NLP models for Fraud/AML/Credit risk. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives. Multiple positions required; Experience level 3-6 years of experience; Location: Bangalore Core Skill Requirements Candidate must have relevant experience in Machine Learning/Artificial Intelligence, Natural Language Programming, Statistical / Mathematical modeling, quantitative research, Fraud/AML risk management, or related Credit Risk field at a reputed bank, fintech, or a consulting firm. Wider skill requirements include: Experience in Machine learning algorithms like Random Forest, SVM, Neural Network etc. and Artificial Learning use cases such as Natural Language Processing, Robotics etc. AML Scenario development, enhancement. Initial threshold setting and tuning. Proficiency in one or more analytical tools such Python, PY Spark, Data Science and cloud-based analytics etc. Experience in Model Development, Model Validation, Model Audit (implementation and execution experience will not be considered directly relevant) Business knowledge in transaction monitoring system, sanction screening, trade surveillance. Supports and/or runs global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities. Strengthen AML knowledge, Process Governance & Controls. Support Regulatory exams, Internal Audit, Compliance Assurance test, Self-identified issues / findings. Identify, assess, actively manage and control the risks that could come from our business, operational and organizational decisions. Develop and leverage innovative features and algorithms to drive down false positives and identify perceived threat across the firm Utilize traditional statistical analytics, graph theory / network science, ensemble methods and the like Natural language processing, text analytics, factors analysis / construct development and testing, machine learning feature development and engineering, etc. Prior experience in domains like AML/ Financial Crime analytics and strong knowledge of fraud data analysis and development, strategy design and delivery deployment. Non-functional Skill Requirements In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement For Senior Positions Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date August 23, 2024 Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Architecture Management Level Senior Associate Job Description & Summary PwC is one of the most prestigious professional services firm in the world, serving as the auditor to nearly half of the world’s largest banks. PwC US Risk and Regulatory (R&R) comprises of a highly experienced team of risk management specialists supporting global financial institutions in their risk management initiatives. R&R has significant exposure to, and driver of, industry leading practices and has deep knowledge of regulatory expectations. R&R professional’s experience covers all financial model types, including those used to manage credit risk, market risk, operational risk and compliance risk—as well as those used for financial reporting, valuations and economic capital estimation. Risk Analytics Center of Excellence (CoE) is the India extension of R&R practice and provides key risk analytics services to global banks, investment firms, and asset management entities. It comprises of risk analytics professionals with stellar quantitative pedigree from premier institutions, industry certifications in CFA, FRM, PRM etc. and proven professional credentials in risk modeling and analytics at reputed financial institutions and consulting firms. As an integral part of PwC US R&R, Risk Analytics CoE drives risk analytics engagements, opportunity pursuits and cutting-edge innovation using data science, Artificial Intelligence, Machine Learning and Deep Learning. Fraud/AML Risk Analytics Professional Job Specification Candidate would be responsible for developing, validating, auditing and maintaining AI/ML/NLP models for Fraud/AML/Credit risk. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives. Multiple positions required; Experience level 3-6 years of experience; Location: Bangalore Core Skill Requirements Candidate must have relevant experience in Machine Learning/Artificial Intelligence, Natural Language Programming, Statistical / Mathematical modeling, quantitative research, Fraud/AML risk management, or related Credit Risk field at a reputed bank, fintech, or a consulting firm. Wider skill requirements include: Experience in Machine learning algorithms like Random Forest, SVM, Neural Network etc. and Artificial Learning use cases such as Natural Language Processing, Robotics etc. AML Scenario development, enhancement. Initial threshold setting and tuning. Proficiency in one or more analytical tools such Python, PY Spark, Data Science and cloud-based analytics etc. Experience in Model Development, Model Validation, Model Audit (implementation and execution experience will not be considered directly relevant) Business knowledge in transaction monitoring system, sanction screening, trade surveillance. Supports and/or runs global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities. Strengthen AML knowledge, Process Governance & Controls. Support Regulatory exams, Internal Audit, Compliance Assurance test, Self-identified issues / findings. Identify, assess, actively manage and control the risks that could come from our business, operational and organizational decisions. Develop and leverage innovative features and algorithms to drive down false positives and identify perceived threat across the firm Utilize traditional statistical analytics, graph theory / network science, ensemble methods and the like Natural language processing, text analytics, factors analysis / construct development and testing, machine learning feature development and engineering, etc. Prior experience in domains like AML/ Financial Crime analytics and strong knowledge of fraud data analysis and development, strategy design and delivery deployment. Non-functional Skill Requirements In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement For Senior Positions Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date August 23, 2024 Show more Show less

Mission & Responsibilities Create and deliver optimal Mx, defined as Connection x Context x Content Work with Audience Architect to develop the growth target persona all the way through the media experience – for inclusion in planning tools, into buying audiences and into addressable segmentation Allocate budget across channels based on audience and objective in conjunction with econometrics and attribution specialists Recommend optimum content and context based on client, brief and strategy Deliver overall experience and articulation of how channels work together Input measurement framework, including KPIs and methodology in conjunction with specialists and Mx measurement teams Create and present Mx Story to clients Create the Mx guidelines in liaise with relevant internal specialist teams Ensure quality control on plan recommendation against Mx delivery Provide insightful post campaign optimization Contribute to the client satisfaction Ensure optimal Mx delivery Ensure audience planning and data integration from Mx brief to Mx measurement Previous Experience & Industry Background 8+ years professional experience in strategic planning Media, Brand Qualifications & Languages Bachelor’s or Master’s degree in Business, Marketing or Advertising Languages: English (Advanced) Soft skills & Competencies Understanding the business Taking initiative Focusing on performance Building collaborative relationships Media and media planning Mx Champion (Connection, Context, Content) Omnichannel Strong negotiation skills Elite Programmatic Data processing and management Marketing Strategy Technical skills Advertising technologies Operational performance management tools (e.g. Pilot, Magnitude) Audience planning tools (e.g. Polaris) Office software Show more Show less

Agency : PivotRoots Job Description : The Media Development Team Leader is responsible for defining and designing media experiences. S/He implements the Mx Development process across a portfolio of clients. Mission & Responsibilities Create and deliver optimal Mx, defined as Connection x Context x Content Work with Audience Architect to develop the growth target persona all the way through the media experience – for inclusion in planning tools, into buying audiences and into addressable segmentation Allocate budget across channels based on audience and objective in conjunction with econometrics and attribution specialists Recommend optimum content and context based on client, brief and strategy Deliver overall experience and articulation of how channels work together Input measurement framework, including KPIs and methodology in conjunction with specialists and Mx measurement teams Create and present Mx Story to clients Create the Mx guidelines in liaise with relevant internal specialist teams Ensure quality control on plan recommendation against Mx delivery Provide insightful post campaign optimization Contribute to the client satisfaction Ensure optimal Mx delivery Ensure audience planning and data integration from Mx brief to Mx measurement Previous Experience & Industry Background 8+ years professional experience in strategic planning Media, Brand Qualifications & Languages: Bachelor’s or Master’s degree in Business, Marketing or Advertising Languages: English (Advanced) Soft skills & Competencies Understanding the business Taking initiative Focusing on performance Building collaborative relationships Media and media planning Mx Champion (Connection, Context, Content) Omnichannel Strong negotiation skills Elite Programmatic Data processing and management Marketing Strategy Technical skills Advertising technologies Operational performance management tools (e.g. Pilot, Magnitude) Audience planning tools (e.g. Polaris) Office software Contract Type : Permanent Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Managing Consultant, Advisors & Consulting Services, Performance Analytics Trainee – Advanced Analytics Join the data revolution! MasterCard Advisors is helping to shape the future of data insights by leveraging billions of anonymised, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively. Be part of an Analytics Center of Excellence that is developing consumer insights that are reshaping how businesses make decisions. Advanced Analytics is charged with servicing Consulting Services, Information Services and Managed Services by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization. Use broad retail, capital markets, media, and/or payments industry experience and deep knowledge of the application of big data quantitative analytics to provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base. Major Responsibilities:  Rigorously and logically identify issues covering entire client problem to understand business objectives  Generate key hypotheses and independently structures work at the stream or small project level  Identify creative and useful additional analyses required and suggest new paradigms for recommendations  Create effective, impactful and quality assured storylines and slides at stream or small project level  Analyze large volumes of transaction and customer data to generate insights and actionable recommendations to drive business growth  Synthesize analyses into clear, sound recommendations; takes responsibility for structuring and writing reports and client ready presentations from a work stream or project level.  Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals  Set the department standard for data driven insights and advanced analytics solutions using tools such as SAS, SQL and MS office suite  Collect and synthesize feedback from clients, project delivery analysts, and sales teams for new solutions or product enhancements. Provide design specifications, functional and technical requirements for development of new products and solutions.  Generates key hypotheses and independently structures work at the work stream or project level  Build behavioral scorecards for target marketing and risk management solutions using econometric and statistical modeling techniques  Create highly predictive models using segmentation and regression techniques to drive profits  Reviews analytics end-products to ensure accuracy, quality and timeliness.  Develops effective working relationships with global teams and business partners  Proactively seeks new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Qualification and Skills Required:  Advanced degree in Economics/Statistics/Mathematics or B.E. in a technical or quantitative discipline before M.B.A from Tier 1 Business Schools in India.  Acumen of business analysis, segmentation and modeling, data mining using large volumes of granular data to deliver analytical solutions  Excellent verbal and written communication skills  Excellent analytical skills  Ability to work on a team or independently  Ability to multi-task in a fast-paced, deadline-driven environment  Advanced Word, Excel and PowerPoint skills  Attention to detail  Platforms/Environments: SQL, Python, VBA, Tableau Languages:  English required  Additional languages desired Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc. Proficiency in cloud platforms like GCP, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful Gen-AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. Responsibilities Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams Qualifications BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 5 years of experience in at least one of the following languages: Python, R 5 years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms 1+ years of experience in developing LLM solutions for Enterprise Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills Show more Show less

You will be accountable for coordinating our delivery efforts across the internal and external teams located in AIN and across India. Additionally, the Director must manage relationships across a complex internal set of teams and functional groups. This position reports to the Executive Director, Technology & Workforce Transformation and will be responsible for the following: Responsibilities Key Integrator: Act as the main point of contact and representative of the Tech and Workforce Transformation team in India. Talent Development: Hire, train, develop, and manage talent to meet organizational needs. Global Collaboration: Act as the primary point of contact for GCC senior leadership in the US and the offshore team in India, including Contract teams and direct AIN FTEs. Optimization: Oversee analysis efforts to optimize workforce and resource allocation, driving efficiency across the business. Operational Excellence and Delivery: Oversee end-to-end delivery of core sales & marketing operations projects ensuring quality, scalability, and operational efficiency. Offshore Vendor Management: Manage offshore teams including CWs, maintaining quality of service and timely deliverables. Innovation Leadership: Foster a culture of innovation, ensuring the India team remains at the forefront of emerging technologies and trends in automation and AI. Continuous Improvement: Lead identification and prioritization of areas of opportunity across the organization. Collaborate with cross-functional teams to implement organizational improvements. Automation: Lead the piloting, planning, and implementation of automation across the GCC portfolio of capabilities. Business Impact & Collaborator Management: Ensure capability solutions drive tangible business outcomes. Collaborate with global key collaborators to refine requirements, measure impact, and report progress. Financial Management: Oversee GCC budget associated with offshore work in India, ensuring best negotiated rates and overall value. What We Expect of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications Doctorate degree and 4 years of experience in statistics, operations research, mathematics, econometrics, business administration, or a quantitative field OR Master's degree and 14 to 16 years of experience in the above fields OR Bachelor's degree and 16 to 18 years of experience in the above fields Preferred Qualifications Relevant sales, marketing, operations, and Bio/Pharmaceutical industry experience. Innovative customer capability leadership experience. Minimum 5 years of professional experience in operational effectiveness with a consistent record of automation development and capability efficiencies. Comprehensive understanding of setting up data models and running scenario planning to match business needs. Thorough understanding of tagging, Google Analytics, CRM, Content Management Systems, and other components of a Digital Marketing Ecosystem. Leadership experience in building and developing dedicated teams, delivering results, and shaping the future. Ability to foster openness and transparency, encourage diverse opinions, and empower risk-taking in idea generation, incubation, and experimentation. Proven ability to lead the creation of an automation and innovation-forward culture driving top-line growth, cost control, and timely corrective action to mitigate risks. Strategic thinker able to handle issues impacting a portfolio of therapeutics across geographies and development stages. Experience managing multiple senior key collaborators, prioritizing responsibilities, and allocating resources for maximum impact. Strong oral, written, and presentation skills to clearly explain complex concepts and controversial findings to diverse audiences, including senior management. Comfortable challenging the status quo and proposing innovative solutions. Ability to identify opportunities for process and systems innovation and implement change to enhance team effectiveness. Experience leading large-scale global change management initiatives. Understanding of technology platforms and ability to partner effectively with IS/IT and cross-functional business leaders.

Position Overview ABOUT APOLLO Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade to private equity with a focus on three investing strategies: yield, hybrid, and equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact, to expand opportunity and achieve positive outcomes. OUR PURPOSE AND CORE VALUES Our Clients Rely On Our Investment Acumen To Help Secure Their Future. We Must Never Lose Our Focus And Determination To Be The Best Investors And Most Trusted Partners On Their Behalf. We Strive To Be The leading provider of retirement income solutions to institutions, companies, and individuals. The leading provider of capital solutions to companies. Our breadth and scale enable us to deliver capital for even the largest projects – and our small firm mindset ensures we will be a thoughtful and dedicated partner to these organizations. We are committed to helping them build stronger businesses. A leading contributor to addressing some of the biggest issues facing the world today – such as energy transition, accelerating the adoption of new technologies, and social impact – where innovative approaches to investing can make a positive difference. We are building a unique firm of extraordinary colleagues who: Outperform expectations Challenge Convention Champion Opportunity Lead responsibly Drive collaboration As One Apollo team, we believe that doing great work and having fun go hand in hand, and we are proud of what we can achieve together. Our Benefits Apollo relies on its people to keep it a leader in alternative investment management, and the firm’s benefit programs are crafted to offer meaningful coverage for both you and your family. Please reach out to your Human Capital Business Partner for more detailed information on specific benefits. Apollo seeks a Quantitative Developer for its India Mumbai office within Quantitative Development team. The Quantitative Development team maintains proprietary mortgage investment risk models used for financial reporting, risk measurement, pricing and strategic business decisions. The candidate will report jointly to the Woodland Hills Consumer & Residential Quantitative Analytics team as well as the Indian Quantitative Analytics Team in support of the mortgage effort. Candidate will support trading and portfolio management team in daily tasks associated with mortgage trading and are expected to provide support until Noon NY time. Strong performers will have the opportunity to advance into larger responsibilities on the quantitative analytics team. Responsibilities Analyze and create portfolio loan tapes, verifying data consistency and generating stratifications and analysis Data Analytics: Applying transformations, substitutions to mortgage datasets to be used as an input to proprietary models Perform model runs Communicating with the traders on any assumptions applied Updating data tapes once new data is available Maintain data, research and assumptions on historical model runs [Populate key fields into Data Warehouse] Performing ad-hoc requests for data analysis, queries, etc, as needed by portfolio management and trading team Automating reporting and monitoring processes for existing transactions Qualifications & Experience Minimum Bachelor’s degree, ideally an advanced degree, in a Quantitative background (statistics, machine learning, quantitative finance, financial mathematics, econometrics, physics, mathematics) Junior Quant Analyst – (1-3 yrs) Experience working with data processing language, Python is preferred Experience working with basic data analysis tools such as SQL, Excel, etc. Experience working with basic programming languages (C++ and C# preferred) Basic knowledge of finance, capital markets Detail oriented Strong communication skills, both written and verbal Ability to work in a fast-paced environment, under pressure and deliver accurately and on time Apollo provides equal employment opportunities regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, veteran status, gender/sex or sexual orientation, or any other criterion or circumstance protected by applicable law, ordinance, or regulation. The above criteria are intended to be used as a guide only – candidates who do not meet all the above criteria may still be considered if they are deemed to have relevant experience/ equivalent levels of skill or knowledge to fulfil the requirements of the role. Any job offer will be conditional upon and subject to satisfactory reference and background screening checks, all necessary corporate and regulatory approvals or certifications as required from time to time, and entering into definitive contractual documentation satisfactory to Apollo. Show more Show less

Position Overview ABOUT APOLLO Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade to private equity with a focus on three investing strategies: yield, hybrid, and equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact, to expand opportunity and achieve positive outcomes. OUR PURPOSE AND CORE VALUES Our Clients Rely On Our Investment Acumen To Help Secure Their Future. We Must Never Lose Our Focus And Determination To Be The Best Investors And Most Trusted Partners On Their Behalf. We Strive To Be The leading provider of retirement income solutions to institutions, companies, and individuals. The leading provider of capital solutions to companies. Our breadth and scale enable us to deliver capital for even the largest projects – and our small firm mindset ensures we will be a thoughtful and dedicated partner to these organizations. We are committed to helping them build stronger businesses. A leading contributor to addressing some of the biggest issues facing the world today – such as energy transition, accelerating the adoption of new technologies, and social impact – where innovative approaches to investing can make a positive difference. We are building a unique firm of extraordinary colleagues who: Outperform expectations Challenge Convention Champion Opportunity Lead responsibly Drive collaboration As One Apollo team, we believe that doing great work and having fun go hand in hand, and we are proud of what we can achieve together. Our Benefits Apollo relies on its people to keep it a leader in alternative investment management, and the firm’s benefit programs are crafted to offer meaningful coverage for both you and your family. Please reach out to your Human Capital Business Partner for more detailed information on specific benefits. Apollo seeks a Quantitative Developer for its India Mumbai office within its Quantitative Development team. The Quantitative Development team maintains proprietary mortgage investment risk models used for financial reporting, risk measurement, pricing and strategic business decisions. The candidate will report jointly to the Woodland Hills Consumer & Residential Quantitative Analytics team as well as the Indian Quantitative Analytics Team in support of the mortgage effort. Candidate will support trading and portfolio management team in daily tasks associated with mortgage trading and are expected to provide support until Noon NY time. Strong performers will have the opportunity to advance into larger responsibilities on the quantitative analytics team. Responsibilities Improve upon current database through streamlining, consolidation and organization of several terabytes of historical data across numerous products, including Consumer performance data Mortgage performance data Trade logs Historical industry datasets Track and examine daily servicer data for large portfolio of mortgage loans Monitor performance of investments through generation of reports for portfolio management, team, including Creation of performance dashboards and GUIs Maintenance of existing and new data Clean, reconcile and format existing and new data for consumption into models and performance outputs Track performance against agreed upon trade stipulations and generate reports for breaches Maintain data, research and assumptions on historical model runs in newly defined database Performing ad-hoc requests for data analysis, queries, etc, as needed by portfolio management and trading team Automating reporting and monitoring processes for existing transactions Qualifications & Experience Minimum Bachelor’s degree, ideally an advanced degree, in a Quantitative background (statistics, machine learning, quantitative finance, financial mathematics, econometrics, physics, mathematics, database management) Experience working with data processing language, Python is preferred Experience working with basic data analysis tools such as SQL, Excel, etc. Experience working with basic programming languages (C++ and C# preferred) Knowledge of finance, capital markets Detail oriented Strong communication skills, both written and verbal Ability to work in a fast-paced environment, under pressure and deliver on time 3-5 Yrs hands on work experience in data modelling, database management or as a DBA Have experience in building data exploratory tools Apollo provides equal employment opportunities regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, veteran status, gender/sex or sexual orientation, or any other criterion or circumstance protected by applicable law, ordinance, or regulation. The above criteria are intended to be used as a guide only – candidates who do not meet all the above criteria may still be considered if they are deemed to have relevant experience/ equivalent levels of skill or knowledge to fulfil the requirements of the role. Any job offer will be conditional upon and subject to satisfactory reference and background screening checks, all necessary corporate and regulatory approvals or certifications as required from time to time, and entering into definitive contractual documentation satisfactory to Apollo. Show more Show less

Position Overview ABOUT APOLLO Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade to private equity with a focus on three investing strategies: yield, hybrid, and equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact, to expand opportunity and achieve positive outcomes. OUR PURPOSE AND CORE VALUES Our Clients Rely On Our Investment Acumen To Help Secure Their Future. We Must Never Lose Our Focus And Determination To Be The Best Investors And Most Trusted Partners On Their Behalf. We Strive To Be The leading provider of retirement income solutions to institutions, companies, and individuals. The leading provider of capital solutions to companies. Our breadth and scale enable us to deliver capital for even the largest projects – and our small firm mindset ensures we will be a thoughtful and dedicated partner to these organizations. We are committed to helping them build stronger businesses. A leading contributor to addressing some of the biggest issues facing the world today – such as energy transition, accelerating the adoption of new technologies, and social impact – where innovative approaches to investing can make a positive difference. We are building a unique firm of extraordinary colleagues who: Outperform expectations. Challenge Convention Champion Opportunity Lead responsibly. Drive collaboration As One Apollo team, we believe that doing great work and having fun go hand in hand, and we are proud of what we can achieve together. Our Benefits Apollo relies on its people to keep it a leader in alternative investment management, and the firm’s benefit programs are crafted to offer meaningful coverage for both you and your family. Please reach out to your Human Capital Business Partner for more detailed information on specific benefits. Position Overview The incumbent will be part of Market Risk group. They will play an instrumental role in the enhancement of Risk function which is a critical part of our overall business strategy by partnering closely with the senior leadership team in Risk. Apollo is seeking an investment risk professional with strong business acumen and technical skills to support its Market Risk function. The position will be responsible for monitoring and analyzing portfolio risks and engaging with Senior Portfolio Managers to identify drivers and exposures, respond to inquiries, and make recommendations that will ultimately influence investment behavior and portfolio construction. In addition, the incumbent will leverage their market risk experience and programming skills to develop tools that maximize efficiency and define how Apollo analyzes investment risks globally. The position also requires a strong project management, relationship management and people management skills, combined with a practical and hands-on experience in financial markets. Your Responsibilities Will Include Demonstrated ability to work effectively and independently across different businesses and functional areas with thorough attention to detail in a potentially high paced environment. Monitor investment risks of portfolios to ensure that risks are fully understood by portfolio managers and senior management, and appropriately scaled consistent with clients’ objectives. Analyze portfolio risk utilizing analytical tools and techniques to facilitate discussions on portfolio construction. Visualization of risk assessment via Tableau, Python or best in class visualization tool Utilize proprietary risk systems for monitoring of portfolio exposures, stress testing, risk and performance attribution. Partner with Analytics and Technology teams to develop, enhance, and deliver state-of-the-art risk analytics and models. Build and manage relationships with stakeholders, and more importantly with local and regional business leaders, including internal and external parties. Be diplomatic and adaptable, but nonetheless be a forthright influencer and communicator, capable of understanding and managing the diverse requirements of numerous senior stakeholders. Qualifications & Experience 2+ years of experience as a risk manager or in trading in large Inv Banks or Asset Manager with an emphasis within the credit products. Knowledge of traded credit market dynamics including cash, synthetics, and structured products. Good understanding of quantitative traded credit methodologies and traded credit analytics. Preference for programming skills; proficiency with Python, SQL, and Excel. Bachelor’s degree from an accredited institution required; master’s degree in a quantitative discipline such as mathematics, computer science, financial engineering, econometrics is preferred, but not required. Collaborative, organized, flexible and results driven. Must have strong drive and initiative, be collaborative to effectively liaise with senior stakeholders and colleagues. A forward thinking, creative individual who challenges the status quo and takes initiative to reengineer processes. Strong project management skills Excellent stakeholder management skills, including the ability to resolve conflict and observe confidentiality. Be nimble and flexible to balance multiple tasks simultaneously. The ability to take on a task and “run with it” to conclusion is a critical characteristic of this role. Apollo provides equal employment opportunities regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, veteran status, gender/sex or sexual orientation, or any other criterion or circumstance protected by applicable law, ordinance, or regulation. The above criteria are intended to be used as a guide only – candidates who do not meet all the above criteria may still be considered if they are deemed to have relevant experience/ equivalent levels of skill or knowledge to fulfil the requirements of the role. Any job offer will be conditional upon and subject to satisfactory reference and background screening checks, all necessary corporate and regulatory approvals or certifications as required from time to time, and entering into definitive contractual documentation satisfactory to Apollo. Show more Show less

Job Description Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking a highly skilled Statistician with expertise in statistics, mathematics, econometrics, and experience with consumer panel data to revolutionize the way we measure consumer behavior both online and in-store. You will work on all methodologies sitting on our Panel On Demand (POD) platform which includes aggregation methods and analytical models. About The Role Collaborative Environment: Work with an international team in a flexible and supportive setting. Methodology Enhancement: Evaluate and improve current methodologies within the POD platform Research and Analysis: Present and communicate findings and recommendations based on rigorous research and analysis. Innovative Solutions: Develop prototypes of new solutions and methodologies to address market challenges. Deployment Support: Assist the technical deployment of proposed enhancements and new solutions. Documentation: Document findings, methodologies, and best practices comprehensively. About You Ideally you possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You have successfully applied your statistical and data analytical skills to real-world scenarios, demonstrating your ability to handle complex data sets and generate actionable insights. Qualifications Educational Background: Master’s Degree in Mathematics, Statistics, Socio-economics, Data Science, or a related field with a minimum of 3 years of relevant experience. Statistical Expertise: Strong statistical and logical skills, with experience in data cleaning, statistical modeling, sampling, and data aggregation techniques. Consumer Insights: Knowledge of consumer behavior and (un)managed consumer-related crowdsourced panels. Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets. Programming Proficiency: Experience with Python or another high-level programming language, with a willingness to learn Python. Database Handling: Skilled in SQL and working with queries and large-scale databases. Continuous Learning: Eagerness to adopt and develop evolving technologies and tools. Communication and Collaboration: Strong communication, writing, and collaboration skills. Embark on this exciting journey to transform our panel measurement business and make a significant impact in the world of consumer analytics. Apply now to be a part of our innovative team! Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

At Hempel, we trust you to shine. If you have the drive to contribute and embrace new challenges you will enjoy great opportunities with us. Right now, we’re looking for a Commercial Excellence Specialist to join our global Marine team. As a Commercial Excellence Specialist, you will play a key role in implementing commercial processes and sales excellence activities within the region. This role to be based in Bahrain and reports into Commercial Excellence Manager. You can look for forward to working with a diverse group of ambitious and talented people from many different backgrounds, giving you a unique global network. Here Are Some Key Responsibilities To Look Forward To Support the Global Commercial Excellence team with the standardization of the commercial processes and other key objectives Utilize advanced Excel skills (including pivot tables, lookups, and potentially SQL queries) to manipulate and interpret complex datasets Be involved in several data hygiene processes Drive initiatives from other functions to sales in a structured manner Drive implementation & effective sales tools (CRM & PowerBi) usage Proactively identify and address challenges, working collaboratively to find effective solutions in the commercial arena Engage with ideas on improvements on tools and processes after checking for feedback with intended stakeholders What We’re Looking For Graduate in Business OR Econometrics / Data Science or any data heavy discipline Excellent Microsoft office skills especially Excel (Large data set analysis, SQL etc). Experience with project management tools – Miro, Trello, etc preferred Ability to converse fluently in English (verbal and written) Excellent interpersonal skills with ability to interact with, negotiate & drive changes Ability to work in a fast-paced, global, matrix environment Does it sound like a match to you? Click the ‘Apply for position’ button in the top-right corner and submit your application letter with a CV in English via our recruitment system. Final deadline for applications is 02 Jul 2025. More About Hempel At Hempel, you’re welcomed to a global community of 7,500 colleagues around the world. A workplace built on shared trust, mutual respect and support for each other. We’re on a mission to double our impact. To succeed, we need bright minds and team players. Which is why, from day one, your input, ideas and initiative are not only welcomed, but expected. In return, you will enjoy great opportunities for development in a growing global company – and be part of the solution by contributing to our global impact. At Hempel, we are committed to everyone feeling safe, valued and treated equally, in an environment where each employee can bring their authentic selves to work. We believe that inclusion is key to innovation and by bringing together the most diverse perspectives and talents, we can achieve great things, together. We are proud to be majority owned by the Hempel Foundation, dedicated to philanthropic activities, with our earnings contributing to a multitude of charitable initiatives every year. It means that when working at Hempel, your hard work and dedication contributes to a greater cause, making your career matter twice. Learn more about Hempel and our commitments on hempel.com/career. Application due 2025-07-02 Seniority Level Mid-Senior level Job Functions Analyst, Project Management, Strategy / Planning Industry Chemicals At Hempel, you’re welcomed to a global community of +7000 colleagues around the world. A workplace built on shared trust, mutual respect and support for each other. We’re on a mission to double our impact. To succeed, we need bright minds and team players. Which is why, from day one, your input, ideas and initiative are not only welcomed, but expected. In return, you will enjoy great opportunities for development in a growing global company – and be part of the solution by contributing to our global impact. At Hempel, we are committed to everyone feeling safe, valued and treated equally, in an environment where each employee can bring their authentic selves to work. We believe that inclusion is key to innovation and by bringing together the most diverse perspectives and talents, we can achieve great things, together. Show more Show less