140 Data Operations Jobs - Page 3

: Job TitleESG Data / Operations Analyst, AVP LocationMumbai, India Role Description About DWS DWS, publicly listed asset management division of Deutsche Bank, is one of the world's leading investment management organizations with billions of assets under management. DWS provides flexible products and solutions to a wide range of investment opportunities across all asset classes from pooled funds to highly customized portfolios for a wide range of investors and offers individuals and institutions traditional and alternative investments across all major asset classes. About the DWS ESG Engine team Our dedicated DWS ESG team is part of DWS Platform Sustainability team with activities integrated into the investment process, designed to go beyond the fiduciary duties. Our proprietary DWS ESG Engine uses data from multiple vendors which allows us to rely on amongst the best data sources available for analysis. The wealth of information available from these providers means that the DWS ESG Engine has access to more than 50 million data points for over 10,000 companies. The software translates the available data into a consistent evaluation process, to derive DWS ESG ratings which are used for investment process. About DWS India (P) Ltd DWS India (P) Ltd., is a wholly owned subsidiary of DWS Group GmbH & Co. KGaA (part of Deutsche Bank Group). Our teams in Mumbai focuses on Research & Analytics, Portfolio Management Support, Business Management Support, etc. across all divisions of DWS Group What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities As an ESG Analyst you are part of the DWS ESG Engines ESG Data & Research Team. The ESG Engine Team is part of DWS international Platform Sustainability Team, which has a dual reporting line into DWS Chief Investment Officer and the Head of the Product Division. Ensure operational excellence that istimely and accurate ESG signal production. Run the monthly result validation / quality assurance procedures, which requires in-depth analysis of ESG assessments and changes in different detail levels, and coordination of review loops within the engine team, research and other internal/external functions Engage with ESG data vendors in case of concerns on data quality Engage with the DWS teams monitoring the compliance of DWS investments with guidelines based on our ESG data and ensure that all actions are based on validated results. Engage with ESG Engine engineers which design and build the platform on which the ESG results are algorithmically evaluated Provide one-stop service for ad-hoc queries from the business on ESG data and results. This requires understanding of the implemented methodology. Enhance operational excellence by continuously challenge the status-quo and propose changes to and/or further automate existing procedures Support documentation base of implemented ESG processes and methodology, and train/support the platform Your skills and experience Education and Experience Experience in production support roles, i.e. executing (semi-)manual procedures with zero failure rate Masters degree in Commerce/Science or similar Experience in quality assurance, i.e. review, challenge and/or evidence obtained data Experience on working with high volume of complex data Experience in analyzing company reports / filings Advanced Proficiency in MS-Office Strong analytical skills and mindset Passionate about responsible investing/stewardship and having positive impact Competencies Highly motivated, self-sufficient and ability to learn quickly Intercultural competence, superior communication skills and strict attention to detail Highly structured and dedicated approach to work High interest in taking on new challenges Ability to work independently and as part of the team High level of comfort in dealing with different levels of management How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.

Job Title: Deputy Manager / Manager ? Taxonomy Operations Location: Noida Role Overview: We are looking for a Lead role ? Taxonomy Operations to lead and scale our taxonomy team, responsible for maintaining and optimizing the taxonomy health across critical entities like colleges, companies, skills, job titles/designations , and more. Your mission will be to improve data quality, reduce long-tail free text entries, and increase fill rates from job seekers selecting structured values from our master datasets. You will own the roadmap for taxonomy enrichment, identify gaps, and develop scalable and automated strategies to ensure high coverage, accuracy, and completeness across the platform. Key Responsibilities: Platform Health & Taxonomy Coverage Own and manage master taxonomies across key entities (colleges, companies, skills, designations, etc.). Ensure comprehensive coverage and alignment of taxonomy with industry standards and platform needs. Monitor and improve taxonomy fill rates across the job seeker funnel. Identify and reduce free-text long tail entries by driving structured value adoption. Data Quality & User Behavior Insights Analyze user input patterns to identify areas where structured selections are underutilized. Design interventions to nudge job seekers towards selecting from taxonomy masters. Collaborate with product and UX teams to improve UI/UX for better taxonomy adoption. Automation & Operational Scaling Develop automated pipelines for deduplication, clustering, synonym resolution, and enrichment. Ensure regular feedback is shared with the data science team for improving the prediction Build tools and dashboards to empower taxonomy analysts with faster and more accurate workflows. Cross-Functional Collaboration Work closely with product, engineering, data science, and operations teams to integrate taxonomy logic across the platform. Partner with marketing and B2B teams to ensure taxonomy supports business needs and campaigns. Team Leadership & Strategy Build, lead, and mentor a team of taxonomy analysts and specialists. Define OKRs and drive execution against operational targets and strategic goals. Success Metrics (KPIs): Fill Rate Improvement : % increase in structured field selection by job seekers (target: +15?20% YoY). Longtail Reduction : % reduction in unique free-text values across key entities (target: -30% YoY). Coverage Ratio : % of platform-wide records successfully mapped to taxonomy masters (target: >95%). Automation Efficiency : % of taxonomy tasks automated vs. manual (target: >70% automated). Turnaround Time (TAT) : Reduction in time to resolve taxonomy gaps or integrate new terms. Precision/Recall in normalization and classification pipelines (>95%). Required Skills and Experience: 7?10 years of experience in taxonomy/ontology management, data operations, or structured data systems. Experience working with recruitment/job platforms, e-commerce, or content-heavy platforms preferred. Strong analytical mindset with hands-on experience in data cleaning, clustering, and classification . Knowledge in Open AI, SQL, Python, or relevant scripting languages. Strong project management and stakeholder collaboration skills. Demonstrated ability to scale systems and teams.

Skill required: Clinical Data Operations - Clinical Database Testing Designation: Clinical Data Svs Associate Qualifications: Masters in actuarial science Years of Experience: 1 to 3 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Life Sciences R&D vertical. Our services span across the entire life sciences enterprise, from research laboratories, clinical trials support, and regulatory services, to pharmacovigilance and patient services solutions. Employees under this span will be a part of one of the sub-offerings - Clinical, Pharmacovigilance & Regulatory, helping the world s leading biopharma companies bring their vision to life and enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience.The Clinical Testing Team is dedicated to conduct through validation of all clinical trial database components ensuring that database meets quality standards while remaining cost effective. Their responsibilities include reviewing requirement specification, developing test scripts for carious testing types, performing data entry according to these scripts, executing test steps, documenting results and maintaining comprehensive records of all tested components in compliance with regulatory requirements.Design and test EDC databases, create and maintain User Acceptance Testing (UAT) procedures for EDC systems, including the creation of test plans, verification of requirements for databases, eCRFs, edit checks, extractions, and reports. What are we looking for Adaptable and flexibleAbility to perform under pressureProblem-solving skillsAbility to establish strong client relationshipAgility for quick learningCandidates who have completed Master s or Post graduate degree in Life Science domain (Biology, Genetics, Microbiology, Biochemistry, Biotechnology, and Ecology) in 2024 & 2025 (if all semester s results are available). Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your expected interactions are within your own team and direct supervisor You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments The decisions that you make would impact your own work You will be an individual contributor as a part of a team, with a predetermined, focused scope of work Please note that this role may require you to work in rotational shifts Qualification Masters in actuarial science

Skill required: Clinical Data Operations - Clinical Database Testing Designation: Clinical Data Svs Associate Qualifications: Masters in actuarial science Years of Experience: 1 to 3 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Life Sciences R&D vertical. Our services span across the entire life sciences enterprise, from research laboratories, clinical trials support, and regulatory services, to pharmacovigilance and patient services solutions. Employees under this span will be a part of one of the sub-offerings - Clinical, Pharmacovigilance & Regulatory, helping the world s leading biopharma companies bring their vision to life and enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience.The Clinical Testing Team is dedicated to conduct through validation of all clinical trial database components ensuring that database meets quality standards while remaining cost effective. Their responsibilities include reviewing requirement specification, developing test scripts for carious testing types, performing data entry according to these scripts, executing test steps, documenting results and maintaining comprehensive records of all tested components in compliance with regulatory requirements.Design and test EDC databases, create and maintain User Acceptance Testing (UAT) procedures for EDC systems, including the creation of test plans, verification of requirements for databases, eCRFs, edit checks, extractions, and reports. What are we looking for Candidates who have completed Master s or Post graduate degree in Life Science domain (Biology, Genetics, Microbiology, Biochemistry, Biotechnology, and Ecology) in 2024 & 2025 (if all semester s results are available).Adaptable and flexibleAbility to perform under pressureProblem-solving skillsAbility to establish strong client relationshipAgility for quick learningExperience with Clinical testing, Understanding of clinical Trials, Phases and clinical domain. Familiarity with clinical data management concepts and terminologies, Knowledge of regulatory guidelines such as GCP, ICH, 21 CRF Part 11 and GDRP. Experience in test script development and strong documentation skills for test cases, validation reports and audit trials. Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your expected interactions are within your own team and direct supervisor You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments The decisions that you make would impact your own work You will be an individual contributor as a part of a team, with a predetermined, focused scope of work Please note that this role may require you to work in rotational shifts Qualification Masters in actuarial science

Skill required: Clinical Data Operations - Clinical Database Testing Designation: Clinical Data Svs Associate Qualifications: Masters in actuarial science Years of Experience: 1 to 3 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Life Sciences R&D vertical. Our services span across the entire life sciences enterprise, from research laboratories, clinical trials support, and regulatory services, to pharmacovigilance and patient services solutions. Employees under this span will be a part of one of the sub-offerings - Clinical, Pharmacovigilance & Regulatory, helping the world s leading biopharma companies bring their vision to life and enabling them to improve outcomes by converging around the patient, connecting scientific expertise with unique insights into the patient experience.The Clinical Testing Team is dedicated to conduct through validation of all clinical trial database components ensuring that database meets quality standards while remaining cost effective. Their responsibilities include reviewing requirement specification, developing test scripts for carious testing types, performing data entry according to these scripts, executing test steps, documenting results and maintaining comprehensive records of all tested components in compliance with regulatory requirements.Design and test EDC databases, create and maintain User Acceptance Testing (UAT) procedures for EDC systems, including the creation of test plans, verification of requirements for databases, eCRFs, edit checks, extractions, and reports. What are we looking for Candidates who have completed Master s or Post graduate degree in Life Science domain (Biology, Genetics, Microbiology, Biochemistry, Biotechnology, and Ecology) in 2024 & 2025 (if all semester s results are available).Adaptable and flexible.Ability to perform under pressure.Problem-solving skills.Ability to establish strong client relationship.Agility for quick learning.Experience with Clinical testing, Understanding of clinical Trials, Phases and clinical domain. Familiarity with clinical data management concepts and terminologies, Knowledge of regulatory guidelines such as GCP, ICH, 21 CRF Part 11 and GDRP. Experience in test script development and strong documentation skills for test cases, validation reports and audit trials. Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your expected interactions are within your own team and direct supervisor You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments The decisions that you make would impact your own work You will be an individual contributor as a part of a team, with a predetermined, focused scope of work Please note that this role may require you to work in rotational shifts Qualification Masters in actuarial science

1. A Bachelors Degree In A Computer-related Field. 2. 4-5 Years Of Work Experience In A Related Field. 3. Strong Knowledge Of Technical Management And Information Analysis. 4. Excellent Knowledge Of Hardware And Software Systems. Responsibilities : 1. Dealing With Server Crashes, Setting Up New Servers, Removing Old Hardware, Or Streamlining IT Systems. 2. Managing Information Technology And Computer Systems. 4. Controlling And Evaluating IT And Electronic Data Operations. 5. Managing IT Staff. 6. Designing, Developing, Implementing, And Coordinating Systems, Policies, And Procedures. 7. Ensuring Data Security, Network Access, And Backup Systems. 8. Identifying Problematic Areas And Implementing Strategic Solutions. 9. Auditing Systems And Assessing Their Outcomes. 10. Preserving Assets, Information Security, And Control Structures. 11. Handling Annual Budgets And Ensuring Cost-effectiveness. 12. Managing And Reporting On The Allocation Of The IT Budget. 13. Identifying And Acting On Opportunities To Improve And Update Software And Systems.

Overview Operations Management: Understand the SOP for data sourcing from internal stakeholders and setup process to track quality Do Independent process study and define the workflow , quality checks to ensure the accuracy of the data and partner with technology to improve the Quality assurance process Define and implement the appropriate Metrics for reporting to stakeholder on a regular basis (weekly/monthly). Monitor the team of Data operators who collect the data from various public sources such as company Website, Company’s Annual reports, financial reports as per SOP Responsible for the quality of data collected by Data operators from Company annual statements, financial reports, Stock Exchanges. Perform RCA of the errors occurred and have necessary controls to avoid repetition. Independently manage the process includes daily deliverables, stakeholders’ management, proactive approach, and process improvement initiatives. People Management: Focus on training pool of Juniors, and setting up of team workflows , process to detect data quality issues, metrics and KPIs. Consistent touch on Team members progress and helping team to acquire right level of trainings and skills. Develop Training plan and module that helps training new joiners and backfills. Delivery: Deliver quality assured data (financial/non-financial) as per agreed daily SLAs Work with internal stakeholders and downstream teams on meeting Service Level Agreements (SLA) on data Quality Assurance (accuracy, completeness, and timeliness). Create and implement the appropriate metrics on deliverables to the stakeholders and always ensure the agreed SLA is met. Process Improvement: Lead team Quality improvements by analyzing existing process and focus on areas for improvement, automation applying Lean Six Sigma, Balanced Scorecard, and other TQM approaches. Focused on process improvements including elimination of redundancies, brainstorming the process improvements ideas and partner with the engineering teams to improvise the current state of work. Responsibilities Should have hands on experience on creating new process metrics, KPI and scorecard. Can independently manage the deliverables and stakeholders’ expectations. Individuals with an analytical mindset who can analyze the data with strong attention to details to identify problems, trends/patterns, anomalies, issues within data and solve the issues. Familiarity with process and quality improvements Work schedules is in India time zone could extend into EMEA hours for meetings Adaptability and flexibility to work in a fast paced and changing environment Ability to work within a team-oriented environment across hierarchies, functions and geographies Ability to communicate with various internal and external parties globally. Intent in automation and carry supporting skills like advanced excel knowledge , building dashboard using PowerBI , and automation through Jupyter/Python notebooks etc. Have high interests to learn new things and willingness to take and deliver challenging work. Good to have: Have sound knowledge on capital markets and functioning of the markets (Exposure to various financial products like Equities, Fixed Income, Derivatives, Commodities, Corporate actions etc.) Knowledge about Financial Statements like Annual reports, Income statement, Balance Sheet, and Cash flow statement Qualifications 5-7 years of full-time professional experience in: Experience in a global financial institution or shared service firm. Research background a plus (Economic, Environmental, Industry or Sector) Experience in Annual Report analysis and reporting a big plus. Master’s Degree in Business, Environmental Science, Public Health or Climate Management a big plus. Have sound technical knowledge who can handle the data analysis and ability to learn the financial product and Finance statements. Experience in data quality and automation related roles, Business analysis , analyzing existing process and reengineer to achieve efficiency and improved quality. Good to have people management experience in operations, back-office, KPO set-up. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

hiring a Data Operations Engineer for a 6-month contractual role based in Pune. The ideal candidate should have 5-9 years of experience in Data Operations, Technical Support, or Reporting QA. You will be responsible for monitoring data health, validating config payloads, troubleshooting Airflow DAGs, documenting best practices, and supporting Ad Tech partner integrations. Proficiency in Snowflake, Airflow, Python scripting, and SQL is mandatory. Excellent communication, problem-solving skills, and a proactive attitude are essential for success in this role.

The Data Operations team is responsible for providing data quality assurance for multiple datasets including pricing, securities and reference data, benchmarks, portfolios and fund. KEY RESULT AREAS: -Complete specialist tasks including maintaining data in internal repository systems, dealing with data queries relating to life client and other stakeholders. -Perform monthly reporting for the biggest client involving Asset data and holdings in timely manner. -Data analysis and issue resolution for investment data related queries raised by Life client and internal & external stakeholders. -Ensuring that the data quality is in line with the organization’s data management governance process. The role sits in the Investment and Asset Data Support team, responsible for the stewardship and reporting of Asset data that resides in the Asset Data Store (ADS) and manage Data Quality exceptions in Data Management Platform (DMP) an ensuring the data is complete, consistent, fit for purpose and ready for consumption for all end users. -The daily review and validation of daily Security Master Reference data in internal DMP system and resolve exceptions in timely manner. -Resolution of exceptions to ensure data integrity. -Managing and monitoring controls to ensure data quality and consistency. -Resolving data issues highlighted as part of data validation process and manage escalations. ASSET DATA REPORTING: -Perform monthly, quarterly, semi-annual, and annual reporting for Major Life client on monthly basis in timely manner. -Sourcing and onboarding of new market data required for reporting. -Ensure data used for Reporting is clean, validated and fit for reporting. -Work closely with stakeholders on reporting issues and resolve in timely manner without impact to reporting timelines. -Publish PowerBI reports to various stakeholders with clean data for reporting consumption. -Engage with IT Support and Development teams on the issues encountered during reporting cycle and resolve in timely manner. ADDITIONAL RESPONSIBILITIES: -Continuous updates of standard operating procedures along with the new changes and projects -Identify and execute continuous process improvement and automation. -Support projects and ad-hoc queries -Singapore Public Holiday coverage may be required EXPERIENCE / QUALIFICATIONS -An excellent understanding of a wide range of tradable instruments -Strong analytical and communication skills -3-4 years strong data management experience in large banking institution especially financial services sector, preferably in Asset Management, including prior experience in doing asset data reporting for clients with Instrument Reference data and Positions. -Prior experience using investment platforms, like GoldenSource is desirable. -Knowledge of SQL, PowerBI, Python language skills is a plus. - Understanding of the data management governance frameworks -Working knowledge of data vendor systems such as Bloomberg, Reuters, S&P, etc. - Working knowledge of PowerBI and Power Automate -Excellent customer focus and high level of accuracy, and attention to detail -Demonstrated ability to work collaboratively as part of the small team. GENERAL CANDIDATE ATTRIBUTES -A deep understanding of asset management enterprise data, its associated processes, systems, controls and deliverables. -A strong ability to be hands on yet has a holistic strategic vision on data management. -A strong team player -A performance driven individual -Strong relationship management skills

: Job Title Reference Data Analyst, ( Operations Analyst) LocationPune, India Role Description The Reference Data Analyst focuses on effective oversight of strategic data used across the banks systems and infrastructure. Reference data, either sourced externally or generated internally, covers a wide range of critical enterprise-wide information such as pricing, securities, books, financial products, clients, legal entities, accounts and mandates. The Reference Data Analyst supports various elements of the Life cycle management of alternative real estate assets, from ensuring that data is captured from the best source, to validating and classifying, and ensuring seamless execution & monitoring of Alternative real estate operations within REIT structure. The Reference Data Analyst has responsibility for maintaining robust processes related to data set-up, storage and distribution, as well as system configuration, together with participation in projects designed to streamline infrastructure and improve efficiency. Reference data is integral to the banks response to regulatory requirements. Close partnership is needed with stakeholders such as Front Office, Middle Office, Audit, Compliance and Regulatory Reporting to deliver solutions that balance immediate business priorities with long term strategic objectives & ensuring all operations align with REIT compliance guidelines. As an operations Analyst you will be responsible for completion of day-to-day activity (Static amendments and set-ups on various applications used by Front office, Middle office and Back office) as per standards and ensure accurate and timely delivery of assigned production duties. Reference data, either sourced externally or generated internally, covers a wide range of critical enterprise-wide information such as pricing, securities, books, financial products, clients, legal entities, accounts and mandates. You need to ensure adherence to all cut-off times and quality of processing as maintained in SLAs. You should ensure that all queries related to routine activities are responded to within the time frame specified. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Responsible for the Investigation and resolution of static data related issues in various applications used by front office , middle office and back office team Monitor operational risks across alternative assets Ensure timely and accurate processing of static set-up request from PMs , Traders Ensure adherence to standards , procedures and also identify risk, mitigate wherever there is a control issue Demonstrate domain expertise in identifying root causes and remediation of sourcing and data quality issues Escalate all issues in time, to the appropriate level, to avoid any adverse impact on the business Ensure team work culture is practiced. To get involved in process improvement projects driven by the management. Ensure proper back-ups created and assist during contingencies (Staff shortage, high volumes etc.) Exhibit excellent ownership attitude and should have a client-focus and delivery mind-set Your skills and experience Should have complete knowledge of Data & Trade Life Cycle Knowledge of REIT rules, fund accounting & tax efficient investment structures Should preferably have knowledge of Capital market and various financial products, with strong market data experience Good understanding of Reference Data and Market Regulatory terms, on both static and variable market data 1-2 years experience in real estate operations & REIT Asset Managemnet Exposure to Alternative asset classes with Real Estate ( eg REITs, Infrastructure, debt funds ) Familiarity with Bloomberg, Reuters and other global data source points Prior interaction with IT development staff is plus In depth instrument knowledge in at least (FI, EQ, Derivative) some areas minimum, broader the knowledge the better Experience with applications like Aladdin, Sim Corp and Eagle will be added advantage. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm

: Job Title Reference Data Analyst, ( Operations Analyst) LocationBangalore, India Role Description The Reference Data Analyst focuses on effective oversight of strategic data used across the banks systems and infrastructure. Reference data, either sourced externally or generated internally, covers a wide range of critical enterprise-wide information such as pricing, securities, books, financial products, clients, legal entities, accounts and mandates. The Reference Data Analyst supports various elements of the Life cycle management of alternative real estate assets, from ensuring that data is captured from the best source, to validating and classifying, and ensuring seamless execution & monitoring of Alternative real estate operations within REIT structure. The Reference Data Analyst has responsibility for maintaining robust processes related to data set-up, storage and distribution, as well as system configuration, together with participation in projects designed to streamline infrastructure and improve efficiency. Reference data is integral to the banks response to regulatory requirements. Close partnership is needed with stakeholders such as Front Office, Middle Office, Audit, Compliance and Regulatory Reporting to deliver solutions that balance immediate business priorities with long term strategic objectives & ensuring all operations align with REIT compliance guidelines. As an operations Analyst you will be responsible for completion of day-to-day activity (Static amendments and set-ups on various applications used by Front office, Middle office and Back office) as per standards and ensure accurate and timely delivery of assigned production duties. Reference data, either sourced externally or generated internally, covers a wide range of critical enterprise-wide information such as pricing, securities, books, financial products, clients, legal entities, accounts and mandates. You need to ensure adherence to all cut-off times and quality of processing as maintained in SLAs. You should ensure that all queries related to routine activities are responded to within the time frame specified. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Responsible for the Investigation and resolution of static data related issues in various applications used by front office , middle office and back office team Monitor operational risks across alternative assets Ensure timely and accurate processing of static set-up request from PMs , Traders Ensure adherence to standards , procedures and also identify risk, mitigate wherever there is a control issue Demonstrate domain expertise in identifying root causes and remediation of sourcing and data quality issues Escalate all issues in time, to the appropriate level, to avoid any adverse impact on the business Ensure team work culture is practiced. To get involved in process improvement projects driven by the management. Ensure proper back-ups created and assist during contingencies (Staff shortage, high volumes etc.) Exhibit excellent ownership attitude and should have a client-focus and delivery mind-set Your skills and experience Should have complete knowledge of Data & Trade Life Cycle Knowledge of REIT rules, fund accounting & tax efficient investment structures Should preferably have knowledge of Capital market and various financial products, with strong market data experience Good understanding of Reference Data and Market Regulatory terms, on both static and variable market data 1-2 years experience in real estate operations & REIT Asset Managemnet Exposure to Alternative asset classes with Real Estate ( eg REITs, Infrastructure, debt funds ) Familiarity with Bloomberg, Reuters and other global data source points Prior interaction with IT development staff is plus In depth instrument knowledge in at least (FI, EQ, Derivative) some areas minimum, broader the knowledge the better Experience with applications like Aladdin, Sim Corp and Eagle will be added advantage. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm

hiring a Data Operations Engineer for a 6-month contractual role based in Pune. The ideal candidate should have 5-9 years of experience in Data Operations, Technical Support, or Reporting QA. You will be responsible for monitoring data health, validating config payloads, troubleshooting Airflow DAGs, documenting best practices, and supporting Ad Tech partner integrations. Proficiency in Snowflake, Airflow, Python scripting, and SQL is mandatory. Excellent communication, problem-solving skills, and a proactive attitude are essential for success in this role.

Overview The Data Production Program Management Lead plays a critical role in the operationalization and delivery of derived datasets that underpin MSCI Private Assets analytics and internal workflows. This includes overseeing production pipelines for the Private Capital Universe, index creation, and related outputs that flow into downstream platforms and client-facing tools. Reporting to the Data Integration and Production Program Lead, this role acts as the connective tissue between Data Engineering, Product, and internal platform teams—ensuring execution discipline, production readiness, and alignment across all data delivery touchpoints. This role will help streamline tooling, support automation efforts, and reduce operational risk across one of MSCI’s most complex and business-critical data domains. Responsibilities Own program execution for PCU and index creation pipelines from production logic through distribution readiness Collaborate with Data, Engineering, Product, and platform owners to define production timelines and manage upstream dependencies Align tooling requirements with internal teams to improve data validation, monitoring, auditability, and operational controls Track delivery readiness of each dataset, ensuring reconciliation and testing are complete before internal or external use Ensure seamless integration of production outputs into downstream platforms by coordinating platform owners Maintain comprehensive documentation of workflow logic, dependencies, and edge cases across PCU/index pipelines Identify and manage delivery risks, escalate blockers, and uphold release quality standards Serve as the central coordinator ensuring seamless handoffs between raw data production and downstream delivery—maintaining clear ownership, reducing fragmentation, and enabling end-to-end accountability Qualifications 7+ years of experience in program or product management, preferably in data operations or analytics production Strong understanding of data transformations, modeling, validation, and production workflows Familiarity with Agile or iterative delivery methodologies and cross-functional collaboration High attention to detail and ownership of release quality, timelines, and stakeholder expectations Excellent communication and stakeholder management skills; adept at translating between technical execution and business priorities Experience with operational tooling (e.g., Jira, Confluence, automated validation or reconciliation systems) Ability to scale and refine delivery processes over time, driving continuous improvement in production maturity What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

What is The Job? We are hiring a Marketing Operations Analyst, who will be an integrated part of marketing and sales team. You will be responsible for automating the day-to-day work between marketing and sales, keeping the best practices in mind. You will get the actionable insights for sales and marketing, through data and funnel analysis. You will also help marketing and product team with the routine research work (including and not limited to) keyword analysis, list building, and coordinating with vendors. Why Should You Apply? If Inbound Marketing and a small team interests you, this is an incredible opportunity to create a significant impact on a fast growing product. You can also extend your reach to other aspects of inbound / content marketing. Responsibilities: Manage technical aspects of key marketing systems (marketing automation, CRM) used to generate, distribute, and report on leads Establish and maintain scalable processes that ensure best practices in campaign and lead management Create and maintain metrics reports on marketing and sales activities and effectiveness and business impact Analyze marketing and sales data to develop insights and make recommendations on areas for optimization Monitor and maintain data quality within the marketing database Evaluate new technologies and add-on applications to improve and optimize marketing team performance Help marketing team in the list building exercise through various channels Coordinate with various marketing vendors Optimizing online paid campaign Help marketing team in routine research activities like SEO keywords, tools selection etc. Help in circulating weekly marketing reports across the company. Requirements : Bachelor's degree is a must. An MBA would be a PLUS. 2-3 years of experience in marketing automation and analytics Strong analytical skills and experience with reporting and data analysis. Proficient in marketing automation systems (e.g. HubSpot) and integrating those systems with other technologies. Strong drive to learn, excellent communicator, and a desire to improve processes

About the Role We are seeking a proactive and results-driven Lead - Data Ops to drive operational efficiency, support cross-functional alignment, and ensure transparent communication of key metrics across the organization. The ideal candidate will be responsible for adopting new product features, ensuring support needs are translated into actionable product improvements, and developing performance indicators to track the health and efficiency of operations. Proficiency in SQL, Power BI, and Excel-based reporting is essential. Requirements A Day in the Life Collaborate with the Product team to adopt newly released efficiencies aimed at improving unit economics and process optimization. Liaise with the Platform team to document and share support requirements. Ensure they are incorporated in Product Requirement Documents (PRDs) and prioritized based on business impact. Own the end-to-end communication and reporting of OKRs and other key operational metrics to leadership, ensuring transparency and accountability. Track progress and follow up with Data Ops Managers to ensure timely updates, alignment, and delivery of key objectives. Drive a culture of ownership and collaboration across teams to ensure commitments are delivered with quality and within timelines. Define and develop KPIs to measure the efficiency and effectiveness of operational programs, and use data insights to inform improvements. Identify opportunities for improving operational processes and implement incremental changes to enhance performance tracking and team efficiency. Utilize SQL for querying and analyzing operational datasets; proficiency with Power BI for creating dashboards and visual reports. What You Need Strong knowledge of SQL, Power BI, and Excel-based reporting. Excellent written and verbal communication skills. Ability to translate business requirements into actionable operational plans. Demonstrated ability to work with cross-functional teams in a fast-paced, dynamic environment. Strong organizational and stakeholder management skills. An ambitious person who can thrive in a flexible startup environment with only one goal- getting things done .

Job Description: Assistant Manager - Data and Operations (GAC Division) Location: Pune, Hinjewadi Office (with flexibility to work in UK/US shifts) Company- Division: CRISIL - Global Analytical Centre (GAC) About CRISIL : CRISIL is a global analytical company providing ratings, research, and risk and policy advisory services. We are India's leading ratings agency. We are also the foremost provider of high-end research to the world's largest banks and leading corporations. CRISIL's majority shareholder is S&P Global. Position Summary: We are seeking an experienced and dynamic Assistant Manager to join our Data and Operations team within the GAC division. The ideal candidate will possess a strong finance background, proven people management experience, and expertise in automation tools and technologies. This role will involve overseeing data operations, managing a team, and ensuring the delivery of high-quality analytical services to our clients. Key Responsibilities: Team Management: Lead and manage a team of analysts and associates, providing guidance, support, and mentorship. Conduct regular performance reviews and facilitate professional development opportunities for team members. Foster a collaborative and high-performance culture within the team. Data Operations: Oversee the data collection, validation, and analysis processes to ensure accuracy and reliability. Develop and implement operational procedures and best practices to enhance efficiency and productivity. Collaborate with cross-functional teams to streamline data operations and improve service delivery. Financial Analysis: Utilize financial expertise to interpret data and provide actionable insights that support decision-making. Assist in the development of financial models and reports that meet client needs and expectations. Monitor industry trends and regulatory changes that may impact data operations and financial analysis. Automation and Technology: Leverage automation tools and technologies (e.g., Python, SQL, Power BI, GenAI) to enhance data processing and reporting capabilities. Drive initiatives to automate repetitive tasks and improve overall operational efficiency. Stay updated on emerging technologies and best practices in data automation and analytics. Client Engagement: Build and maintain strong relationships with internal and external stakeholders. Address client inquiries and concerns promptly and professionally. Participate in client meetings and presentations to communicate findings and recommendations. Compliance and Quality Assurance: Ensure compliance with relevant regulations and internal policies. Conduct regular audits and quality checks to maintain the integrity of data and operations. Identify and mitigate risks associated with data management and operations. Qualifications: Master’s degree preferably in finance or equivalent. Minimum of 5-7 years of experience in data operations, analytics, or finance, with at least 2-3 years in a managerial role. Strong understanding of financial principles and data management practices. Proficient in automation tools and technologies, including Python, SQL, Power BI, and GenAI. Excellent leadership, communication, and interpersonal skills. Ability to work under pressure and meet tight deadlines. Eligibility Criteria: Not appeared for CRISIL test / interviews in the last six months.

As a Data Operations Associate, you will support data quality and operational efficiency within our team. Your responsibilities will include working on assigned data-related tasks, assisting with process improvements, and maintaining accurate documentation. You will use tools such as CRM Dynamics and Alteryx to complete assigned tasks and contribute to data cleanup efforts. This role offers an excellent opportunity to develop expertise in data operations and make a meaningful impact on data integrity and efficiency. Essential Duties (Required duties employees must accomplish, and performance is measured) Work on assigned tickets in personal Workfront queue, ensuring timely completion and clear communication -50% Support data cleanup efforts and assist with data-related projects- 25% Create, update, and maintain team documentation to ensure accuracy and accessibility- 15% Provide support for ServiceNow tickets and Azure DevOps tasks as needed- 5% Other duties as assigned- 5% Minimum Qualifications EDUCATION/CERTIFICATIONS BA/BS degree in technology or business or equivalent practical experience TECHNICAL/SOFT SKILLS Excellent customer service skills with the ability to manage stakeholder expectations and collaborate with team members at all levels of the organization (Required) Strong attention to detail with exceptional organizational and prioritization skills (Required) Ability to thrive in a fast-paced, evolving environment and adapt to changing priorities (Required) Clear and effective communication skills, with the ability to explain complex data requirements to cross-functional teams (Required) Basic understanding of database concepts and queries (Required) Self-motivated with the ability to work independently as well as collaboratively within a team (Required) EXPERIENCE 1+ years Dynamics CRM/365 experience (Preferred) 1+ year minimum in a Data Quality/Management/Operations role (Preferred) 2+ years proven customer service skills (Required) Basic knowledge of SQL writing/optimizing queries (Preferred) Basic knowledge of database concepts (Required) Proficiency with Microsoft Office (Excel, Outlook, PowerPoint, Word) (Required) 1+ years experience working with Alteryx or other ETL tools (Preferred) 1+ years experience working with a work queue program (Ticket system) (Preferred)

MSCI Services is looking for a Data Operations - Associate to join our Shared Service Data operations team in Hyderabad, Telangana, India . This role specializes in Business Activity classification with a focus on Digital Assets . Our Data team researches and evaluates companies, instruments, and other asset classes based on a multitude of factors. You will be responsible for classifying Digital Assets and related asset types according to the Datonomy methodology , and systematically managing their upkeep. This position offers exposure to the full lifecycle of digital asset initiation, classification, ongoing maintenance, and its derived use in products across MSCI Index and other business units. You'll be part of a highly skilled team that solves complex problems. Your Key Responsibilities Help re-engineer Digital Asset classification operations . Collaborate with the engineering team to design, build, and test systems . Incorporate AI/LLM augmented QA, source transparency, and governance controls into processes. Integrate a unique digital asset identifier and manage the ongoing universe. Contribute to other business classifications as part of the broader team, including issuer and business segment classification across asset classes like Equities, Privates, and Fixed Income. Manage daily operations, coverage expansion, and internal and client query management. Gain exposure to Equity, Fixed Income & other related indexes, performance and analytics; Exchange and vendor data feeds and symbology, etc. Perform in-depth analysis of data, analytics, and workflows to improve processes and/or develop new tools in collaboration with Tech and Development teams. Collaborate across a global organization to serve both internal and external clients in a shared services environment. Partner with our product and coverage organization to serve top-tier clientele, including central banks, leading financial institutions, hedge funds, and corporations. Your Skills and Experience That Will Help You Excel Master's degree in Finance/Economics from a premier institute (or equivalents like CFA, CA, FRM), or an engineering degree with solid experience in finance. Working knowledge of financial markets data operations (Equity, Fixed Income, Alternate investments). Excellent communication skills (both written and presentation), with the ability to thrive in a multicultural environment. A self-starter with the drive to work independently with minimal oversight. Solid background in Excel and working knowledge of SQL . Experience working with IT teams, knowledge of charting tools (Tableau, Power BI, etc.), and basic coding skills to build Proof of Concept models (Python, R, or other scripting) will be an added advantage. Desired Experience Exposure to content/research work in Alternate Asset classes , especially digital assets, will be a plus. Experience working with global vendors (Reuters, Interactive Data, Factset, etc.) will be a plus. Comfortable with different work shifts and schedules (excluding US night shifts).

MSCI Services is looking for a Data Operations - Analyst to join our Shared Service Data operations team. This role focuses on Business Activity classification with a specialization in Digital Assets . The MSCI Data team researches and evaluates companies, instruments, and other asset classes on a multitude of different factors. You'll be responsible for classifying Digital Assets and related asset types according to the Datonomy methodology and managing their systematic upkeep. This position offers exposure to the full lifecycle of digital asset initiation, classification, ongoing maintenance, and its derived use across MSCI Index and other business units. You will be a member of a highly skilled team that solves complex problems. Responsibilities: Be part of the team to re-engineer the Digital Asset classification operations . Work with the engineering team to design, build, and test systems. Build AI/LLM augmented QA, source transparency, and governance controls into the process. Integrate a unique digital asset identifier and ongoing universe management process. Also be responsible for working on other business classifications as part of the larger team, including issuer and business segment classification across different asset classes (Equities, Privates, Fixed Income issuers). Manage daily operations, coverage expansion, and internal and client query management. Gain exposure to Equity, Fixed Income & other related indexes, performance and analytics; Exchange and vendor data feeds and symbology, etc. Perform in-depth analysis of data, analytics, and workflows to improve processes and/or develop new work tools in collaboration with Tech and Development teams. Collaborate across a global organization to service both internal and external clients in a shared services environment. Partner with our product and coverage organization to service first-rate clientele, including many of the world's central banks, leading financial institutions, hedge funds, and corporations. Qualifications: Master's degree in Finance/Economics from a premier institute (including equivalents like CFA, CA, FRM) or an engineering degree with solid experience in finance. Working knowledge of financial markets data operations (Equity, Fixed Income, Alternate investments). Excellent communication skills (both written and presentation), with the ability to work in a multicultural environment. Self-starter with the drive to work independently with minimum oversight. Solid background in Excel and working knowledge of SQL . Experience working with IT teams, knowledge of charting tools (Tableau, Power BI etc.), and basic coding skills to build Proof of Concept models (Python, R, other scripting etc.) will be an added advantage. Desired Experience: Exposure to content/research work in Alternate Asset classes , especially digital assets, will be a plus. Experience in working with global vendors will be a plus (Reuters, Interactive Data, Factset etc.). Exposure to different work shifts and schedules (but No US night shift).

MSCI Services is looking for a Data Operations Associate to join our Shared Service Data operations team, with a specialized focus on Business Activity classification within Digital Assets . The MSCI Data team researches and evaluates companies, instruments, and other asset classes on a multitude of different factors. This role will be in charge of providing classification for Digital Assets and related asset types according to the Datonomy methodology , and managing their systematic upkeep. This position offers exposure to the full lifecycle of digital asset initiation, classification, ongoing maintenance, and its derived use in products across MSCI Index and other business units. Responsibilities: Be part of the team to re-engineer the Digital Asset classification operations . Work with the engineering team to design, build, and test systems . Build AI/LLM augmented QA, source transparency, and governance controls into the process. Integrate a unique digital asset identifier and an ongoing universe management process. Also responsible for working on other business classifications as part of the larger team, including issuer and business segment classification across different asset classes (Equities, Privates, Fixed Income issuers). Manage daily operations, coverage expansion, and internal and client query management. Gain exposure to Equity, Fixed Income & other related indexes, performance and analytics; Exchange and vendor data feeds and symbology, etc. Perform in-depth analysis of data, analytics, and workflows to improve processes and/or develop new work tools in collaboration with Tech and Development teams. Collaborate across a global organization to service both internal and external clients in a shared services environment. Partner with our product and coverage organization to service first-rate clientele, including many of the world's central banks, leading financial institutions, hedge funds, and corporations. Qualifications: Master's degree in Finance/Economics from a premier institute (including equivalents like CFA, CA, FRM) or an engineering degree with solid experience in finance. Working knowledge of financial markets data operations (Equity, Fixed Income, Alternate investments). Excellent communication skills (both written and presentation), with the ability to work in a multi-cultural environment. Self-starter with the drive to work independently with minimum oversight. Solid background in Excel and working knowledge of SQL . Experience working with IT teams, knowledge of charting tools (Tableau, Power BI etc.), and basic coding skills to build Proof of Concept models (Python, R, other scripting etc.) will be an added advantage. Desired Experience: Exposure to content/research work in Alternate Asset classes , especially digital assets, will be a plus. Experience in working with global vendors will be a plus (Reuters, Interactive Data, Factset etc.). Exposure to different work shifts and schedules (but No US night shift).

6-10 years of strong understanding of data pipeline/data warehouse management. - SQL Server/SSIS packages based. - Microsoft ADF & PowerBI based. - Snowflake on AWS Required Candidate profile - Strong SQL knowledge - Good experience in ITIL process (Incident, Change & problem management)

Monitor & maintain data pipelines & ETL processes to ensure reliability & performance Automate routine data operations tasks & optimize workflows for scalability & efficiency Troubleshoot & resolve data related issues, ensuring data quality Required Candidate profile 5+ years of experience into Data Operations role Should have proficiency with data pipeline tools like Apache Airflow Should have high proficiency into Python with Bash or Python with Shell scripting

Key Responsibilities: Market Data Operations: Maintain and validate daily market data inputs including yield curves, FX rates, equity prices, interest rates, and credit spreads. Monitor data feeds and ensure data integrity from sources like Bloomberg, Reuters, Markit, IDC, and internal systems. Troubleshoot data discrepancies and perform root cause analysis for incorrect valuations or PnL breaks. Support daily EOD processes, including static and dynamic data loads into front-office and middle-office systems. Support & Issue Resolution: Provide functional support to front-office traders, risk managers, and middle-office users on market data queries and breaks. Investigate data exceptions and resolve issues within agreed SLAs. Coordinate with IT for system enhancements, bug fixes, and incident resolution. Controls & Governance: Ensure compliance with internal controls, audit, and governance policies related to market data usage. Document and update standard operating procedures (SOPs), run books, and control frameworks. Participate in internal and external audits related to data governance and pricing controls. Project & Change Support: Support implementation of new products, system upgrades, and process automation related to market data handling. Contribute to UAT, data migration, and impact assessments for strategic initiatives or regulatory changes (e.g., FRTB, IFRS 13). Qualifications: Bachelor's degree in Finance, Economics, Mathematics, Computer Science, or related field. 36 years of experience in market data operations, pricing support, or middle office. Experience with financial instruments including fixed income, FX, derivatives, and equities. Key Skills & Competencies: Strong understanding of market data concepts and pricing methodologies (e.g., mark-to-market, bid/ask spreads, yield curves). Familiarity with Bloomberg, Reuters, Markit, IDC, or other market data providers. Proficiency in Excel (VBA preferred), SQL, or other data analysis tools. Good knowledge of middle office systems (e.g., Murex, Calypso, Summit, or proprietary trade platforms). Excellent problem-solving, analytical, and communication skills. Ability to work under pressure and manage priorities across multiple markets and time zones.

Company Overview. KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.. KKR's Gurugram office provides best in class services and solutions to our internal stakeholders and clients, drive organization wide process efficiency and transformation, and reflect KKR's global culture and values of teamwork and innovation. The office will contain multifunctional business capabilities and will be integral in furthering the growth and transformation of KKR.. Team Overview. KKR is building out an enterprise Data Operations group to collect, manage, and harness the power of data across our diverse business activities. The Data Operation Centre of Excellence (CoE) is a cross functional team dedicated to formulating & driving KKR’s enterprise data management strategy while also providing the operation leverage required to bring these strategies/frameworks to life. The Data Ops CoE will consists of 2 focus areas (pillars); Data Management and Data Delivery.. Position Overview. The role is responsible for executing data management processes aimed at ensuring clean and quality data in the KKR data ecosystem. They will be part of KKR’s enterprise data group which collects, manages, and harnesses the power of data across our diverse portfolio investments. They will work collaboratively across the firm to set standards & best practices for data management while providing the operating leverage to centrally support the roll-out/ execution of these frameworks. Roles & Responsibilities. Operational Excellence. Develop specifications as well as testing and enhancing tools/applications in conjunction with the IT team to maintain complete, accurate and up to date data. Maintain consistent, accurate and complete data within KKR’s data ecosystem. Implement data quality controls leveraging industry best tools i.e. Collibra. Create and maintain data quality reporting functionality as per business needs. Ensure data governance practices and activities are embedded across business units. Execute and manage ad hoc data related projects within specified deadlines. Collibra workflow development and maintenance. Stakeholder Management. Collaborate with engineering and IT to support and make recommendations for enhanced digital reporting capabilities and automated data reconciliation. Communicate and work closely with relevant teams to close data gaps in a clear and timely manner. Serve as point of contact for data-related questions and updates from various internal and external groups, delivering ad-hoc analytics to answer key business questions in a timely manner. Reporting & Governance. Design and document standard operating procedures for data management. Implement and own best in class data governance practices; ensuring that data is well defined & transparently documented. Qualifications. Bachelor’s Degree or equivalent work experience required. 2-4 years of data operation experience in financial services. Experience in a multinational Financial Services organization and/or Private Equity preferred. Ability to manage standard reports, templates & dashboards. Ability to validate and review data. Ability to provide support for internal stakeholders by sending reminders of emails, filling timesheets, collecting information as per service requests. Ability to adhere to the compliance requirements of processes. Ability to develop and enhance data protection and management tools or applications. Ability to design and execute data management focusing on data governance and data quality activities.. Experience of using tool like Collibra is a must.. Systems/ Tools/ Application knowledge:. Experience with process design and process enhancement. Proficiency in data operations and data management. Advanced proficiency in Excel. Skills in a BI tool such as Power BI. Advanced SQL skills. Experience with Python is a plus. Displays high attention to detail. Demonstrates outstanding initiative and strong work ethic. Focuses on delivery excellence and accountability. Displays team-work orientation and is highly collaborative. Displays strong integrity and professionalism. Builds strong relationships with local and global colleagues. Demonstrates strong track record in accuracy and organization. Demonstrates excellent written, verbal, and interpersonal communication skills. KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.. Show more Show less

What You'll Do. The Global Analytics and Insights (GAI) team is seeking an experienced and experienced Data Visualization Manager to lead our data-driven decision-making initiatives.. The ideal candidate will have a background in Power BI, expert-level SQL proficiency, to drive actionable insights and demonstrated leadership and mentoring experience, and an ability to drive innovation and manage complex projects.. You will become an expert in Avalara's financial, marketing, sales, and operations data.. This position will Report to Senior Manager. What Your Responsibilities Will Be. You will define and execute the organization's BI strategy, ensuring alignment with business goals.. You will Lead, mentor, and manage a team of BI developers and analysts, fostering a continuous learning.. You will Develop and implement robust data visualization and reporting solutions using Power BI.. You will Optimize data models, dashboards, and reports to provide meaningful insights and support decision-making.. You will Collaborate with business leaders, analysts, and cross-functional teams to gather and translate requirements into actionable BI solutions.. Be a trusted advisor to business teams, identifying opportunities where BI can drive efficiencies and improvements.. You will Ensure data accuracy, consistency, and integrity across multiple data sources.. You will Stay updated with the latest advancements in BI tools, SQL performance tuning, and data visualization best practices.. You will Define and enforce BI development standards, governance, and documentation best practices.. You will work closely with Data Engineering teams to define and maintain scalable data pipelines.. You will Drive automation and optimization of reporting processes to improve efficiency.. What You’ll Need To Be Successful. 8+ years of experience in Business Intelligence, Data Analytics, or related fields.. 5+ Expert proficiency in Power BI, including DAX, Power Query, data modeling, and dashboard creation.. 5+ years of strong SQL skills, with experience in writing complex queries, performance tuning, and working with large datasets.. Familiarity with cloud-based BI solutions (e.g., Azure Synapse, AWS Redshift, Snowflake) is a plus.. Should have understanding of ETL processes and data warehousing concepts.. Strong problem-solving, analytical thinking, and decision-making skills.. How We’ll Take Care Of You. Total Rewards. In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.. Health & Wellness. Benefits vary by location but generally include private medical, life, and disability insurance.. Inclusive culture and diversity. Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.. Learn more about our benefits by region here: Avalara North America. What You Need To Know About Avalara. We’re Avalara. We’re defining the relationship between tax and tech.. We’ve already built an industry-leading cloud compliance platform, processing nearly 40 billion customer API calls and over 5 million tax returns a year, and this year we became a billion-dollar business. Our growth is real, and we’re not slowing down until we’ve achieved our mission to be part of every transaction in the world.. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. Ownership and achievement go hand in hand here. We instill passion in our people through the trust we place in them.. We’ve been different from day one. Join us, and your career will be too.. We’re An Equal Opportunity Employer. Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.. Show more Show less