1115 Econometrics Jobs

As a SM&D Electronic Trading Quant at Barclays, your role involves designing and developing mathematical algorithms to support market analytics, execution strategies, pricing, hedging, pre/post trade analytics, electronic liquidity offering, and associated analytics. Your responsibilities include: - Designing and developing algorithms and model-based business logic for electronic trading in Markets. - Applying Data Science to trading and sales activities. - Working on underlying technology for electronic trading and Data Science. To be successful in this role, you should have the following qualifications: Basic/ Essential Qualifications: - Graduation or masters degree from a reputed institution in a quantitative, mathematical, or scientific discipline. - Hands-on experience with algorithms or eTrading business logic. - Strong programming skills in Python, Q/KDB, and at least one of JAVA or C++. - Excellent verbal and written communication skills. Desirable skillsets/ good to have: - Strong understanding of econometrics, statistics, and machine learning tools. - Prior experience as a quant researcher/trader with algorithms in a sell-side environment. - Ability to multitask and work in a dynamic environment individually and as part of a team. - Logical thinking, problem-solving, and mathematical skills. The purpose of your role is to provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making in the investment banking domain. Your accountabilities include: - Developing and implementing quantitative models and strategies for market trend insight, trading decisions, pricing, and risk management. - Collaborating with sales teams to identify client needs and develop customized solutions. - Conducting in-depth research, data analysis, and statistical modeling to understand market trends and risk dynamics. - Providing front office infrastructure support by owning and maintaining analytical libraries. - Offering expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation in the trading environment. As an Analyst, you are expected to perform activities in a timely manner and to a high standard consistently, driving continuous improvement. You will have an impact on related teams within your area and partner with other functions and business areas. You must take ownership of managing risk, embedding new policies/procedures, and advising on decision-making within your expertise. All colleagues at Barclays are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

The Analyst, Control Management Reporting & Analytics will support GS by managing risk and controls to ensure compliance with global legal and regulatory requirements This role will have responsibilities to support the output reporting for the Regulatory Business Self Testing (RBST) and Procedural Business Self Testing (PBST) monitoring program for GS The Analyst will also collaborate across internal teams to support data requests and partner with colleagues across GS and MIS to define reporting requirements The successful candidate will have a high level of intellectual curiosity, partnered with an eye for precision & accuracy which will allow for the flawless execution of a large, complex RBST and PBST programs and will be a key participant in our continuous journey to uplift and transform this process The Analyst: Control Management will - Act as sample management resource and will extract or export staff roster from various sources assisting inventory uploads for RBST and PBST programs Reconcile samples uploaded against those monitored on testing platform by extracting information from cornerstone and produce periodic reporting highlighting key insights Collaborate with frontline teams by preparing and sharing vacant sample reporting and resolve/manage disputes raised by team leaders Drive and deliver Regulatory/Governance reports for Testing, Compliance & Operations/Frontline teams using big data platforms (LUMI, Cornerstone), SAS/SQL, Python etc Work closely with program intake/management, business, testing and compliance teams to ensure reporting requirements are met across all functions and markets Analyze and create visualizations using Tableau, MS Excel etc Timely and accurate response for audit and regulatory requests Work to improve current processes via automation opportunities to create efficiencies Participate along with global teams evaluating processes and making suggestions for process and system improvements through knowledge and information sharing sessions with peers across the organization Required Qualifications: Bachelors/masters degree in a quantitative field preferred (eg, Statistics, Econometrics, Engineering, Mathematics, Computer Science) or MBA, advance degree preferred Strong programming/analytic skills are required (SQL, R, PYTHON, HIVE etc) Working experience in reporting (ie data visualization, Tableau, PowerBI, MS Excel) Analytical and problem-solving skills, with an ability to analyze data, identify trends, and evaluate risk scenarios effectively Experience and proven record of statistical analysis and experience in statistical modeling techniques (eg, regression, cluster analysis, segmentation) and analytics/Econometrics to effectively solve complex business problems Experience working with large datasets, ODL, identifying ingestion issues and proactively collaborating to resolve data related issues Flexibility and adaptability to work within tight deadlines and changing priorities. Ability to compile and communicate complex data analysis Desire to innovate and work on challenging projects and ability to adapt to dynamically changing environment Excellent communication skills, both verbal and written; ability to articulate business problems and implement solutions Preferred Qualifications: GS knowledge and expertise Experience working with large datasets and machine learning algorithms to develop best in class predictive modeling (including neural networks) Ability to challenge the status quo and drive continuous improvements Strong project management skills, ability to work on multiple projects, and work effectively in a team environment. We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Own the design, development, and maintenance of ongoing reports and dashboards on the key drivers of our business. Leverage analytics and visualization tools to present information in a way that drives fact-based decision making. Partner with operations/business teams to consult, develop and implement KPIs, automated reporting/process solutions. Collaborate with Business teams and data owners to maintain data integrity and compliance. Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. Manage on-time delivery of regular client/internal reports Building reports from data warehouse Review of completed reports for anomalies & discrepancies Troubleshooting data issues/discrepancies Ensure formatting & delivery parameters are met Investigate and understand the opportunities of new data sources in the context of integration into database/visualization platform. Support data cleansings & manipulation process including but not limited to: Taxonomy classification Conversion re-naming, grouping Removal of test/ghost impressions

Company Description CrystalVoxx is a healthcare econometrics company providing integrated healthcare solutions, including medical billing and coding services. Our offerings encompass provider insurance credentialing, clearinghouse configuration, EDI enrollment, ERA & EFT enrollment, patient insurance benefits verification, claims scrubbing, charge entry, payment posting, and AR recovery & denial management. With a unique process workflow, smarter analytics, and cutting-edge technology, we celebrate 14 years of experience in helping practices achieve healthy revenue cycles and improved financial performance. We serve various specialties such as chiropractic, physical therapy, lab billing, dental, cardiology, orthopedics, and more. Role Description This is a full-time, on-site role for a US Accounting Associate located in Ahmedabad. The US Accounting Associate will be responsible for preparing and managing financial statements, handling journal entries, analyzing financial data, and using accounting software. The role involves ensuring accurate record-keeping, compliance with financial regulations, and supporting financial decision-making processes with detailed analysis. Qualifications Strong skills in Financial Statements and Journal Entries (Accounting) Excellent Analytical Skills Proficiency in Finance and Accounting Software Must have experience in using quickbooks (online/desktop) Excellent written and verbal communication skills Bachelor's degree in Accounting, Finance, or related field Experience in the healthcare industry is a plus

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. 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? Within the Finance Risk Management Group in GRC, Market & Liquidity Risk is the independent risk management team covering market and liquidity risk at American Express. The team’s core responsibility is to design and execute risk measurement and controls across balance sheet management areas, including funding and liquidity risk and market risk. Roles & Responsibilities: Analyst – Market Risk Oversight will be responsible for providing independent oversight and effective challenge of Market Risk Management across American Express and American Express National Bank (AENB). This individual will work closely with senior management and business units to ensure effective identification, assessment and mitigation of market risks. Assist Manager- Market risk management in annual reviews, tracking remediation and communicating updates to key stakeholders. Minimum Qualifications Bachelor’s degree in finance, Statistics, Actuarial Science, Mathematics, Econometrics, Operations Research, or a related field. 1-2 years of experience in risk management, Treasury, or financial markets; preferably experience with asset liability management, specifically interest rate risk in the banking book (IRRBB), FX risk management, and investment risk oversight Preferred Qualifications Strong understanding of interest rate and FX risk management principles, methodologies, regulatory frameworks and key interest rate risk metrics e.g., Earning at Risk and Economic Value of Equity. Strong verbal and written communication skills. Analytical and problem-solving skills, with an ability to analyze data, identify trends, and evaluate risk scenarios effectively. Advanced proficiency in Excel and PowerPoint; experience with risk analytics tools and financial modeling is a plus. Guardian We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

About us Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with This role is based out of the Visualization Centre of Excellence (CoE) at the BCN. Visualization CoE works closely with global Bain case teams, Bain Partners and end-clients providing them data analytics and business intelligence support using advanced data analysis and visualization tools (e.g., SQL, Python, Azure, AWS, Tableau, PowerBI, Alteryx etc.). The CoE is a one-stop shop for all case requests related to converting data into insightful visualizations tools (e.g., survey analytics, leadership KPI dashboards, etc). What you’ll do Responsible for end-to-end handling of the entire process, i.e., requirement gathering, data cleaning, processing and automation Design, build, and maintain infrastructure and systems that enable the Extraction, Transformation, and Storage of large datasets for analysis Work with Bain team or end-clients as an expert on specific platform/tool/language (Snowflake/Azure/AWS/Python/SQL etc.) in individual capacity or lead teams of analysts and associates to design and deliver impactful insights Gather requirements and business process knowledge in order to transform the data in a way that’s geared towards the needs of end users Ensure that the data architecture is scalable and maintainable Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions Apply knowledge of data analysis tools like SnowPark, Azure Data Bricks, AWS Athena, Alteryx, etc. to support case teams with analysis of KPIs Solve complex custom visualization and analysis issues, providing thought leadership and business judgment Prepare documentation for further reference The working style of the team would be to support product development; hence the pipelines and algorithm built should be scalable and automated Manage internal and external stakeholders, across instruments and workstreams to provide expertise in data management and tool expertise Work under the guidance of a Team Manager / Sr. Team Manager, playing a key role in driving the team’s overall answer and final materials, client communication, work planning, and team management May also take responsibility for assigning work streams to Analysts & Associates, monitor and balance workload; Provides tool based technical expertise to the junior team members when required Deploy Data engineering solutions using CI/CD pipelines (GitHub, Cloud servers using Snowflake/Azure/AWS) Lead client/ case team calls and effectively communicate data, knowledge, insights and actionable next steps to the case team; relay implications to his/her own internal team Keep abreast of new and current statistical, database and data warehousing tools & techniques Recognize team’s development needs and consistently provide responsible feedback in all interactions via conducting performance discussions, writing reviews for appraisal etc. Assist on other team management activities (e.g. recruiting, training, etc.) About you Candidate should be a Graduate/Post-Graduate from top-tier College with strong academic records and with 5-7 years of relevant work experience in areas related to Data Management, Business Intelligence or Business Analytics. Hands-on experience in data handling and ETL workstreams Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is strongly preferred Minimum 5+ years of experience in Database development on Cloud based platform Snowflake Experience on ETL processing via SnowPark and Snowflake is a must Proficiency with Python and Advanced SQL queries, Stored procedures, query performance tuning, index maintenance, etc., Experience on Azure, AWS is a plus Candidates with advanced certifications in Snowflake will be preferred Experience of data modeling, data warehousing principles Experience in reading data from different data sources including on premise data servers, cloud services and several file formats Should be a motivated and collaborative team player, who is a role-model and at-cause individual within the team and office Must be willing to own and maintain high visibility and high impact product Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical senior stakeholders Must have ability to generate and screen realistic answers based on sound reality checks and recommend actionable solutions Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadline Good to Have: Experience in building Custom GPTs and AI Agents Knowledge of Environment creation and management Knowledge of CI/CD pipelines: GitHub, Docker, and containerization is a plus Experience in managing productized solutions is a plus What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

About us Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with This role is based out of the Visualization Centre of Excellence (CoE) at the BCN. Visualization CoE works closely with global Bain case teams, Bain Partners and end-clients providing them data analytics and business intelligence support using advanced data analysis and visualization tools (e.g., SQL, Python, Azure, AWS, Tableau, PowerBI, Alteryx etc.). The CoE is a one-stop shop for all case requests related to converting data into insightful visualizations tools (e.g., survey analytics, leadership KPI dashboards, etc). What you’ll do Responsible for designing, building, and maintaining infrastructure and systems that enable the Extraction, Transformation, and Storage of large datasets for analysis Work with Bain team or end-clients as an expert on specific platform/tool/language (Azure/AWS/Python/SQL etc.) in individual capacity or lead teams of analysts to design and deliver impactful insights Support project lead in end-to-end handling of the entire process, i.e., requirement gathering, data cleaning, processing and automation Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions Ensure that data architecture is scalable and maintainable Apply knowledge of data analysis tools like Azure Data Bricks, AWS Athena, Alteryx, etc. to support case teams with analysis of KPIs Prepare documentation for further reference The working style of the team would be to support product development; hence the pipelines and algorithm built should be scalable and automated Support case leads in managing internal and external stakeholders, across instruments and workstreams to provide expertise in data management and tool expertise Work under the guidance of a Team Lead / Team Manager / Sr. Team Manager, playing a key role in driving the team’s overall answer and final materials, client communication, work planning, and team management May also take responsibility for assigning work streams to Analysts, monitor workload; Provides tool based technical expertise to the junior team members when required May deploy Data engineering solutions using CI/CD pipelines (GitHub, Cloud servers using Azure/AWS) May lead client/ case team calls and communicate data, knowledge, insights and actionable next steps to the case team; relay implications to his/her own internal team Keep abreast of new and current statistical, database and data warehousing tools & techniques About you Candidate should be a Graduate/Post-Graduate from top-tier College with strong academic records and with 3-5 years of relevant work experience in areas related to Data Management, Business Intelligence or Business Analytics. Hands-on experience in data handling and ETL workstreams Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is strongly preferred Minimum 2+ years of experience in Database development on Cloud based platforms such as AWS/Azure Working Experience with Python and Advanced SQL queries, Stored procedures, query performance tuning, index maintenance, etc., Experience of data modeling, data warehousing principles Experience on ETL tools in anyone of the tools like Azure Datafactory, Databricks, AWS Glue etc. Experience in reading data from different data sources including on premise data servers, cloud services and several file formats Understanding of database architecture Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadlines Should be a motivated and collaborative team player, who is a role-model and at-cause individual within the team and office Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical senior stakeholders Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadlines Good to Have: Exposure to CI/CD pipelines: GitHub, Docker, and containerization is a plus Candidates with advanced certifications in AWS and Azure will be preferred Experience on Snowflake/GCP is a plus What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

Who We Are Bain & Company is a global management consulting that helps the world’s most ambitious change-makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. Who You’ll work with This role is based out of the Visualization Centre of Excellence (CoE) at the BCN. Visualization CoE works closely with global Bain case teams, Bain Partners and end-clients providing them data analytics and business intelligence support using advanced data analysis and visualization tools (e.g., SQL, Python, Azure, AWS, Tableau, PowerBI, React, NodeJS etc.). The CoE is a one-stop shop for all case requests related to converting data into insightful visualizations tools (e.g., survey analytics, leadership KPI dashboards, etc). What You Will Do Write complex code to develop scalable, flexible, user-friendly applications across a robust technology stack Construct, test, install, and maintain database and backend for software products Optimize web applications for maximum speed and scalability Contribute to the planning for acceptance testing and implementation of new software, performing supporting activities to ensure that customers have the information and assistance they need for a successful implementation. Develop secure and highly performant services and API Evaluate potential technologies for adoption, including open-source frameworks, libraries, and tools Ensure the maintainability and quality of code Support project lead in end-to-end handling of the entire process, i.e., requirement gathering, data cleaning, processing and automation Gather requirements and business process knowledge in order to plan for the best in class user experience Ensure that the front end architecture is scalable and maintainable Investigate data and code to identify potential issues with source data, notify end-users and propose adequate solutions Prepare documentation for further reference The working style of the team would be to support product development; hence the codebase and algorithm built should be scalable and automated Work under the guidance of a Team Manager / Sr. Team Manager, playing a key role in driving the team’s overall answer and final materials, client communication, and work planning Lead client/ case team calls and effectively communicate data, knowledge, insights and actionable next steps to the case team; relay implications to his/her own internal team Keep abreast of new and current front end development tools & techniques About You Candidate should be a Graduate/Post-Graduate from top-tier College with strong academic records and with 3-5 years of relevant work experience in areas related to front end development Strong proficiency in Experience with TypeScript and TypeScript frameworks such as React or Angular Proficient in HTML5, CSS3, and JavaScript (ES6+) Experience with state management libraries (e.g., Redux, Context API, or MobX) Familiarity with modern front-end build pipelines and tools (e.g., Webpack, Babel, Vite) Experience with RESTful APIs and integrating back-end services. Understanding of responsive and adaptive design principle Should be a motivated and collaborative team player, who is a role-model and at-cause individual within the team and office Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical senior stakeholders Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadlines Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics is strongly preferred Knowledge of testing frameworks (e.g., Jest, React Testing Library, Cypress) is a plus Familiarity with design systems and tools like Figma or Sketch is a plus Exposure to CI/CD pipelines and version control systems like Git is a plus Experience with GraphQL is a plus is a plus What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

Job Scope: Citi’s Analytics & Information Management (AIM) group has a partnership with Enterprise Data Office (EDO) group. As the USPB Data Lending Domain lead, oversee the team expansion within tight timelines, come up with standardized & measurable delivery frameworks and deliver on the business priorities for the year. It is imperative for this leader to bring agility, consistency, speed of deployment, innovation and a governance process through centralized and extensive analytics driven framework. This is a highly visible & challenging role, with direct impact on the bank’s Consent Order milestones and commitments. What do we offer? AIM USPB Data team would manage the implementation of best-in-class data quality measurement programs across globe. The critical areas we support: Regulatory Support: Creation and 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. Adapting of data governance tools and data management policy implementation 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 and creation of plan for resolution as per SLA Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion. Compliance: Creation of automation solutions and elimination of manual steps as per compliance standards Key Deliverables: Work closely with Business Stakeholders to set the priorities for the team, convert those goals into actionable with a clearly defined delivery plan and outcomes. Expand the team into a robust multi-site model (Bangalore and Chennai) with a thorough Continuity of Business (CoB) in place Ensure all processes follow a standard technology-approved SDLC complaint methodology through the adoption of tools like JIRA and BitBucket Expand scope of Data Quality as a discipline. Partner with other AIM teams to expand scope of CDE measurement and increase usage of data quality certified CDE in critical processes Ensure adherence to strict Project Management discipline through periodic reviews Analyze and understand the Data Strategy. Drive project reviews to ensure alignment with the Data Strategy. This will include quickly learning details of multiple business processes especially concerning data usage and movement. This also includes the ability to think laterally and flexibly to understand business needs and opportunities as compared to current state and discuss/brainstorm these situations with business and technology partners. Must be able to break down complex problems, question assumptions and be comfortable making high impact decisions with limited information and some degree of uncertainty. Ensure compliance with Citi Data Management Policy. Drive acceptance of data standards and policies in each assigned product and region Responsible for comprehensive Data Governance for assigned product in a region. Define policies, procedures, and processes for cleaning, mastering, governing, and documenting data for the assigned product in a region. Review all data assets to identify Critical Data Elements (CDEs) and socialize these with the wider organization. Implement controls, identify Trusted Sources, provide monitoring and build/review scorecards. Monitor key data management and governance metrics to ensure the accuracy and completeness of the critical data within their domain(s). Profile the data and define appropriate data quality rules especially for critical attributes to ensure reliable data. Accountable to ensure that all data quality issues are addressed reliably and in a timely fashion as per Citi’s processes. Participate in root cause analysis, coordinate with stakeholders, facilitate communication across Business, Operations and Technology and assume responsibility for end to end resolution Responsible for identifying and managing trusted sources of data sets while guiding users and application development to use them Provide recommendations and supporting documentation for new or proposed data standards, business rules and policy Provide advice on various projects and initiatives to ensure that any data related changes and dependencies are identified, communicated and managed to ensure adherence with the Data Governance established standards. Drive creation of current state process maps beginning with transaction inception all the way through to management and regulatory reporting. Drive the creation of target state process maps. Identify all reference data and master data used or created within the processes, and confirm corresponding business controls. Document data/system lineage and data tracing through all “hops” for each business process and coordinate with Technology to create corresponding Lineage toolset. Manage technical metadata requirements and inputs related to Business CDEs and coordinate Lineage tasks and test activities between Business, Operations and Technology. Manage all Business Glossaries Help identify the need for enterprise-level data standards based on strategic business objectives and the evolution of enterprise-level capabilities and analytical requirements Collaborate across the organization to ensure consistent and effective execution of data governance and management principles across GCB analytical systems and data domains. Drive alignment of Business/Operational Processes with firm wide Risk and Controls initiatives Timely resource hiring and onboarding Qualifications And Competencies MBA / Masters 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 15+ years’ experience in areas of financial services technology, data governance & delivery management 8+ years of experience in formal Data Governance within a global company; Strong data management background who understands data, data architecture, how to ingest data, process data, consume data, data quality, and stewardship. 8+ years of experience working in data management with Code mining, Data Mining, Visual data Lineage, System to system Lineage as Information Steward. 3+ years of experience leading/managing a large data team. Extremely proficient in SQL queries, data analysis and profiling, data quality monitoring rules and data quality issues resolution. Experience in using a Data Visualization tool like Tableau a strong plus. Must have excellent analytical and business skills Strong knowledge and understanding of master data elements and processes per the necessary in-scope data domains, specifically Finance and Risk Demonstrate a high level of motivation, strong work ethic and self-starting attitude with a bias for speed and execution Demonstrate ability to lead and multi-task, problem-solve, make decisions and operate in a fast-paced environment. Must be a collaborative person who listens effectively and invites response and discussion. Must possess good negotiation skills. Excellent organization skills and attention to detail Must be able to exercise independent thinking and good judgment under all circumstances. Demonstrate versatility and a willingness to work with constantly changing priorities with enthusiasm. Strong Communication Skills/Able to Persuade/Influence Others at all Organization Levels and the ability to foster lasting partnerships. ------------------------------------------------------ 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.

Who We Are Bain & Company is a global management consulting that helps the world’s most ambitious change-makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. Who You’ll Work With This role is based out of the Visualization Centre of Excellence (CoE) at the BCN. Visualization CoE works closely with global Bain case teams, Bain Partners and end-clients providing them data analytics and business intelligence support using advanced data analysis and visualization tools (e.g., SQL, Python, Azure, AWS, Tableau, PowerBI, React, NodeJS etc.). The CoE is a one-stop shop for all case requests related to converting data into insightful visualizations tools (e.g., survey analytics, leadership KPI dashboards, etc). What You Will Do Write complex code to develop scalable, flexible, user-friendly applications across a robust technology stack Construct, test, install, and maintain database and backend for software products Optimize web applications for maximum speed and scalability Contribute to the planning for acceptance testing and implementation of new software, performing supporting activities to ensure that customers have the information and assistance they need for a successful implementation. Develop secure and highly performant services and API Evaluate potential technologies for adoption, including open-source frameworks, libraries, and tools Ensure the maintainability and quality of code Support project lead in end-to-end handling of the entire process, i.e., requirement gathering, data cleaning, processing and automation Gather requirements and business process knowledge in order to plan for the best in class user experience Ensure that the front end architecture is scalable and maintainable Investigate data and code to identify potential issues with source data, notify end-users and propose adequate solutions Prepare documentation for further reference The working style of the team would be to support product development; hence the codebase and algorithm built should be scalable and automated Work under the guidance of a Team Manager / Sr. Team Manager, playing a key role in driving the team’s overall answer and final materials, client communication, and work planning Lead client/ case team calls and effectively communicate data, knowledge, insights and actionable next steps to the case team; relay implications to his/her own internal team Keep abreast of new and current front end development tools & techniques About You Candidate should be a Graduate/Post-Graduate from top-tier College with strong academic records and with 3-5 years of relevant work experience in areas related to front end development Strong proficiency in Experience with TypeScript and TypeScript frameworks such as React or Angular Proficient in HTML5, CSS3, and JavaScript (ES6+) Experience with state management libraries (e.g., Redux, Context API, or MobX) Familiarity with modern front-end build pipelines and tools (e.g., Webpack, Babel, Vite) Experience with RESTful APIs and integrating back-end services. Understanding of responsive and adaptive design principle Should be a motivated and collaborative team player, who is a role-model and at-cause individual within the team and office Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical senior stakeholders Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadlines Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics is strongly preferred Knowledge of testing frameworks (e.g., Jest, React Testing Library, Cypress) is a plus Familiarity with design systems and tools like Figma or Sketch is a plus Exposure to CI/CD pipelines and version control systems like Git is a plus Experience with GraphQL is a plus is a plus What Makes Us a Great Place To Work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Summary As an AI Data Scientist on the Risk Modeling Services (RMS) team, you will contribute to our growing expertise in developing, validating, and testing quantitative analytics and artificial intelligence models across sectors such as insurance, financial markets, and real estate. You’ll collaborate with data scientists, data engineers, and computer scientists focused on AI, generative AI, and econometric/statistical modeling R&D, all working to build advanced analytical techniques that help our clients optimize operations and achieve strategic goals. The ideal candidate has significant experience building AI and econometric/statistical models, as well as leading technical teams with STEM backgrounds. You take a first principles approach to problem-solving and foster academic rigor, guiding junior team members toward clear, concise, and accurate solutions. As a strategic advisor, you use your expertise, influence, and network to deliver high-quality results. You motivate and coach others, collaborate effectively to solve complex problems, and demonstrate sound judgment—knowing when to act independently and when to escalate. You’re expected to think critically, communicate clearly, and bring structure to complexity. Your commitment to building high-performing, diverse, and inclusive teams contributes meaningfully to the firm’s success. Job Description What does this role entail? Lead the development of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS). Apply econometric modeling techniques such as generalized linear models (GLMs), time series analysis, and semi-parametric models (e.g., fractional response models). Utilize machine learning models including XGBoost, random forests, and support vector machines. During the development, validation, and monitoring of models, ensure compliance with model-related regulatory requirements and standards such as SR 11-7, Colorado SB21-169, NIST, ISO 42001, and the NAIC Model Bulletin. Experience with programming languages and environments such as Python, R, Databricks, and React. Enforce DevOps best practices, including version control (Git), CI/CD, test automation, infrastructure as code, system monitoring, and cross-functional collaboration. Design, develop, and deploy AI models in real-world client and business environments. Monitor and research emerging AI trends, fostering an agile, forward-looking development environment. Manage teams and engage with clients to process structured and unstructured data to improve business processes, workflows, and decision-making. Lead documentation and technical analysis efforts for validators, auditors, and regulators; clearly communicate complex concepts to non-technical stakeholders. Direct cross-functional teams—data engineers, architects, and data scientists—to deliver efficient, high-quality solutions aligned with client needs. Mentor and manage associates and senior associates through coaching, performance feedback, and hands-on guidance. Drive business development efforts, including managing the technical sales cycles and the client proposal process. Lead the development of internal GenAI assets and foundational capabilities to grow the firm’s practice. Qualifications Minimum Educational Qualifications: A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or another related technical field. Credentials - Good To Have A master's degree or PhD in a related field from a premium institute is preferred but is not required. Min years of Experience Requirement (Credential) - 8 years

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Assistant Manager/Manager, Model Validation In this role, you will be responsible for model development, implementation & documentation - for a BFS client in North America. Responsibilities You will be working with the independent model validation function of a large banking client and will involve end-to-end validation of risk and regulatory models across business functions, and development of challenger models as necessary. Your activities will include, but will not be limited to the following: Independent model validation, especially comprehensive model validation within 2nd line of defense, using SR 11-7 or similar guidelines Exhaustive model validation will include conceptual assessment of model’s use, methodology, assumptions, limitations and on-going monitoring and control, model’s outcome analysis Development of benchmark models may be required. Assessment of the model monitoring and implementation process. Assessment of the model calibration techniques Prepare model validation report summarizing findings and provide recommendations Qualifications we seek in you! Minimum Qualifications / Skills Post-graduate degree / diploma in any of Statistics, Mathematics, Economics / Econometrics, Physics from reputed institutes with courses in Financial Engineering or FRM / CQF Level 1 Undergraduate degree in Engineering from reputed institutes with courses in Financial Engineering or FRM / CQF Level 1 Relevant experience in Banking or Capital Markets, with experience in market risk model validation. Good understanding and experience in at least one of the regulatory risk modeling / validation guidelines – SR 11-7, FRTB, Stress Testing, Basel III IMA, CAR: Chapter 9,etc. Exposure to any treasury system such as Murex, Calypso, etc. or market data providers such as Bloomberg and Reuters. Knowledge of VaR , Expected Shortfall or Counterparty Credit Risk modelling. Knowledge of product valuation in any of Fixed Income or Derivatives Knowledge of stochastic models such as Black Scholes, Hull & White, SABR etc ) will be added advantage. Working knowledge of Excel, Python/R in this field. Good communication/presentation skills – written & verbal Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision Preferred Qualifications/ Skills Strong networking, negotiation and influencing skills Some understanding and experience in at least one of the regulatory risk modeling/validation guidelines – SR 11-7, FRTB etc Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Manager Primary Location India-Gurugram Schedule Full-time Education Level Master's / Equivalent Job Posting Sep 12, 2025, 9:19:59 AM Unposting Date Ongoing Master Skills List Operations Job Category Full Time

Roles & Responsibilities Eligibility Minimum Qualifications Bachelor’s degree in computer science or a related field OR master’s degree in statistics, economics, business economics, econometrics, or operations research. 7-10 years of experience in the Analytics/Data Science domain. Proficiency in programming languages such as Python. Experience with Generative AI techniques and tools. Familiarity with ETL methods, data imputation, data cleaning, and outlier handling. Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services. Knowledge of databases and associated tools such as SQL. Technical Skills – Desirable Expertise in NLP and Generative AI concepts/methods/techniques like — Prompt design/engineering — Retrieval Augmented Generation (RAG), Corrective RAG and Knowledge Graph-based RAG using GPT-4o — Fine-tuning through LORA/QLORA — Multi-agentic frameworks for RAG — Reranker etc. for enhancing the plain-vanilla RAG — Evaluation frameworks like G-Eval etc. Strong understanding of Deep Learning methods and Machine Learning techniques including Ensemble methods, Support Vector Machines, and Natural Language Processing (NLP). Exposure to Big Data technologies like Hadoop, Hive, Spark. Experience with advanced reporting tools such as Tableau, Qlikview, or PowerBI. Specific Responsibilities Requirement Gathering: — Translate business requirements into actionable analytical plans in collaboration with the team. — Ensure alignment of analytical plans with the customer’s strategic objectives. Data Handling: — Identify and leverage appropriate data sources to address business problems. — Explore, diagnose, and resolve data discrepancies, including ETL tasks, missing values, and outliers. Project Leadership and Execution: — Individually lead projects, proof-of-concept (POC) initiatives, or development efforts from inception to completion. — Contribute to the development and refinement of technical and analytics architecture, ensuring it aligns with project and organizational goals. — Design and implement scalable and robust analytical frameworks and data pipelines to support advanced analytics and machine learning applications. — Manage project timelines, resources, and deliverables, coordinating with cross-functional teams to achieve project goals. — Ensure the delivery of production-ready models and solutions, meeting quality and performance standards. — Monitor success metrics to ensure high-quality output and make necessary adjustments. — Create and maintain documentation/reports. Mentoring and Team Development: — Mentor junior data scientists, providing guidance on technical challenges and career development. — Facilitate knowledge sharing within the team, promoting best practices and fostering a collaborative environment. — Conduct code reviews to ensure high-quality, maintainable, and efficient code. Innovation and Best Practices: — Stay informed about new trends in Generative AI and integrate relevant advancements into our solutions. — Implement novel applications of Generative AI algorithms and techniques in Python. — Evaluate and adopt best practices in AI/ML development to enhance the effectiveness and efficiency of our solutions. Sample Projects GenAI-powered self-serve analytics solution for a global technology giant, that leverages the power of multi-agent framework and Azure OpenAI services to provide actionable insights, recommendations, and answers to tactical questions derived from web analytics data. GenAI bot for querying on textual documents (e.g., retail audit orientation, FAQ documents, research brief document etc.) of multinational dairy company and, and getting personalized responses in a natural and conversational way, based on the structured context of the user (like their personal details), along with the citations, so that one can effortlessly carry out their first-hand validation themselves GenAI bot for querying on tabular dataset (like monthly KPI data) of leading global event agency to understand, process natural language queries on the data and generate appropriate responses in textual, tabular and visual formats. GenAI-powered advanced information retrieval from structured data of a global technology leading organization TimesFM modelling for advanced time series forecasting for a global retail chain Knowledge-Graph-based GenAI solution for knowledge retrieval and semantic summarization for a leading global event agency GenAI-powered shopping assistant solution for big-box warehouse club retail stores GenAI solution using multi-agentic framework for travel-hospitality use case Input Governance and Response Governance in GenAI Solutions Development and implementation of evaluation frameworks for GenAI solutions/applications Training Foundational Models on new data using open-source LLM or SLM Experience 8-11 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Data Science, GenAI Fundamentals About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

Role Overview: As a Quant Analyst, AVP at Deutsche Bank in Mumbai, India, you will be part of the Strategic Analytics team, which plays a central role in the bank's Investment Bank, Corporate Bank, and Risk and Control functions. Your primary responsibility will be to develop a scalable Front Office pricing and risk management system to ensure consistency in analytics and technology platform across different bank units. Key Responsibilities: - Collaborate with teams in London, New York, and Frankfurt on quantitative and regulatory projects - Understand business problems, gather necessary information, and provide optimized solutions on a scalable platform - Implement projects using Python and C++ programming languages - Communicate effectively with stakeholders globally - Develop complex processes, risk analysis frameworks, and enhancements - Measure market risks across the bank and design automated, scalable solutions - Coordinate with stakeholders to understand business requirements and design databases - Develop applications and libraries for solution implementation - Remediate regulatory and internal findings related to risk models - Ensure quality assurance through reviews Qualification Required: - At least 4 years of experience in Python/C++ programming - Strong knowledge of OOPs concepts, data structures, and pulling data from market sources - Ability to independently address weaknesses identified by regulators and auditors - Excellent communication and presentation skills - Strong problem-solving and analytical skills - Educational background in Engineering/Science, Economics, Statistics, or related fields from reputable institutions (e.g., IIT, NIT, ISI) - Knowledge of financial instruments, pricing models, and risk models - Experience with applied econometrics and certification courses like CFA/FRM/CQ would be a plus Additional Details: Deutsche Bank promotes a culture of continuous learning, offers training and development opportunities, coaching from experts, and a range of flexible benefits to support your career growth. The company values responsibility, commercial thinking, initiative, and collaboration to excel together every day. For more information about Deutsche Bank and its teams, please visit their website: [Deutsche Bank Website](https://www.db.com/company/company.htm),

Morgan Stanley Market Risk Stress Testing - Analyst / Associate Profile Description We’re seeking someone to join our team as a [Analyst/ Associate] to [Market Risk Stress Testing team] Firm Risk Management In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyze and monitor risks and lead key regulatory initiatives. Company Profile Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Role & Responsibilities What you’ll do in the role: Portfolio Analysis using scenarios and estimation techniques, creating risk summaries, and presenting risk updates to senior management. Suggest methodology enhancements in greek estimations to improve their accuracy. Work with risk managers across asset classes to understand their requirements and showcase the new tools and enhancements being made available to them by the team. Participate in designing topical scenarios to estimate stress losses and make risk management processes more robust. Be part of various projects towards improvements/efficiencies of Market risk data infrastructure. Design and implement a broad range of scenarios for Firm-wide risk management. Contribute in the design and implementation of frameworks and procedures to ensure Stress Testing framework exceeds high internal standards Stay abreast of market trends, emerging risks, and macro-economic themes. Continue to enhance the Firms' stress testing frameworks to ensure best-in-class capabilities. Clearly communicate requirements to subject matter experts in our Technology team. Qualifications/Skills Required What you’ll bring to the role: To be successful, candidates will benefit from relevant experience, a strong desire to lean and the ability to work in a small specialized team. 2-5 years of experience preferably in Market Risk management. Good Understanding of risk management concepts and financial products across asset classes. Understanding of market dynamics and macro-economic themes. Balance between regular and development / ad-hoc related tasks. Excellent writing and presentation skills to effectively communicate with senior management. Proficiency in SQL and MS Office (excel, word and power point). Strong quantitative skills acquired from disciplines such as engineering, statistics/econometrics, or finance. Ability to work in a small team environment, building and maintaining a network of contacts and coordinating with multiple stakeholders Prior stress testing or VaR experience. Familiarity with programming languages such as R/Python. FRM/CFA or any other relevant certification course. Quantitative skills with respect to macro-economic model What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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

1. Context The role holder will lead research initiatives on the prevention of Child Sexual Abuse (CSA), ensuring evidence-based program development, policy recommendations, and government partnership efforts. This role involves designing and implementing research studies, analysing data, and disseminating findings to strengthen Arpan s interventions. Associate Director Research, Monitoring and Evaluation | Assistant Manager / Manager Research and Evaluation 3. Key Objectives of the Job To provide methodological, research and evidence-based support to Arpan s Research and Programme evaluation design, implementation, analysis, reporting, and dissemination 4. Major Deliverables Lead and manage assigned internal and external research projects and evaluation independently Design and pilot quantitative, qualitative and mixed method surveys in collaboration with other teams. Conduct advanced data analysis using statistical software packages of programme and research data to inform programme design, implementation and strategy. Engage with external research agencies to ensure conduct of quality research and follow ethical protocols. Perform data quality checks for internal and external research projects. Write high quality reports and review internal and external stakeholders reports. Conduct literature reviews and keep abreast of findings from relevant research. Ensure preparation, maintenance and updation of Arpan s research knowledge databases. Undertake other administrative duties related to research projects, such as participating in internal meetings, arranging and coordinating dissemination of research reports, and maintaining research documents. 5. Job Challenge Managing both internal and external research projects simultaneously while ensuring quality and timeliness can be challenging. Ensuring accuracy and reliability of data from multiple sources, especially when working with external agencies or large-scale surveys. Conducting advanced data analysis and deriving meaningful insights, particularly when dealing with complex datasets. Ensuring external research partners adhere to high-quality standards, timelines, and ethical protocols. Coordinating with programme, communications, and M&E teams to align research with organizational goals while managing differing expectations. 6. Specialized job competencies Demonstrated experience on quantitative methodologies and data analysis using statistical tools (SPSS, STATA, R, NVivo, Survey CTO etc.) is a must. Experience in experimental / quasi-experimental research studies (e.g. RCT, RDD, PSM designs) would be an advantage. Hands-on experience of overseeing primary data collection, ensuring ethical considerations and child protection protocols. Ability to communicate technical topics to internal and external audiences in clear, simple and compelling manner both verbally and in writing. Interpret research findings to inform program strategies, training modules, and government partnership, fundraising efforts. Masters s degree in any developmental, statistical, population studies, with graduate-level coursework on statistics, econometrics, impact evaluation, and economic development. 8. Desired Experience Minimum 4 to 5 years of experience in quantitative research in development sector. Prefer candidates with exposure to child protection, child sexual abuse and/or similar areas of work. 9. Other desired attributes Experience conducting literature searches (e.g. through Google Scholar alerts, research circulars, etc) and summarizing complex academic papers and non-academic reports into key findings/talking points in straightforward, non-technical language. Predict and oversee risks and deliver on time and to budget. Strong power point presentation skills is a requisite.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Join Our Team and let's lead the way together. How will you make an impact in this role? As part of the Global Servicing (GS), the Control Management team is primarily focused on – · Safeguarding the Company’s brand and assets · Driving adherence to internal policies · Meeting regulatory expectations while balancing the execution of key business strategies The Team collaborates across key stakeholders to drive the necessary controls and oversight, enabling GS stakeholders to set the standard for a seamless and differentiated customer experience. The Analyst, Control Management Reporting & Analytics will support GS by managing risk and controls to ensure compliance with global legal and regulatory requirements. This role will have responsibilities to support the output reporting for the Regulatory Business Self Testing (RBST) and Procedural Business Self Testing (PBST) monitoring program for GS. The Analyst will also collaborate across internal teams to support data requests and partner with colleagues across GS and MIS to define reporting requirements. The successful candidate will have a high level of intellectual curiosity, partnered with an eye for precision & accuracy which will allow for the flawless execution of a large, complex RBST and PBST programs and will be a key participant in our continuous journey to uplift and transform this process. Responsibilities: The Analyst: Control Management will - Act as sample management resource and will extract or export staff roster from various sources assisting inventory uploads for RBST and PBST programs Reconcile samples uploaded against those monitored on testing platform by extracting information from cornerstone and produce periodic reporting highlighting key insights Collaborate with frontline teams by preparing and sharing vacant sample reporting and resolve/manage disputes raised by team leaders Drive and deliver Regulatory/Governance reports for Testing, Compliance & Operations/Frontline teams using big data platforms (LUMI, Cornerstone), SAS/SQL, Python etc Work closely with program intake/management, business, testing and compliance teams to ensure reporting requirements are met across all functions and markets Analyze and create visualizations using Tableau, MS Excel etc Timely and accurate response for audit and regulatory requests Work to improve current processes via automation opportunities to create efficiencies Participate along with global teams evaluating processes and making suggestions for process and system improvements through knowledge and information sharing sessions with peers across the organization Required Qualifications: Bachelor's/master’s degree in a quantitative field preferred (e.g., Statistics, Econometrics, Engineering, Mathematics, Computer Science) or MBA, advance degree preferred Strong programming/analytic skills are required (SQL, R, PYTHON, HIVE etc) Working experience in reporting (i.e. data visualization, Tableau, PowerBI, MS Excel) Analytical and problem-solving skills, with an ability to analyze data, identify trends, and evaluate risk scenarios effectively Experience and proven record of statistical analysis and experience in statistical modeling techniques (e.g., regression, cluster analysis, segmentation) and analytics/Econometrics to effectively solve complex business problems Experience working with large datasets, ODL, identifying ingestion issues and proactively collaborating to resolve data related issues Flexibility and adaptability to work within tight deadlines and changing priorities. Ability to compile and communicate complex data analysis Desire to innovate and work on challenging projects and ability to adapt to dynamically changing environment Excellent communication skills, both verbal and written; ability to articulate business problems and implement solutions Preferred Qualifications: GS knowledge and expertise Experience working with large datasets and machine learning algorithms to develop best in class predictive modeling (including neural networks) Ability to challenge the status quo and drive continuous improvements Strong project management skills, ability to work on multiple projects, and work effectively in a team environment. ORMCM We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Highlight of the engagement opportunity Nature of role: Full time internship (6-12 months) with option to convert Number of years of experience expected: 0-2 years Areas of past experience preferred: Quantitative modelling, Risk Management Educational qualification expected: Graduate/ Pursuing graduation Additional qualifications/ certifications required: None Minimum actuarial papers: Actuary certifications / degrees Preferred geography of previous work experience: India / Europe / APAC / US Language requirements: Ability to write and speak fluently in English Application experience preferable: Python, Advanced excel, PowerPoint Location: Mumbai, Goa Key responsibility areas: Work with engagement teams to deliver on functionalities related to asset liability management, interest rate risk in banking book, behavioral modelling, Pillar 1 risks (Market Risk, Credit Risk, Operational Risk), Pillar 2 Risks (ICAAP), fund transfer pricing and profitability analysis on our proprietary application suite for Balance Sheet Management. Build python and excel models on risk analysis to validate models and assist with client user acceptance testing. Develop end to end functionalities for modelling macro-economic factors and marketprices like Interest rate, Credit Spread, FX, Commodities and Volatility. Validate cashflow, valuation and sensitivity models using excel / python for banking and derivative products. Develop project execution and product collaterals. Adhere to development standards and protocols mandated by product organization. Other important information: Work permit requirements: Either Indian Citizen or having valid work permit to work in India Period of engagement: Full-time position Probation period: 6 months Compensation: Compensation varies depending on the skill, fitment and role played by the person. Compensation discussions will take place post the selection process. Leave: 22 working days a year. Additional leaves for national holidays, sick leaves, maternity and paternity, bereavement and studies vary based on the city and country of engagement. Other benefits: Other employment benefits including medical insurance will be informed during the compensation discussion. Career growth for full-time roles: Acies believes in a transparent and data-based performance evaluation system. You are encouraged to clarify any questions you have with respect to career growth with Acies personnel you interact with during the selection process. Selection process: We seek to be transparent during the selection process. While the actual process may vary from the process indicated below, the key steps involved are as follows: Interview: There are expected to be at least 2-3 rounds of interviews. The number of interview rounds may increase depending on the criticality and seniority of the role involved. Final discussion on career and compensation: Post final selection, a separate discussion will be set up to discuss compensation and career growth. You are encouraged to seek any clarifications you have during this discussion. Preparation required: It is recommended that you prepare on the following aspects before the selection process: Demonstrate knowledge of Banking risks and quantification Demonstrate knowledge of Basel accordson Banking risk management Demonstrate proficiency in financial instrument valuation and risk assessment Demonstrate proficiency in statistical, econometrics and time seriesanalysis Demonstrate proficiency in use of back-end server-side languages like Python and database like MSSQL and PostgreSQL For any additional queries you may have, you can send a LinkedIn InMail to us, connect with us at https://www.acies.consulting/contact-us.php or e-mail us at careers@acies.holdings. How to reach us: Should you wish to apply for this job, please reach out to us directly through LinkedIn or apply on our website career page - https://www.acies.consulting/careers-apply.html

Join us as a "SM&D Electronic Trading Quant" at Barclays As a quant researcher, the person would be responsible for designing and developing mathematical algorithms to underpin our market analytics, execution strategies and models, pricing, hedging, pre/post trade analytics Ultimately, the purpose is to create best in class the business logic and models underlying electronic liquidity offering to clients and the associated analytics This would involve the full chain from requirements gathering, design, implementation, productionisation, optimisation, monitoring and support, Responsibilities The Statistical Modelling and Development team remit lies within the trading activities in the Markets division, in particular electronic trading activities It is responsible for: Algorithms and model-based business logic used in electronic trading in Markets, Data Science applied to trading and sales activities Underlying technology used in electronic trading and Data Science The primary purpose of electronic trading is to provide liquidity to clients on agency and principal basis, where either the connection to the client is electronic or provision of that liquidity requires electronic trading This requires the analysis, research and development of proprietary algorithms and trading business logic using data mining and statistical techniques The business logic includes information extraction from market data, price formation, auto-hedging, algorithmic risk management, execution strategies and smart order routing, You may be assessed on the key critical skills relevant for success in role, such as experience with SM&D Electronic Trading Quant, as well as job-specific skillsets, To be successful as a "SM&D Electronic Trading Quant", you should have experience with: Basic/ Essential Qualifications Graduation or masters degree from reputed 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++), Excellent verbal and written communication skills, Desirable Skillsets/ Good To Have Strong understanding of econometrics, statistics and machine learning tools Prior experience as a quant researcher/trader with algorithms in a sell side environment Ability to multitask and work in a dynamic environment individually and as part of a team Logical thinking, problem-solving and mathematical skills is a must, This role will be based out of Noida, Purpose of the role To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities, Accountabilities Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets, Working closely with sales teams to identify clients' needs and develop customised solutions, In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics, Provide front office infrastructure support though ownership and maintenance of analytical libraries, Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment, Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement, Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources, If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others, OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate, Will have an impact on the work of related teams within the area, Partner with other functions and business areas, Takes responsibility for end results of a teams operational processing and activities, Escalate breaches of policies / procedure appropriately, Take responsibility for embedding new policies/ procedures adopted due to risk mitigation, Advise and influence decision making within own area of expertise, Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct, Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function, Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function, Make evaluative judgements based on the analysis of factual information, paying attention to detail, Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents, Guide and persuade team members and communicate complex / sensitive information, Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation, All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave, Show more Show less

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Join Our Team and let's lead the way together. How will you make an impact in this role? As part of the Global Servicing (GS), the Control Management team is primarily focused on – Safeguarding the Company’s brand and assets Driving adherence to internal policies Meeting regulatory expectations while balancing the execution of key business strategies The Team collaborates across key stakeholders to drive the necessary controls and oversight, enabling GS stakeholders to set the standard for a seamless and differentiated customer experience. The Analyst, Control Management Reporting & Analytics will support GS by managing risk and controls to ensure compliance with global legal and regulatory requirements. This role will have responsibilities to support the output reporting for the Regulatory Business Self Testing (RBST) and Procedural Business Self Testing (PBST) monitoring program for GS. The Analyst will also collaborate across internal teams to support data requests and partner with colleagues across GS and MIS to define reporting requirements. The successful candidate will have a high level of intellectual curiosity, partnered with an eye for precision & accuracy which will allow for the flawless execution of a large, complex RBST and PBST programs and will be a key participant in our continuous journey to uplift and transform this process. Responsibilities: The Analyst: Control Management will - Act as sample management resource and will extract or export staff roster from various sources assisting inventory uploads for RBST and PBST programs Reconcile samples uploaded against those monitored on testing platform by extracting information from cornerstone and produce periodic reporting highlighting key insights Collaborate with frontline teams by preparing and sharing vacant sample reporting and resolve/manage disputes raised by team leaders Drive and deliver Regulatory/Governance reports for Testing, Compliance & Operations/Frontline teams using big data platforms (LUMI, Cornerstone), SAS/SQL, Python etc Work closely with program intake/management, business, testing and compliance teams to ensure reporting requirements are met across all functions and markets Analyze and create visualizations using Tableau, MS Excel etc Timely and accurate response for audit and regulatory requests Work to improve current processes via automation opportunities to create efficiencies Participate along with global teams evaluating processes and making suggestions for process and system improvements through knowledge and information sharing sessions with peers across the organization Required Qualifications: Bachelor's/master’s degree in a quantitative field preferred (e.g., Statistics, Econometrics, Engineering, Mathematics, Computer Science) or MBA, advance degree preferred Strong programming/analytic skills are required (SQL, R, PYTHON, HIVE etc) Working experience in reporting (i.e. data visualization, Tableau, PowerBI, MS Excel) Analytical and problem-solving skills, with an ability to analyze data, identify trends, and evaluate risk scenarios effectively Experience and proven record of statistical analysis and experience in statistical modeling techniques (e.g., regression, cluster analysis, segmentation) and analytics/Econometrics to effectively solve complex business problems Experience working with large datasets, ODL, identifying ingestion issues and proactively collaborating to resolve data related issues Flexibility and adaptability to work within tight deadlines and changing priorities. Ability to compile and communicate complex data analysis Desire to innovate and work on challenging projects and ability to adapt to dynamically changing environment Excellent communication skills, both verbal and written; ability to articulate business problems and implement solutions Preferred Qualifications: GS knowledge and expertise Experience working with large datasets and machine learning algorithms to develop best in class predictive modeling (including neural networks) Ability to challenge the status quo and drive continuous improvements Strong project management skills, ability to work on multiple projects, and work effectively in a team environment. ORMCM We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Designation: Economics Faculty The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, preparing study material, making question papers, and any other work of similar nature assigned by the company. Key Responsibilities: 1. Instruction Delivery: Deliver engaging and interactive lectures, presentations, and discussions on various topics in economics, such as microeconomics, macroeconomics, econometrics, and economic theory. Utilize effective teaching methodologies and strategies to enhance student learning and comprehension. 2. Academic Support: Assist students in understanding complex economic theories, principles, and applications through individualized guidance and mentoring. Address student queries, provide clarification, and offer additional resources to support their learning needs. Essential Requirement: 1. Must have qualified in UGC NET in economics 2. Proficiency in instructional design and delivery methods(content delivery). 3. Who have appeared for the IES(Indian Economics Services) Exam will be given preference Type: Work from Home Work type: Full time / Part time

About the Role: Are you looking forward to further enrich your underwriting skills and international market knowledge in a dynamic fast paced world of a highly specialized and global re/insurance organization? Are you ready to work closely with our Asia Pacific Facultative desk underwriters and provide them with underwriting and analytics support? If yes, here is your opportunity to be part of a growing Facultative underwriting community across APAC. In your role, you will be contributing to the success of Swiss Res Facultative growth ambition in Asia Pacific. You are expected to be proficient in Property underwriting, man-made and NAT CAT modeling and possess good knowledge of re/insurance market. We are also looking for someone who has a commercial mindset and strong collaboration skills with dedication and eagerness to learn. Key responsibilities Provide high quality underwriting support to overseas underwriting desks for Swiss Re Asia Pacific markets (Japan, South Korea, China, Hong Kong, Taiwan, Singapore, Southeast Asia, India & India sub-continent, Australia and New Zealand), which will include but not limited to: Internal underwriting support and risk assessment according to underwriting guidelines of simple to medium complexity property single risks. Operating within the Swiss Res Legal and Permanent Establishment and regulatory framework Costing / risk modelling / pricing support on facultative contracts and underwriting documentation. Underwriting analytics support on single risks, facilities and SwiftRe (on-line platform) business. Support on offer preparation/drafting, wording/conditions review. Preparing Underwriting assessment by review of Risk engineering reports and inferring the risk quality. Ad hoc projects driven by Underwriting or cross-functional teams. Suggest improvements to existing process, models, and tools. Maintain the defined work quality and turnaround time for risk assessment. Establishes & maintains positive relationship with internal partners Identify & resolve service issues with internal clients /stakeholders. Prepare client/region specific reports and share strategic inputs/solutions with internal partners Ad hoc projects driven by underwriting or cross functional teams. Knowledge and Skills Postgraduate/graduate degree preferably in the field of Natural Science, or a quantitative field (e.g., engineering, statistics, Mathematics, Econometrics) which is closely related to these subject areas. Professional qualification in insurance e.g., FIII, CII would be an added advantage. 3-5 years of relevant experience in Risk engineering / Property re/insurance underwriting, single-risk assessment, risk modelling and contract preparation, Strong understanding of underwriting methods, reinsurance, tools, and processes. Experience in facility / portfolio underwriting analytics would be an added advantage. Ability to analyze large data sets, bring out data insights and draw meaningful conclusion. Excellent oral and written English skills. Other foreign language will be added advantage. Strong motivation to learn about re/insurance and overseas markets. Good teammate, able to collaborate across teams in a multi-cultural and matrix environment Taking ownership and have proactive problem-solving aptitude. Ability to deliver strong results and bring in new insights with innovative approach to constructively challenge the status quo. Collaborate with the underwriting community abroad and business partners on projects to generate valuable services for Swiss Re Ability to work with multiple projects and deliver in a timely manner About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 135330

Primary Function:- As a Senior Data Scientist, you will: ● Work collaboratively with the engineering and product teams. ● Communicate and articulate complex issues & technologies easily to stakeholders at different levels. ● Think through problems and drive solutions from inception to shipment. ● Keeping abreast of research trends in the field of Deep Learning/vision/NLP. Qualification & Competency:- ● Bachelors or above in Data Science, Mathematics, Statistics, Econometrics, Computer Science or a related field. ● 3-5 years of experience in building complete ML products; from the problem analysis and data selection to their production deployment and monitoring for progressive enhancements and drifts from business impact. ● Theoretical knowledge and hands-on experience in deep learning/computer vision/NLP ● Ability to rapidly prototype and evaluate algorithms. ● Experience on working with text only and multimodel SLMs will be a big plus. This involves finetuning and building robust eval pipelines specific to use cases. ● Experience with deep learning frameworks such as Keras, PyTorch and TensorFlow. ● Good programming skills is a must, especially skills relevant to building robust ML models. ● Domain experience in Fintech is preferred, but not mandatory. ● Experience of publishing in top-tier conferences and journals will be considered a plus.

Role Overview: As the Media Development Team Leader at PivotRoots, your main responsibility is to define and design media experiences for a portfolio of clients. You will be implementing the Mx Development process to ensure optimal Connection x Context x Content. Key Responsibilities: - Collaborate with the Audience Architect to develop growth target personas and integrate them into planning tools and audience segmentation. - Allocate budget across channels based on audience and objectives, working closely with econometrics and attribution specialists. - Recommend appropriate content and context based on client brief and strategy. - Deliver overall media experience and demonstrate how different channels work together. - Establish a measurement framework including KPIs and methodology in coordination with specialists and Mx measurement teams. - Create and present Mx Story to clients. - Develop Mx guidelines in collaboration with internal specialist teams. - Ensure quality control on plan recommendations against Mx delivery. - Provide insightful post-campaign optimization. - Contribute to client satisfaction by ensuring optimal Mx delivery. - Manage audience planning and data integration from Mx brief to Mx measurement. Qualifications Required: - Bachelor's or Master's degree in Business, Marketing, or Advertising. - Proficiency in English (Advanced). Additional Details of the Company: PivotRoots is looking for a Media Development Team Leader with at least 8 years of professional experience in strategic planning, particularly in the media and brand industry. The ideal candidate should possess a strong understanding of business, demonstrate initiative, focus on performance, build collaborative relationships, and excel in media and media planning. Additionally, you should be well-versed in Mx Champion (Connection, Context, Content), omnichannel strategies, negotiation skills, elite programmatic techniques, data processing, marketing strategy, advertising technologies, and operational performance management tools such as Pilot and Magnitude. Familiarity with audience planning tools like Polaris and proficiency in using office software are also required for this role. Contract Type: Permanent.,