Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our team combines traditional management consulting with Mastercard s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firms intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience coaching and managing teams across multiple projects Experience managing key client relationships Knowledge of business KPIs, financials and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Data and analytics experience such as working with data analytics software (eg, Python, R, SQL, SAS), building, managing, and maintaining database structures, working with data visualization tools (eg, Tableau, Power BI) Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as we'll as apply for travel visas as required by travel needs Preferred qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise masters degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required)

Lead Business Analyst - Data will be responsible for conducting Voice of the Customer (VOC) analyses, leveraging a wide range of analytical and data visualization tools to uncover and communicate opportunities to improve the customers experience. Leveraging analytical tools such as Qualtrics, Tableau, and SAS, the Voice of the Customer team analyzes customer behavioral data and open-ended customer feedback TriNet receives through various sources, including: Net Promoter surveys, CSAT surveys, website and app intercept feedback, product feedback, customer engagement data, and customer demographic data. The Lead Analyst will collaborate with internal business stakeholders to: Deliver real-time, actionable customer insights, leveraging all tools and resources available. Integrate qualitative and quantitative customer feedback responses with customer behavioral data to address targeted business questions. Supporting the Net Promoter System program, including measurement of NPS, analysis of the drivers of NPS, and management of the Closed Loop process. Continuously improve the effectiveness and efficiency of the teams research and analysis methodologies, processes, and deliverables." Essential Duties/Responsibilities Regular exposure to complex, cross functional projects in either a project or program management capacity. Experience in presenting data visually to tell a clear story. Experience in presentation and translation of complex findings into layman s terms. Experience with unstructured data analysis, including text analytics. Experience with and understanding of data and analysis tools, including Tableau and SAS. Experience with and understanding of various statistical methods. Proficient in Microsoft Office Suite, particularly Excel and PowerPoint. Excellent analytical skills, including strong business acumen. Ability to communicate, build trust, and influence employees at all levels of the organization. Ability to adapt to a fast paced, continually changing business and work environment while managing multiple priorities. A demonstrated commitment to high professional ethical standards and a diverse workplace." Performs other duties as assigned Complies with all policies and standards QUALIFICATIONS Education Bachelors Degree or equivalent experience preferred Work Experience Typically 8+ years Work Environment: Work in a clean, pleasant, and comfortable office work setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. This position is 100% in office

HEOR analyst role that contributes to the generation of insights and solutions into ways of improving real-world patient outcomes. Role is focused on projects that will impact decision-making in various health care systems on treatment innovations, care provision and access. Essential Functions Produce materials and services relating to the Health Economics Outcomes Research business areas (health economic modelling, evidence synthesis, statistical analysis, health technology assessment submissions, report and publication development for value communication) that generate value for our clients Engage with large data sets and apply real-world data to health economic decision-support tools Develop your project management skills through client liaison and collaboration with senior project managers Contribute to business development as we'll as internal initiatives for the advancement of innovative methodological approaches Work closely with a diverse range of peers, project managers Qualifications A degree in science, economics, mathematics, statistics, computer science or another relevant discipline. Strong numeracy and quantitative skills as we'll as competency using MS Excel and statistical packages (eg, Stata, R, SAS) Capable of tackling loosely defined problems analytically and applying pragmatic and logical problem-solving skills. Communicative person that values building strong relationships with colleagues and clients and have the ability to explain complex topics in simple terms and in a structured way, both spoken and written.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle. Understanding client requirements, develop data analytics strategy and solution that meets client requirements Apply knowledge and explain the benefits to organizations adopting strategies relating to NextGen/ New age Data Capabilities Be proficient in evaluating new technologies and identifying practical business cases to develop enhanced business value and increase operating efficiency Architect large scale AI/ML products/systems impacting large scale clients across industry Own end to end solutioning and delivery of data analytics/transformation programs Mentor and inspire a team of data scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art solution Liaise with colleagues and business leaders across Domestic & Global Regions to deliver impactful analytics projects and drive innovation at scale Assist sales team in reviewing RFPs, Tender documents, and customer requirements Developing high-quality and impactful demonstrations, proof of concept pitches, solution documents, presentations, and other pre-sales assets Have in-depth business knowledge across a breath of functional areas across sectors such as CPRD/FS/MALS/Utilities/TMT Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Minimum 10 years + on Job experience in data analytics with at least 7 years ofCPRD, FS, MALS, Utilities, TMT or other relevant domain experience required Specialization in data science, data engineering or advance analytics filed is strongly recommended Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision Good, applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. At least 7 years experience deploying digital and data science solutions on large scale project is required At least 7 years experience leading / managing a data Science team is required Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Major Duties: 1. Responsible for performing a variety of moderately complex analytical duties or executes model related activities for risk models used by the Corporation 2. Ensures model development, monitoring, and validation approaches meet regulatory expectations and internal risk management needs 3. Provides analytical or risk measurement support to help meet both internal corporate and regulatory requirements 4. Supports development of comprehensive documentation and testing of risk management framework 5. Carries out moderately complex activities with significant financial, client, and/or internal business impact 6. Responsible for interaction with different committees and senior management 7. Able to serve as a key subject matter expert and mentor to other more junior level employees 8. May manage daily operational activities and supervise day-to-day work of junior level employees (but not a formal management role) 9. More technically sound in area of expertise and has broader knowledge of other areas 10. Delivers a work product that requires little revision 11. Able to facilitate discussions and reach decisions Knowledge: Excellent oral and written communication skills are required when interacting with committees and/or management Knowledge of risk measurement required to support function Analytical and problem solving skills are preferred Technical skills / systems knowledge (e.g.SAS, Matlab, Advanced Excel) is preferred Experience: A College or University degree and/or relevant proven work experience is required Advanced degree in related field (math, statistics, economics) or equivalent career experience preferred. Related Industry qualification is preferred. A relevant work experience of 4 to 6 years is required.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job purpose: Need to work as a Technology or Functional Consultant in FinCrime solutions modernisation and transformation projects Should exhibit understanding of financial services during the client discussions and be able to articulate the client requirements into tech specs Contribute as team player in a team of consultants to be able to deliver large technology programs Work Experience Requirements Understand high-level business requirements and relate them to appropriate AML / FinCrime product capabilities Define and validate customisation needs for AML products as per client requirements. Review client processes and workflows and make recommendations to the client to maximise benefits from the AML Product. Show in-depth knowledge on best banking practices and AML product modules Prior experience in one of more COTS such as NetReveal , Norkom, Actimize, SAS AML VI/VIA, fircosoft or Quantexa Your client responsibilities: Need to work as a Technical Business Systems Analyst in one or more FinCrime projects. Interface and communicate with the onsite coordinators Completion of assigned tasks on time and regular status reporting to the lead Regular status reporting to the Manager and onsite coordinators Interface with the customer representatives as and when needed Willing to travel to the customers locations on need basis Mandatory skills: Technical: Expert in the following NetReveal modules: Scenario Manager Configuration, Application Builder, Base Platform, Workflow Configurator, Services Manager, Batch bridge, Scheduling Configuration, Command and Control, AML module, Expert in Velocity template. NetReveal Optimization module, Multi-entity and mutli-currency platform, Cloud platform, REST API development using Java. CI/CD technologies (BitBucket, Jenkins, Nexus, Serena). Container Technologies such as Docker, Kubernetes. NetReveal v7.4 or above, Proficient in Oracle SQL, PL/SQL, Websphere Application Server Experience in Agile Methodology SQL and Understanding of Bigdata tech such as Spark, Hadoop, or Elasticsearch Scripting/ Programming: At least one programming/scripting language amongst Python, Java or Unix Shell Script Experience in product migration, implementation - preferably been part of at least 1 AML implementations Act as the Subject Matter Expert (SME) and possess an excellent functional/operational knowledge of the activities performed by the various teams Should Posses high-level understanding of infrastructure designs, data model and application/business architecture. Functional : Thorough knowledge of the AML/CTF transactions monitoring, KYC, Sanctions process Thorough knowledge on Transaction monitoring and scenarios Should have developed one or more modules worked on KYC - know your customer, CDD- customer due diligence, EDD - enhanced due diligence, sanction screening, PE - politically exposed person, adverse media screening, TM- transaction monitoring, CM- Case Management. Thorough knowledge of case management workflows Preferred Work Location: This position offers flexibility to work from any EY GDS office in India Education And Experience – Mandatory MBA/ MCA/ BE/ BTech or equivalent with banking industry experience of 3 to 4 years EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity We are looking for a Senior Consultant to join our General Insurance Actuarial Practice, delivering solutions to leading clients in the Insurance Sector. You will work closely with other staff/assistants, consultants/seniors, managers, senior managers, or client partners in EY’s global network of insurance sector and consulting professionals. Within our talented and dynamic Actuarial team, members work on multiple client engagement teams that perform CAT modeling, actuarial model building and validations, reserving (actuarial liability estimation), due diligence, valuation analysis for IFRS, GAAP, and statutory calculations and reviews, capital/risk modeling, and other related actuarial projects for General and Health insurance businesses. Team members also receive on-the-job training to acquire practical experience in addressing business/technical issues and in applying industry knowledge and EY policies/procedures on client engagements. The position is designed to enable members to pursue actuarial exams while developing the basic skills needed to be successful actuarial consultants, combining excellent learning and career opportunities. Our growing team of professionals comes from diverse backgrounds, all committed to being long-term trusted advisors to our clients. Your Key Responsibilities As a Senior Consultant within the Actuarial team, your role involves developing and implementing solutions both within the Insurance service line and in collaboration with other service lines. On engagements, you will: Be responsible for providing high-quality results and generating effective solutions while working alongside Senior Consultants, Managers, or Senior Managers in delivering the project. Provide focused solutions and training to staff members. Ensure all engagements are delivered on time. Deliver engagements in line with our values and commitment to quality, ensuring that work meets high standards. Establish/manage priorities, communicate the status of activities, and accumulate/report all chargeable hours. Within the actuarial practice you will: Collect and assess catastrophe exposure data, ensuring data quality and the necessary assumptions for risk modeling. Prepare and analyze data and modeling results for portfolio management and reinsurance renewal projects. Evaluate changes in exposures and their impact on catastrophe model results, effectively communicating findings to internal stakeholders. Model probability distributions of gross, ceded, and net results using RMS or other vendor catastrophe modeling software. Analyze how result distributions and relevant risk measures vary with different reinsurance program alternatives. Contribute to the development and enhancement of proprietary catastrophe modeling and mapping tools. Lead internal catastrophe modeling projects and initiatives. Review monthly reports to assess and manage exposure strategies and ongoing portfolio optimization. Conduct risk analytics, including the development of analytical tools and support for risk analysis. Familiarity with RMS, AIR, ARIUS, Alteryx, IGLOO, ResQ, or other actuarial general insurance software is preferred but not required. Stay updated on current business and economic developments relevant to the industry and geography. We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. Skills And Attributes For Success Skills and attributes for a successful career at EY require a learning mindset and passion to add value to GDS, member firms and client organizations. Bright and enthusiastic individuals who give their all to each assignment they work on will find themselves at home within our energetic GDS actuarial team. To qualify for the role, you must have 4+ years of CAT modeling experience, with in-depth knowledge of the underlying model methodologies and assumptions. An understanding of the insurance industry and product lines. Technical expertise working with RMS or other catastrophe models. Superior data management skills, with the ability to manipulate, interpret, and extrapolate complex data. Strong communication and presentation skills, with the ability to translate complex technical analysis and concepts into easily understandable terms. The ability to multi-task and a flexible work attitude, along with good analytical skills. Experience in handling a small team will be an advantage. Proficiency in MS Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus. Ideally, you’ll also have A strong academic background with a bachelor’s degree emphasizing actuarial science, mathematics, statistics, or finance, ideally supplemented with a professional qualification. Strong written and verbal communication skills for report writing, industry studies, and stakeholder presentations. Overseas exposure (US/UK/Australia market experience). What We Look For Deep knowledge and experience in the insurance industry and/or consulting. Relevant recent Big 4 experience in leading actuarial engagements with recognized insurers will be an advantage. This should ideally be complemented by employment experience within the insurance sector, either at an insurer, intermediary, or regulator. Up-to-date knowledge of the regulatory environment impacting insurers and other financial service organizations. Experience in supporting teams to deliver high-quality, timely results, actively building relationships, and promoting a collaborative culture when working with colleagues. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job purpose: Need to work as a Technology or Functional Consultant in FinCrime solutions modernisation and transformation projects Should exhibit understanding of financial services during the client discussions and be able to articulate the client requirements into tech specs Contribute as team player in a team of consultants to be able to deliver large technology programs Work Experience Requirements Understand high-level business requirements and relate them to appropriate AML / FinCrime product capabilities Define and validate customisation needs for AML products as per client requirements. Review client processes and workflows and make recommendations to the client to maximise benefits from the AML Product. Show in-depth knowledge on best banking practices and AML product modules Prior experience in one of more COTS such as NetReveal , Norkom, Actimize, SAS AML VI/VIA, fircosoft or Quantexa Your client responsibilities: Need to work as a Technical Business Systems Analyst in one or more FinCrime projects. Interface and communicate with the onsite coordinators Completion of assigned tasks on time and regular status reporting to the lead Regular status reporting to the Manager and onsite coordinators Interface with the customer representatives as and when needed Willing to travel to the customers locations on need basis Mandatory skills: Technical: Expert in the following NetReveal modules: Scenario Manager Configuration, Application Builder, Base Platform, Workflow Configurator, Services Manager, Batch bridge, Scheduling Configuration, Command and Control, AML module, Expert in Velocity template. NetReveal Optimization module, Multi-entity and mutli-currency platform, Cloud platform, REST API development using Java. CI/CD technologies (BitBucket, Jenkins, Nexus, Serena). Container Technologies such as Docker, Kubernetes. NetReveal v7.4 or above, Proficient in Oracle SQL, PL/SQL, Websphere Application Server Experience in Agile Methodology SQL and Understanding of Bigdata tech such as Spark, Hadoop, or Elasticsearch Scripting/ Programming: At least one programming/scripting language amongst Python, Java or Unix Shell Script Experience in product migration, implementation - preferably been part of at least 1 AML implementations Act as the Subject Matter Expert (SME) and possess an excellent functional/operational knowledge of the activities performed by the various teams Should Posses high-level understanding of infrastructure designs, data model and application/business architecture. Functional : Thorough knowledge of the AML/CTF transactions monitoring, KYC, Sanctions process Thorough knowledge on Transaction monitoring and scenarios Should have developed one or more modules worked on KYC - know your customer, CDD- customer due diligence, EDD - enhanced due diligence, sanction screening, PE - politically exposed person, adverse media screening, TM- transaction monitoring, CM- Case Management. Thorough knowledge of case management workflows Preferred Work Location: This position offers flexibility to work from any EY GDS office in India Education And Experience – Mandatory MBA/ MCA/ BE/ BTech or equivalent with banking industry experience of 3 to 4 years EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job purpose: Need to work as a Technology or Functional Consultant in FinCrime solutions modernisation and transformation projects Should exhibit understanding of financial services during the client discussions and be able to articulate the client requirements into tech specs Contribute as team player in a team of consultants to be able to deliver large technology programs Work Experience Requirements Understand high-level business requirements and relate them to appropriate AML / FinCrime product capabilities Define and validate customisation needs for AML products as per client requirements. Review client processes and workflows and make recommendations to the client to maximise benefits from the AML Product. Show in-depth knowledge on best banking practices and AML product modules Prior experience in one of more COTS such as NetReveal , Norkom, Actimize, SAS AML VI/VIA, fircosoft or Quantexa Your client responsibilities: Need to work as a Technical Business Systems Analyst in one or more FinCrime projects. Interface and communicate with the onsite coordinators Completion of assigned tasks on time and regular status reporting to the lead Regular status reporting to the Manager and onsite coordinators Interface with the customer representatives as and when needed Willing to travel to the customers locations on need basis Mandatory skills: Technical: Expert in the following NetReveal modules: Scenario Manager Configuration, Application Builder, Base Platform, Workflow Configurator, Services Manager, Batch bridge, Scheduling Configuration, Command and Control, AML module, Expert in Velocity template. NetReveal Optimization module, Multi-entity and mutli-currency platform, Cloud platform, REST API development using Java. CI/CD technologies (BitBucket, Jenkins, Nexus, Serena). Container Technologies such as Docker, Kubernetes. NetReveal v7.4 or above, Proficient in Oracle SQL, PL/SQL, Websphere Application Server Experience in Agile Methodology SQL and Understanding of Bigdata tech such as Spark, Hadoop, or Elasticsearch Scripting/ Programming: At least one programming/scripting language amongst Python, Java or Unix Shell Script Experience in product migration, implementation - preferably been part of at least 1 AML implementations Act as the Subject Matter Expert (SME) and possess an excellent functional/operational knowledge of the activities performed by the various teams Should Posses high-level understanding of infrastructure designs, data model and application/business architecture. Functional : Thorough knowledge of the AML/CTF transactions monitoring, KYC, Sanctions process Thorough knowledge on Transaction monitoring and scenarios Should have developed one or more modules worked on KYC - know your customer, CDD- customer due diligence, EDD - enhanced due diligence, sanction screening, PE - politically exposed person, adverse media screening, TM- transaction monitoring, CM- Case Management. Thorough knowledge of case management workflows Preferred Work Location: This position offers flexibility to work from any EY GDS office in India Education And Experience – Mandatory MBA/ MCA/ BE/ BTech or equivalent with banking industry experience of 3 to 4 years EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Skill required: Tech for Operations - Product Development Management Designation: App Automation Eng Senior Manager Qualifications: Any Graduation Years of Experience: 15 to 25 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 part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model and drive exceptional results. Overall 15+ years of delivery and software implementation experience, good exposure in Customer Operations and Sales Operations domainSignificant and varied technology implementation experience in Customer Operations landscape for large clients enabling automation, digital adoption and customer successExperience in implementing in-house assets and third-party products such as AWS Connect, Genesys Cloud, Salesforce, Zendesk etc. and working closely with product vendors would be highly desirable Possesses strong analytical and problem-solving skills, with the ability to identify and resolve complex issues to closure in a timely mannerShould be assertive and have latitude in decision-making and determination of objectives and approaches to critical assignmentsCollaborate effectively with cross-functional teams and stakeholders across different levels of the organization (both internal and external)Excellent communication, executive presentation, and highly refined interpersonal skillsDriven to make customers successful, regardless of challenges or obstacles and be result-orientedUnderstand business processes and interactions with IT systems/ERPAbility to assess risks proactively and mitigate those in a timely manner What are we looking for Overall 15+ years of delivery and software implementation experience, good exposure in Customer Operations and Sales Operations domain Significant and varied technology implementation experience in Customer Operations landscape for large clients enabling automation, digital adoption and customer success Experience in implementing in-house assets and third-party products such as AWS Connect, Genesys Cloud, Salesforce, Zendesk etc. and working closely with product vendors would be highly desirable Possesses strong analytical and problem-solving skills, with the ability to identify and resolve complex issues to closure in a timely manner Should be assertive and have latitude in decision-making and determination of objectives and approaches to critical assignments Collaborate effectively with cross-functional teams and stakeholders across different levels of the organization Excellent communication, executive presentation, and highly refined interpersonal skills Driven to make customers successful, regardless of challenges or obstacles and be result-oriented Understand business processes and interactions with IT systems/ERP Ability to assess risks proactively and mitigate in a timely manner Roles and Responsibilities: In this role you are required to deliver technological solutions to our clients by working closely with Operations delivery and transformation teams to maximize intended operational and business benefits effectivelyRequires involvement in setting strategic directions to establish near-term goals for area(s) of responsibility and should drive asset adoption activelyInteraction with senior management levels at client and/or within Accenture, involving negotiating or influencing on design aspects, product roadmap definition and in realizing outcomesManages teams effectively and motivates through personal excellenceTakes full responsibility to resolve any issues in delivery in a timely manner by liaising with necessary stakeholders successfullyManages the Product Managers/Leads for each individual technology component of the solution.Participate in regular periodic status calls with account leadership and Steering CommitteeLocation :Role is based in Bangalore, but other locations considered for exceptional candidates. This role will require daily coordination among stakeholders in India, Europe, Philippines, and North America. Qualification Any Graduation

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity We are looking for a Senior Consultant to join our General Insurance Actuarial Practice, delivering solutions to leading clients in the Insurance Sector. You will work closely with other staff/assistants, consultants/seniors, managers, senior managers, or client partners in EY’s global network of insurance sector and consulting professionals. Within our talented and dynamic Actuarial team, members work on multiple client engagement teams that perform CAT modeling, actuarial model building and validations, reserving (actuarial liability estimation), due diligence, valuation analysis for IFRS, GAAP, and statutory calculations and reviews, capital/risk modeling, and other related actuarial projects for General and Health insurance businesses. Team members also receive on-the-job training to acquire practical experience in addressing business/technical issues and in applying industry knowledge and EY policies/procedures on client engagements. The position is designed to enable members to pursue actuarial exams while developing the basic skills needed to be successful actuarial consultants, combining excellent learning and career opportunities. Our growing team of professionals comes from diverse backgrounds, all committed to being long-term trusted advisors to our clients. Your Key Responsibilities As a Senior Consultant within the Actuarial team, your role involves developing and implementing solutions both within the Insurance service line and in collaboration with other service lines. On engagements, you will: Be responsible for providing high-quality results and generating effective solutions while working alongside Senior Consultants, Managers, or Senior Managers in delivering the project. Provide focused solutions and training to staff members. Ensure all engagements are delivered on time. Deliver engagements in line with our values and commitment to quality, ensuring that work meets high standards. Establish/manage priorities, communicate the status of activities, and accumulate/report all chargeable hours. Within the actuarial practice you will: Collect and assess catastrophe exposure data, ensuring data quality and the necessary assumptions for risk modeling. Prepare and analyze data and modeling results for portfolio management and reinsurance renewal projects. Evaluate changes in exposures and their impact on catastrophe model results, effectively communicating findings to internal stakeholders. Model probability distributions of gross, ceded, and net results using RMS or other vendor catastrophe modeling software. Analyze how result distributions and relevant risk measures vary with different reinsurance program alternatives. Contribute to the development and enhancement of proprietary catastrophe modeling and mapping tools. Lead internal catastrophe modeling projects and initiatives. Review monthly reports to assess and manage exposure strategies and ongoing portfolio optimization. Conduct risk analytics, including the development of analytical tools and support for risk analysis. Familiarity with RMS, AIR, ARIUS, Alteryx, IGLOO, ResQ, or other actuarial general insurance software is preferred but not required. Stay updated on current business and economic developments relevant to the industry and geography. We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. Skills And Attributes For Success Skills and attributes for a successful career at EY require a learning mindset and passion to add value to GDS, member firms and client organizations. Bright and enthusiastic individuals who give their all to each assignment they work on will find themselves at home within our energetic GDS actuarial team. To qualify for the role, you must have 4+ years of CAT modeling experience, with in-depth knowledge of the underlying model methodologies and assumptions. An understanding of the insurance industry and product lines. Technical expertise working with RMS or other catastrophe models. Superior data management skills, with the ability to manipulate, interpret, and extrapolate complex data. Strong communication and presentation skills, with the ability to translate complex technical analysis and concepts into easily understandable terms. The ability to multi-task and a flexible work attitude, along with good analytical skills. Experience in handling a small team will be an advantage. Proficiency in MS Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus. Ideally, you’ll also have A strong academic background with a bachelor’s degree emphasizing actuarial science, mathematics, statistics, or finance, ideally supplemented with a professional qualification. Strong written and verbal communication skills for report writing, industry studies, and stakeholder presentations. Overseas exposure (US/UK/Australia market experience). What We Look For Deep knowledge and experience in the insurance industry and/or consulting. Relevant recent Big 4 experience in leading actuarial engagements with recognized insurers will be an advantage. This should ideally be complemented by employment experience within the insurance sector, either at an insurer, intermediary, or regulator. Up-to-date knowledge of the regulatory environment impacting insurers and other financial service organizations. Experience in supporting teams to deliver high-quality, timely results, actively building relationships, and promoting a collaborative culture when working with colleagues. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job purpose: Need to work as a Technology or Functional Consultant in FinCrime solutions modernisation and transformation projects Should exhibit understanding of financial services during the client discussions and be able to articulate the client requirements into tech specs Contribute as team player in a team of consultants to be able to deliver large technology programs Work Experience Requirements Understand high-level business requirements and relate them to appropriate AML / FinCrime product capabilities Define and validate customisation needs for AML products as per client requirements. Review client processes and workflows and make recommendations to the client to maximise benefits from the AML Product. Show in-depth knowledge on best banking practices and AML product modules Prior experience in one of more COTS such as NetReveal , Norkom, Actimize, SAS AML VI/VIA, fircosoft or Quantexa Your client responsibilities: Need to work as a Technical Business Systems Analyst in one or more FinCrime projects. Interface and communicate with the onsite coordinators Completion of assigned tasks on time and regular status reporting to the lead Regular status reporting to the Manager and onsite coordinators Interface with the customer representatives as and when needed Willing to travel to the customers locations on need basis Mandatory skills: Technical: Expert in the following NetReveal modules: Scenario Manager Configuration, Application Builder, Base Platform, Workflow Configurator, Services Manager, Batch bridge, Scheduling Configuration, Command and Control, AML module, Expert in Velocity template. NetReveal Optimization module, Multi-entity and mutli-currency platform, Cloud platform, REST API development using Java. CI/CD technologies (BitBucket, Jenkins, Nexus, Serena). Container Technologies such as Docker, Kubernetes. NetReveal v7.4 or above, Proficient in Oracle SQL, PL/SQL, Websphere Application Server Experience in Agile Methodology SQL and Understanding of Bigdata tech such as Spark, Hadoop, or Elasticsearch Scripting/ Programming: At least one programming/scripting language amongst Python, Java or Unix Shell Script Experience in product migration, implementation - preferably been part of at least 1 AML implementations Act as the Subject Matter Expert (SME) and possess an excellent functional/operational knowledge of the activities performed by the various teams Should Posses high-level understanding of infrastructure designs, data model and application/business architecture. Functional : Thorough knowledge of the AML/CTF transactions monitoring, KYC, Sanctions process Thorough knowledge on Transaction monitoring and scenarios Should have developed one or more modules worked on KYC - know your customer, CDD- customer due diligence, EDD - enhanced due diligence, sanction screening, PE - politically exposed person, adverse media screening, TM- transaction monitoring, CM- Case Management. Thorough knowledge of case management workflows Preferred Work Location: This position offers flexibility to work from any EY GDS office in India Education And Experience – Mandatory MBA/ MCA/ BE/ BTech or equivalent with banking industry experience of 3 to 4 years EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Develop SAP BW-IP data flow in S4 HANA system. Provide inputs on data modelling between BW 7.4 on HANA and native HANA using Composite provider, ADSO and open ODS view Excellent communication skills both verbal & written in English are required. Self-motivated, capable to manage own workload with minimum supervision. Creating complex, enterprise-transforming applications within a dynamic, progressive, technically diverse environment Location : Pan India

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job purpose: Need to work as a Technology or Functional Consultant in FinCrime solutions modernisation and transformation projects Should exhibit understanding of financial services during the client discussions and be able to articulate the client requirements into tech specs Contribute as team player in a team of consultants to be able to deliver large technology programs Work Experience Requirements Understand high-level business requirements and relate them to appropriate AML / FinCrime product capabilities Define and validate customisation needs for AML products as per client requirements. Review client processes and workflows and make recommendations to the client to maximise benefits from the AML Product. Show in-depth knowledge on best banking practices and AML product modules Prior experience in one of more COTS such as NetReveal , Norkom, Actimize, SAS AML VI/VIA, fircosoft or Quantexa Your client responsibilities: Need to work as a Technical Business Systems Analyst in one or more FinCrime projects. Interface and communicate with the onsite coordinators Completion of assigned tasks on time and regular status reporting to the lead Regular status reporting to the Manager and onsite coordinators Interface with the customer representatives as and when needed Willing to travel to the customers locations on need basis Mandatory skills: Technical: Expert in the following NetReveal modules: Scenario Manager Configuration, Application Builder, Base Platform, Workflow Configurator, Services Manager, Batch bridge, Scheduling Configuration, Command and Control, AML module, Expert in Velocity template. NetReveal Optimization module, Multi-entity and mutli-currency platform, Cloud platform, REST API development using Java. CI/CD technologies (BitBucket, Jenkins, Nexus, Serena). Container Technologies such as Docker, Kubernetes. NetReveal v7.4 or above, Proficient in Oracle SQL, PL/SQL, Websphere Application Server Experience in Agile Methodology SQL and Understanding of Bigdata tech such as Spark, Hadoop, or Elasticsearch Scripting/ Programming: At least one programming/scripting language amongst Python, Java or Unix Shell Script Experience in product migration, implementation - preferably been part of at least 1 AML implementations Act as the Subject Matter Expert (SME) and possess an excellent functional/operational knowledge of the activities performed by the various teams Should Posses high-level understanding of infrastructure designs, data model and application/business architecture. Functional : Thorough knowledge of the AML/CTF transactions monitoring, KYC, Sanctions process Thorough knowledge on Transaction monitoring and scenarios Should have developed one or more modules worked on KYC - know your customer, CDD- customer due diligence, EDD - enhanced due diligence, sanction screening, PE - politically exposed person, adverse media screening, TM- transaction monitoring, CM- Case Management. Thorough knowledge of case management workflows Preferred Work Location: This position offers flexibility to work from any EY GDS office in India Education And Experience – Mandatory MBA/ MCA/ BE/ BTech or equivalent with banking industry experience of 3 to 4 years EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Demonstrate quantitative skills and well versed with data wrangling methods. Develop, Review, Validation of Basel/Capital model on risk factors PD, LGD, Credit Portfolio) for retail and wholesale portfolios. Documentation aspect of model development is key as are the skills to present this information to peer review and independent review of model governance committees. Manage Basel Modelling, PD, LGD Model Development Develop / validate risk measurement models for credit risk management, incl. models for credit rating and scorecards. Collate, test and check independently sourced economics data (forecast and stress) and assess its robustness and fitness for purpose of model development. Demonstrate Credit Risk Model Development. Ensure adequate documentation and analysis in place for model review committee which involves peer review and independent review committees Prepare effective material for dissemination to key business stakeholders at all levels of seniority and obtain approval by the clients Support ad-hoc requests in support of the business as necessary Ensure timelines around project deliverable are met and all the stake holders are informed about the status of the projects Drive standardization of analysis and processes to gain efficiency If you thrive in a dynamic, collaborative workplace, IBM provides an environment where you will be challenged and inspired every single day. And if you relish the freedom to bring creative, thoughtful solutions to the table, there's no limit to what you can accomplish here. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate or postgraduate with a minimum of6+ years of experience in theFinance domain Proven Mathematician/Statisticianor quantitative background with knowledge of economic and econometric models (at least master's degree). Working knowledge SAS / Python and R. Exposure to Basel Modelling, PD, LGD Model Development and Validation, economic capital modelling, from any Competitoror bank / with Risk Management experience in the wholesale and retail area. Proven communication skills with technical (the team) and non-technical (senior entity management around the globe) counterparts. Proficient in high customer orientation and conflict management Working knowledge of credit risk or Basel/capital model development Ability to convert business needs into modelling needs

Roles and Responsibilities Develop and maintain credit risk models using statistical modeling techniques such as logistic regression, predictive modeling, scorecards, etc. Collaborate with stakeholders to identify business requirements and develop data-driven solutions for credit risk analysis. Design and implement operational analytics frameworks to support decision-making processes. Conduct exploratory data analysis (EDA) to identify trends, patterns, and correlations in large datasets. Provide insights on portfolio performance by analyzing historical data and making recommendations for improvement. Desired Candidate Profile 5-10 years of experience in Credit Risk Analysis & Modeling or related field. Strong background in statistics with expertise in financial analytics, collection analytics, HR analytics, marketing analytics. Proficiency in programming languages like SAS/SQL/Python; knowledge of statistical algorithms is essential.

Qualification: Bachelors Degree Certifications: Microsoft Certified VMware Certified Experience: Minimum 6 years of professional experience in hands-on Job Description: Configure internal systems including on-premise and cloud (O365, AWS, AZURE, DC, AD, DNS secure certificate deployment, administration, and management) Diagnose and troubleshoot all types of technical issues Hands-on- Monitoring server performance including maintenance, upgrades, and backup/recovery Supervise the Operations team Active Directory Management Group policy management. File server security management. VMware installation, configuration, and Management. Administering the VMware vSphere, VCenter ESXi Clusters environment; Configured DRS HA for cluster environment Veeam, Symantec Backup, and restoration Hands-on experience on server and Storage hardware configuration management Manage Data Centre server and Storage infrastructure Install servers, OS (Windows and Linux flavors), or any other applications, hardware, and/or software requirements Set up O365 accounts and manage necessary security requirements. Manage 0365 email solution end to end. Managing the Office 365 Administration, Teams implementation configuring the DirSync server ADFS for AD synchronization; designing the backup plans ensuring scheduled / unscheduled backups as per the backup plan Create PowerShell scripts for the O365 environment for bulk email id creation, bulk password reset, export group members, rights assignments, calendar shared and assign permissions. SSL certificate management configuration DNS configuration Management DHCP configuration Management NPS network policy service configuration. IIS configuration and Management Domain registration management. Manage G-suit email solution end to end. Ensure participation in security requirements and management systems audit Monitor the performance of servers, software, and storage Hardware Manage Email accounts. Manage Email security. MS Teams management. SAS application infrastructure and administering DR Replication and Monitoring. Ensure smooth deployment of new applications Update technical documentation Document Management System. Provide technical Support to all team members. Manage Print Services.

Design, implement, and maintain data pipelines for processing large datasets, ensuring data availability, quality, and efficiency for machine learning model training and inference. Collaborate with data scientists to streamline the deployment of machine learning models, ensuring scalability, performance, and reliability in production environments. Develop and optimize ETL (Extract, Transform, Load) processes, ensuring data flow from various sources into structured data storage systems. Automate ML workflows using ML Ops tools and frameworks (e. g. , Kubeflow, MLflow, TensorFlow Extended (TFX)). Ensure effective model monitoring, versioning, and logging to track performance and metrics in a production setting. Collaborate with cross-functional teams to improve data architectures and facilitate the continuous integration and deployment of ML models. Work on data storage solutions, including databases, data lakes, and cloud-based storage systems (e. g. , AWS, GCP, Azure). Ensure data security, integrity, and compliance with data governance policies. Perform troubleshooting and root cause analysis on production-level machine learning systems. Skills: Glue, Pyspark, AWS Services, Strong in SQL; Nice to have : Redshift, Knowledge of SAS Dataset Mandatory Competencies DevOps - CLOUD AWS DevOps - Docker ETL - AWS Glue DevOps - Kubernetes Database - SQL Big Data - PySpark Database - Redshift Cloud - Azure Data Science - Azure ML Data on Cloud - Azure Data Lake (ADL) Beh - Communication and collaboration At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, were committed to providing a supportive and rewarding work environment. Join us and experience the difference of working at a company that values its employees success and happiness.

Data Modeling Design: Design and maintain conceptual, logical, and physical data models to support transactional, analytical, and data warehousing systems. Develop data models to ensure data consistency, integrity, and quality across multiple banking functions and applications. Define and implement the best practices for data modeling, data integration, and metadata management. Data Architecture Collaboration: Collaborate with data architects to align models with enterprise data architecture and ensure optimal performance and scalability. Work with database administrators to translate logical models into physical database structures and optimize them for performance. Data Quality Governance: Establish data standards, definitions, and quality rules to ensure data accuracy, consistency, and compliance. Create and maintain data dictionaries and metadata repositories to support data governance and facilitate efficient data access. Stakeholder Engagement: Engage with business stakeholders, data scientists, and IT teams to understand data requirements and translate business needs into robust data models. Ensure data models support key business initiatives, such as regulatory reporting, analytics, and operational efficiency. Documentation Best Practices: Develop and maintain detailed documentation, including data models, entity-relationship diagrams, and mapping specifications. Implement data modeling standards and mentor team members to promote best practices in data management. Requirements: Educational Qualification: MBA / Engineering degree with relevant industry experience. Experience: Minimum of 10 years of experience in data modeling or as a data modeler within the banking industry. Proven expertise in designing data models across at least three of the following areas: Data Warehousing Analytics BI Data Mining Data Quality Metadata Management Technical Skills: Proficiency in data modeling tools such as Erwin, IBM InfoSphere, or SAP PowerDesigner. Strong SQL skills and experience in relational database systems like Oracle, SQL Server, or DB2. Familiarity with big data technologies and NoSQL databases is a plus. Knowledge of ETL processes and tools (e. g. , Informatica, Talend) and experience working with BI tools (e. g. , Tableau, Power BI). Knowledge of SAS for analytics, data manipulation, and data management is a plus. Strong understanding of data governance frameworks, data quality management, and regulatory compliance. Soft Skills: Strong analytical and problem-solving skills, with attention to detail and accuracy. Excellent communication and interpersonal skills, with the ability to translate technical data concepts for business stakeholders. Proven ability to work collaboratively in a cross-functional environment and manage multiple projects.

Description As a Business Analysis Associate I within the Operations Performance Management team, you will play a pivotal role in generating analytical insights that significantly influence the financial performance of the Collections organization across Card, Overdraft, and Auto lines of business. You will develop comprehensive data expertise to support cross-line performance monitoring and analysis, forge strong partnerships with key stakeholders, and utilize your understanding of data to craft compelling business narratives that drive decisions and strategic direction. Job Responsibilities Support daily operations and tasks related to specific functional areas or business partners. Create business review decks, weekly updates, and ad-hoc communications for presentation to senior leaders and team members. Ensure projects are completed within established timelines. Participate in cross-functional teams to drive initiatives. Assemble data, build reports/dashboards, and provide innovative solutions for business partners. Identify risks and opportunities, proposing solutions to unlock value. Required Qualifications, Capabilities, and Skills Over 5 years of professional experience in business and relevant MIS/Technology roles. Strong understanding of business operations and procedures, with the ability to connect them to business fundamentals. Proficiency in sourcing data from multiple locations, integrating them, and providing actionable information for reporting or analysis. Eagerness to learn and adapt to new technologies. Open-mindedness to diverse perspectives. Ability to anticipate and resolve customer and general issues with urgency. Expertise in using advanced statistical tools, such as regression analysis and interpreting correlation coefficients. Ability to interpret business trends, propose solutions to improve them, and identify gaps with recommendations. Knowledge to incorporate other business areas in analysis and solutions, such as inventory, strategy, and contact management. Experience in reporting and data analysis development, with the ability to meet strict deadlines. Strong proficiency in SAS, Alteryx, SQL, and advanced Excel. Preferred Qualifications, Capabilities, and Skills Prior experience in Collections Operations is preferred. Bachelors degree or equivalent is required.

Apply now » Apply Now Start applying with LinkedIn Please wait... Date: Jun 7, 2025 Location: Pune, MH, IN Company: HMH HMH is a learning technology company committed to delivering connected solutions that engage learners, empower educators and improve student outcomes. As a leading provider of K–12 core curriculum, supplemental and intervention solutions, and professional learning services, HMH partners with educators and school districts to uncover solutions that unlock students’ potential and extend teachers’ capabilities. HMH serves more than 50 million students and 4 million educators in 150 countries. HMH Technology India Pvt. Ltd. is our technology and innovation arm in India focused on developing novel products and solutions using cutting-edge technology to better serve our clients globally. HMH aims to help employees grow as people, and not just as professionals. For more information, visit www.hmhco.com The data architect is responsible for designing, creating, and managing an organization’s data architecture. This role is critical in establishing a solid foundation for data management within an organization, ensuring that data is organized, accessible, secure, and aligned with business objectives. The data architect designs data models, warehouses, file systems and databases, and defines how data will be collected and organized. Responsibilities Interprets and delivers impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Designs the structure and layout of data systems, including databases, warehouses, and lakes Selects and designs database management systems that meet the organization’s needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures Defines and implements the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms Designs processes for the ETL process from various sources into the organization’s data systems Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps Simplifies the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company Leads and participates in the peer review and quality assurance of project architectural artifacts across the EA group through governance forums Defines and manages standards, guidelines, and processes to ensure data quality Works with IT teams, business analysts, and data analytics teams to understand data consumers’ needs and develop solutions Evaluates and recommends emerging technologies for data management, storage, and analytics Design, create, and implement logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models Create entity-relationship diagrams (ERDs), data flow diagrams, and other visualization tools to represent data models Collaborate with database administrators and software engineers to implement and maintain data models in databases, data warehouses, and data lakes Develop data modeling best practices, and use these standards to identify and resolve data modeling issues and conflicts Conduct performance tuning and optimization of data models for efficient data access and retrieval Incorporate core data management competencies, including data governance, data security and data quality Education Job Requirements A bachelor’s degree in computer science, data science, engineering, or related field Experience At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives Experience leading projects involving data warehousing, data modeling, and data analysis Design experience in Azure Databricks, PySpark, and Power BI/Tableau Skills Ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks) Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architecture components based on business needs Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau Ability to regularly learn and adopt new technology, especially in the ML/AI realm Strong analytical and problem-solving skills Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders Ability to guide solution design and architecture to meet business needs Expert knowledge of data modeling concepts, methodologies, and best practices Proficiency in data modeling tools such as Erwin or ER/Studio Knowledge of relational databases and database design principles Familiarity with dimensional modeling and data warehousing concepts Strong SQL skills for data querying, manipulation, and optimization, and knowledge of other data science languages, including JavaScript, Python, and R Ability to collaborate with cross-functional teams and stakeholders to gather requirements and align on data models Excellent analytical and problem-solving skills to identify and resolve data modeling issues Strong communication and documentation skills to effectively convey complex data modeling concepts to technical and business stakeholders HMH Technology Private Limited is an Equal Opportunity Employer and considers applicants for all positions without regard to race, colour, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. We are committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit https://careers.hmhco.com/. Follow us on Twitter, Facebook, LinkedIn, and YouTube. Job Segment: Curriculum, Social Media, Education, Marketing Apply now » Apply Now Start applying with LinkedIn Please wait... Show more Show less

We are currently seeking an experienced professional to join our team in the role of Lead Assistant Vice President Business Consulting Principal responsibilities Ability to convert business problem to an analytical problem and then finding pertinent solutions Overall business understanding of BFSI domain Providing high-quality analysis and recommendations to business problems. Efficient project management and delivery Ability to conceptualize data driven solutions for the business problem at hand for multiple businesses/region to facilitate efficient decision making Focus on driving efficiency gains and enhancement of processes. Use of data to improve customer outcomes through the provision of insight and challenge Also drive business benefit through self-initiated projects The role may require one to liaise with different stakeholders business teams, business analysts, product owners, data engineers, platform developers etc. The person should demonstrate leadership qualities in terms of bringing the junior members up the learning curve and handholding them whenever necessary Working with an Agile mindset, using regular project management tools like Jira, Confluence, GitHub etc. to share updates and remaining on top of the work Requirements Master s degree from reputed university in Computer Science, Information Technology or any other quantitative fields Experience in managing significant data volume with in-depth knowledge of relational database management along with Consulting experience in the data analytics domain. Excellent Project Management skill is required. Thorough knowledge in SQL and Python must. Having knowledge/experience in Pyspark would be preferred. Knowledge of SAS is a plus Knowledge of Big Data is required. Knowledge in Google Cloud Platform or any On-Prem and corresponding tooling solutions would be preferred Advanced knowledge of MS Excel including macro based excel sheets. Strong analytical skills with business analysis experience or equivalent. Knowledge and understanding of financial-services/ banking-operations preferred. Advanced capability in translating complex and/or technical work and insights into straightforward business language. Excellent interpersonal skills with highly developed capacity to constructively challenge and influence management. Proven stakeholder management capabilities Proven problem solving skills with ability to consider alternative and innovative solutions Besides strong written and verbal communication skills the incumbent is also expected to have strong presentation skills

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job purpose: Need to work as a Technology or Functional Consultant in FinCrime solutions modernisation and transformation projects Should exhibit understanding of financial services during the client discussions and be able to articulate the client requirements into tech specs Contribute as team player in a team of consultants to be able to deliver large technology programs Work Experience Requirements Understand high-level business requirements and relate them to appropriate AML / FinCrime product capabilities Define and validate customisation needs for AML products as per client requirements. Review client processes and workflows and make recommendations to the client to maximise benefits from the AML Product. Show in-depth knowledge on best banking practices and AML product modules Prior experience in one of more COTS such as NetReveal , Norkom, Actimize, SAS AML VI/VIA, fircosoft or Quantexa Your client responsibilities: Need to work as a Technical Business Systems Analyst in one or more FinCrime projects. Interface and communicate with the onsite coordinators Completion of assigned tasks on time and regular status reporting to the lead Regular status reporting to the Manager and onsite coordinators Interface with the customer representatives as and when needed Willing to travel to the customers locations on need basis Mandatory skills: Technical: Expert in the following NetReveal modules: Scenario Manager Configuration, Application Builder, Base Platform, Workflow Configurator, Services Manager, Batch bridge, Scheduling Configuration, Command and Control, AML module, Expert in Velocity template. NetReveal Optimization module, Multi-entity and mutli-currency platform, Cloud platform, REST API development using Java. CI/CD technologies (BitBucket, Jenkins, Nexus, Serena). Container Technologies such as Docker, Kubernetes. NetReveal v7.4 or above, Proficient in Oracle SQL, PL/SQL, Websphere Application Server Experience in Agile Methodology SQL and Understanding of Bigdata tech such as Spark, Hadoop, or Elasticsearch Scripting/ Programming: At least one programming/scripting language amongst Python, Java or Unix Shell Script Experience in product migration, implementation - preferably been part of at least 1 AML implementations Act as the Subject Matter Expert (SME) and possess an excellent functional/operational knowledge of the activities performed by the various teams Should Posses high-level understanding of infrastructure designs, data model and application/business architecture. Functional : Thorough knowledge of the AML/CTF transactions monitoring, KYC, Sanctions process Thorough knowledge on Transaction monitoring and scenarios Should have developed one or more modules worked on KYC - know your customer, CDD- customer due diligence, EDD - enhanced due diligence, sanction screening, PE - politically exposed person, adverse media screening, TM- transaction monitoring, CM- Case Management. Thorough knowledge of case management workflows Preferred Work Location: This position offers flexibility to work from any EY GDS office in India Education And Experience – Mandatory MBA/ MCA/ BE/ BTech or equivalent with banking industry experience of 3 to 4 years EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Amazon Vendor Services (AVS) is seeking a highly analytical and technically proficient Subject Matter Expert (SME) with deep expertise in automation and catalog management to lead the development of scalable, long-term analytical and operational infrastructure. This role is pivotal in driving efficiency across AVS by building automation tools, developing self-service analytics solutions, and eliminating manual processes to enable strategic decision-making. As a SME, you will work closely with internal stakeholders and global functional teams to design and implement end-to-end workflows that improve key AVS vendor metrics. Your focus will be on enhancing catalog health, content accuracy, streamlining operational processes, managing evolving business requirements, and ensuring high-quality, SLA-aligned service delivery. You will also champion process excellence mechanisms and scalable solutions that support AVS s mission of driving vendor growth and satisfaction through a sustainable and efficient e-commerce partnership. Design and implement robust analytical frameworks that support end-to-end automation across key operational and catalog management processes. Build scalable, automated systems and self-service reporting tools to enable data-driven decision-making across product, program, and operations teams. Partner with cross-functional teams to identify automation opportunities and convert manual reporting processes especially those related to business metrics, catalog health, selection onboarding, and content enrichment into scalable, repeatable solutions. Support catalog optimization and operational efficiency through automation and process standardization. Conduct in-depth analysis to uncover trends, patterns, and root causes that inform strategic planning and automation design, with a focus on catalog accuracy, completeness, and discoverability. Enable proactive monitoring and exception management through automation to surface issues such as missing content and selection gaps, and optimize performance in real time. Maintain clear, up-to-date documentation and automation playbooks to ensure continuity and operational readiness. Stay current with emerging analytics and automation trends and recommend best-fit approaches to drive long-term scale in catalog and operations. 1+ years of program or project management experience Experience using data to influence business decisions Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts Knowledge of visualization tools such as Tableau, Datazen, SSRS Experience back office operations, escalation management and troubleshooting environments Knowledge of SQL and Advanced Excel (Array and Statistical formulas)

As a Business Analytics Manager of the worldwide Registration & Verification team, you will be responsible for driving insights into what makes sellers successful in the global ecosystem, and partnering with the product team to launch features at verification to help sellers be successful. The ideal analytics manager should have proven experience in business analysis and team management; should be able to work across teams and should be able to lead leadership reviews. Our ideal candidate is a self-starter, comfortable working through ambiguity, conceptualizing and leading complex initiatives from end to end, has a good understanding of statistics, BI tools and basic scripting. In addition to collaborating with many stakeholders internally and externally, this role requires working through ambiguity, demonstrating good judgment under pressure and adaptability to thrive in a fast-paced, dynamic environment. Develop a deep understanding of Registration and Verification teams data sources and know exactly how, when, and which data to use to solve particular business problems using SQL, statistics, scripting and Quicksight. Design, build and automate SQL reporting and dashboards and AI topics to scale and support business needs Work with stakeholders to gather data and metrics requirements and drive analytics projects to help solve complex challenges. Manage numerous requests concurrently and strategically, prioritizing when necessary. Hire, Train and develop a team of business analysts, build mechanisms, reduce dependencies, build partnerships with partner teams and ensure seamless functioning of the team. Bachelors degree in Computer Science, Statistics, Mathematics, or related field 5+ years of business analytics experience 3+ years of delivering results managing a business analytics team Experience with SQL Experience with ETL Experience with data visualization using Tableau, Quicksight, or similar tools Experience with application of basic statistics, and scripting/Python. Exposure to cloud and AI tools. 3+ Experience with Python, Weka, SAS, Matlab or other statistical/machine learning software 5 + years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience Experience in A/B Testing and Causal Inference. Experience in building ML models. Master of Business Administration Lean Six Sigma Green Belt/ Black Belt PMP/Prince Certified