775 Econometrics Jobs - Page 7

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Title: AI Security Architect Job Description Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews and processing of all of AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains are included in AI development. We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. Responsibilities Work in or lead an agile team to design and build architectures on AI solutions. Engage proactively with customers to better understand their needs and obtain feedback. Acquire and develop technology agnostic reference architectures across AI Security Architecture. Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps Develop vendor agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI etc. Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture. Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. Develop Technology design and program planning to bring in value added solution delivery and ensure strategic alignment and long-term business benefits Engage in grooming security analysts and solution architects to bring in holistic perspective in every solution delivery Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. Develop scalable algorithms capable of learning, analyzing and predicting future events. Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. Ability to perform in depth data analysis including but not limited to: Machine Learning Classification Optimization Time Series analysis Pattern Recognition Candidate must have thorough understanding and experience on following in terms of AI and AI Security Threat models Security analysis Design and integration into AI and ML infra Some familiarity with offensive perspective on AI – attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills 5+ years of experience as Architect with skills on AI and AI Systems. 3+ years working with languages Python and SQL 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.) 5 or more years’ experience presenting and delivering results to business partners and leadership. 2 or more years’ experience in Cyber Security domain knowledge. Strong project management, negotiation and interpersonal skills Advanced written and verbal communication skills and presentation skills You may also have a Bachelor's and/or post graduate degree in computer science, information systems, engineering, or a related major. Preferred Certifications in data science, deep learning, and ML Exposure to Generative AI and NLP Experience on multi cloud. 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.) 2 or more years with modern data engineering with APIs 2 or more years’ experience in Cyber Security domain knowledge. M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. 2 or more years applying agile SDLC. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Title: AI Security Architect Job Description Cyber Security is seeking a Security architect to join the Cyber AI team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our practice and will be directly responsible for design, development, deployment, design reviews and processing of all of AI first projects. The successful candidate will work closely with key stakeholders to drive key project activities and involve Cybersecurity domains are included in AI development. We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cyber Security. Responsibilities Work in or lead an agile team to design and build architectures on AI solutions. Engage proactively with customers to better understand their needs and obtain feedback. Acquire and develop technology agnostic reference architectures across AI Security Architecture. Reviewing current state AI system security architectural foundations and recommend enhancements with target roadmaps Develop vendor agnostic security solution architecture with technology reference architecture aligned to various best practices such as NIST, ENISA, ETSI etc. Vital contributor to develop security design patterns, framework, approach, and methodology in the discipline of AI Security, developing project timelines for ongoing system upgrades Ensure to collaborate across domain and solution architects at different sub-competency of Cyber Security and act as CoE Champion to aggregated best practices of security reference architecture. Conduct Technology and Infrastructure Security Assessment in terms of threat, vulnerability, and risk aspects of an enterprise security architecture perspective. Develop Technology design and program planning to bring in value added solution delivery and ensure strategic alignment and long-term business benefits Engage in grooming security analysts and solution architects to bring in holistic perspective in every solution delivery Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis. Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis. Develop scalable algorithms capable of learning, analyzing and predicting future events. Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques. Ability to perform in depth data analysis including but not limited to: Machine Learning Classification Optimization Time Series analysis Pattern Recognition Candidate must have thorough understanding and experience on following in terms of AI and AI Security Threat models Security analysis Design and integration into AI and ML infra Some familiarity with offensive perspective on AI – attack model perspective, model extraction, data poison, etc. QUALIFICATIONS: Required Skills 5+ years of experience as Architect with skills on AI and AI Systems. 3+ years working with languages Python and SQL 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc.) 5 or more years’ experience presenting and delivering results to business partners and leadership. 2 or more years’ experience in Cyber Security domain knowledge. Strong project management, negotiation and interpersonal skills Advanced written and verbal communication skills and presentation skills You may also have a Bachelor's and/or post graduate degree in computer science, information systems, engineering, or a related major. Preferred Certifications in data science, deep learning, and ML Exposure to Generative AI and NLP Experience on multi cloud. 2 or more years skilled at data visualization (PowerPoint, Tableau, D3, ggplot, matlib, seaborn, etc.) 2 or more years with modern data engineering with APIs 2 or more years’ experience in Cyber Security domain knowledge. M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. 2 or more years applying agile SDLC. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Fraud/AML Risk Analytics Professional Job Specification Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: 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 3-7 years of experience; Location: Bangalore Core Skill Requirements 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

Are you an experienced Principal Data Science Manager , with a relentless passion for data and analytics and a desire to drive future products via key data insights? Do you love managing and mentoring other Data scientists, analysts and Data engineers to achieve critical business goals? Does the thought of being able to influence the product in each stage of the lifecycle through insights & predictions excite you? Do you love measuring, understanding, and predicting based on real-world user data to come up with insights that drive experiments and recommendations to help move business metrics? If so, we want to talk to you! We are the Data & Applied Sciences team for Windows at Hyderabad, India. We work across various Windows products with the goal of using advanced analytics & data science to inform decision making, drive product performance and maximize business impact through the power of Data. In short, we thrive on data to solve high impact business problems for Windows! We're looking for an enthusiastic, hands-on and expert Principal Data Scientist Manager, to help us generate and deliver insights and recommendations through data for experiences running on 1.3 billion Windows devices. 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 As an experienced Data Scientist Manager, you will take on the most complex problems and guide the rest of the team in their efforts, helping them formulate approaches to solve challenging problems and discover new opportunities using well-defined algorithms and data sources in context of customer, engineering, and business needs. Your responsibilities will include working closely with a variety of teams such as Engineering, Product Management, Design and application partners to understand the key business questions for customer-facing scenarios, to set up the key performance indicators, deeply analyze the data to identify insights and experiment ideas that moves our business metrics. We will be looking to you to help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, to design and assess experiments, to measure growth and to derive insights that help identify next wave of opportunities and problems to be solved. Qualifications Required Qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 5+ years of experience as a lead, including mentoring and growing junior data scientists & analysts. 10+ years of experience as a practicing Data Scientist. Exceptional teamwork and values that foster a positive team culture. Experience in collaborating with teams across different time zones and geographies. Experience with EDA, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting. Experience with Experiment Design and analysis. Experience in one or more programming languages, preferably C#, Python or Java. Experience in mentoring less experienced data engineers and helping to set a positive team culture. Ability to learn and work effectively in a highly ambiguous, rapidly evolving environment Demonstrated partnership, collaboration, and interpersonal skills. Excellent oral and written communication skills and ability to "tell compelling stories" through data. Preferred Qualifications Experience with Big Data technologies like Spark, Hadoop or other open- source technologies or SCOPE/COSMOS or U-SQL/ADL. A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress. #W+Djobs #Windows, #Windows India, #Data Science 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.

Description Amazon Consumer Gift Cards is a fast-growing, multi-billion-dollar, worldwide business with a mission to provide the world’s most desired and convenient gift to customers. We are looking for an Business Intelligence Engineer with broad technical skills to build analytic and reporting capabilities to deliver on strategic analytical/reporting projects, define/produce end-to-end metrics that inform product, business, and marketing decisions and identify new growth opportunities through data-driven insights. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team. Key job responsibilities Core Responsibilities Includes But Not Restricted To Interfacing with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product, operations, and marketing decisions. Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling Evolve organization wide Self-Service platforms Building metrics to analyze key inputs to forecasting systems Leading complex analytical deep dives (Segmentation, A/B testing) Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Basic Qualifications Bachelor degree in computer science engineering, economics, statistics, mathematics, econometrics, or a similar quantitative field Demonstrated ability to interact with business customers, gather requirements and deliver complete scalable and sustainable BI solutions 2+ years work experience in analytics field and working with relational Databases Self-driven, and showcases ability to deliver on fast paced projects using extremely large data sets Fluency in SQL, and deep understanding of ETL is a must. Preferred Qualifications Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills Experience and ability to effectively gather information from multiple data sources and deliver on ambiguous projects with incomplete or dirty data Knowledge and direct experience using business intelligence reporting tools such as Tableau/QuickSight Experience working with redshift, Cradle or other AWS tools is a plus Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3006531

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Roles and responsibilities The ideal candidate should have strong communication skills to effectively engage with both technical and non-technical stakeholdersThe candidate will be responsible for developing end to end task/workflow automation pipeline using Python using wide range of data sources (both on premise and cloud)Candidate should have strong working experience is transforming excel based manual processes to fully automated python based process incorporating strong governance around itThe person should be competent in Python Programming and possess high levels of analytical skills - Data pre-processing, engineering, data pipeline development and automation In-depth knowledge of libraries such as pandas, numpy, scikit-learn, openpyxl, pyxlsb, TensorFlow, PyTorch etc.Well-versed with Python coding standards and formatting conventions to ensure maintainable, scalable, and reusable modules.Build and automate workflows using Microsoft Power Platform (Power BI, Power Apps, Power Automate).integrating systems and automating workflows using WTW Unify Knowledge of Dataiku is a plus.Apply GenAI techniques to enhance data exploration, automate content generation, and support decision-making.Ensure data quality, governance, and compliance with organizational standards.Well-versed with CI/CD pipelines using Azure DevOps (ADO) for seamless deployment and integration of data science solutions.Experience working on Posit Workbench, Posit Connect will be an added advantageStay updated with the latest trends in AI, machine learning, and data engineering.Tools/Tech experience – Mandatory – Python (Data processing, Engineering & Automation), SQL, Proficiency with version control systems like ADO/BitbucketPreferred - R programming, Posit Workbench, R Shiny Experience processing large amount of data using BigData technologies is preferredFamiliarity with Microsoft Power Platform tools.Knowledge of Dataiku is a plus.Familiarity with WTW Unify platform and its applications in analytics.Knowledge of Generative AI models and frameworks (e.g., GPT, DALL·E, Llama).Knowledge of data visualization tools and techniques is a plus Functional/Other expertiseRelevant experience: 8+ years of experience using Python programming Language for end-to-end data pre-processing, transformation and automationExperience in the Insurance domain preferred (for e.g. Finance, Actuarial) Qualifications Educational Qualification: Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or BE/B-Tech, MCA or MBA from Tier 1 institutions

Job Description: Dreaming big is in our DNA. It's who we are as a company, our culture, our heritage, and more than ever, our future. A future where we're always looking forward, serving up new ways to meet life's moments, and where we keep dreaming bigger. We look for individuals with passion, talent, and curiosity and provide them with teammates, resources, and opportunities to unleash their full potential. The power we create together, when we combine your strengths with ours, is unstoppable. Are you ready to join a team that dreams as big as you do AB InBev GCC, incorporated in 2014 as a strategic partner for Anheuser-Busch InBev, leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do you dream big We need you. Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Purpose of Role: - Understand and solve complex business problems with sound analytical prowess to provide impactful insights in decision-making. - Ensure any implementation roadblocks are communicated to the Analytics Manager to prevent project timeline delays. - Document every aspect of the project in a standard way for future reference. - Articulate technical complexities to senior leadership in a simple and easy-to-understand manner. Key Tasks and Accountabilities: - Understand business problems and collaborate with stakeholders to translate them into data-driven analytical/statistical problems during the solution-building process. - Create appropriate datasets and develop statistical data models. - Translate complex statistical analyses over large datasets into insights and actionable steps. - Analyze results and present findings to stakeholders. - Communicate insights using business-friendly presentations. - Mentor other Data Scientists/Associate Data Scientists. - Build a project pipeline in Databricks that is production-ready. - Develop dashboards (preferably in Power BI) for easy consumption of solutions. Qualifications, Experience, Skills: - Level of Educational Attainment Required: Bachelor's/Master's Degree in Statistics, Applied Statistics, Economics, Econometrics, Operations Research, or any other quantitative discipline. - Previous Work Experience: Minimum 4-6 years in a data science role, building, implementing, and operationalizing end-to-end solutions. - Expertise strongly desired in building statistical and machine learning models for classification, regression, forecasting, anomaly detection, dimensionality reduction, clustering, etc. - Exposure to optimization and simulation techniques (good to have). - Expertise in building NLP-based language models, sentiment analysis, text summarization, and Named Entity Recognition. - Proven skills in translating statistics into insights, with sound knowledge in statistical inference and hypothesis testing. - Mandatory: Microsoft Office, Expert in Python, Advanced Excel. - An undying love for beer!,

As a CRO Wealth Management Pre-Deal Analyst at Deutsche Bank, you will be playing a crucial role in the Lombard Lending and Derivatives Risk Management Pre-Deal team based in Mumbai, India. Your primary responsibility will be to perform Pre-deal trade level Advance Ratio calculation for Lombard Lending collateral and Credit Exposure and Initial Margin calculation for derivatives across various asset classes like fixed income, foreign exchange, commodities, credit, Emerging Markets, and asset-backed securities. This analysis involves utilizing quantitative and qualitative risk management techniques such as VAR, Potential Future Exposure, back-testing, scenario and stress testing, as well as identifying other non-trivial risks such as liquidity, wrong-way, dislocation, concentration risk, and gap risk. Additionally, you will be reviewing and coordinating the implementation of new Advance Ratio calculation rules, updating the Wealth Management methodology handbook, business requirement documentations, KOPs, and calculation workbooks. Close interaction with Lending Business, IPB & WM credit analysts, and the IPB Agile team is essential to discuss new trades, inherent risk, defend risk calculation approach, identify market trends, perform and communicate portfolio impact and concentration risk analysis, and monitor deteriorating collateral. To excel in this role, you are required to have a University degree in Finance, Mathematics, Engineering, Physics, Economics, Econometrics, Statistics, or Humanities subjects with strong programming skills. A sound knowledge of financial markets, traded products, risk concepts, and strong derivative product knowledge across multiple asset classes is crucial. Your strong mathematical and statistical background, attention to detail, and analytical skills will be key to success. Moreover, you should possess 2-6 years of working experience in Model Risk, Lombard Lending, Derivatives Business, or Risk Management. Proficiency in Excel and using statistical software packages like Python for analysis and risk management is necessary. Being able to multitask and deliver under tight deadlines will be an advantage. At Deutsche Bank, we offer a supportive environment with training, development, coaching, and continuous learning opportunities to aid your career progression. We strive for a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. Together, we celebrate success, promote diversity, and foster a positive and inclusive work environment. If you are looking to grow your career in a dynamic and innovative global bank, we welcome your application.,

The Portfolio Models and Alpha Model Validation Specialist, Associate role based in Mumbai, India is a part of the Model Risk Management (MoRM) team at Deutsche Bank. MoRM is responsible for managing model risk by independently validating internal models and monitoring and controlling model risk. The Portfolio Models and Alpha validation team within MoRM focuses on validating portfolio models developed for Credit Risk, Business Risk, Operational Risk, and Risk Type Diversification. As a Portfolio Models and Alpha Model Validation Specialist, your key responsibilities will include independent validation of models and model changes, performing quantitative analyses, enhancing validation concepts, and ensuring adherence to model risk standards like SR11-07. To be successful in this role, you should have an academic degree in Mathematics, Statistics, Physics, Econometrics, or a similar discipline. You should possess 2-7 years of professional experience in Operational risk and Portfolio Risk model development or validation. Strong mathematical abilities and proficiency in programming languages like Python, Matlab, R, C++, and experience in Machine Learning are essential. Additionally, you should have IT affinity, data analysis skills, and a good understanding of IT processes. The role offers benefits such as a best-in-class leave policy, gender-neutral parental leaves, reimbursement under childcare assistance benefit, sponsorship for industry relevant certifications, Employee Assistance Program, comprehensive insurance coverage, and health screening. Training and development opportunities, coaching, and a culture of continuous learning are provided to support your career growth. Deutsche Bank promotes a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. They encourage a positive, fair, and inclusive work environment where all individuals are welcome. For more information about Deutsche Bank, please visit their company website at https://www.db.com/company/company.htm.,

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Roles and responsibilities The ideal candidate should have strong communication skills to effectively engage with both technical and non-technical stakeholdersThe candidate will be responsible for developing end to end task/workflow automation pipeline using Python using wide range of data sources (both on premise and cloud)Candidate should have strong working experience is transforming excel based manual processes to fully automated python based process incorporating strong governance around itThe person should be competent in Python Programming and possess high levels of analytical skills - Data pre-processing, engineering, data pipeline development and automation In-depth knowledge of libraries such as pandas, numpy, scikit-learn, openpyxl, pyxlsb, TensorFlow, PyTorch etc.Well-versed with Python coding standards and formatting conventions to ensure maintainable, scalable, and reusable modules.Build and automate workflows using Microsoft Power Platform (Power BI, Power Apps, Power Automate).integrating systems and automating workflows using WTW Unify Knowledge of Dataiku is a plus.Apply GenAI techniques to enhance data exploration, automate content generation, and support decision-making.Ensure data quality, governance, and compliance with organizational standards.Well-versed with CI/CD pipelines using Azure DevOps (ADO) for seamless deployment and integration of data science solutions.Experience working on Posit Workbench, Posit Connect will be an added advantageStay updated with the latest trends in AI, machine learning, and data engineering.Tools/Tech experience – Mandatory – Python (Data processing, Engineering & Automation), SQL, Proficiency with version control systems like ADO/BitbucketPreferred - R programming, Posit Workbench, R Shiny Experience processing large amount of data using BigData technologies is preferredFamiliarity with Microsoft Power Platform tools.Knowledge of Dataiku is a plus.Familiarity with WTW Unify platform and its applications in analytics.Knowledge of Generative AI models and frameworks (e.g., GPT, DALL·E, Llama).Knowledge of data visualization tools and techniques is a plus Functional/Other expertiseRelevant experience: 8+ years of experience using Python programming Language for end-to-end data pre-processing, transformation and automationExperience in the Insurance domain preferred (for e.g. Finance, Actuarial) Qualifications Educational Qualification: Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or BE/B-Tech, MCA or MBA from Tier 1 institutions

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Roles and responsibilities The candidate will be responsible for developing predictive models using wide range of data sources (both structured and unstructured) The ideal candidate would be adept at understanding customer's business challenges and defineappropriate analytics approachCandidate should possess good communication and can communicate effectively with a wide range of audiences, both technical and businessAbility to accurately comprehend business requirements and being able to translate technical results into easily understood business outcomesHe / She would be responsible for creating Presentations, reports etc to present theanalysis findingsTechnical expertise The person should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models. Ideal candidate should have hands on experience using Machine Learning techniques like Clustering, Logistic regression, Random Forest, Gradient Boosting Machine, SVM, Deep learning etc.Good knowledge of model development/data wrangling experience using PythonTools experience - Python (mandatory), R (preferred)Experience processing large amount of data using BigData technologies is preferredFunctional/Other expertiseGood exposure to BFSI domain especially insuranceEducational Qualification: Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or BE/B-Tech, MCA or MBA from Tier 1 institutionsRelevant Experience: 5+ years of hands on experience in developing predictive modelsExperience with Agile project delivery methodology and knowledge of using JIRA is highly preferredPricing (Good to have)Work Experience on pricing modelling using Exposure and Experience rating methodologiesExperience in pricing tools/ raters on Excel or RulebookKnowledge on Frequency , Severity modelling and Loss cost modelling Qualifications Graduate

Job Summary: As a Manager, Growth Insights on Lowes Media Network (LMN) Insights team, you will lead the team responsible for uncovering and delivering actionable customer, category, and seasonal insights that unlock incremental growth opportunities for both Lowes and its top-tier vendor partners. In this high-impact role, you will design and scale a robust insights framework that translates complex data into compelling external-facing narratives fueling vendor sales pitches, strategic media planning, and enterprise marketing decisions. You will champion the use of advanced analytics techniques (e.g., clustering, seasonality modeling, new-to-brand analysis) to identify untapped revenue potential and help vendors "money map" new paths to growth through Lowes. Working cross-functionally with internal stakeholders and vendor partners, youll turn data into stories that drive strategic investments and elevate Lowes position as a uniquely valuable retail media partner. Reporting to LMN Insights leadership, you will combine strategic thinking, data fluency, and storytelling expertise with strong leadership and coaching abilities to guide your team and shape the future of insights-led growth across the organization. Roles & Responsibilities: Core Responsibilities: Partner with cross-functional teams including Enterprise Marketing, Digital, Finance, LMN Client Services, Insights, and Go-to-Market Monetization to uncover and activate sellable seasonal, audience, and category insights. Develop and deliver innovative, external-facing collateral that positions Lowe s and its strategic customer initiatives as market leaders in the home improvement and retail media space. Analyze and synthesize data from multiple sources, applying data visualization best practices to tell compelling, actionable stories that drive vendor engagement and investment. Define and implement a scalable strategy and cadence for producing recurring, high-impact seasonal insights, while maximizing distribution through internal and external channels. Design, execute, and summarize research studies using both qualitative and quantitative methods, customer segmentation models, and advanced analytics techniques. Collaborate with insights leadership to develop and execute a robust testing and primary research agenda that strengthens client relationships and uncovers incremental revenue opportunities. Effectively manage and coach a global team of analysts and senior analysts, overseeing work allocation, execution quality, and professional development. Socialize learning plans and research outputs with the LMN Insights Director to ensure strategic alignment, collaboration, and business impact. Monitor and incorporate competitive and market dynamics into insight deliverables, ensuring relevance and differentiation in a rapidly evolving industry landscape. Advocate for Lowe s customers by embedding a customer-first perspective into all insights, helping business partners understand and act on customer needs. Stay current with industry best practices in research, customer data tools, methodologies, and emerging technologies to enhance insight development and delivery. Promote continuous improvement by democratizing data access, optimizing workflows, and leveraging automation and technology to reduce manual tasks and increase efficiency. Years of Experience: 8-12 years Education Qualification & Certifications (optional) Required Minimum Qualifications : Bachelors Degree Business, Marketing, Finance, Statistics, Econometrics, Information Sciences, Applied Quantitative or related field Skill Set Required Primary Skills (must have) Key Skills: People Manager/Mentorship (min 2 yrs), Stakeholder Management, Marketing Analytics, Market Research, Campaign Performance, Retail Media, Campaign Optimization, CTR, ROAS, A/B Testing, Media Insights Experience in Analytics positions (retail Media Network, Digital Marketing, Customer analytics preferred) with Experience in using predictive analytics and similar concepts. Proficient in BI and analytics tools like Power BI, Tableau, SQL. Strong skills in SQL and working knowledge of databases including Teradata, Hadoop. Ability to work with large amounts of data and summarize at an executive level. Strong communication skills with the ability to tailor content to different levels across the organization using data to highlight a problem, an opportunity, or summarize performance. Self-starter with the ability to work with minimal direction and forge strong working relationships in a highly cross-functional environment to drive results. Strong statistical skills, the ability to measure isolated tests or incremental studies. Secondary Skills (desired) Experience in Retail environment Experience of working in Global environment Knowledge of machine learning and advanced analytics using tools including R and Python Experience in omni channel retail

JD 1: SIS – DQM- Data Quality team (C09) About us: AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: DQM team manages the implementation of best in class data quality measurement programs for US region, retail consumer bank. The critical areas we support: Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc DQ rules Design: Identification of critical data elements in different systems, data quality rules design, testing and validation of rules Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions DQ Score cards : Publishing monthly/quarterly score cards at product level and preparing executive summary reports for senior management Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion Expertise Required: Analytical Skills Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights (Preferred) - Tools and Platforms Good exposure to SAS or SQL Good in MS Excel Domain Skills Good understanding of Data definitions and data discovery Data quality framework Data Governance Data Warehouse Knowledge Data definitions and data discovery Data Catalog , Data Lineage and Data Dictionaries (Preferred) - Knowledge of Finance Regulations, Understanding or Retail Business Soft Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process management skills Ability to work in teams Educational and Experience: MBA / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 1 to 2 years of hands on experience in delivering data quality solutions ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Description Are you excited about delighting millions of customers by driving the most relevant marketing initiatives? Do you thrive in a fast-moving, large-scale environment that values data-driven decision making and sound scientific practices? Amazon is seeking a Data Scientist . This team is focused on driving key priorities of a)core shopping that elevates the shopping CX for all shoppers in all lifecycle stages, b) developing ways to accelerate lifecycle progression and build foundational capabilities to address the shopper needs and c)Alternate shopping models We are looking for a Data Scientist to join our efforts to support the next generation of analytics systems for measuring consumer behavior using machine learning and econometrics at big data scale at Amazon. You will work machine learning and statistical algorithms across multiple platforms to harness enormous volumes of online data at scale to define customer facing products and measure customer responses to various marketing initiatives. The Data Scientist will be a technical player in a team working to build custom science solutions to drive new customers, engage existing customers and drive marketing efficiencies by leveraging approaches that optimize Amazon’s systems using cutting edge quantitative techniques. The Right Candidate Needs To Be Fluid In Data warehousing and EMR (Hive, Pig, R, Python). Feature extraction, feature engineering and feature selection. Machine learning, causal inference, statistical algorithms and recommenders. Model evaluation, validation and deployment. Experimental design and testing. Basic Qualifications 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience 7+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience Experience with statistical models e.g. multinomial logistic regression Preferred Qualifications -Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data -Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling -Experience applying various machine learning techniques, and understanding the key parameters that affect their performance -Excellent written and verbal communication skills. Strong ability to interact, communicate, present, and influence within multiple levels of the organization. - Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products -Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects. - Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately understand cause and effect relations -Experience in creating data driven visualizations to describe an end-to-end system -Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds. -Ability to work on a diverse team or with a diverse range of coworkers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2778125

About us: Analytics Information management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: DQM team manages the implementation of best in class data quality measurement programs across globe in retail consumer bank. The critical areas we support: Regulatory Support : Execution of business data quality measurements as per regulatory programs like CCAR, AML etc Metrics Design : Identification of critical data elements in different systems, data quality rules design, Testing and validation of rules Data Governance : Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions. DQ Score cards : Publishing monthly/quarterly score cards at country level and preparing executive summary reports for senior management Issue Management : Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA Audit Support : Identifying cases on control gaps, policy breaches and providing data evidence for audit completion Expertise Required: Analytical Skills Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights (Preferred) - Tools and Platforms Proficient in SAS, SQL Proficient in MS Excel, PowerPoint and VBA Preferred - Domain Skills Good understanding of Data definitions and data discovery Data quality framework Data Governance including identification of critical data elements, measuring and monitoring of CDE’s Process improvement experience pertains to compliance and data quality initiatives Hands on experience on KPI’s design, issue resolution and remediation activities Identification of control gaps and providing recommendations as per data strategy Measuring effectiveness of different DQ roll out programs (Preferred) - Knowledge of Finance Regulations, Understanding or Retail Business Soft Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process/project management skills Ability to work well across multiple functional areas Ability to thrive in a dynamic and fast-paced environment Educational and Experience: MBA / Master degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 5 to 8 years of hands on experience in delivering data quality solutions, with at least 2 year’s experience in Banking Industry - Job Family Group: Decision Management - Job Family: Data/Information Management - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Let’s be #BrilliantTogether ISS STOXX is actively looking for a Techno Functional Business Analyst Lead to join our Data Management team in Mumbai (Goregaon East) . Overview Reference Data Management team drives a spectrum of activities related to data warehousing such as business analysis, exploratory data analysis, prototyping, relational data modeling, developing ETL logic, designing data systems, preparing requirement documents, ETL testing, data quality and metadata management, maintaining data lineage, and offering post-production support to data consumers. Together with Data Engineering team, the Reference Data Management team ensures accuracy, completeness and reliability of master and reference data warehouse that comprises of data about entities, financial instruments, ownership structure, fixed income securities, funds, market price and performance, company financials, company filings, corporate governance and numerous derived data items. This data is consumed by our client-facing data and analytics tools and research offerings. Responsibilities Act as a subject matter expert in select capital markets data domains Develop deep understanding of existing data systems, architecture, methodology, ETL logic, metadata, data quality and data lineage Develop requirements document for various data warehousing projects by leveraging domain knowledge and by employing skills in exploratory data analysis, business analysis, system design, prototyping and technical writing Develop tools, frameworks and scripts for data analytics and data/ETL testing Define and execute data/ETL testing strategy for each project while ensuring optimal test coverage Own management of data quality, metadata and lineage in select domains Collaborate with business, product, data engineering and operations teams and in-house data consumers in a global setting Recruit, coach and mentor talent, set goals and drive performance Define/enrich processes and best practices covering various activities in Data Management Qualification B.E./B.Tech. or Bachelors/Masters in Information Science/Physics/Mathematics/Statistics/Econometrics or an MCA or an equivalent 4-yr academic program well-grounded in concepts in computer science and numerical analysis Post-graduate program in finance/capital markets domain or a CFA level 2 or equivalent 6 to 9 years of experience in business analysis and/or ETL testing in capital markets domain Strong experience of data wrangling, exploratory data analysis, visual analytics, and development of utilities, frameworks or tools using Python/R and SQL Exposure to data provided by vendors such as Bloomberg, LSEG Group, Factset, S&P, Moody’s, MSCI, EDI, Morningstar, exchanges etc. Experience of project planning and management Experience of recruiting and nurturing talent, and driving performance Ability to effectively communicate and collaborate in a global setting Ability to adapt and work in a fast-paced environment with no supervision Good To Have Executive leadership training IIBA CBAP certification or equivalent Certifications in data analytics/science, business intelligence, SQL Experience in any of these areas – relational data modeling, data engineering and architecture, ETL development #MIDSENIOR #DEVELOPEMENT What You Can Expect From Us At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow—professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let’s empower, collaborate, and inspire. Let’s be #BrilliantTogether. About ISS STOXX ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. STOXX® and DAX® indices comprise a global and comprehensive family of more than 17,000 strictly rules-based and transparent indices. Best known for the leading European equity indices EURO STOXX 50®, STOXX® Europe 600 and DAX®, the portfolio of index solutions consists of total market, benchmark, blue-chip, sustainability, thematic and factor-based indices covering a complete set of world, regional and country markets. STOXX and DAX indices are licensed to more than 550 companies around the world for benchmarking purposes and as underlyings for ETFs, futures and options, structured products, and passively managed investment funds. STOXX Ltd., part of the ISS STOXX group of companies, is the administrator of the STOXX and DAX indices under the European Benchmark Regulation. Visit our website: https://www.issgovernance.com View additional open roles: https://www.issgovernance.com/join-the-iss-team/ Institutional Shareholder Services (“ISS”) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as “protected status”). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements.

Company Description CrystalVoxx is a healthcare econometrics company that provides integrated healthcare solutions, including Medical Billing and Coding Services. Based in Ahmedabad, CrystalVoxx offers services such as insurance credentialing, EDI enrollment, claims handling, and AR recovery for individual and group practices. Celebrating 14 years of experience, our process workflow ensures no step is missed, and financial performance is maximized. We specialize in billing for various healthcare domains including Chiropractic, Physical Therapy, Lab, Dental, Cardiology, and more. Role Description This is a full-time, on-site role for an AR Trainee (Fresher) in Medical Billing located in Nagpur. The AR Trainee will be responsible for tasks such as handling insurance claims, managing denials, following up on unpaid claims, and ensuring accurate billing practices. Day-to-day activities include verifying patient insurance benefits, claims scrubbing, payment posting, and AR recovery. Qualifications Basic understanding of Medical Terminology Understanding of Insurance processes, including Medicare Good communication skills in English Ability to work independently and collaboratively Bachelor's degree (Except B.Tech & B.E)

Join us as an "SM&D Electronic Trading Quant" at Barclays, where you will be responsible for designing and developing mathematical algorithms to support market analytics, execution strategies, pricing, hedging, pre/post-trade analytics, and models. Your main objective will be to create cutting-edge business logic and models to enhance electronic liquidity offerings to clients along with associated analytics. This role will encompass the entire process from requirements gathering to design, implementation, productionisation, optimization, monitoring, and support. The Statistical Modelling and Development team focuses on trading activities within the Markets division, particularly electronic trading. Your responsibilities will include developing algorithms and model-based business logic for electronic trading, applying Data Science to trading and sales activities, and utilizing underlying technology for electronic trading and Data Science applications. Electronic trading aims to provide liquidity to clients on agency and principal basis, involving electronic connections or trading. This requires the development of proprietary algorithms and trading business logic through data mining and statistical techniques. Your tasks will revolve around information extraction from market data, price formation, auto-hedging, algorithmic risk management, execution strategies, and smart order routing. To excel in this role, you should possess a graduation or masters degree from a reputable institution in a quantitative, mathematical, or scientific discipline. Hands-on experience with algorithms or eTrading business logic, strong programming skills (Python, Q/KDB & at least one of JAVA or C++), and excellent verbal and written communication skills are essential. Additionally, a strong understanding of econometrics, statistics, and machine learning tools, prior experience as a quant researcher/trader in a sell-side environment, ability to multitask and work in a dynamic environment both independently and collaboratively, logical thinking, problem-solving skills, and mathematical aptitude are desirable. Your primary purpose will be to provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain. You will apply quantitative analysis, mathematical modeling, and technology to optimize trading and investment opportunities. Your key accountabilities will include developing and implementing quantitative models and strategies, collaborating with sales teams to address clients" needs, conducting in-depth research, data analysis, and statistical modeling to derive insights, providing front office infrastructure support, and sharing expertise on quantitative methodologies and technological advancements. You will be expected to consistently deliver high-quality work, demonstrate in-depth technical knowledge and experience, understand underlying principles and concepts in your area of expertise, lead and supervise a team if applicable, and contribute to the work of related teams within the area. Your role will involve partnering with other functions and business areas, managing risk, ensuring compliance with regulations and codes of conduct, and enhancing controls related to your work. All colleagues are required to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

The Balance Sheet Management Analyst is a seasoned professional role responsible for applying in-depth disciplinary knowledge to contribute to the development of new methodologies, data processing, visualization and analysis tools, and the improvement of processes and workflows for the Balance Sheet Management function. The Balance Sheet Management modeling group within the treasury team is crucial for developing statistical and non-statistical methodologies that directly impact Citigroup's Capital. This team's work is subject to heightened regulatory focus and scrutiny, focusing on the development of models and tools for Deposit duration, Fund Transfer Pricing, Customer Pricing, and other areas used in the IRRBB and treasury space. Key responsibilities of the Analyst include end-to-end development support of statistical models covering asset classes like Deposits or Fixed Income Securities, as well as specific functions such as Asset Allocation strategy. The Analyst is expected to demonstrate analytical/statistical skills, strong communication skills for documenting and presenting work, and stakeholder management abilities to understand requirements and develop suitable models. For non-statistical modeling projects, the Analyst should showcase good analytical skills to filter, prioritize, and validate complex material from multiple sources. The detailed responsibilities involve end-to-end development and governance of models in the treasury/IRRBB space, including econometric forecasting models for key Balance sheet and income statement line items. The Analyst applies analytical thinking, statistical knowledge, and attention to detail when making judgments and analytical recommendations based on data analysis. Model governance and support include timely submission of model documentations to stakeholders. Qualifications and other Requirements: - 2-4 years of relevant statistical modeling/econometrics experience in the financial domain. - PG/Masters/PhD in quantitative disciplines such as Statistics, Economics, Mathematics, or related fields preferred. - Experience in Time Series modeling and development of models and metrics related to ALM/IRRBB. - Hands-on experience with statistical techniques such as Linear Regression, Logistic Regression, Time Series, and more. - Working knowledge of Artificial Intelligence/Machine Learning techniques and programming skills in Python. - Experience with SQL, databases, and programming languages like SAS/R. - Domain knowledge in PPNR, Fixed Income Securities, Mortgage Modeling, and other financial concepts. - Demonstrated analytical skills and ability to synthesize quantitative and qualitative data to support decision-making. - Ability to manage multiple projects and deadlines effectively. This is a full-time position based in Mumbai at a C10 job level within the Finance Job Family Group under Non-Trading Market Risk Management.,

About us: Analytics Information management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: DQM team manages the implementation of best in class data quality measurement programs across globe in retail consumer bank. The critical areas we support: Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc Metrics Design: Identification of critical data elements in different systems, data quality rules design, Testing and validation of rules Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions. DQ Score cards: Publishing monthly/quarterly score cards at country level and preparing executive summary reports for senior management Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion Expertise Required: Analytical Skills Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights (Preferred) - Tools and Platforms Proficient in SAS, SQL Proficient in MS Excel, PowerPoint and VBA Preferred - Domain Skills Good understanding of Data definitions and data discovery Data quality framework Data Governance including identification of critical data elements, measuring and monitoring of CDE’s Process improvement experience pertains to compliance and data quality initiatives Hands on experience on KPI’s design, issue resolution and remediation activities Identification of control gaps and providing recommendations as per data strategy Measuring effectiveness of different DQ roll out programs (Preferred) - Knowledge of Finance Regulations, Understanding or Retail Business Soft Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process/project management skills Ability to work well across multiple functional areas Ability to thrive in a dynamic and fast-paced environment Educational and Experience: MBA / Master degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 5 to 8 years of hands on experience in delivering data quality solutions, with at least 2 year’s experience in Banking Industry ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About The Team The Lowe’s Business Intelligence team delivers valuable insights to our Marketing partners. The team delivers quality analysis and reports that show the deep understanding of each of the campaign performance, plus helps the cross functional teams in the campaign planning process, ultimately contributing towards winning the clients and be part of insight led selling. Job Summary As a Manager, Growth Insights on Lowe's Media Network (LMN) Insights team, you will lead the team responsible for uncovering and delivering actionable customer, category, and seasonal insights that unlock incremental growth opportunities for both Lowe's and its top-tier vendor partners. In this high-impact role, you will design and scale a robust insights framework that translates complex data into compelling external-facing narratives—fueling vendor sales pitches, strategic media planning, and enterprise marketing decisions. You will champion the use of advanced analytics techniques (e.g., clustering, seasonality modeling, new-to-brand analysis) to identify untapped revenue potential and help vendors "money map" new paths to growth through Lowe's. Working cross-functionally with internal stakeholders and vendor partners, you'll turn data into stories that drive strategic investments and elevate Lowe's position as a uniquely valuable retail media partner. Reporting to LMN Insights leadership, you will combine strategic thinking, data fluency, and storytelling expertise with strong leadership and coaching abilities to guide your team and shape the future of insights-led growth across the organization. Roles & Responsibilities Core Responsibilities: Partner with cross-functional teams—including Enterprise Marketing, Digital, Finance, LMN Client Services, Insights, and Go-to-Market Monetization—to uncover and activate sellable seasonal, audience, and category insights. Develop and deliver innovative, external-facing collateral that positions Lowe’s and its strategic customer initiatives as market leaders in the home improvement and retail media space. Analyze and synthesize data from multiple sources, applying data visualization best practices to tell compelling, actionable stories that drive vendor engagement and investment. Define and implement a scalable strategy and cadence for producing recurring, high-impact seasonal insights, while maximizing distribution through internal and external channels. Design, execute, and summarize research studies using both qualitative and quantitative methods, customer segmentation models, and advanced analytics techniques. Collaborate with insights leadership to develop and execute a robust testing and primary research agenda that strengthens client relationships and uncovers incremental revenue opportunities. Effectively manage and coach a global team of analysts and senior analysts, overseeing work allocation, execution quality, and professional development. Socialize learning plans and research outputs with the LMN Insights Director to ensure strategic alignment, collaboration, and business impact. Monitor and incorporate competitive and market dynamics into insight deliverables, ensuring relevance and differentiation in a rapidly evolving industry landscape. Advocate for Lowe’s customers by embedding a customer-first perspective into all insights, helping business partners understand and act on customer needs. Stay current with industry best practices in research, customer data tools, methodologies, and emerging technologies to enhance insight development and delivery. Promote continuous improvement by democratizing data access, optimizing workflows, and leveraging automation and technology to reduce manual tasks and increase efficiency. Years Of Experience 8-12 years Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor's Degree Business, Marketing, Finance, Statistics, Econometrics, Information Sciences, Applied Quantitative or related field Skill Set Required Primary Skills (must have) Key Skills: People Manager/Mentorship (min 2 yrs), Stakeholder Management, Marketing Analytics, Market Research, Campaign Performance, Retail Media, Campaign Optimization, CTR, ROAS, A/B Testing, Media Insights Experience in Analytics positions (retail Media Network, Digital Marketing, Customer analytics preferred) with Experience in using predictive analytics and similar concepts. Proficient in BI and analytics tools like Power BI, Tableau, SQL. Strong skills in SQL and working knowledge of databases including Teradata, Hadoop. Ability to work with large amounts of data and summarize at an executive level. Strong communication skills with the ability to tailor content to different levels across the organization using data to highlight a problem, an opportunity, or summarize performance. Self-starter with the ability to work with minimal direction and forge strong working relationships in a highly cross-functional environment to drive results. Strong statistical skills, the ability to measure isolated tests or incremental studies. Secondary Skills (desired) Experience in Retail environment Experience of working in Global environment Knowledge of machine learning and advanced analytics using tools including R and Python Experience in omni channel retail Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? The Commercial Portfolio Products Development team (CPPD), within Global Commercial Services, is focused on designing and delivering a seamless digital experience that drives customer engagement as well as business growth. The Digital Capabilities team within CPPD team designs and delivers digital tools for middle market, large and global scale companies to effectively lead their Corporate Card programs. We are looking for a seasoned Product professional to join our growing team and drive development of key Commercial products . The ideal candidate will be enthusiastic about creating digital technologies to enable seamless and intuitive corporate product experiences. The individual in this role will drive the product adoption and strategic plans to launch digital features as part of the Corporate Program Product Development (CPPD) team. The candidate will exhibit strong communication and organizational skills and have a proven record of delivering value while leading multiple priorities and tight timelines. Purpose of the Role: Develop, design & deploy insights products for commercial clients providing insights and actionable recommendations to optimize their travel and expense programs . Drive efficiency and scale via automated utilities & solutions that can drive scale and enable deeper penetration of insights products to meet customer needs. Individual is preferred to bring and build T&E domain expertise, industry and business trends that s helpful in consultative discussion with key client personas. Key Responsibilities Related experience in Product Development or Product Management Conduct prototyping of insights products and services based on client needs using tools like HIVE, Python, SQL, Tableau Leverage advanced analytics to drive innovative solutions Proven history of delivering adoption of digital product Partner with technology to put offline products to scalable digital roadmap, manage end to end delivery plan and associated risk. Plan and drive the PI delivery schedule Solid understanding of user-centric design principles and agile methodologies Excellent communication, collaboration, and critical thinking skills Experience in collaborating with corporate clients and Enterprise software solutions High diligence with an eye for accuracy and controls Strong results-orientation, resourcefulness, and flexibility to overcome significant obstacles to achieve goals in a demanding environment Minimum Experience: 3-5 years of relevant work experience Prior experience in financial sector preferred and having product mindset. Expertise in programming tools Python / Hive / SQL / VBA / Tableau Knowledge and application of statistical methods Expertise in end-to-end automation of solutions Strong Client and stakeholder management; Communication skills; Presentation skills Bachelor s degree in engineering, Computer Science, Statistics, Econometrics, Mathematics, Operations Research Preferred Qualifications: Experience in payments, financial sector (any other relevant) industry preferred Experience with analytics for commercial clients / travel & expense programs / fintechs preferred Experience in digital product development / exposure to implementation of Agile/Scrum methodologies. Experience in designing scalable solutions and lead implementation of complex data product Strong program management, analytical & problem-solving skills Ability to think abstractly and deal with ambiguous/under-defined problems Functional Skills / Technical Skills Experience in product development Good Presentation skills Solution Designing Analytics, Insights & Targeting Python, HIVE, SAS, SQL, Advanced Excel Basic statistical technique and algorithms

About AQR Capital Management AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations, and sovereign wealth funds, as well as financial advisors. Job description: The Team Technology has long been essential ingredient to our success, and as an associate in quantitative research development team, you will be knee-deep in mission critical challenges that make our investment ideas a reality. Collaborating side by side with researchers and portfolio analysts, you will be responsible for designing and implementing proprietary systems and tools that drive the quantitative strategy research and systematic investing that powers AQR. Your Role As an associate in quantitative research development team, you will build or extend our: Global asset signal, data and risk estimation infrastructure incorporating millions of data points. Intuitive research APIs leveraging cloud computing and cutting-edge visualizations. High-performance historical simulation/back testing engine for vetting new alpha strategies. Bespoke technology solutions that satisfy the needs of specific asset classes and research needs Partner with not only local but also global team of research engineers for successful product delivery What You ll Bring BS/MS/PhD in Computer Science, Computational Finance, Data Science, or related discipline At least 5+ years of experience as a quantitative developer, preferably in the financial services industry. Outstanding communication, coding, debugging, and analytical skills. Strength in pragmatic design and deploying applications using Linux/Docker/Python. An interest in quantitative finance (no finance / trading experience required). Experience with Python / NumPy / pandas or similar quantitative stack is a plus. Demonstrated contributions to open-source software is also a plus. An aptitude for mathematics, finance and econometrics is desired. Who You Are Mature, thoughtful, and a natural fit for a collaborative, team-oriented culture. Hard-working and eager to learn in a fast-paced, innovative environment. Committed to intellectual integrity, transparency, and openness. Motivated by the transformational effects of technology-at-scale

About AQR Capital Management The Team Technology has long been essential ingredient to our success, and as a Quant Engineer in the Research (Portfolio Implementation) team you will be knee-deep in mission critical challenges that make our investment ideas a reality. Collaborating side by side with researchers and portfolio analysts, you will be responsible for designing and implementing proprietary systems and tools that drive the quantitative strategy research and systematic investing that powers AQR. Your Role As a Senior Quant Engineer in QRD, you will build or extend our: Portfolio Implementation systems leveraging research output, perform optimization with constraints and generate Orders. Microservices leveraging cloud computing and enabling them to run at scale. High-performance historical simulation/back testing engine for trying out various portfolio constraints Bespoke technology solutions that satisfy the needs of specific asset classes and research needs Partner with not only local but also global team of research engineers for successful product delivery What You ll Bring BE/BTech in Computer Science, Computational Finance, Data Science, or related discipline 7+ years of experience as a programmer with expertise in at least one programming language out of Python/Java/C++ Work experience as Java programmer with Python knowledge is highly desirable Ability to design elegant solutions and the ability to translate design into high quality code Good analytical and problem-solving skills Good communication skills An interest in quantitative finance (no finance / trading experience required) Experience with cloud technologies (AWS / Azure / GCP) is a plus Demonstrated contributions to open-source software is also a plus An aptitude for mathematics, finance and econometrics is desired Who You Are Mature, thoughtful, and a natural fit for a collaborative, team-oriented culture Hard-working and eager to learn in a fast-paced, innovative environment Committed to intellectual integrity, transparency, and openness Motivated by the transformational effects of technology-at-scale

Ciklum is looking for a Senior Data Scientist to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Data Scientist, become a part of a cross-functional development team working for A healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. Our client is a leader in SaaS technology for healthcare, They offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With their expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Responsibilities: Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability Work directly with business analysts and data engineers to understand and support their use cases Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members Contribute to unit’s activities and community building, participate in conferences, and provide excellence in exercise and best practices Requirements: We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit! 5+ years of development of Data Science solutions with a proven track record of leveraging analytics to drive significant business impact Bachelor's/Master's degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics or related field Proven ability to relate and solve business problems through machine learning and statistics 4+ years of experience applying various machine learning techniques: regression, classification, clustering, dimensional reduction, time series prediction, and/or outlier detection, recommendation systems Understanding of advantages and drawbacks of machine learning algorithms as well as their usage constraints including performance 4+ years of experience in Python development of machine learning solutions and statistical analysis: Pandas, SciPy, Scikit-learn, XGBoost, LightGBM, and/or statsmodels, imbalanced-learn libraries and ML libraries like scikit-learn, TensorFlow, PyTorch, data wrangling and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn Experience in working with large-scale datasets, including time series and healthcare data Experience with NLP, deep learning and GenAI Experience diving into data to consider hidden patterns and conducting error analysis 2+ years experience in data visualization: Power BI, Tableau, and/or Python libraries like Matplotlib and Seaborn Experience with SQL for data processing, data manipulation, sampling, reporting 3+ years experience creating/maintaining of OOP Machine Learning solutions Understanding of CRISP-ML(Q) / TDSP concept 1+ year of experience with MLOps: integration of reliable Machine Learning Pipelines in Production, Docker, containerization, orchestration 2+ years of experience with Clouds (AWS, Azure, GCP) and Clouds AI And ML Services(e.g. Amazon Sage Maker, Azure ML) Excellent time and project management skills, with the ability to manage detailed work and communicate project status effectively to all levels Desirable: Probability Theory & Statistics knowledge and intuition as well as understanding of Mathematics behind Machine Learning 1+ year of experience in Deep Learning solution development with Tensorflow or PyTorch libraries Data Science / Machine Learning certifications, or research experience with papers being published Experience with Kubernetes Experience with Databricks, Snowflake platforms 1+ year of BigData experience, i.e. Hadoop / Spark Experience with No-SQL, and/or columnar/graph databases What`s in it for you? Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally, and fulfil your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: India is a strategic growth market for Ciklum. Be a part of a big story created right now. Let’s grow our delivery center in India together! Boost your skills and knowledge: create and innovate with like-minded professionals — all of that within a global company with a local spirit and start-up soul. Supported by Recognize Partners and expanding globally, we will engineer the experiences of tomorrow! Be bold, not bored! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.