We are looking for a highly skilled and experienced Senior Technical Business Analyst to join our dynamic team. The ideal candidate should have a strong knowledge of financial domains with both business analysis and technical skills. This role requires an individual who can facilitate seamless project delivery by collaborating and coordinating with multiple stakeholders throughout the project end-to-end life cycle. ### Roles and Responsibility Collaborate with business stakeholders to gather and document detailed business requirements in the form of product backlog and defining acceptance criteria. Translate business needs into technical specifications and functional designs. Identify tech-based solutions to meet business needs. Create detailed specifications for integration requirements and work with developers from various project areas to develop necessary integration solutions. Document functional requirements, data mappings, and API mappings. Develop and evaluate business logic, data transformations, computations, and any additional modifications to data. Proficient in creating User Acceptance Testing (UAT) scenarios, executing UAT, and obtaining signoffs from business stakeholders. Oversee testing efforts to validate that features and functions meet business requirements. Prioritize requests and ensure a robust change management workflow is built. Facilitate reviews with both internal teams and clients to obtain approvals for project costs, schedules, and various plans. Ability to facilitate workshops, design sessions, and gather requirements from LoB, SMEs, and Senior leadership. Create and maintain comprehensive documentation for systems and processes. Willingness to lean and align with the evolving technology trends in the industry. Proven ability to manage multiple activities and build/develop working relationships. Proven self-motivation to take initiative and master new tasks quickly. Demonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail.### Job Requirements Minimum 3-6 years of relevant work experience in business analysis. Professional work experience in at least one of the following with Investment Banks: Capital Markets, Wealth & Asset Management, Financial Risk Management, Regulatory Reporting. Provide thought leadership and display subject matter expertise in the pertaining domain. Well-versed and experienced in SDLC, using both waterfall and Agile methodologies (such as Scrum) for delivering projects. Proven expertise in solution architecture and system development lifecycle. Hands-on experience on enterprise application implementations, including microservices, APIs, UI interfaces, and reporting modules. A comprehensive understanding of Continuous Integration/Continuous Deployment processes. Strong analytical skills, proficient in SQL at an intermediate to advanced level, and capable of handling complex data sets or APIs. Strong written and verbal communication skills. Hands-on experience with tools like Jira, Confluence, or other project management tools. Exposure to Cloud technologies (Azure, AWS, GCP, OCI, etc.), data modelling, Python, R, JSON, XML is beneficial. Knowledge or readiness to learn software like GitHub, Bitbucket, SonarQube, Figma, Power BI, Tableau, ClickView, Visio, Qlik Sense, Postman, and ADO boards.

We are looking for a skilled professional with 10 to 12 years of experience to join our team as a Manager in the Complex Securities division. The ideal candidate will have a strong background in finance, economics, accounting, or business. ### Roles and Responsibility Manage valuation engagements for financial reporting, tax, and management planning purposes. Develop models to value various financial instruments and study complex business situations using option pricing theory, fixed income, and structured finance models. Assess fair value for complex structures such as private company equity securities, options, warrants, preferred & common stock, performance awards, convertible notes, debt, and related embedded derivatives. Demonstrate strong derivative pricing and financial modeling skills, creating both valuation and financial models based on client's derivative financial assets or operational and financial business plans. Take a steering role in report generation and detailed financial modeling, identifying issues and proposing strategies related to executed procedures. Utilize current technology and tools to enhance service effectiveness, staying updated on current business and economic developments relevant to clients' businesses. Maintain and develop positive, productive, and professional relationships with EY offices globally. Identify business development opportunities and assist Partners and Senior Managers on proposals and new business opportunities, demonstrating teamwork and responsibility with engagement team members. Supervise, develop, and mentor professionals at the Staff and Senior level. ### Job Requirements Postgraduate degree in Finance, Economics, Accounting (CA), or Business with 10-12 years of related work experience. Minimum of 5 years of direct experience utilizing valuation techniques and methodologies such as Discounted Cash Flow (DCF), Income Approach, market comparable, Option Pricing Model, Monte Carlo Simulation, Binomial Lattice, etc., in a business valuation firm or practice, or in venture capital, investment banking, commercial banking, financial research, national valuation firm, or corporate finance role for an organization, preferably for M&A activities. Experience in financial modeling, including building models from scratch in MS Excel and related software is preferred. Computer proficiency with at least one Financial Engineering or statistical software package (e.g., MATLAB, Python, R), MS Excel/VBA, Word, and PowerPoint. Exposure to databases such as Capital IQ, Bloomberg, etc. Willingness and ability to travel when necessary. Preferable achievement in or significant progress towards a CFA, ASA, CPA, or related certification. Project management skills and strong communication and presentation skills are desirable.

We are looking for a highly skilled and experienced Senior Data Scientist with 3 to 8 years of experience to join our team in Bengaluru. The ideal candidate will have a strong background in applied mathematics, statistics, or data science, with excellent presentation and communication skills. ### Roles and Responsibility Support the Lead Data Scientist and team members in solving problems, analyzing data, and finding solutions. Lead the design, development, and deployment of advanced statistical methods, data science/ML, and other quantitative techniques to solve complex business problems. Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations. Oversee and drive the lifecycle of statistical and AI/ML decision support solutions and products, ensuring successful and timely delivery. Present data-driven insights and strategic recommendations to senior management and key stakeholders. Develop and maintain large-scale data systems, including data pipelines, architectures, and governance frameworks. ### Job Requirements Bachelor's degree in applied mathematics, statistics, applied mathematics, physics, economics, or other quantitative fields; a master's degree is preferred. Minimum 3 years of experience in Statistics, AI/Machine Learning/Data Science in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance, etc.). Solid understanding of applied statistical modeling, applied math modeling, and ML techniques, including clustering, classification, regression, dimensionality reduction, ensemble methods, and natural language processing. Proficiency in programming languages such as Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Experience leading a team of Data Scientists, Data Analysts, or Data Engineers. Excellent presentation and communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences.

We are looking for a skilled professional with 12-18 years of experience to join our team as a Solutions Architecture Consultant in the MENA region. The ideal candidate will have a strong background in consulting, delivery, and technical skills. ### Roles and Responsibility Provide advice on long-term Solution/Enterprise architecture decisions to clients' senior management. Build and develop the Solution/Enterprise Architecting capability through proactive engagement with EY practice teams, partners, and clients. Perform sales, pre-sales, and business development activities, including responding to RFPs/RFIs, delivering oral pitches, and negotiating contracts. Plan and run workshops for clients' Business and Technology Executives, involving client partners and vendors exclusively on Solution Architecture. Collaborate with professionals spanning strategy, business, application, infrastructure, security, and data architecture disciplines to accelerate clients' enterprise architecture maturity definition and transformation journey. Develop technical and commercial business cases for clients to invest in technology, tools, infrastructure, and people capabilities, and present them at various levels of the client organization aligned with their enterprise architecture roadmap. Engage with various technology vendors, start-ups, and service providers to evaluate them on behalf of clients and provide recommendations. Anticipate and understand major technology changes and digital trends to enable clients to succeed in a competitive landscape. Set up and actively develop an Architecture CoE covering EA, Business Architecture, Solutions Architecture, Application Architecture, Infrastructure Architecture, Security Architecture, and Data Architecture. Interface and communicate regularly with onsite and/or offshore stakeholders and coordinators to ensure smooth execution of responsibilities and demonstrate value. Ensure timely completion of assigned tasks within budget and at the highest quality, providing regular status reporting to clients, managers, and leadership. ### Job Requirements B.Tech./MCA from a reputed institution. Extensive consulting and delivery experience in Big4s, Global IT Majors, Management Consulting firms. Experience in performing the role of technical owner/co-owner for large IT transformation projects. At least 5 years of experience in architecting and leading the implementation of medium/large solutions across on-premise and Cloud solutions (Azure, GCP, AWS, Oracle), Microsoft, Java, Python/R, and other major application development platforms, XD/UI/UX Frameworks, Micro-services, integration architecting (including Biztalk, Mulesoft, Software AG, Boomi), BPM/BPA tools, Security (Application/Data), OT/IOT systems. Good understanding and exposure to large platforms and systems, including major ERPs, CRMs, Digital, AI/GenAI, Cloud and Data Platforms, Service Management Platforms like ServiceNow/BMC Remedy, SAAS, PAAS, IAAS providers, leading Core Banking Systems, Automation technologies. Possess good understanding and exposure to SOA, Agile delivery, DevOps, DevSecOps, and industry-standard delivery and quality frameworks. Excellent client interfacing, people interfacing, negotiation, and management skills. An excellent team player who can reach out and collaborate effectively with geographically distributed technology, business function, and support teams to deliver to the client. Open to traveling extensively to the MENA region and working directly with EY clients on projects. Experience in creating and conducting impactful client presentations and articulating technical and non-technical deliverables to clients at various levels. Experience in running physical and virtual workshops independently and well-versed with tools and technologies to enable the same. Demonstrable professional technical writing expertise, visual representation, and language skills. Experienced in productivity and diagramming tools like Word, Excel, PowerPoint, Visio. Experience in working with clients in MENA GCC countries is desirable. Enterprise Architecture Certification such as TOGAF is desirable. Experience in enterprise architecture tools is desirable.

We are looking for a highly skilled and experienced Senior Data Scientist with 3 to 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. ### Roles and Responsibility Contribute to the design and implementation of state-of-the-art AI solutions. Assist in developing and implementing AI models and systems using techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. ### Job Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field; a Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements.

We are looking for a highly skilled and experienced Assistant Manager to join our team in the Technology, Media & Entertainment (TME) sector. The ideal candidate will have 3-5 years of experience in assurance, audit, or a related field. ### Roles and Responsibility Develop and implement audit strategies to ensure compliance with regulatory requirements. Conduct risk-based audits to identify areas of improvement and provide recommendations. Collaborate with cross-functional teams to deliver high-quality services to clients. Analyze data and provide insights to support business decisions. Develop and maintain relationships with key stakeholders, including clients and internal teams. Stay up-to-date with industry trends and developments to improve audit processes. ### Job Requirements CA qualification is mandatory. Strong knowledge of accounting principles, auditing standards, and financial regulations. Experience with data analysis, visualization tools, and machine learning algorithms. Excellent communication and interpersonal skills, with the ability to work effectively in a team environment. Strong problem-solving skills, with the ability to analyze complex problems and develop practical solutions. Proficiency in MS Office Suite, particularly advanced Excel skills and macros. Hands-on experience in Risk-based analytics. Understanding of business and processes of the sector of clients. Knowledge of databases, ETL, and hands-on experience in SQL. Experience in any of the visualization tools like Tableau, Spotfire, Qlikview, etc. Hands-on experience in Machine Learning using R or Python with strong statistical background. Practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. Ability to work collaboratively to provide services across multiple client departments while following commercial and legal requirements. Agile, curious, mindful, and able to sustain positive energy, while being adaptable and creative in their approach.

We are looking for a skilled Senior Consultant with 3 to 5 years of experience in the SAP SAC domain, specifically in Planning and reporting. The ideal candidate should have excellent communication skills and be able to impart ideas in both technical and user-friendly language. ### Roles and Responsibility Lead end-to-end implementation projects, including rollout, support, upgrade, and enhancements. Design and develop planning and reporting solutions based on client needs. Create models and dimensions in SAC and build data actions and allocation processes. Develop analytical applications and write formulae for importing jobs. Configure delta loads using import connections and build connections with sources to SAC and data imports. Write R-Scripts and provide documentation for training and user procedures.### Job Requirements Strong hands-on experience in Planning and reporting within the SAP SAC domain. Experience in creating models and dimensions in SAC and building data actions and allocation processes. Expertise in building SAC stories and Digital board rooms. Knowledge of writing formulae in importing jobs and configuring delta loads using import connections. Excellent communication skills with the ability to convey ideas in both technical and user-friendly language. Demonstrated lead experience in all phases of SAP implementation projects. Good experience with SAP BW Modelling, extraction, and reporting. Knowledge of HANA Graphical Views is preferred.

We are looking for a skilled professional with 6 to 9 years of experience to join our team as a Senior in Global Delivery Services (GDS) – Consulting – People Consulting (PC) – Change Management. The ideal candidate will have a strong background in change management and excellent communication skills. ### Roles and Responsibility Ensure high-quality deliverables through internal reviews and client feedback. Develop thought leadership, collateral, tools, techniques, and methodologies to enhance change management capabilities within the practice. Support leadership in developing the practice through collaboration with global offices and demand generation for change management projects. Build capability in change management by collaborating with various parts of the GDS organization and other EY member firms. Drive effective client communication and build relations with clients and project team counterparts across global locations. Manage ambiguity and proactively drive results-oriented solutions. ### Job Requirements Postgraduate degree or equivalent specialization in Human Resources. 6-9 years of relevant experience in change management, preferably in a consulting environment. Experience executing change management efforts on global client projects. Strong working knowledge of organizational change management elements, including strategy, visioning, communication, impact assessment, stakeholder management, training design, and delivery. Ability to manage and provide direction to project team members. Experience in learning design and content development using instructional design principles. APMG, PROSCI certification is preferred. Exposure to stakeholder workshop design, content curation, and co-facilitation is beneficial. Experience in communications strategy, planning, and execution. Awareness of new age/digital solutions to enable change such as automation, gamification, advanced analytics/visualization, and day-in-life-of workshops. Experience working with data using analytics/statistical tools like SPSS, Power BI, R, Spotfire. Knowledge of one or more HCM cloud platforms – Oracle, SAP, and other out-of-box HR technologies. Working knowledge of Project management.

We are looking for a highly skilled and experienced Tableau Developer to join our team in Bengaluru. The ideal candidate will have 3-8 years of experience in data analysis, visualization, and reporting. ### Roles and Responsibility Design, develop, and maintain complex data visualizations using Tableau. Collaborate with cross-functional teams to identify business requirements and develop solutions. Develop and implement data models, ETL processes, and data quality checks. Troubleshoot and resolve technical issues related to data integration and visualization. Provide training and support to end-users on Tableau best practices. Work closely with stakeholders to understand business needs and develop effective data solutions.### Job Requirements Strong understanding of data modeling, ETL processes, and data quality checks. Proficiency in programming languages such as Python or R. Experience with data visualization tools like Tableau is required. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills.

We are looking for a skilled FS Risk Technology Analyst with 4 to 7 years of experience in an IT-Business Analyst role, specifically in the domain of Wholesale Credit Lending. The ideal candidate will have in-depth knowledge of complex enterprise application implementations involving multiple systems like microservices, APIs, UI interfaces, and reporting modules. ### Roles and Responsibility Collaborate with cross-functional teams to identify and mitigate risks associated with wholesale credit lending. Develop and implement process improvements to enhance risk management and regulatory compliance. Analyze data and provide insights to support business decisions and drive growth. Work closely with senior stakeholders and business sponsors to define requirements and drive issue resolution. Monitor, document, and present process improvements to ensure seamless execution. Build strong relationships with technology and business teams to define requirements and drive issue resolution.### Job Requirements Strong analytical skills and proficiency in SQL at an intermediate to advanced level. Experience with Basel Capital Rules and regulatory reporting requirements such as Comprehensive Capital Analysis and Review (CCAR). Excellent communication and interpersonal skills, with the ability to convey complex information to non-technical stakeholders. Ability to manage multiple activities and build/develop working relationships. Proven self-motivation to take initiative and master new tasks quickly. Demonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail. Domain knowledge of Wholesale Credit Lending, including lifecycle knowledge, finance regulatory audit resolution, and process re-design. Regulatory Compliance: Awareness of relevant laws and regulations impacting the wholesale credit business. Experience with SDLC, using both waterfall and Agile methodologies (such as Scrum, Kanban, SAFe) for delivering projects. Willingness to lean and align with the evolving technology trends in the industry. Proficient in writing detailed business cases, Functional Requirement Documents (FRD), Business Requirement Documents (BRD), and Data flow diagrams for various business processes. Well-versed and experienced in SDLC, using both waterfall and Agile methodologies (such as Scrum, Kanban, SAFe) for delivering projects. Must be willing to lean and align with the evolving technology trends in the industry. Proven ability to manage multiple activities and build/develop working relationships. Proven self-motivation to take initiative and master new tasks quickly. Demonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail. Good understanding of Credit Risk, Market Risk, Liquidity Risk, and Interest Rate Risk. Experience with Basel Capital Rules is preferred. Experience with processes relating to regulatory reporting requirements such as Comprehensive Capital Analysis and Review (CCAR), Single Counterparty Credit Limits (SCCL). Experience and technical understanding of product knowledge across all asset classes. Experience supporting large initiatives across multiple functional groups. Experience working in a highly regulated environment and identifying, performing, and documenting controls and governance processes. Strong Excel skills. Data Visualization using Tableau, Power BI, etc. Agile certification. Experience in handling large datasets. Exposure to Cloud technologies (Azure, AWS, GCP, OCI, etc.), data modelling, Python, R, JSON, XML, etc., is beneficial. Knowledge or readiness to learn software like GitHub, Bitbucket, SonarQube, Figma, Power BI, Tableau, ClickView, Visio, Qlik Sense, Postman, and ADO boards.

We are looking for a skilled Senior Consultant with 3-5 years of experience in the SAP SAC domain, specifically in Planning and reporting. The ideal candidate should have excellent communication skills and be able to impart ideas in both technical and user-friendly language. ### Roles and Responsibility Develop and implement planning and reporting solutions for clients. Create models and dimensions in SAC for data analysis and visualization. Build data actions and allocation processes to support business requirements. Design and develop analytical applications using SAP Embedded BPC. Configure delta loads using import connections and write formulae for importing jobs. Lead all phases of SAP implementation projects and develop documentation for training and user procedures.### Job Requirements Strong hands-on experience in Planning and reporting within the SAP SAC domain. Experience in creating models and dimensions in SAC for data analysis and visualization. Expertise in building SAC stories and Digital board rooms for effective decision-making. Knowledge of writing R-Scripts and configuring data imports and connections with sources to SAC. Good experience with SAP BW Modelling, extraction, and reporting. Familiarity with HANA Graphical Views is an added advantage.

We are looking for a highly skilled and experienced Assistant Manager to join our team in the Technology, Media & Entertainment (TME) sector. The ideal candidate will have 3-5 years of experience in assurance services, preferably with a background in audit analytics. ### Roles and Responsibility Develop and implement audit strategies to ensure compliance with regulatory requirements. Conduct risk-based audits to identify areas of improvement and provide recommendations. Analyze financial data to identify trends and anomalies, and develop predictive models. Collaborate with cross-functional teams to deliver high-quality client service. Design and review algorithms, systems, and processes for analyzing client data. Provide expert advice on accounting standards and regulatory requirements. ### Job Requirements CA qualification is mandatory. Strong knowledge of databases, ETL, and SQL. Experience with visualization tools such as Tableau, Spotfire, or Qlikview. Proficiency in MS Office Suite, particularly advanced Excel skills and macros. Hands-on experience in machine learning using R or Python with a strong statistical background. Ability to work collaboratively with multiple stakeholders while meeting commercial and legal requirements. Practical approach to solving complex problems and delivering insightful solutions. Agile, curious, mindful, and able to sustain positive energy, while being adaptable and creative in their approach.

We are looking for a highly skilled and experienced Senior Consultant to join our team in Gurgaon. The ideal candidate will have 2-7 years of experience in the field. ### Roles and Responsibility Develop and implement audit strategies to ensure compliance with regulatory requirements. Conduct risk-based audits to identify areas of improvement and provide recommendations. Collaborate with clients to understand their business needs and develop tailored solutions. Analyze data from various sources, including financial statements and market trends. Develop and maintain relationships with key stakeholders, including clients and internal teams. Stay up-to-date with industry developments and emerging trends. ### Job Requirements Strong knowledge of accounting principles, auditing standards, and financial regulations. Excellent analytical and problem-solving skills, with the ability to interpret complex data. Effective communication and interpersonal skills, enabling strong collaboration with clients and internal teams. Ability to work independently and as part of a team, demonstrating flexibility and adaptability. Strong attention to detail and organizational skills, with the ability to prioritize tasks and manage multiple projects. Experience with data visualization tools, such as Tableau or Qlikview, is an asset. Proficiency in MS Office Suite (advanced Excel skills & Macros) is required. Hands-on experience in Risk based analytics and understanding of business and processes of the sector of clients. Knowledge of databases, ETL, and hands-on experience in SQL. Experience in any of the visualization tools like Tableau, Spotfire, Qlikview, etc. Hands-on experience in Machine Learning using R or Python with a strong statistical background. Qualification: BE/ B.Tech,, or MSC in Computer Science/Statistics or M.C.A.

We are looking for a highly motivated and experienced Senior professional to join our team in Bengaluru. The ideal candidate will have 4-8 years of experience, with at least 2-3 years of senior experience in BCM or WAM industry. ### Roles and Responsibility Work as a senior on multiple workstreams or clients as part of the Regulatory Reporting BAU/Production team. Interact with stakeholders, including clients and third parties such as fund administrators, on data and production-related matters. Facilitate and encourage conversations between Business and Technology to determine product feature requirements. Prepare and review workpapers needed for filing forms/reports with 100% accuracy. Provide technical guidance to the team and clients as needed. Manage projects independently with minimal supervision. Be involved in project management as needed. Mentor, train, and inspire staff to meet project objectives. Proactively develop and impart training on new initiatives for team members. Collaborate with Technology and US teams to identify process improvement areas and introduce automation culture. ### Job Requirements Clear communication skills, both written and verbal. Master’s degree in accounting or finance is mandatory; MBA or CA is a plus. Experience with Regulatory Reporting, Validations, Reconciliations, and General Adjustment processes is beneficial. A general understanding of US GAAP and mutual fund regulatory reporting is advantageous. Versatility and a good understanding of working with Technology platforms/frameworks/tools are essential. Actively participate in selecting new regulatory tools/frameworks and assist in their implementation. Fair knowledge of Technology/Framework and Data systems across the WAM sector. Functional knowledge: Good knowledge and understanding of the WAM domain, with deep knowledge of capital market OTC derivative products (Equities, Commodities, Currencies, Rates, Cash and Credit). Thorough understanding of different product taxonomies in Regulatory Reporting. Understanding BRD is an added advantage. Experience with 1 or more relevant Regulatory Reporting platform. Exposure to Python or R tool-based analytics. Must be a highly motivated individual capable of handling all levels of complexity in the respective area of operation. Pay attention to detail, proficient in MS applications (Word, Excel, PowerPoint), possess excellent analytical skills, and demonstrate effective interaction capabilities with various stakeholders. Comfortable functioning in a fast-paced environment driven by deadlines. Fair knowledge of Capital market instruments. US Visa ready is preferred.

We are looking for a highly skilled and experienced Associate Consultant to join our team in Hyderabad. The ideal candidate will have 3-6 years of relevant experience in auditing and accounting standards, with a strong background in financial reporting and analytics. ### Roles and Responsibility Conduct operational, financial, process, and systems audits to review and appraise activities, systems, and controls. Identify accounting and auditing issues, discuss them with the audit in-charge, and solve problems as they arise. Perform substantive testing of appliances according to the audit plan and document all work performed. Present audit reports clearly highlighting key recommendations to management. Prepare and maintain statutory books of accounts, conduct audits, reconcile account receivables and payables, and finalize accounts. Assist seniors in reviewing and checking financial statements and preparing audit reports, management comment letters, and management representation letters. ### Job Requirements Strong knowledge of auditing and accounting standards is required. Experience in handling statutory audit assignments is necessary. Ability to prioritize work on multiple assignments and manage ambiguity effectively. Strong verbal and communication skills are essential. Clarity of thoughts and assertive, effective, and creative written expression (logical, readable, and concise) are vital. Ability to meet deadlines and deliver insightful solutions to complex problems. Qualification: BE/ B.Tech,, or MSC in Computer Science/Statistics or M.C.A. Skills and attributes for success include technical excellence, audit analytics, and data extraction from client ERPs. Hands-on experience in analytics in financial reporting, machine learning using R or Python with a strong statistical background, and knowledge of databases, ETL, and hands-on experience in SQL. Experience in any of the visualization tools like Tableau, Spotfire, Qlikview, etc., and knowledge and experience in ERP such as SAP and/or Oracle and data extraction. Proficiency in MS Office Suite (advanced Excel skills & Macros) is expected. Experience in NLP/Web Scraping/Log Analytics/TensorFlow/AI/Beautiful Soup is preferred. Experience in Iron Python/JavaScript is a plus.

We are looking for a highly skilled and experienced Senior Consultant to join our Life AXIS Actuarial team in Bengaluru. The ideal candidate will have 4 to 9 years of experience in actuarial consulting, with a strong background in actuarial modeling and reporting solutions. ### Roles and Responsibility Deliver high-quality actuarial work products and services to clients within agreed timelines. Work on various actuarial assignments, including model development, conversions, quality assurance, and documentation. Review junior members' work, ensuring quality and timeliness. Communicate analysis results, progress updates, and challenges effectively to clients, stakeholders, and project managers. Collaborate with EY teams on exciting projects and work with well-known brands from across the globe. Develop and maintain expertise in actuarial principles, methodologies, and technologies. ### Job Requirements Associate or making good actuarial exam progress. Minimum 4 years of Life Actuarial experience. Expertise in actuarial modeling using AXIS, Poly Systems, or similar tools. Knowledge of US Life/Annuity products, regulations, and STAT/GAAP reporting. Experience in VBA/R/Python/SQL is preferred. Excellent communication, execution, and people management skills. Proficient in report writing and documentation.

We are looking for a skilled FS Risk Technology Analyst with 4 to 7 years of experience in an IT-Business Analyst role, specifically in the domain of Wholesale Credit Lending. The ideal candidate will have in-depth knowledge of complex enterprise application implementations involving multiple systems. ### Roles and Responsibility Collaborate with cross-functional teams to identify and mitigate risks associated with wholesale credit lending. Develop and implement risk management strategies to ensure compliance with regulatory requirements. Analyze data to identify trends and patterns in credit risk, market risk, and liquidity risk. Design and develop reports to track key performance indicators (KPIs) related to risk management. Work closely with stakeholders to understand business requirements and develop solutions to meet their needs. Identify and implement process improvements to enhance risk management practices. ### Job Requirements Strong understanding of financial services industry, particularly in the area of wholesale credit lending. Experience working with large datasets and developing complex reports using SQL and other tools. Excellent analytical and problem-solving skills, with the ability to think critically and make informed decisions. Strong communication and interpersonal skills, enabling effective collaboration with cross-functional teams. Ability to work in a fast-paced environment, prioritizing multiple tasks and meeting tight deadlines. Proficiency in writing detailed business cases, functional requirement documents, and business requirement documents. Experience with Basel Capital Rules is preferred. Experience with processes relating to regulatory reporting requirements such as Comprehensive Capital Analysis and Review (CCAR), Single Counterparty Credit Limits (SCCL). Experience and technical understanding of product knowledge across all asset classes. Experience supporting large initiatives across multiple functional groups. Experience working in a highly regulated environment and identifying, performing, and documenting controls and governance processes. Strong analytical skills, proficient in SQL at an intermediate to advanced level, capable of handling complex data sets or with APIs. Proficient in writing detailed business case, Functional Requirement Document (FRD), Business Requirement Document (BRD), Data flow diagrams for various business processes. Well-versed and experienced in SDLC, using both waterfall and Agile methodologies (such as Scrum, Kanban, SAFe®, etc.) for delivering projects. Must be willing to lean and align with the evolving technology trends in the industry. Proven ability to manage multiple activities and build/develop working relationships. Proven self-motivation to take initiative and master new tasks quickly. Demonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail. Should have very good communication skills/interpersonal skills. Ability to build strong relationships with cross-functional teams across organization. Successfully partnering with technology and business to define requirements and drive issue resolution. Experience in BPM project plans and facilitates working group sessions throughout all phases of the BPM process. Monitors, documents and presents process improvements. Prior experience working in consulting role. Ability to work with senior stakeholders and business sponsors. Strong Delivery Credentials. Exposure to Cloud technologies (Azure, AWS, GCP, OCI, etc.), data modelling, Python, R, JSON, XML is beneficial. Knowledge or readiness to learn software like GitHub, Bitbucket, SonarQube, Figma, Power BI, Tableau, ClickView, Visio, Qlik Sense, Postman, and ADO boards.

We are looking for a skilled professional with 7 to 12 years of experience to join our team as an Assistant Manager in Commercial Strategy, located in Bengaluru. The ideal candidate will have a strong background in commercial functions and hands-on experience with advanced analytics, including Machine Learning and AI. ### Roles and Responsibility Support clients in achieving commercial excellence through data analytics. Build relationships with EY offices globally and demonstrate knowledge of regional practices. Develop and implement analytical solutions for commercial functions such as pricing strategy, category management, and marketing effectiveness. Collaborate with cross-functional teams to drive business growth and improvement. Identify opportunities to enhance the effectiveness of services provided using current technology and tools. Design and develop new solutions and tools leveraging advanced statistical and Machine Learning models. ### Job Requirements Postgraduate degree (MBA) in Business, Finance, or Marketing. Minimum 7 years of related work experience in commercial functions. Experience working with technologies like Python/R, SQL, Power BI, and advanced analytics. Hands-on experience with Machine Learning and AI. Strong leadership and relationship-building skills. Ability to translate client questions into analytic plans and project scopes. Understanding of M&A life cycle, carve-out/integration of a business post-announcement of transaction, and cross-border M&A. Willingness to undertake international travel as per business requirements.

We are looking for a highly skilled and experienced Senior Consultant to join our team in the Financial Services Office (FSO) - Financial Services Risk Management (FSRM) - Credit Risk. The ideal candidate will have 3-8 years of experience. ### Roles and Responsibility Demonstrate deep technical capabilities and industry knowledge of financial products, particularly lending products. Understand market trends and demands in the financial services sector and client issues by staying updated on current business and industry trends. Monitor progress, manage risk, and communicate status, issues, and key priorities with stakeholders to achieve expected outcomes. Actively mentor junior consultants and review/analyze tasks completed by them. Flexibility to work on projects involving model audits, validation, and development activities. Possess strong documentation skills and the ability to quickly grasp key details and summarize them in presentations or documents. ### Job Requirements Postgraduate degree in accounting, finance, economics, statistics, or a related field. At least 3 years of related work experience in credit risk management, ECL, and stress testing. Complete understanding of climate risk models for credit underwriting, ECL, and stress testing. Knowledge of climate risk-related requirements published by regional regulators like FED, EBA, BNM, APRA, MAS, and other regulators. Understanding of Credit Risk and Risk Analytics techniques is desirable. Hands-on experience in data preparation, manipulation, and consolidation. Strong background in statistics and econometrics. Ability to take initiative and work independently with minimal supervision. Strong technical skills, proficient in Advanced Python (Pandas, Scikit Learn, Object-Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, Excel. Certifications such as FRM, CFA, PRM, SCR are a plus. Experience in Data/Business Intelligence (BI) Reporting is beneficial. Good to have knowledge in Machine Learning models and their applications. Willingness to travel to meet client needs. Previous project management experience is advantageous.

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Empower India Data and Reporting team is looking for a manager who manages a team of analysts or developers who facilitate business intelligence processes and procedures development and implementation. Responsible for designing, implementing, and evaluating measurement systems for marketing campaigns, using data and analytics to understand campaign performance and provide insights for optimization. This role combines business understanding with technical skills in data analysis, reporting, and visualization. Role Responsibilities: Lead a team that is responsible for providing management with targeted, incisive and succinct dashboards, reports, and analysis that promote data-driven decisions Provide strategic input and support of the organization’s Business Intelligence roadmap implementation and continued evolution Define project requirements by identifying project milestones, phases and elements; forming project team; establishing project budget Monitor project progress by tracking activity; resolving problems; publishing progress reports; recommending actions Identify opportunities for automation of tasks to reduce manual interventions and errors Identifying the current- and future-state business projects/processes Facilitating the negotiation of requirements amongst multiple stakeholders Suggest changes to senior management using analytics to support your recommendations Implement advanced strategies for gathering, reviewing and analyzing data requirements Creating, analyzing, and validating detailed functional and non-functional specifications Responsible for up-skilling the team based on the project pipeline and year end performance reviews. Required Skills & Experience: 9-14 years of experience working in business intelligence, analytics, data science or related experience; along with people management experience Expert knowledge on SAS, SQL, Tableau programing languages; and should be open to learning new technologies in analytics like AWS, R, DISCO and so forth. Experience in Data Analytics, Business Intelligence and Reporting, with client facing and consulting expertise Experience in managing and leading a team. A performance-oriented, resourceful and competitive individual with a high sense of urgency Able to prioritize analytical requests in face with changing priorities and competing demands Excellent verbal and written communication skills with a strong aptitude for problem solving Extensive experience in report, dashboard, and scorecard design/implementation An individual of the highest integrity, whose professional and personal conduct reflects favorably upon the company Experience in marketing campaign measurement and campaign performance preferred Understanding of data-warehousing concepts and data architecture is a plus. We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.

The Gen AI Team Lead holds a pivotal position within the DigitalX organisation, responsible for multiple value teams under the EnablementX hub. This role involves leading and managing these teams, steering the PODs strategic and tactical goals, and ensuring alignment with the aspirations of the DigitalX leadership. Essential duties include coordinating value teams, developing and implementing roadmaps, coaching team captains, guiding backlog grooming, leading POD management standups and retrospectives, consolidating value team statuses at the POD level, and working closely with the hub leadership team. Responsibilities: Lead and guide teams and team captains, assisting in the planning and execution of tasks. Foster a POD culture that values experimentation and ownership. Collaborate and coordinate with employees across all levels to prioritise and align POD activities and deliverables. Aim to create a unified team within the POD, ensuring everyone works together towards their objectives. Facilitate meetings for discussions, including brainstorming, problem identification, and solution development. Identify and address any risks or issues related to the POD. Adhere to and promote the DigitalX operating model along with its processes and policies. Provide regular coaching and feedback to POD members. Report POD progress to DigitalX leadership. Offer input on people development and performance to relevant DigitalX leaders. Location(s) Bengaluru, India Requirements Required Qualifications: BA/BS in Computer Science, Information Technology, or equivalent experience required. Minimum of 8-10 years related experience in AI and ML space Strong use of Microsoft Office applications and agile project management toolsets. Excellent judgment and organization skills. Preferred Qualifications: Advanced Degree: A Master's degree in fields like Data Science, Computer Science, Bioinformatics, or a related quantitative field is essential. Technical Skills: Extensive Machine Learning/Deep Learning Experience: Significant hands-on experience with machine learning (ML) and deep learning, particularly with Large Language Models (LLMs). Proficiency in LLM fine-tuning, training, and building Retrieval-Augmented Generation (RAG) systems. Programming Skills: Strong proficiency in programming languages like Python, R, and SQL. Experience with relevant frameworks and libraries (e.g., PyTorch, Keras). Cloud Computing: Understanding of cloud-based data platforms and technologies (e.g., AWS, Azure, Google Cloud). Software Engineering and Platform Engineering: Experience in large scale platform development and deployment Pharmaceutical Industry Knowledge: GxP and Regulatory Compliance: Familiarity with Good Practices (GxPs), regulatory requirements, and quality standards in the pharmaceutical industry. Understanding of the drug discovery and development process, clinical trials, and regulatory submissions. Bioinformatics and Computational Biology: Knowledge of bioinformatics and computational biology, particularly in relation to drug discovery and development. Leadership and Soft Skills: Strategic Thinking: Ability to develop and implement AI strategies aligned with business goals. Cross-Functional Collaboration: Strong collaboration skills to work with diverse teams, including data scientists, researchers, and business stakeholders. Communication : Excellent written and verbal communication skills to convey complex technical information to both technical and non-technical audiences. At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas Responsible Flexibility Guidelines.

Veeva Platform Engineer - Payments Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Purpose and Scope: As a Platform Engineer of a team of individuals in a specific area of digital expertise, you will be a crucial player in driving our digital initiatives forward in our agile organization. Our agile operating model consists of two components Digital Capability and Digital Execution. Digital Execution are about aligning multiple missions around business goals and facilitating collaboration on a larger scale. Digital Capability, on the other hand, focus on the growth and development of individuals within a specific expertise area. This dual structure enables us to scale agile practices efficiently while maintaining a focus on both product development and individual skill enhancement. An Enterprise Business Platforms Engineer focuses on the development, deployment, and integration of software platforms that support our business processes and operations. This role involves a blend of technical expertise, business acumen, and a deep understanding of Veeva Clinical Platform. The goal is to ensure these platforms are optimized to support business goals, enhance efficiency, and drive growth. You will be at the forefront of implementing innovative solutions and will have the opportunity to work on cutting-edge technologies in your field. Essential Job Responsibilities: Platform Development and Configuration: Design, develop, and configure business platforms to meet the specific needs of our organization. This could involve programming, configuring settings, and integrating various software solutions. System Integration: Ensure seamless integration between different business platforms and systems (e.g., integrating CRM and ERP systems) to enhance data flow and business processes. Performance Monitoring and Optimization: Regularly monitor the performance of business platforms, identify bottlenecks, and implement optimizations to improve efficiency and user experience. User Support and Training: Provide technical support to platform users, resolve issues, and conduct training sessions to ensure users can effectively utilize the platforms. Initiative Execution: Actively participate in and contribute to various initiatives, applying your specialized skills to achieve the objectives and expected Value. Contribute to the ongoing realization of Value from these enterprise platforms through continuous integration and deployment. Collaboration: Work collaboratively with team members within the subdivision and across other digital and business units. Continuous Learning: Engage in continuous learning and professional development to stay abreast of the latest trends and technologies in a specific area of expertise. Innovation: Contribute innovative ideas and approaches to enhance project outcomes and digital capabilities. Reporting: Regularly report on the progress of the various Value Teams and outcomes to your Capability Lead and team members. Problem-Solving: Employ analytical and problem-solving skills to overcome project challenges and deliver effective solutions. Quality Assurance: Ensure the highest quality and consistency in the work delivered. Requirements Qualifications: Required Bachelors degree in relevant field, e.g., Computer Science, Data Science Minimum of 3-5 years of demonstrated relevant experience Demonstrated experience in developing and configuring in the Clinical Operations space using Veeva Vault Payments Business Process Understanding: Knowledge of Clinical operations business processes and how Vault Clinical supports these processes Strong analytical and problem-solving skills Ability to work effectively in a team environment Excellent communication skills, both written and verbal Agile and adaptable to changing environments and project scopes Present technical solutions based on the business requirement of the Clinical Veeva system. Able to support technical upgrade on quarterly basis by conducting technical impact assessment, addressing any technical issues, support the environment management, support testing, and document changes per the SLC process Manage user account, create roles, and support quarterly user access review request. Support system deliverables and provide technical feedback during internal and external Veeva Clinical system audit Work closely with the internal privacy and security team to assess Personal Information requests and act according per the privacy laws Maintain and report any issues and communicate effectively to all stakeholders during project/enhancement phase, service disruptions, and during the technical upgrade Preferred Veeva Admin Certification 1-3 years demonstrated experience with Veeva Vault Clinical Agile Champion: Adherence to DevOps principles and a proven track record with CI/CD pipelines for continuous delivery Technical Proficiency: Strong coding skills in relevant tools and technologies, e.g., Java, C++, Python, R, SQL is highly beneficial

Practice Overview Practice: Data and Analytics (DNA) - Analytics Consulting The Role and Responsibilities We have open positions ranging from Data Engineer to Lead Data Engineer, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with clients to understand their business challenges Exploring large-scale data and designing, developing, and maintaining data/software pipelines, and ETL processes for internal and external stakeholders Explaining, refining, and developing the necessary architecture to guide stakeholders through the journey of model building Advocating application of best practices in data engineering, code hygiene, and code reviews Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects Creating and maintaining documentation to support stakeholders and runbooks for operational excellence Working with partners and principals to shape proposals that showcase our data engineering and analytics capabilities Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art data engineering techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or masters degree in a computational or quantitative discipline from a top academic program (Computer Science, Informatics, Data Science, or related) Exposure to building cloud ready applications Exposure to test-driven development and integration Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with ability to manage workload and meet deadlines in a fast-paced environment Collaborative team player Excellent verbal and written communication skills and command of English Willingness to travel Respect for confidentiality Technical Background Prior experience in designing and deploying large-scale technical solutions Fluency in modern programming languages (Python is mandatory; R, SAS desired) Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data tools like Hadoop, Spark, Kafka Demonstrated knowledge of data structures and algorithms Familiarity with version control systems like GitHub or Bitbucket Familiarity with modern storage and computational frameworks Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Valued but not required: Compelling side projects or contributions to the Open-Source community Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Familiarity with containerization technologies, such as Docker and Kubernetes Experience with UI development using frameworks such as Angular, VUE, or React Experience with NoSQL databases such as MongoDB or Cassandra Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Interview Process The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what youre looking for when applying for the role, and your potential value-add to our team.