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Novo Nordisk Global Business Services (GBS), India Department- Centralised Monitoring Unit (CMU)- Bangalore Does your motivation come from challenges and working in a dynamic environmentDo you thrive in a working environment where close collaboration with key stakeholders and strategic alignment is essentialDo you have a can-do attitude with continuous improvement as one of your career objectivesThen we might have the right position for you. Apply now and join a growing team, working in an international environment. About the department The Centralised Monitoring Unit (CMU)- Bangalore, is a department within the Global Trial Portfolio area. It is a perfect blend of skilled medical professionals (Medical reviewers), technical programmers (Functional programmers, statistical monitors) and Medical Illustrators. Medical reviewers actively involved in Risk based medical monitoring in collaboration with the medical specialists from Denmark, with focus on ensuring overall patient safety and wellbeing of all clinical trial participants, by ensuring compliance to protocol and identifying potential clinically significant outliers that requires medical attention and medical data cleaning. The Functional Programmers develop operational visualisations in data visualization tools to support the trial teams on proactive centralised monitoring and Statistical Monitors perform detection of unusual data patterns, systematic errors and potential lack of compliance or fraud across trials. Medical Illustrators are responsible for developing engaging visual content for our clinical meetings. The Position As Central Monitor, an ideal candidate will be responsible for providing inputs in defining standard and trial specific key risk indicators and performing ongoing monitoring of operational risks. Ensure both standard and trial specific Key Risk Indicators (KRIs) impacting patient safety and data quality and regulatory compliance are appropriately defined as per protocol, monitoring strategy etc prior to start of centralised operational monitoring review. Responsible to Perform ongoing centralised operational monitoring activities on assigned studies using vendor platform dashboards/outputs in accordance with NN SOPs, ICH/GCP, regulatory guidelines & directives. Provide inputs to applications, databases and systems used to monitor operational data. Responsible for communication and findings of operational review to relevant stakeholders to enable decision making. Act as primary contact for relevant stakeholders and participate in project meetings for assigned centralized monitoring studies . Prior experience with RBQM (Risk-Based Quality Management) and field monitoring as a CRA is desirable. Familiarity with analytical tools is preferred, as well as experience using SAS, Python, R, and SQL. Contribute to discussions around share learnings and practices with wider CMU department colleagues and with other relevant stakeholders Maintain knowledge of and act in compliance with global and local SOPs, GCP and other regulatory requirements. Qualifications Minimum of bachelors degree in life science/scientific or health care discipline. Above 3 years of relevant clinical research experience with good knowledge of drug development process and risk-based quality management principles. Prior CRA/Field Monitoring and analytical tool experience is desirable Skill in aggregate data review and interpretation using visualization/analysis softwares Solid understanding of clinical trial design, trial execution and operations. Ability to successfully manage multiple projects and priorities. Good Communication & Presentation skills. Ability to work collaboratively and effectively in a cross functional and culturally diverse teams. Ability to work independently/responsively and with tight deadlines and under pressure. Quality mind-set and strong analytical skills, Strong attention to detail , Proactive and resilient to changes . Interact with colleagues, stakeholders, project members, management in a proactive and professional manner.

Novo Nordisk Global Business Services (GBS) India Department- Clinical Drug Development (CDD) - Bangalore Global Development Does your motivation come from challenges and working in a dynamic environmentDo you thrive in a working environment where close collaboration with key stakeholders and strategic alignment is essentialDo you have a can-do attitude with continuous improvement as one of your career objectivesThen we might have the right position as Statistical Monitor for you. Apply now and join a growing team, working in an international environment. About the department Clinical Data Science, Global Business Services (CDS GBS) was started in September 2007 and within a short span of 16 years since its inception, has transitioned from a small start-up to one of the largest units in GBS and a key contributor to Novo Nordisk clinical development portfolio. As the organisation is growing along with the Research & Development portfolio, we are looking for several new medical Reviewing colleagues. In Clinical Data Science, we are responsible for managing clinical drug development worldwide from early development phases to product introduction. The CMU Bangalore is established in GBS to support the Risk Based Monitoring of clinical trials conducted by Novo Nordisk in line with health authority requirements. The unit is responsible for performance of centralised medical review of patient data that includes medical monitoring and lab surveillance; Statistical Monitoring analysis, and generation of visualisations and reports identifying outliers and trends from various data sources. The Position The Statistical Monitor plays a critical role in supporting Risk-Based Monitoring within Clinical Drug Development by operating and maintaining the centralized Statistical Monitoring function. This position focuses on detecting unusual data patterns, systematic errors, and potential instances of non-compliance or fraud that may not be identified through routine monitoring processes. The Statistical Monitor analyses clinical data across trials and projects to safeguard data integrity, which is essential for the approval of new drug. The role requires a high level of independence, with the potential to mentor junior colleagues and contribute to continuous improvement in data reliability and compliance. Responsible to operate and maintain the Statistical Monitoring function to identify unusual data patterns, systematic errors, and potential protocol non-compliance or fraud across clinical trials and projects. Work closely with trial and project teams, as well as data management and programming experts, to plan and execute statistical monitoring activities according to project timelines. Communicate monitoring observations to relevant stakeholders, support the interpretation of data issues, and contribute to data correction and quality improvement efforts. Contribute to the development, maintenance, and enhancement of statistical monitoring tools and methodologies, including exploring and implementing new techniques. Support training initiatives, participate in meetings and seminars, and foster strong collaboration and knowledge sharing with colleagues and cross-functional teams. Qualifications Holds university degree in life science or engineering (e.g. B.Sc., MSc, MD) or equivalent. 2 years of experience in pharmaceutical industry and preferably 1 year of experience with exploration and/ or visualisation of clinical trial data and scientific data. Experience from clinical development and understanding of data flow. Thorough understanding of clinical research and GCP. Understanding of basic statistical methods, preferably experience from reporting/publishing clinical/scientific data. Good knowledge on computer systems and IT. Exposure with SAS / JMP programming. Worked according to GxP and guidelines within drug development.

We are looking for a highly motivated and talented Junior Data Scientist to join our team at AGR Knowledge Services Pvt Ltd. The ideal candidate will have 2-4 years of experience in the field. Roles and Responsibility Collaborate with cross-functional teams to design and develop data-driven solutions. Analyze complex data sets to identify trends and patterns, providing actionable insights. Develop and maintain databases, data systems, and data pipelines. Design and implement machine learning models and algorithms to solve business problems. Work closely with stakeholders to understand business needs and develop targeted solutions. Stay up-to-date with industry trends and emerging technologies in data science. Job Requirements Strong foundation in statistics, mathematics, and computer science. Proficiency in programming languages such as Python, R, or SAS. Experience with data analysis tools such as SQL, Excel, or Tableau. Knowledge of machine learning algorithms and deep learning techniques. Excellent communication and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines.

Novo Nordisk Global Business Services (GBS) India Department Centralised Monitoring Unit, CDS GBS - Bangalore Are you passionate about what you are doingDo you want to build excellence within processes in the most efficient wayDo you have innovative mindset to drive change in a future-ready environmentAre you best at what you doIf so, raise your hand as there is an exciting opportunity waiting for you as an "Functional Programmer " with us. "" At Novo Nordisk, we assure you will experience the best. About the department Bangalore Global Development since its inception, has transitioned from a small start-up to one of the largest units in Global Business Services, Bangalore (GBS) and a key contributor to Novo Nordisk clinical development portfolio. The Centralised Monitoring Unit (CMU) was established in GBS in 2016 to support the Risk Based Monitoring of clinical trials conducted by Novo Nordisk in line with health authority requirements. The unit is the single and only entity across the globe responsible for performance of centralised medical monitoring for all clinical trials involving medical review of patient data that includes medical monitoring and lab surveillance and generation of visualisations and reports identifying outliers and trends from various data sources. The Position As a Functional Programmer, the role involves generating standard and customized trial monitoring reports to support Risk-Based Quality Monitoring (RBQM) across clinical trial portfolios, using tools like SQL, SAS, Power BI, and Python. Responsibilities include understanding stakeholder needs, programming data-driven reports from multiple clinical systems, and ensuring high-quality deliverables through rigorous quality checks. The role also includes preparing documentation, supporting process improvements, and contributing to training initiatives. Responsible to generate standard and custom trial monitoring reports using languages like SQL, SAS, Python in different BI tools (Qlik Sense, Power BI, SAS JMP Clinical, Clue Point, eClincal etc.) ensuring alignment with stakeholder needs and RBQM requirements. Responsible to prepare, maintain, and peer-review report-related documentation; develop and perform quality checks to ensure accuracy and compliance. Conduct and chair trial monitoring meetings, gather requirements, train stakeholders on report usage, track requests, and manage expectations and timelines. Train and mentor new team members, support onboarding processes, and assist in developing training materials based on project needs. Ensure contributing to process enhancements, share best practices, and support the manager in resource allocation and project timeline planning. Qualifications A Masters or Bachelors degree in Life Sciences, Computer Science, Information Technology, Clinical Information Management, or a related field. Equivalent qualifications or relevant professional certifications will also be considered. Above 3 years of experience in the pharmaceutical or life sciences industry, with a minimum of 2 years in clinical data management systems, bioinformatics, or as a Clinical Research Associate. Strong technical proficiency in computer systems and IT, particularly as they apply to clinical data handling and process optimization. In-depth understanding of GxP principles, as well as international guidelines and regulations related to drug development. Knowledge of computer system validation practices is essential. Proven experience in project management, team supervision, and mentoring, with the ability to lead cross-functional and cross-regional collaborations effectively. Strong interpersonal and presentation skills, with the ability to communicate complex technical and clinical concepts to both technical and non-technical stakeholders. Solid understanding of the drug development lifecycle, along with working knowledge of basic medical and clinical terminology. Advanced skills in any of the programming languages such as SAS, VBScript, SQL, PL/SQL, Power BI, or Python. Experience with additional tools like JSL, R-Shiny, or Natural Language Processing (NLP) is a strong plus.

: As one of the largest e-commerce companies in the world, Amazon Payments processes billions of secure on-line transactions via a number of payment mechanisms, including credit cards, convenience store payment, netbanking, digital cash, cash on delivery and electronic gift certificates. Transactions are processed on behalf of thousands of merchants, including Amazon.in. Amazon is known across the globe as the most trusted company on the Internet. We are committed to delivering an exceptional customer experience. Payments owns and maintains the software platform which processes 20+ payment methods worldwide. The Business Operations team owns the Process and Policy definition, policy implementation and roll out as well as process monitoring and automation. This team defines policies which are adhered to be internal clients like such as Product/Business, Customer Service, Finance, Accounting, Compliance, and Fraud as well as third party partners and banks relied upon to process payments. About the role: Working in a dynamic environment, you will be responsible for automating dashboards, monitoring key success metrics, managing WBR reports, identifying problem areas and business challenges and collaboratively shaping solutions with Amazon Pay teams to help optimize on the platform. The successful candidate has a passion for extracting actionable insights from data. The candidate needs to innovate, and quickly become a subject matter expert to assess business performance across different Amazon Pay areas. The candidate should have significant experience working with automation, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner using data across various data marts, and align focus on Amazon s strategic needs. The candidate should enjoy problem solving and is proficient in VBA and other automation tools. Key Responsibilities: Understanding drivers, impacts, and key influences in the BizOps Domain. Partnering with the business team to create key performance indicators and new methodologies for measurement. Translating data into actionable insights for the stakeholders. Automate reporting for weekly business metrics, identify areas of opportunity to automate and scale ad-hoc analyses You will perform complex data analysis (root cause deep dives, correlations, regressions, simulations, and optimization) to identify different opportunities to reduce process gaps. You will build infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions 1+ years of capacity planning, operations planning, business analysis or similar experience Bachelors degree Knowledge of data pipelining and extraction using SQL Knowledge of SQL and Excel at a moderate or advanced level 1+ years of data analytics or automation experience Experience with data mining tools like SQL, SAS, SPSS, or similar Bachelors degree in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field

Our Customer Experience and Business Trends (CXBT) team is seeking a skilled and motivated Business Intelligence Engineer (BIE) to analyze and deliver insights to help us better serve customers. Our team within the CXBT organization is called Benchmarking Economics, Analytics, and Measurement (BEAM). BEAM is a central team that consists of economics, analytics (business intelligence) and measurement science (data scientists). Our mission is to drive customer experience (CX) improvement through science modeling and quantitative data analytics. Our core functional skills include: data collection, science modeling, insights reporting, and automation. The right candidate is passionate about understanding customer needs, perceptions, and experiences, diving deep into complex problems, and continuously striving to deliver deeper insights. The person in this role will innovate, build new methodologies to generate insights, and make recommendations to drive actions that directly impact our current and future customers. A successful candidate will possess excellent analytical skills, and have the ability to work collaboratively to influence business leaders at all levels, including senior management. Own, design, develop, document, and manage scalable solutions for new and ongoing analyses metrics, reports, and dashboards to support business needs Identify new data sources and invent new methodologies and approaches to understand and drive improved customer experiences Drive efforts to simplify, automate, and standardize processes across the team to drive efficiencies, expand scope, and drive increased impact to customer experience Articulate assumptions, methodologies, results, and implications Present analyses to both technical and non-technical stakeholders, ensuring clarity and understanding About the team Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings for almost every business at Amazon for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds including: Product Managers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

About Role: This position is part of the Global Technical Accounting & Services organization, which has overall responsibility for the activities of Technical Accounting functions worldwide, including the Business Solution Centers. This position will report to the Manager Operations Southeast Asia & India. This team is expected to regularly meet the KPI, Quality targets pertaining to Technical Accounting Team & perform extensive data validations/analysis based on Reinsurance Contract wording for the respective Clients. One of the key activities is to ensure that payments received from clients (for example premiums) and payments made to clients (for example claims) reconcile against those payments expected. The client management expectation of this role would require you to correspond with internal and external stakeholders/clients to resolve issues related to Data quality aspect. Improvising while working within a set framework of policies and processes is key to the role. Principal Responsibilities towards: Operations: Consistently deliver on operational commitments. Develop & create data analysis summaries that aid decision making within and outside the Technical Accounting boundaries & can be consumed by multiple cross functional teams. Monitor the financial numbers accounted into Technical Accounting Swiss Re system on regular basis & identify adverse Premium/Claim trends from the Client data. Deliver on the TA mandate including KPIS to effectively manage/accelerate Cash in the books while demonstrating Swiss Re Values. Premium and Claims validation to be performed on the Client Seriatim data, make sure client reported data is complying with Contract wordings/agreement. Taking initiative at functional level to enhance the technical/Process knowledge of people across Technical Accounting team & act as Subject Matter Expert. People: Collaborate with team members and take ownership for team activities in specific markets Deliver results in consultation and as part of multiple-matrixed teams besides directly assigned work Build a network with both cross-functional and cross-geographical Swiss Re teams to discuss & Implement best Business Practices. Stakeholders (Cross Functional Team Coordination): Build and manage strong relationships with stakeholders and contribute to strengthening client relationship. Managing efficient and effective relevant business processes, portfolios in coordination with stakeholders. About you: Graduate/Postgraduate in Commerce, Accounting, Insurance or equivalent field. 7+ years of work experience in the banking /insurance or any other financial services industry. Strong written & verbal communication skills. Strong Client management skills. Good Data analytical skills. Expertise in SAS & Python will be an added advantage. Sound Insurance Product Knowledge & understanding of Insurance/Reinsurance End to End Value Chain. About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134757

Manager Software Advisory Services - India Are you looking for an opportunity to lead IT Asset Management transformation projects for top global clients Overview: Connor Consulting International provides highly specialized accounting and advisory solutions to ensure contract, license, and royalty compliance. Since its inception in 2009, Connor has experienced tremendous growth, more than doubling in size annually, and is a trusted advisor to Fortune 500 companies across a range of industries globally. Connor s ongoing commitment to excellence in delivering professional contract compliance services has earned the trust of the world s largest software vendors. Our experienced teams ensure our clients are supported by seasoned industry experts. With the continued expansion of Connor s business and clientele, we are seeking a Manager ServiceNow ITAM Implementation to further enhance our capabilities and lead global ServiceNow ITAM engagements. This role is critical to driving value for our clients, overseeing the implementation of both HAM Pro and SAM Pro modules within ServiceNow, and managing multi-phased ITAM transformation projects. Main Responsibilities: Lead end-to-end implementation of ServiceNow ITAM modules (SAM Pro and HAM Pro), including configuration, integration, testing, and deployment. Oversee platform setup such as lifecycle workflows, license models, procurement approvals, reclamation processes, and CMDB alignment. Collaborate with cross-functional client stakeholders (IT, Procurement, Finance, Security) to define requirements, validate outcomes, and align on delivery goals. Manage integrations with discovery tools and platforms (e.g., SCCM, JAMF, ServiceNow Discovery, Flexera, BigFix). Provide executive-level reporting on project status, roadmaps, and dashboards. Define ITAM process frameworks, governance models, and process documentation including RACI charts, process maps, and SLAs. Drive continuous improvement through automation initiatives and optimization of license usage across major vendors (e.g., Microsoft, Oracle, Adobe). Deliver training and knowledge transfer to client administrators and end users to ensure long-term operational success. Requirements Experience, Skills, and Characteristics: 6+ years of experience in IT Asset Management or IT operations, with at least 3 years of hands-on ServiceNow ITAM implementation (HAM Pro and/or SAM Pro). Proven experience leading complex, multi-phase ServiceNow implementation projects. Strong working knowledge of ServiceNow CMDB, asset lifecycle workflows, discovery integrations, and license compliance models. Experience with licensing for key vendors (Microsoft, Oracle, Adobe, IBM, VMware, Salesforce). Excellent client-facing communication and presentation skills. Demonstrated ability to manage diverse stakeholder groups and deliver results in deadline-driven environments. Professional and personable demeanor, with strong organizational and leadership skills. ITIL v4, ServiceNow certifications (SAM/HAM Implementation Specialist), or ITAM-related certifications preferred. PMP or Agile certifications are a plus. 25%-35% domestic and international travel may be required. Related Working Technical Experiences: Experience with discovery/inventory tools (e.g., SCCM, JAMF, BigFix, Flexera). Understanding of SAM tools, cloud asset management, and compliance models. Familiarity with ServiceNow ITSM, CMDB, and performance analytics modules. Benefits Why Connor We approach every relationship with purpose, attention, and a little fun! You can expect a flexible working environment, paid mental health days, a generous vacation package, and competitive compensation. You ll be working with a highly driven, collaborative global team that values trust, accountability, and continuous learning. We nurture our people in a culture that promotes diversity and individuality that sparks innovation and creativity. Connor Consulting is an equal opportunity employer and values diversity, equality, and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you re ready to make a strategic impact and lead transformative ITAM projects for some of the world s most exciting companies, this is the right opportunity for you. Join us and be part of our Global Team. Apply now!

We are looking for a highly motivated and talented Junior Data Scientist to join our team at AGR Knowledge Services Pvt Ltd. The ideal candidate will have 2-4 years of experience in the field. Roles and Responsibility Collaborate with cross-functional teams to design and develop data-driven solutions. Analyze complex data sets to identify trends and patterns, providing actionable insights. Develop and maintain databases, data systems, and data pipelines. Design and implement machine learning models and algorithms to solve business problems. Work closely with stakeholders to understand business needs and develop targeted solutions. Stay up-to-date with industry trends and emerging technologies in data science. Job Requirements Strong foundation in statistics, mathematics, and computer science. Proficiency in programming languages such as Python, R, or SAS. Experience with data analysis tools such as SQL, Excel, or Tableau. Knowledge of machine learning algorithms and deep learning techniques. Excellent communication and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines.

Oversee the design, development, and implementation of CRM solutions, including customisations, integrations, and data migration. Mentor and guide junior team members, fostering their professional development and knowledge of CRM. Manage and maintain CRM platforms, ensuring optimal performance, security, and compliance. Stay up to date with the latest CRM technologies and trends, recommending upgrades as needed. Collaborate with project managers to define project scope, timelines, and deliverables. Track project progress, identify risks, and implement mitigation strategies. Foster a collaborative and supportive team environment that encourages knowledge sharing and innovation. Responsibilities: Bachelors degree in Computer Science, Information Technology, or related field. Strong proficiency in CRM platforms (i.e. Microsoft Dynamics 365) and related technologies. In-depth knowledge of CRM architecture, data models, and integration methods. Expertise in database management, including SQL for data retrieval, manipulation, and analysis. Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams. Strong problem-solving and analytical skills. Ability to manage multiple projects simultaneously and prioritise tasks effectively.

The missions of a senior functional expert are varied and hinge upon the strengthening of regulatory and accounting requirements related to the supervision and monitoring of risk models. In this context, you will be responsible for conducting internal model reviews (validation of the modeling, backtesting, etc.) that have been developed by the Groups modeling entities. Your main missions will be: - End to end responsibility of modeling validation missions, based on the planning and framework - Interact with the modeling entities - Analyze and test methods by using both technical knowledge and critical thinking. - Conduct quantitative reviews (statistics). - Be vigilant in the analysis of the regulatory compliance, robustness and performance of these models. - Contribute to the composition of a validation report in order to communicate the conclusions of the review mission. - Contribute and present the results of the review at the Models Committee - Ensure adequate documentation and archiving of the analyses carried out. -Mentoring Junior team members The functional expert works on many different topics such as: retail or wholesale credit risk (PD models, CCF models, LGD models, stress tests), market risk models (VaR/SVaR/FRTB, EEPE, CVA, SIMM, IRC/CRM...), models developed under the IFRS 9 framework, models developed to comply with US regulatory requirements. Profile required Ideal candidate should be well versed in credit risk model development, validation and maintenance of models (PD, LGD and EAD) for wholesale and retail credit portfolio of the bank as per regulatory guidelines. Exposure to banking book and understanding of trading book products and knowledge on BASEL/IFRS guidelines is highly desirable. Candidate should have excellent business communication skills. Educational Requirements: Post-graduation degree in quantitative discipline(Statistics, Economics, Mathematics engineering) from Tier I/II colleges. Additional certification in machine learning techniques or estimation of credit risk parameters will be preferred. Role Responsibility The ongoing monitoring of the model is a task that must be done in all phases of the model lifecycle (development, implementation, use). In order to track and measure the efficiency and adequacy of models, the model monitor conducts continuous analysis and controls as an early warning both initially at implementation (for new models) and regularly as a part of the models ongoing monitoring. For the purpose of these tests, the model monitor is responsible to: - Backtest re-calibrate each model designed and developed by the business, hence a thorough understanding of model development under Basel IFRS norms is critical. - Choose adequate model outcome analysis techniques such as: o Model estimates vs realized values (e.g. back-testing for some models); o Stability of model outcomes; o Benchmarking: model output vs output generated by comparable models or applications; o Sensitivity analysis to test robustness. - Analyze the model output and the related components (if applicable); - Model assumptions and limitations validity; - Results of benchmarking and sensitivity analysis; - Accuracy of models characteristics;(ROC/AUC, KS statistics, accuracy ratio, Gini coefficient etc) - Monitor over time in order to follow up trends and detect deviations; - Establish thresholds and action plan for major deviations; - Report this analysis to the different model stakeholders. - Implement a governance to monitor the corrective actions Furthermore, as part of the model ongoing monitoring phase, the model monitor should abide by the group standards on ongoing monitoring that establish guidelines on performance assessment processes including type, scope and range of tests and appropriateness of responses to any problems that may appear. Technical Skills: Regulatory risk model (IRB, IFRS9) model validation, monitoring, development (good to have) using SAS, R. Initiation to machine learning model validation. Functional Skills: Knowledge of Global regulatory Topics BASEL II/III IFRS 9 Understanding of risk management and risk quantification processes Understanding of forms of risk, viz. credit, market, operational, model etc. Behavioral Aspects: -Result Orientation -Client Focus -Contribution to Strategy -Cooperation -Team Player

3+ years of experience in development of regulatory credit risk (PD, LGD and EAD) and/or provision (IFRS9) models Exposure to banking book and knowledge of BASEL/IFRS9 guidelines is highly desirable; Exposure to guidelines from European Regulators is desirable Programing knowledge in SAS and/or R Excellent written (documentation) and oral communication skills in English LEADERSHIP SKILLS: Client Focus, Team Sprit, Commitment, Responsibility and Innovation As a part of the Risk Department, you will be at the center of Socit Gnrales business. The Risk Department aims to contribute to the development of business lines and their profitability through a challenging risk culture. Working within the Risk Department is intellectually stimulating, and current economic activities guide our analysis on a daily basis. As a key business partner, the department is in close proximity to all of the Groups business lines. Joining us would mean integrating into a network of proven excellent at the very center of the banks activities, opening access to new and exciting development opportunities. Within RISQ, the department ERA (Enterprise Risk Analytics) handles the analysis and the support in the steering of all the risks of the Group: supervision and steering of the rating system of the credit risk, the measure of the capital of the Group and the provisions (reserves), the analysis of the risk profile of the Group including under stress and in forward-looking vision.. These assignments, carried out in the context of projects or production processes whose scope or results are significant for the management of the Group or its compliance with banking regulations, are subject to defined and constrained schedules and resources, in the contexts demanding economic and regulatory environment. Profile required Masters or PhD (or similar) in a quantitative subject such as Mathematics, Physics, Economics or Finance, or a track record of performance that demonstrates this ability

3+ years of experience in development of regulatory credit risk (PD, LGD and EAD) and/or provision (IFRS9) models Exposure to banking book and knowledge of BASEL/IFRS9 guidelines is highly desirable; Exposure to guidelines from European Regulators is desirable Programing knowledge in SAS and/or R Excellent written (documentation) and oral communication skills in English LEADERSHIP SKILLS: Client Focus, Team Sprit, Commitment, Responsibility and Innovation As a part of the Risk Department, you will be at the center of Socit Gnrales business. The Risk Department aims to contribute to the development of business lines and their profitability through a challenging risk culture. Working within the Risk Department is intellectually stimulating, and current economic activities guide our analysis on a daily basis. As a key business partner, the department is in close proximity to all of the Groups business lines. Joining us would mean integrating into a network of proven excellent at the very center of the banks activities, opening access to new and exciting development opportunities. Within RISQ, the department ERA (Enterprise Risk Analytics) handles the analysis and the support in the steering of all the risks of the Group: supervision and steering of the rating system of the credit risk, the measure of the capital of the Group and the provisions (reserves), the analysis of the risk profile of the Group including under stress and in forward-looking vision. These assignments, carried out in the context of projects or production processes whose scope or results are significant for the management of the Group or its compliance with banking regulations, are subject to defined and constrained schedules and resources, in the contexts demanding economic and regulatory environment. EDUCATIONAL QUALIFICATION: Masters or PhD (or similar) in a quantitative subject such as Mathematics, Physics, Economics or Finance, or a track record of performance that demonstrates this ability KEY SKILLS: 3+ years of experience in development of regulatory credit risk (PD, LGD and EAD) and/or provision (IFRS9) models Exposure to banking book and knowledge of BASEL/IFRS9 guidelines is highly desirable; Exposure to guidelines from European Regulators is desirable Programing knowledge in SAS and/or R Excellent written (documentation) and oral communication skills in English

Department - Commercial DD&IT GBS Are you passionate about leading complex IT programs? Do you thrive in a dynamic environment where strategic thinking, collaboration, and innovation come together? If you have a proven track record in IT Program Management and are ready to make a difference, we want to hear from you! We are seeking a senior IT Program Manager to lead a large-scale, complex Customer Engagement ecosystem program supporting the HCP Engagement at a global environment (excluding USA). The role will focus on modernization and migration of the Customer Engagement ecosystem, integrating with portals, analytics and marketing platforms ensuring aligned delivery across business, markets, and technology stakeholders within a matrix organization. Read on and apply today for a life-changing career. Apply Now! The position As a Sr Program Manager HCP Engagements at Novo Nordisk, you will: Lead the planning, execution, and governance of IT programs to ensure successful outcomes. Lead the end-to-end delivery of Customer Engagement program including migration from legacy systems to newer technologies. Define and manage program plans, roadmaps, dependencies mapping, and milestones ensuring on-time, quality delivery aligned with business objectives. Drive complex integrations with other enterprise systems (e.g.: MDM, data warehouses, analytics, marketing automation, and HCP Portals). Engage with global and local business stakeholders (medical, commercial, compliance, data privacy) for requirements gathering, prioritization and alignment. Act as the primary escalation point for program risks, dependencies, and decision-making with senior leadership. Navigate a matrix environment while balancing global standards with local market needs. Drive execution of migration roadmaps including data migration, process harmonization, and change management planning. Collaborate with architecture and platform teams to ensure scalable, compliant configurations aligned with HCP engagement goals. Oversee validation, UAT, and cutover activities ensuring minimal business disruption. Manage vendor relationships including product implementation partners and system integrators. Proactively identify and mitigate delivery and operational risks. Ensure programs adhere to pharma quality, compliance (GxP, GDPR) and data privacy standards. Drive strategic alignment of IT initiatives with broader organizational goals. Establish clear project timelines, budgets, and deliverables, ensuring projects are delivered within scope, time, and budget. Facilitate communication and collaboration across cross-functional teams, including IT, business units, and external partners. Identify potential risks, develop mitigation strategies, and proactively address challenges. Champion digital transformation initiatives and promote the adoption of innovative digital solutions. Evaluate emerging technologies and recommend their integration into existing systems. Qualifications We are looking for a candidate who can bring the following skills and experience to the role: Bachelors degree in computer science, Information Technology, Business Administration, or a related field. A masters degree is preferred. Minimum 15+ years of experience in IT program management, with at least 12+ years in a senior or leadership role. Proven track record in managing complex digital and IT projects, including strategy development, implementation, and stakeholder engagement. Familiarity with IT infrastructure, software development lifecycles, and emerging digital technologies. Strong experience in budgeting, vendor management, stakeholder engagement, resource allocations etc. for large scale programs. Strong leadership and people management skills, with a consistent track record to build and lead impactful teams. Excellent communication, negotiation, stakeholder leadership and conflict resolution skills. Superb analytical and problem-solving skills with a focus on continuous improvement. Ability to engage, build and sustain trusted relationship both internally and externally. Proven track record of working in matrix setup of internal and external partner setup to deliver quality service management. Preferred Skills VEEVA/Salesforce certifications or formal training. Experience with CRM analytics and data migration tooling. Background in implementing CRM integrations with marketing automation platforms and content management systems. Experience in leading organizational change management alongside CRM rollouts.

Responsibilities Support for Carrying out Engineering review, Testing, FAT, commissioning. Knowledge of Protection setting calculation, scheme, configuration of various make Relays, BCU etc. Support to RCA, FMEA, Diagnosis of all CRP-SAS-Communication. Supporting Day-to-day coordination of all control & protection related issues. Support to site team on real time basis for testing, commissioning, and O&M issues. Support to Carry out review of Protection scheme, requirements, setting, coordination, configuration during Engineering design, Commissioning stage. Support to review of engineering and O&M aspects of Protection, SAS, and interfacing. Supporting for Monitoring & reviewing of Periodic testing of control & protection. Database & Record maintenance with analytics for Testing and maintaining of substation equipment, Protection System, SAS, communication for all stations & CCR. Support to conduct time to time protection audits of all substations. Optimize the available inventory and procure new inventories as per need for the allocated area. Ensure quality assurance, safety and environment standards by way of well-defined review mechanism. Support for Checking of all substation protection, SAS, communication scheme. Understanding of Electrical EHV substation, EHV Transmission line, Power plants. plant related equipment and Auxiliaries. Understanding philosophy, application, and technology for Electrical Protection. As a part of job requirement, one has to travel frequently at site locations as per requirement. Maintain data base for system, equipment, Tripping, occurrences. Daily / routine monitoring of substation events and occurrence and preparing relevant report / data to support RCA & Troubleshooting. Data collection for Occurrence Analysis (RCA), Reporting, Trouble shooting. Qualifications Educational Qualification: BE / B. Tech – Electrical Experiences : 4 to 10 Years

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/Configuration Mgmt - DevOps/Configuration Mgmt - Docker ETL - ETL - AWS Glue DevOps/Configuration Mgmt - Cloud Platforms - AWS DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes) Database - Sql Server - SQL Packages

Job ID: 31722 Location: Bangalore, IN Area of interest: Corporate & Commercial Banking Job type: Regular Employee Work style: Office Working Opening date: 21 Jul 2025 Job Summary The role is within the Wholesale model development team and focusses on Credit Risk models used in calculating ECL and RWA for regulatory purposes. The individual should have knowledge and experience in risk model regulations, model development, statistics and mathematics to support the development of such models. Key Responsibilities Strategy Develop credit risk IRB, IFRS9 and Pillar 2 Stress Testing models for the measurement of PD, EAD and LGD for the wholesale portfolio. Support continuous improvement efforts through research on techniques, process and domain. Execute end to end model development steps. The responsibility will also include efforts on data preparation, documentation, presentation and maintaining minutes of key decisions made during the development lifecycle. Adopting best coding standards and automation to help create coding repositories for various methods used across modelling team. Business Ensure that models are fit for purposes not only for regulatory estimates but also for daily business usage, underwriting decisions, risk appetite decisions and strategy design. Processes Participate in relevant model implementation and its user acceptance test to ensure models are appropriately implemented not only within the direct system environment but also its relevant downstream environments. People and Talent Lead through example and demonstrate the bank’s culture and values. Skills and Experience Our Ideal Candidate Master's degree in Quantitative Discipline (e.g. Mathematics, Statistics, Economics, Financial Engineering, Engineering). 3- 5 years of relevant work experience in a (Bank or Big 4 Consulting- preferred) Knowledge of Regulatory and Risk management (e.g. Basel, IFRS9, Stress Testing, ECL, etc) Experience of working in Wholesale Lending Risk Analytics will be an advantage. Strong communication skills. Software Skills SAS, Python, R Role Specific Technical Competencies Statistics Proficiency in SAS / R / Python or other statistical package Knowledge of Basel / CRR / EBA and IFRS 9 regulations Machine learning techniques Analytical Competencies Action Oriented Collaborates Customer Focus Gives Clarity & Guidance Manages Ambiguity Develops Talent Drives Vision & Purpose Nimble Learning Decision Quality Courage Instills Trust Strategic Mindset Technical Competencies: This is a generic competency to evaluate candidate on role-specific technical skills and requirements About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Recruitment Assessments Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process. Visit our careers website www.sc.com/careers www.sc.com/careers

Responsibilities: Develop and optimize fixed-income analytics in C++ and integrate with existing client systems. Work on curve construction, bond pricing, and risk management analytics. Collaborate with quants and software engineers to enhance the performance of analytical models. Implement robust software engineering practices to ensure model reliability and scalability. Conduct thorough unit testing and performance benchmarking. Skills & Qualifications: At least 7-8 years of experience in building various models in the financial services space Strong proficiency in C++, including multithreading and performance optimization. In-depth understanding of fixed-income securities, term structure models, and derivatives pricing. Experience with financial libraries such as QuantLib or proprietary quant frameworks. Exposure to cloud-based and high-performance computing environments. Strong knowledge of risk analytics and fixed-income portfolio management. Key Responsibilities Develop and implement Treasury Futures and Options on Treasury Futures Models in BondCalc. Expand and enhance test suites to validate the implementation. Collaborate with Quants and Quant Developers to modernize analytics infrastructure for bonds. Ensure compliance with industry-standard style guidelines for coding and model implementation. Conduct model validation, risk calculations, and performance tuning. Required Skillset Strong expertise in C++ development, particularly in quantitative analysis and financial modeling. Experience with Python, TypeScript, and SQL for data processing and analytics. Deep knowledge of fixed income analytics, risk modeling, and derivative pricing. Hands-on experience with server-side infrastructure and database components. Ability to work in a trading desk or asset management environment. Ensure compliance with industry standards and testing protocols. Preferred Qualifications Experience working in investment banking or asset management environments. Familiarity with quant libraries and financial engineering concepts. Proven track record of delivering large-scale quantitative development projects.

Bachelor’s degree in mathematics, Computer Science, Data Science, Applied Statistics, or a related field, master’s preferred. Overall, all 4 to 7 Years and >3 years’ experience building statistical modelling tools & underlying algorithms, optimization / machine learning, and data mining models. Experience analysing large, complex data sets yielding opportunities for revenue and/or process improvement within an organization. Ability to problem solve and identify creative solutions. Understanding of data lakes and relational databases Experience in data visualization tools (Power BI, Tableau, SAS Analytics) a plus. Interpersonal skills: exceptional verbal/written communication, listening and presentation skills with attention to detail. Proven track record of achieving desired results without direct report authority. Knowledge of Agile/Scrum methodology a plus This project is Timeseries revenue and inventory forecasting, market basket analysis.

Nice to meet you! We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. We’re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If you're looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, you'll find it here. About The Job The role is based in the Pune R&D Center, at SAS R&D Pune facility, SAS9 team. We are looking for an SDET to benchmark, test and validate SAS9 ACCESS engines for various databases like Oracle, Teradata, MSSQL, Postgres, MySQL, etc.The platforms supported would be Windows and various Unix platforms. Execution and designing automation of the functional test sets for the SAS9 ACCESS platform would also be a part of this role. You will be joining a friendly team with a broad range of experience, to develop and maintain SAS 9 Solutions Primary Responsibilities Validation and Testing of SAS Access engines of SAS9 Software on Windows and Unix platforms. Configuration of testing environment and support SAS9 testing for various database software. Demonstrate aptitude for problem solving and debugging of complex software systems. Automate the deployment process as applicable using internal tools, Jenkins, Python, Java/Shell scripts etc. Install and administer Postgres, Oracle, MySQL, SAS or related DBMS would be good to have. Design, implement, and maintain automated test frameworks, tools, and scripts that address specific needs. Design and implement test plans (cases, scenarios, usage). Create test strategies, test scenarios, and test ideas with clear intent. Understand complex usage concepts and assess applications’ ability to fulfill them. Identify risks, issues, potential defects, or defects in any phase of the project life cycle, managing them through closure. Requirement A minimum of 2-4 years of experience in all facets of software testing in a product-based software development environment At least 1.5 years of working experience with Windows and Unix operating systems. Knowledge of programming/Scripting language such as Java/Shell Script, Python etc. for automating deployment process as applicable. Install and administer any of Postgres, Hadoop, Oracle, MySQL, SAS or related DBMS. Independently execute test ware and debug the errors reported. The position requires strong ability to think and act like an end-user who would be using SAS software to store data in databases. Basic understanding of Cloud computing concepts and hypervisors. Must be familiar with all the phases of the Software Testing Life Cycle (STLC). Ability to make recommendations based on solid understanding of the problem resolution, troubleshooting development and environment and functional interaction. Mandatory Technical Skills A minimum of 2-4 years of experience in all facets of software testing in a product-based software development environment At least 1.5 years of working experience with Windows and Unix operating systems. Knowledge of programming/Scripting language such as Java/Shell Script, Python etc. for automating deployment process as applicable. Install and administer any of Postgres, Hadoop, Oracle, MySQL, SAS or related DBMS. Good logical problem-solving capability, quick and self-learner. Experience with Postgres, Oracle databases or other RDBMS and persistent stores. Must be familiar with all phases of the Software Testing Life Cycle (STLC). Experience working with Jira, agile methodology . Diverse and Inclusive At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here. #SAS

Statistics & Data Corporation (SDC), a specialized contract research organization (CRO) headquartered in Arizona, delivering top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies since 2005. SDC providing a technology enabled service offering to provide clients with both clinical services expertise, as well as the technology they need to be successful in their clinical trials. Job Summary Provide statistical programming support to clinical trials. Produce statistical analyses, including generating/validating analysis datasets, tables, listings, and figures for clinical trials. Create SDTM mapping and datasets. Develop and maintain the infrastructure for project files of SAS datasets and SAS code. Support Data Management in data set creations/transfers, integrity checks, and quality audits. Act as a liaison between clinical and subcommittees and project teams on an as-needed basis. Primary Responsibilities Perform or oversee team in performing all statistical programming required for clinical trial analysis and reporting on medium to large scale projects Apply appropriate statistical methods for data analysis and provide statistical programming expertise for project teams Review the Statistical Analysis Plan in preparation for programming the planned analyses Lead design/development of SAS macros and other utilities to expedite SAS programming activities Conduct internal training sessions and author papers for conferences Generate tables, listings, and figures per protocol, Statistical Analysis Plan, and/or approved client request Participate in statistical program validation and quality control activities Develop or review SDTM aCRF and specifications, ADaM specifications; complete programming and validation of CDISC SDTM and ADaM datasets Review pinnacle 21 reports and ensure compliance with CDISC and FDA guidelines Develop define.xml, study data reviewer's guide and analysis datasets reviewer's guide Identify study priorities and communicate effectively with project team and management Ensure quality, proper documentation and meet or exceed timely completion of the project within budgeted hours Manage statistical programming timelines, budgets, and client expectations Actively participate in study team meetings Interact with other departments, such as Clinical Operations, Project Management, and Data Management to ensure a high level of client satisfaction through successful execution of projects Participate in review process of study documents such as the CRF, edit check specifications, and database design specifications written by Data Management Program data cleaning checks, as necessary, to assist Data Management's data cleaning activities Participate in installation/validation of statistical software packages throughout the software development lifecycle Develop and maintain the infrastructure for project files of SAS datasets and SAS code Mentor junior level statistical programmers by developing training plans and providing oversight of their work Ensure all programming activities and processes performed are conducted according to SDC's standard procedures and/or sponsor requirements Adhere to all aspects of the SDC's quality system Comply with SDC's data integrity & business ethics requirements Perform other related duties incidental to the work described herein Adherence to all essential systems and processes that are required at SDC to maintain compliance to business and regulatory requirements The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This document is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified. Requirements Required Skills Strong analytical skills, with the ability to process scientific and medical data Very strong SAS programming skills required, with proficiency in SAS/Base, SAS/Stat and SAS Macros Basic understanding of SAS/Graph Strong problem-solving skills Able to work independently Excellent knowledge of statistical programming Proficient in manipulating and analyzing SAS data Ability to identify data issues, present problems, and implement solutions Capability of communicating technical concepts clearly, concisely, and understandably to non-statistical colleagues Good organizational and time management skills, with the ability to multi-task Familiarity with clinical trial design and analysis activities and basic knowledge of regulatory guidelines (FDA/CFR, ICH/GCP). Expert knowledge of CDISC SDTM and ADaM data models Strong interpersonal communication and presentation skills SAS Base, Advance, and Clinical Trials Certification is preferred Education Or Equivalent Experience Bachelor's degree in computer science, statistics or other related, scientific field and at least six years of relevant professional experience; or an equivalent combination of relevant education and/or experience. Benefits Why SDC SDC is a team of diversified professionals who deliver exceptional Biometric Services, Consulting, and Technology Solutions to pharmaceutical, biologic, and medical device/diagnostic companies. Since 2005 our purpose has been to partner with sponsors to provide high quality and experienced team members to develop great medicines that save lives and cure diseases in the most efficient manner possible. Our global team operates as a value partner to our clients by fulfilling their needs as our own and delivering exceptional results. We are a specialty CRO in that we provide scalable service offerings, focused services area specialists, efficient project timelines, optimal technology solutions, and proven success and experience. Our commitment to our clients is the same commitment to our employees. By offering strong benefits including competitive pay, generous time off, attainable career advances and positive work/life balance, we are able to attract some of the most talented people in the industry. We are committed to developing our employees. We recognize achievements, provide growth opportunities and career advancement, offer a flexible work schedule, engaging work culture and employee benefits We are passionate about our company culture. Our recognition program is directly tied to our core values of Energy, Integrity, Engagement, Innovation, Ownership, and Commitment We strive to provide a place of belonging to our employees with fun and engaging activities from SDC's culture club We are constantly growing and innovating to support our client and employee needs. Global in nature, we bring diverse perspectives enabling our growth in this ever-evolving industry With a proven track record, SDC has been successfully executing client clinical programs since 2005 Take a look at how you can join our team!

Company Description Risk Hub is a leading platform for professionals in the Risk Management industry. We offer comprehensive training for certification exams (FRM, SCR & RAI) and programming languages (Python, SAS & R). Our training programs cover essential industry skills in various risk verticals, including Credit Risk, Market Risk, Counterparty Credit Risk, and Liquidity Risk. Our curriculum includes models and frameworks such as VaR, ES, CECL, PD, LGD & EAD, CVA & PFE, ALM, IRRBB, ICAAP, and ILAAP. We are dedicated to equipping professionals with the necessary skills to excel in the risk management field. Role Description This is a full-time remote role for a Content Developer. The Content Developer will be responsible for creating and developing instructional content, designing instructional materials, performing technical writing, and contributing to the overall writing tasks. The individual will work closely with subject matter experts to ensure accuracy and relevance of the content. Qualifications Content Development and Instructional Design skills Technical Writing and Writing skills Strong Communication skills Proficiency in utilizing educational technology tools Ability to work independently and remotely Experience in the risk management industry is a plus Bachelor's degree in English, Instructional Design, Communications, or related field

Management Level: Ind & Func AI Decision Science Senior Manager Location: Gurgaon,Bangalore Must-have skills: Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, Time Series (ARMA/ARIMA), Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, PowerBI, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills: Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role offers opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Lead client engagements that may involve model development, validation, governance, risk strategy, transformation, implementation, and end-to-end delivery of risk management solutions for Accentures clients. Advise clients on a wide range of Credit, Market, and Operational Risk and Management/Analytics initiatives. Projects may involve Risk Management advisory work for CROs, CFOs, etc., to achieve a variety of business, operational, and regulatory outcomes. Be a trusted advisor to senior executives and management on their business needs and issues. Develop and frame a Proof of Concept for key clients, where applicable, including scoping, staffing, engagement setup, and execution. Practice Enablement Mentor, groom, and counsel analysts, consultants, and managers to be successful and effective Management Consultants. Support development of the Risk Analytics Practice by driving initiatives around staffing, quality management, recruitment, capability development, knowledge management, etc. Develop thought capital and disseminate information around current and emerging trends in Financial Risk Management. Contribute to development of Accenture Points-of-View on a variety of risk analytics topics. Publish research and present ideas at industry conferences and seminars. Opportunity Development Identify business development opportunities for our Risk Management offerings in the Banking and Capital Market domains. Develop compelling business case/response to new business opportunities. Work with deal teams to provide subject matter expertise on credit, market, and operational risk-related topics and participate in development of client proposals and RFP responses. Client Relationship Development Develop trusted relationships with internal and external clients and have an eye for qualifying potential opportunities and negotiating complex deals. Build strong relationships with global Accenture Analytics and Risk Management teams, and further develop existing relationships based on mutual benefit and synergies. Professional & Technical Skills: 11-15 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services/Risk Advisory with significant exposure to Credit Risk: Risk Ratings, Credit Risk Methodology, PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Market Risk: Stress Testing, Liquidity Risk, Counterparty Credit Risk, PPNR/Revenue/Loss Forecasting, Pricing. Operational Risk: Fraud Risk, Collections and Recovery, Credit Policy and Limit Management, Fraud Risk, Counterparty Credit Risk. Regulatory Knowledge: Basel II/III, Solvency, FRTB, CCAR, IFRS9/CECL, etc. Strong understanding of banking products across retail and wholesale asset classes, and expertise in frameworks and methodologies used in risk analytics for banking portfolios. Expertise in risk strategy design and supporting analytics for banking portfolios. Modeling Techniques: Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms. Programming Languages & Tools: SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA, Moodys Risk Calc, Bloomberg, Murex, QRM. Additional Information: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities. Industry Certifications:FRM, PRM, CFA preferred. Excellent Communication and Interpersonal Skills. Willingness to travel up to 40% of the time. Qualification Experience: Minimum 11-15 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Job Description Job Title: GN Retail – Manager Management Level: Level 7 Location: Mumbai / Bangalore / Pune / Hyderabad/ Gurgaon Must have skills: In-depth understanding of global retail operations Functional knowledge in at least two areas: merchandising, supply chain, store operations, forecasting, replenishment, or space planning Hands-on expertise with at least one data management tool (Alteryx / SQL / MS Access) Proven experience in retail data analysis projects Understanding of retail KPIs, functions, and business rules across various categories (grocery, fashion, home solutions) Good to have skills: Knowledge of R / Python / SAS / Power BI Familiarity with Retail MFP platforms (SAP, BY, Oracle, Relex, Symphony, Infor) Experience in preparing business scenarios, test cases, and use cases Experience: 10+ years of relevant experience in consulting, analytics, or the retail industry Proven success in managing strategic client relationships Educational Qualification: Bachelor's degree from a reputed institution (Engineering preferred) MBA from Tier 1 Job Summary: As a Manager in Retail Consulting, you will lead strategic transformation initiatives for global retailers across segments such as fashion, grocery, and general merchandise. You will be responsible for designing retail strategies, identifying key value and cost drivers, improving bottom-line performance, and delivering high-impact solutions. Your role includes conducting detailed business process analysis, developing operating models, driving implementation readiness, and guiding distributed teams through all phases of execution. You will define and lead change management plans, engage stakeholders, and manage business development efforts. Success in this role requires a strong understanding of global retail operations, functional expertise in merchandising, supply chain, or store operations, and hands-on experience in retail consulting or analytics. The ideal candidate possesses strong business acumen, an analytical mindset, experience with test cases/use cases, and excels in client communication. Cross-cultural competence and the ability to thrive in dynamic, fast-paced environments are essential to succeed in this leadership role. About Our Company | Accenture (do not remove the hyperlink) , Experience: 10+ years of relevant experience in consulting, analytics, or the retail industry Proven success in managing strategic client relationships Educational Qualification: Bachelor's degree from a reputed institution (Engineering preferred) MBA from Tier 1

Company description MBSK & Co. Chartered Accountants is a full service consulting firm based in NSP, Delhi with associate offices, Abu Dhabi, Dubai UAE and in London, UK. The firm specializes in providing assurance, consulting, tax services, secretarial services, business valuation and outsourcing services. With partners and managers who have extensice experience in working wiht large accounting and law firms, the firm is committed to delivering high-quality services to its clients. Location – BigJo's Tower, Netaji Subhash Place, Pitampura Requirements Required experienced Chartered Accountants for our audit and assurance service line for our NSP, Pitampura, Delhi Office. Chartered Accountants with relevant experience in an accounting or consulting firm may apply. Candidates currently working with accounting and consulting firms shall be preferred. Job responsibilities will include: Statutory audit under the Companies Act 2013 Tax Audit under the provisions of the Income Tax Act 1961 Internal Audits Limited reviews Due Diligences Concurrent reviews Bank audits Finalisation of financial statements. Supervising team of accountants and articled assistants Communicate with clients and their overseas counterparts wherever required Team handling, work delegation and team training skills Being a SPOC for the clients Good technical knowledge of ASs, SAs etc. needed for execution of assignments Co-ordination with the firm's cross service teams Ownership of clients including deliverables, relationship management, billing, recovery etc. Developing the skills and competencies of sub-ordinates through training and development activities related to current and future jobs. Candidates should have: · CA with relevant experience/Non-CA 7+ year of experience in team leader role. · Excellent knowledge of accounting software, ERP · In-depth knowledge of accounting standards, tax laws etc. · Basic knowledge of FEMA and Corporate laws. · Excellent team management and client handling experience · Strong analytical skills · Self-starter with strong work ethics · Strong communication, with good command on English language. · Excellent command on MS-Excel