Delivery Manager - Data Quality & Data Governance -Client Reference Data - (25000O8L)
Missions
Job Description
Data Verification and Sourcing:
Understand the process and transfer the knowledge to the team in French and English depending upon the need
Validate and certify the accuracy of the data attributes like name , address , business activity etc by gathering the data from various registries and data providers like D&B, BVD, AVOX , ensuring all sourced information meets quality standards
Source documents from key client / third party websites / data providers like D&B, BVD, AVOX, Various Registries & Regulators, Search engines etc.
Remediation Projects:
Monitor and manage remediation efforts to address data discrepancies or quality issues identified during routine checks or specific projects
Quality Assurance:
Conduct consistency check and validate the data attributes before and after mass data onboarding/uploads to ensure alignment with procedural requirements
Certify the proofs and propose the correct data for all the attributes to business lines based on the analysis performed
Productivity and Escalation
Maintain productivity at 95% (remaining 3% devoted to cross training on the process & other PDP trainings; 2% learning Industry topics
Recognise sensitivity of mail and ensure to alert managers in case of escalation /higher management looped in the mail.
Ensure to distribute process changes /change management / business related information impacting process as part of Knowledge sharing initiative/team huddles/team meetings
Escalate delay in response from dependent teams to Prod Owners /Managers/Onshore Partners as per the escalation grid in case of dependency in process
Keep transparency in terms of utilization & availability
Skills required
Basic understanding of Investment Banking and its Clients, customers, vendors
Strong understanding of data quality standard and remediation processes
Proven experience in data analysis, data quality management or a similar role
Sensitive and adaptable to Business requirements in terms of Time Zone Coverage/availability
Technical
Navigating through Regional Registries/Regulators, External Regulated Sources.
Technical know-how of external providers will be an added advantage.
Functional knowledge on various regulations
Knowledge in MS-Office tools
Behavioural/Analytical
Drives for results
Communicates effectively
Solves problems and analyses issues
Takes initiatives and ownership
Profile
Skills required
Basic understanding of Investment Banking and its Clients, customers, vendors
Strong understanding of data quality standard and remediation processes
Proven experience in data analysis, data quality management or a similar role
Sensitive and adaptable to Business requirements in terms of Time Zone Coverage/availability
Technical
Navigating through Regional Registries/Regulators, External Regulated Sources.
Technical know-how of external providers will be an added advantage.
Functional knowledge on various regulations
Knowledge in MS-Office tools
Behavioural/Analytical
Drives for results
Communicates effectively
Solves problems and analyses issues
Takes initiatives and ownership
Responsibilities
Delivery Manager - Data Quality & Data Governance -Client Reference Data - (25000O8L)
Missions
Job Description
Data Verification and Sourcing:
Understand the process and transfer the knowledge to the team in French and English depending upon the need
Validate and certify the accuracy of the data attributes like name , address , business activity etc by gathering the data from various registries and data providers like D&B, BVD, AVOX , ensuring all sourced information meets quality standards
Source documents from key client / third party websites / data providers like D&B, BVD, AVOX, Various Registries & Regulators, Search engines etc.
Remediation Projects:
Monitor and manage remediation efforts to address data discrepancies or quality issues identified during routine checks or specific projects
Quality Assurance:
Conduct consistency check and validate the data attributes before and after mass data onboarding/uploads to ensure alignment with procedural requirements
Certify the proofs and propose the correct data for all the attributes to business lines based on the analysis performed
Productivity and Escalation
Maintain productivity at 95% (remaining 3% devoted to cross training on the process & other PDP trainings; 2% learning Industry topics
Recognise sensitivity of mail and ensure to alert managers in case of escalation /higher management looped in the mail.
Ensure to distribute process changes /change management / business related information impacting process as part of Knowledge sharing initiative/team huddles/team meetings
Escalate delay in response from dependent teams to Prod Owners /Managers/Onshore Partners as per the escalation grid in case of dependency in process
Keep transparency in terms of utilization & availability
Skills required
Basic understanding of Investment Banking and its Clients, customers, vendors
Strong understanding of data quality standard and remediation processes
Proven experience in data analysis, data quality management or a similar role
Sensitive and adaptable to Business requirements in terms of Time Zone Coverage/availability
Technical
Navigating through Regional Registries/Regulators, External Regulated Sources.
Technical know-how of external providers will be an added advantage.
Functional knowledge on various regulations
Knowledge in MS-Office tools
Behavioural/Analytical
Drives for results
Communicates effectively
Solves problems and analyses issues
Takes initiatives and ownership
Profile
Skills required
Basic understanding of Investment Banking and its Clients, customers, vendors
Strong understanding of data quality standard and remediation processes
Proven experience in data analysis, data quality management or a similar role
Sensitive and adaptable to Business requirements in terms of Time Zone Coverage/availability
Technical
Navigating through Regional Registries/Regulators, External Regulated Sources.
Technical know-how of external providers will be an added advantage.
Functional knowledge on various regulations
Knowledge in MS-Office tools
Behavioural/Analytical
Drives for results
Communicates effectively
Solves problems and analyses issues
Takes initiatives and ownership
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
What You'll Do
· Support Planview SaaS applications: monitoring, delivery coordination, and reporting.
· Work on trouble tickets, manage scripts, create SQL jobs, and troubleshoot IIS.
· Collaborate with customers, prospects, and internal teams to diagnose connectivity and performance issues.
· Create and maintain comprehensive project documentation
What You'll Bring
· Strong communication skills (verbal and written fluency in English).
· Willingness to work in night shifts to support US & European customers.
· Knowledge of MS Office Suite (Excel & PowerPoint preferred).
· Intermediate-level knowledge of SQL (Oracle SQL or Microsoft SQL preferred).
· Familiarity with project/agile/lean management tools (Planview, Clarizen, Clarity, CA PPM, Primavera, HP PPM, JIRA, Teamwork) is a plus
Responsibilities
What You'll Do
· Support Planview SaaS applications: monitoring, delivery coordination, and reporting.
· Work on trouble tickets, manage scripts, create SQL jobs, and troubleshoot IIS.
· Collaborate with customers, prospects, and internal teams to diagnose connectivity and performance issues.
· Create and maintain comprehensive project documentation
What You'll Bring
· Strong communication skills (verbal and written fluency in English).
· Willingness to work in night shifts to support US & European customers.
· Knowledge of MS Office Suite (Excel & PowerPoint preferred).
· Intermediate-level knowledge of SQL (Oracle SQL or Microsoft SQL preferred).
· Familiarity with project/agile/lean management tools (Planview, Clarizen, Clarity, CA PPM, Primavera, HP PPM, JIRA, Teamwork) is a plus
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
· Support and deliver data science engagements for India and South Asia Issuers , Acquirers and Merchants using multiple data sources.
· Develop Strategic benchmarking dashboards in tableau for top banks and Fintechs in India and South Asia market to identify strengths and opportunities in their portfolio.
· Storyboarding and creating insights from the dashboards and identify any gaps to market.
· Clearly communicate findings and recommendations, data-driven insights to stakeholders.
· Conduct Root Cause analysis of a particular event or trend
· Ensure consistency, standards & quality control of deliverables, with coding and project documentation up to date.
· Optimize and automate the benchmarking dashboards
Responsibilities
· Support and deliver data science engagements for India and South Asia Issuers , Acquirers and Merchants using multiple data sources.
· Develop Strategic benchmarking dashboards in tableau for top banks and Fintechs in India and South Asia market to identify strengths and opportunities in their portfolio.
· Storyboarding and creating insights from the dashboards and identify any gaps to market.
· Clearly communicate findings and recommendations, data-driven insights to stakeholders.
· Conduct Root Cause analysis of a particular event or trend
· Ensure consistency, standards & quality control of deliverables, with coding and project documentation up to date.
· Optimize and automate the benchmarking dashboards
Salary : Rs. 3,00,000.0 - Rs. 4,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Job Summary:
Test Engineer
• Roles and Responsibilities
Create test cases, scenarios, scripts from feature descriptions in JIRA board/test management tools. • Participate in sprint activities like planning, stand-up meetings. • Develop/create test cases/steps/scenarios based on user stories. • Execute manual and automated test cases, • Analyze results, report and track defects, verify fixes and perform follow-up work to resolve issues. • Debug automated test scripts and evaluate results to determine the source of anomalous results. • Create & execute regression, ad hoc, bug-verification test cases for final product. • Identify quality assurance process bottleneck and suggest actions for improvement • Knowledge about Bug cycle • Knowledge about Test Management Tools like JIRA, Qmetry, etc.
Responsibilities
• Required Skills
Good knowledge and understanding in implementing AI concepts. • • Strong experience in: o Test planning for cloud-native applications o Designing test cases including functional, edge, and negative scenarios • Solid understanding of different testing levels: o Unit testing o System testing o Integration testing o Load / performance testing o Security testing • Hands-on experience with test automation using Python, Cypress • Exposure to AWS or other cloud platforms • Experience with Infrastructure as Code (IaC) tools (Terraform preferred)
• Desired Skills:
Good knowledge and understanding in implementing AI concepts. • • Strong experience in: o Test planning for cloud-native applications o Designing test cases including functional, edge, and negative scenarios • Solid understanding of different testing levels: o Unit testing o System testing o Integration testing o Load / performance testing o Security testing • Hands-on experience with test automation using Python, Cypress • Exposure to AWS or other cloud platforms • Experience with Infrastructure as Code (IaC) tools (Terraform preferred)
• Soft Skills :
Good communication skill • Good team player • Ability to prioritize and problem-solve quickly • Passionate learner • Quick learner • Should adapt to changes in whenever required.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Partner with customers to understand their business objectives, challenges, and desired outcomes.
· Translate business requirements into detailed solution designs and implementation plans.
· Lead or support configuration workshops — defining processes, data structures, and workflows.
· Configure and customize Planview solutions (e.g., Portfolios, Capacity Planning, Financials, Analytics).
· Perform data migration, system validation, and user acceptance testing (UAT).
· Document configuration, workflows, and customer-specific processes.
· Conduct enablement and training sessions for customer administrators and end-users.
· Collaborate with internal teams — Sales, Product, Support, and Customer Success — to ensure delivery excellence.
· Identify opportunities for process improvement and recommend best practices.
· Support post-implementation optimization and enhancement cycles.
What You'll Bring
· 5+ years of experience in enterprise software implementation or consulting, ideally in PPM, PSA, or Agile portfolio management.
· Strong understanding of project management, resource planning, and portfolio governance processes.
· Experience with SaaS solution deployment — configuration, integration, reporting, and data migration.
· Excellent analytical, problem-solving, and communication skills.
· Ability to manage client expectations and lead customer-facing workshops.
· Bachelor’s degree in Engineering, Computer Science, or related field.
· Experience with Planview products (PPM Pro, Portfolios, AdaptiveWork, or Enterprise One) preferred.
· Willingness to travel up to 25% for customer engagements.
Preferred Qualifications
· Experience integrating Planview or similar platforms with third-party systems (ERP, HR, ITSM).
· Familiarity with BI/reporting tools such as Power BI or Tableau.
· Knowledge of Agile frameworks (SAFe, Scrum) and digital transformation initiatives.
· Experience with REST APIs, SSO, and cloud-based integrations.
· Planview Certification(s) or equivalent SaaS implementation credentials preferred.
Responsibilities
Partner with customers to understand their business objectives, challenges, and desired outcomes.
· Translate business requirements into detailed solution designs and implementation plans.
· Lead or support configuration workshops — defining processes, data structures, and workflows.
· Configure and customize Planview solutions (e.g., Portfolios, Capacity Planning, Financials, Analytics).
· Perform data migration, system validation, and user acceptance testing (UAT).
· Document configuration, workflows, and customer-specific processes.
· Conduct enablement and training sessions for customer administrators and end-users.
· Collaborate with internal teams — Sales, Product, Support, and Customer Success — to ensure delivery excellence.
· Identify opportunities for process improvement and recommend best practices.
· Support post-implementation optimization and enhancement cycles.
What You'll Bring
· 5+ years of experience in enterprise software implementation or consulting, ideally in PPM, PSA, or Agile portfolio management.
· Strong understanding of project management, resource planning, and portfolio governance processes.
· Experience with SaaS solution deployment — configuration, integration, reporting, and data migration.
· Excellent analytical, problem-solving, and communication skills.
· Ability to manage client expectations and lead customer-facing workshops.
· Bachelor’s degree in Engineering, Computer Science, or related field.
· Experience with Planview products (PPM Pro, Portfolios, AdaptiveWork, or Enterprise One) preferred.
· Willingness to travel up to 25% for customer engagements.
Preferred Qualifications
· Experience integrating Planview or similar platforms with third-party systems (ERP, HR, ITSM).
· Familiarity with BI/reporting tools such as Power BI or Tableau.
· Knowledge of Agile frameworks (SAFe, Scrum) and digital transformation initiatives.
· Experience with REST APIs, SSO, and cloud-based integrations.
· Planview Certification(s) or equivalent SaaS implementation credentials preferred.
Salary : Rs. 10,00,000.0 - Rs. 20,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
o 6–8 years in cards/payments, banking, or consulting with hands-on ownership of cards portfolio optimization, lifecycle programs, and campaign management.
o Experience with offer optimization, rewards strategy, merchant-funded offers, and partnerships.
o Familiarity with credit risk fundamentals (underwriting policy, line management) and their interaction with spend growth strategies.
Responsibilities
o 6–8 years in cards/payments, banking, or consulting with hands-on ownership of cards portfolio optimization, lifecycle programs, and campaign management.
o Experience with offer optimization, rewards strategy, merchant-funded offers, and partnerships.
o Familiarity with credit risk fundamentals (underwriting policy, line management) and their interaction with spend growth strategies.
Salary : Rs. 3,00,000.0 - Rs. 5,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Build statistically robust application and behavior scorecards; develop PD, LGD, and EAD models
· Design loss‑forecasting frameworks (vintage, roll‑rate/Markov, survival/hazard, GLM/GBM) at segment and portfolio levels.
· Engineer features from bureau, internal behavioral, transaction, device, and alternative data with rigorous data QC.
· Calibrate and backtest models; perform stability monitoring (PSI/CSI), discrimination (KS/AUC), and calibration tests.
· Implement explainability (reason codes/SHAP), bias/fair‑lending checks, and challenger/benchmark models.
· Align models to accounting and capital frameworks (IFRS 9 or CECL; Basel PD/LGD/EAD concepts).
· Development of credit card portfolio optimization data models to drive spends and engagement
· Portfolio Spends Growth – Targeting basis segments/persona, merchants, campaign recommendation to drive cross border
Responsibilities
Build statistically robust application and behavior scorecards; develop PD, LGD, and EAD models
· Design loss‑forecasting frameworks (vintage, roll‑rate/Markov, survival/hazard, GLM/GBM) at segment and portfolio levels.
· Engineer features from bureau, internal behavioral, transaction, device, and alternative data with rigorous data QC.
· Calibrate and backtest models; perform stability monitoring (PSI/CSI), discrimination (KS/AUC), and calibration tests.
· Implement explainability (reason codes/SHAP), bias/fair‑lending checks, and challenger/benchmark models.
· Align models to accounting and capital frameworks (IFRS 9 or CECL; Basel PD/LGD/EAD concepts).
· Development of credit card portfolio optimization data models to drive spends and engagement
· Portfolio Spends Growth – Targeting basis segments/persona, merchants, campaign recommendation to drive cross border
Salary : Rs. 3,00,000.0 - Rs. 5,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based AI services or on-premises solutions to create robust, production-ready pipelines. The work often includes applying generative artificial intelligence models to solve complex problems and enhance system capabilities. Additionally, the role may involve exploring various domains such as deep learning, neural networks, conversational agents, and image analysis to deliver innovative and efficient solutions that meet project requirements and business goals. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to ensure seamless integration of AI models into existing systems.- Continuously monitor and optimize AI applications for performance and scalability.- Document technical designs and processes to support knowledge sharing within the team.- Assist junior team members by providing guidance and support to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Generative AI.- Experience with designing and deploying AI models in cloud environments and on-premises infrastructure.- Strong understanding of deep learning frameworks and neural network architectures.- Familiarity with building conversational AI systems such as chatbots.- Knowledge of image processing techniques and their application in AI solutions. Additional Information: - The candidate should have minimum 2 years of experience in Generative AI.- This position is based at our Mumbai office.- A 15 years full time education is required.
Responsibilities
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based AI services or on-premises solutions to create robust, production-ready pipelines. The work often includes applying generative artificial intelligence models to solve complex problems and enhance system capabilities. Additionally, the role may involve exploring various domains such as deep learning, neural networks, conversational agents, and image analysis to deliver innovative and efficient solutions that meet project requirements and business goals. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to ensure seamless integration of AI models into existing systems.- Continuously monitor and optimize AI applications for performance and scalability.- Document technical designs and processes to support knowledge sharing within the team.- Assist junior team members by providing guidance and support to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Generative AI.- Experience with designing and deploying AI models in cloud environments and on-premises infrastructure.- Strong understanding of deep learning frameworks and neural network architectures.- Familiarity with building conversational AI systems such as chatbots.- Knowledge of image processing techniques and their application in AI solutions. Additional Information: - The candidate should have minimum 2 years of experience in Generative AI.- This position is based at our Mumbai office.- A 15 years full time education is required.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Job Summary:
Test Engineer
• Roles and Responsibilities
Perform requirement analysis and document the scope for testing. Create test cases and update the test case as per review comments. Test case execution. Automation script creation and execution.
• Required Skills
Manual Testing Embedded Testing Python scripting
Responsibilities
• Desired Skills:
Manual Testing Embedded Testing Python scripting
• Soft Skills :
Good comunication skill Team collaboration.
• Other Specific Requirements
Show interest to learn new technology.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
