19784 Statistics Jobs - Page 48

Role Overview We are looking for a motivated and analytical R&D Executive to support research and development efforts across various social initiatives and operational areas. The ideal candidate should have a strong background in research, data analysis, proposal development, and an understanding of the social sector. Key Responsibilities Conduct research and analysis on social development trends, impact models, and sector-specific innovations. Identify new areas of development and propose strategies for enhancing the organization’s programs. Support impact assessment, data collection, and report generation for ongoing projects. Collaborate with program teams to evaluate existing services and recommend improvements. Maintain and update a repository of research materials, case studies, and success stories. Track government schemes, CSR trends, and grant opportunities relevant to the organization's mission. Contribute to internal presentations, donor reports, and development communications. Desired Candidate Profile Bachelor’s or Master’s degree in Social Work, Public Policy, Development Studies, Statistics, or related field. 2 to 5 years of relevant experience in research, program development, or social sector analytics. Strong analytical, writing, and documentation skills. Proficient in MS Office, especially Excel, Word, and PowerPoint. Experience with surveys, data analysis tools, and impact measurement frameworks is a plus. Self-starter with the ability to manage multiple tasks and meet deadlines. Skills: research,data,data analysis,organization,social sector,assessment,case,analytics

Position- Data Science Manager Experience- 5-8 yr Location-Chennai Working Mode- Hybrid Skills - 5yr hand on experience in Data Science, AI, Gen AI Responsibilities : Implement the complete analytical section of the product based on the defined functional scope, including necessary documentation and prototypes. Extract, collate, and cleanse data from various entities. Identify suitable databases (SQL/NoSQL) for data storage and various technology stacks and libraries for data analysis and processing. Implement industry-standard statistical models with Machine Learning and Deep Learning algorithms, incorporating predictive and auto-learning capabilities. Identify meaningful insights and foresights from data and metadata sources based on the models. Interpret and communicate findings to the product manager to derive more business strategies. Visualize various dimensions of data for both web and mobile platforms. Showcase output through demos, prototypes, and working systems in regular review meetings. Continuously refine models for accuracy. Analyze, review, and track trends and tools in Data Sciences, Machine Learning, Artificial Intelligence, and Augmented Intelligence, and appropriately apply these learnings to the product. Interface the analytical system with transaction systems for both information reporting and to process actionable items derived through analytics. Ensure Quality, Security, Performance, Scalability, Reliability, and Availability are key factors in the implementation of the analytics system. Deploy and train various Large Language Models (LLMs) for AI agents and domain- specific applications. Implement Retrieval Augmented Generation (RAG) pipelines along with Vector databases to enhance the intelligence of LLMs and agent performance. Stay up-to-date with advancements in AI, including emerging LLM architectures and agentic AI frameworks and technologies. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field. 5-7 years of experience in data science, with a proven track record of leading and implementing data science projects. Strong expertise in statistical modeling, machine learning, and deep learning algorithms. Proficiency in programming languages such as Python or R. Experience with SQL/NoSQL databases and big data technologies. Familiarity with data visualization tools. Experience with LLMs, RAG pipelines, and vector databases is highly desirable. Excellent communication and interpersonal skills, with the ability to interpret and present complex data insights to non-technical stakeholders. Ability to work independently and collaboratively in a fast-paced environment. Experience in the banking domain is an added advantage.

Job Description Vice President, Model Risk Management Analyst I At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Vice President,Model Risk Management I to join our Model Risk Management team. This role is located in Chennai, Hybrid. In this role, you’ll make an impact in the following ways: Perform validation of AI/ML models (primary focus), including machine learning and artificial intelligence models and applications of Large Language Models: review model architecture, feature engineering, hyperparameter tuning, and performance metrics. Design and execute tests for conceptual soundness, robustness, bias, and real-time performance monitoring via shadow frameworks. Assess AI explainability, fairness, and governance controls. Provide ad-hoc review and validation of traditional quantitative models (econometric, statistical, pricing) as needed. Identify model-specific risks; propose, implement, and document controls to mitigate those risks. Collaborate with developers to challenge assumptions, refine methodologies, and enhance model lifecycles. Conduct independent research on emerging AI/ML techniques and translate insights into validation best practices. Prepare clear, concise validation reports and present findings to senior stakeholders. To be successful in this role, we’re seeking the following: Master’s degree or PhD in a quantitative discipline (Engineering, Mathematics, Physics, Statistics, Econometrics, Data Science). 1–2 years’ experience post-Master’s (PhD holders with relevant research may qualify). Strong theoretical foundation in ML/AI techniques (supervised, unsupervised, deep learning). Hands-on experience with ML/AI frameworks and libraries (TensorFlow, PyTorch, scikit-learn, XGBoost, etc.). Programming proficiency in Python or R (MATLAB or similar acceptable). Excellent communication and presentation skills; ability to explain complex concepts to non-technical stakeholders. Keen interest in financial engineering, market-product modelling, econometrics, data science, or AI. At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here’s a Few Of Our Recent Awards America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits And Rewards BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Job Description Vice President, Model Risk Management II At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Vice President, Model Risk Management II to join our Model Risk Management team. This role is located in Chennai, Hybrid. In this role, you’ll make an impact in the following ways: Perform validation of AI/ML models, including machine learning, artificial intelligence, and applications of Large Language Models by reviewing model architecture, feature engineering, hyperparameter tuning, and performance metrics. Design and execute tests for conceptual soundness, robustness, bias, and real-time performance monitoring via shadow frameworks. Assess AI explainability, fairness, and governance controls to ensure model integrity and compliance. Provide ad-hoc review and validation of traditional quantitative models (econometric, statistical, pricing) as needed. Identify model-specific risks and propose, implement, and document controls to mitigate those risks. Collaborate with developers to challenge assumptions, refine methodologies, and enhance model lifecycles. Conduct independent research on emerging AI/ML techniques and translate insights into validation best practices. Prepare clear, concise validation reports and present findings to senior stakeholders. To be successful in this role, we’re seeking the following: Master’s degree or PhD in a quantitative discipline such as Engineering, Mathematics, Physics, Statistics, Econometrics, or Data Science. 4–5 years’ experience post-Master’s degree (PhD holders with relevant research experience may qualify). Strong theoretical foundation in ML/AI techniques including supervised, unsupervised, and deep learning methods. Hands-on experience with ML/AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and XGBoost. Programming proficiency in Python or R (MATLAB or similar acceptable). Excellent communication and presentation skills with the ability to explain complex concepts to non-technical stakeholders. Keen interest in financial engineering, market-product modelling, econometrics, data science, or AI. Preferred qualifications include: Prior model-validation experience in ML/AI, Credit, Market, Treasury, or Pricing risk. Exposure to CCAR, CECL, or IFRS 9 regulatory frameworks. Proven track record applying advanced ML/AI methods such as NLP, computer vision, or reinforcement learning. Detail-oriented, results-driven, and highly productive in fast-paced teams. Previous experience in financial services and model governance. At BNY, our culture speaks for itself, check out the latest BNY news at: [BNY Newsroom] [BNY LinkedIn] Here’s a Few Of Our Recent Awards America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits And Rewards BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Job Title Manager - Property Job Description Summary Successful completion of scheduled activities as per SLA agreed with Client. Prompt and courteous response to Client requests. Management of budget, equipment and materials on behalf of Client/RWA/ Association. Job Description Major Responsibilities: Inspect and monitor the functions of building facilities including lifts, air conditioning, fire services, water supply, electricity supply and building work. Monitor the process of Report and follow up of request & complaints from occupants to management office. Report to CLIENT Management in the event of any major/minor breakdown immediately which would adversely impact CLIENT Management’s business operations Inspect and monitor the function of Township including HVAC, fan coil units, electrical, cable, Civil, plumbing, water supply, sewage, interior design work & lighting etc. To set and monitor process to liaise with contractor for any malfunctions detected. Ensure proper Follow up and completion on rectification works/pending requests and report to CLIENT Management as per SLA by PM team. To implement and monitor a process for liaison with supplier regarding any damage, loss found, malfunction of building supplies To ensure that proper follow up any requests/complaints from CLIENT employees is done by APM/ Shift Engineers/ Executives. To implement a process which ensures all equipment are in good working order. To check that APM / SE monitor the following:- Report and send service order to contractor for maintenance and repair. Evaluate the service level of the contractor. Advise CLIENT from time to time on performance of the equipment’s and help to take repair/purchase decisions To ensure that the process of proper cleaning is followed and monitored by APM / Executive. To ensure a clean, health & hygienic working environment. Responsible for Public Relations including liaison with all local statutory bodies. Liaison with telecommunication agencies. Payment of property tax. Ensure statutory compliance on ESIC/PF/Labor laws by all vendors. To liaise with contractors, collect quotations and prepare quotation analysis. To make recommendation for approval. Follow up on service level and report to the CLIENT Management. To keep and revise the existing contracts with different vendors. To liaise with vendors on contract renewal. To compare, Evaluate and recommend vendors. Monthly (or as required) Vendor Meetings to agree Monthly Supplier evaluation and plan for forthcoming month To formulate, implement and monitor the inventory control process and ensure supplies are at maintained at preapproved level. Control and get the inventory in/out record prepared by SE / Executive on weekly/daily basis. To decide, implement and monitor the Procurement process for consumables and goods in agreement with CLIENT policy and procedure. To monitor delivery from approved supplier and ensure they are follow the SLA. Annual Budgeting and Monthly Accounting Maintain an prepare and Implement systems and procedure Conduct Risk Assessments of all activities. Ensuring Accident Log is kept up to date reporting EH&S statistics and incidents in Monthly Report To Coordinate with CLIENT representatives to get the PPM schedules prepared by SE approved and implemented. Get the reports on engineering systems operation and maintenance from SE To ensure that the Engineering budget is properly made and followed by the engineering team. To ensure that C&W team is well trained and motivated at all the times. Leave planning/approval Coordinate with HR for hiring etc. Ensure attendance records are sent to C&W head office on time every month. Ensure submission of MMR before 7th of every month for the previous month. Ensure Daily/weekly reports are submitted to client on time Qualification Diploma / BE / B Tech. (Electrical/Electronics & Communication / Mechanical) or above OR Graduate (with Minimum 8 Yrs. Experience) with good communication skill & Administration and Technical knowledge Work Experience Minimum Experience – 8-10 Years Compensation :10,00,000 LPA Why join Cushman & Wakefield? As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from; Being part of a growing global company; Career development and a promote from within culture; An organisation committed to Diversity and Inclusion We're committed to providing work-life balance for our people in an inclusive, rewarding environment. We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program. We have a vision of the future, where people simply belong. That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, gender, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status. We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us. INCO: “Cushman & Wakefield”

Chief Engineer With thousands of hotels in over 100 countries and territories, Hilton offers countless opportunities to delight. From an open door to a welcoming smile and an exceptional experience, we offer the millions of travellers who stay with us every year a welcome they will never forget. In addition to our flagship brand, Hilton Hotels & Resorts, the family of brands includes Waldorf Astoria, LXR, Conrad, Canopy, Curio Collection, DoubleTree, Hilton Garden Inn, Hampton and many others. If you appreciate the impact global travel can have on the world, you may be just the person we are looking for to work as a Hilton Team Member. Because it’s with Hilton where we never forget the reason we're here: to delight our guests, Team Members, and owners alike. The Chief Engineer manages the maintenance and repair of the hotel buildings, grounds and contents in a cost-effective manner, ensuring the efficient and safe operation of all plant and equipment in line with Hilton and hotel policies and procedures. What will I be doing? As the Chief Engineer, you will be responsible for performing the following tasks to the highest standards: Plan and carry out a range of engineering, management and maintenance work. Assist the Director of Engineering (DOE) to run the Engineering department efficiently. Plan and implement duty rosters, carry out maintenance repairs and ensure a smooth transition of duty. Provide back-up management for the DOE in his / her absence. Be in charge of the Engineering store and energy saving team. Supervise the M&E system, equipment repair and maintenance. Schedule staff training, evaluate and improve employee performance. Be responsible for hotel property maintenance and safety. Carry out energy, environmental protection, fire prevention and safety management. Make sure that routine operations of the Engineering department runs smoothly. Carry out thorough building inspections to ensure high quality of repair and maintenance and that they meet set standards. Inspect all equipment and ensure efficient production and technology management of equipment maintenance. Read technical reports and check all daily reports to ensure safe and normal operations of all equipment. Arrange work intensity effectively to ensure maximum productivity and well-balanced labour. Implement maintenance repairs and ensure an effective maintenance program. Keep in contact with the Banquet department to be informed of event requirements to be prepared. Schedule periodical work reports to improve working efficiency of the Engineering department. Plan and implement multi-skills training for staff to improve work efficiency and quality. Carry out effective control on the purchase for Engineering stock to minimize wastage and maximize cost savings. Read water quality reports and ensure the supply of good quality water from the water treatment system. Coordinate with the Security department, hold fire prevention and safety meetings and ensure the effective operation of the fire prevention system. Monitor the energy usage, making statistics of energy consumption, and impose energy saving measures. Keep in contact with local authorities to solve related problems. Maintain efficient communications with other departments to form an effective communication net among different departments. Make good use of materials, minimize wastage and be environmentally friendly. What are we looking for? A Chief Engineer serving Hilton Brands is always working on behalf of our Guests and working with other Team Members. To successfully fill this role, you should maintain the attitude, behaviours, skills, and values that follow: Undergraduate. Proficient in English to meet business needs. At least 10 years of experience in hotel / building services or other appropriate engineering fields. At least 3 years in a Chief Engineer position or 5 years in an Assistant Chief Engineer position in a 5-star hotel. Have specialized knowledge on water treatment, hydraulics, mechanics, chillers, air flows, H.V.A.C., L.V., electronics, sound, TV, lighting, elevators, boilers, pumps, etc. Capable of maintenance for all hotel building services including air-conditioning, ventilation, refrigeration, electrical installation, lighting system, plumbing system, boiler, laundry, kitchen, lift, fire protection, escalator, sound system, TV system, etc. Possess knowledge of the requirements of government regulations and technical rules. Capable of following specifications for hotel services. Possess knowledge of energy conservation. Capable of training Engineering Team Members. What will it be like to work for Hilton? Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travellers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!

1. Co-ordinate and manage clinical audit projects. 2. Work to maintain complex audit processes and audit tools related to authorizations, quality, case management, inter rater reliability and data entry. 3. Audit staff in accordance with established auditing processes and assist in making recommendations for improvement to the In-charge 4. Work in conjunction with the in-charge to establish patterns or trends that require additional training or corrective action. 5. Communicate with different stakeholders such as doctors, nurses and others to provide feedback and recommendations for improvement. 6. Follow up on given recommendations for improvement and report to concerned entities. 7. Interpret findings to develop recommendations for changes to clinical practice. 8. Assist Unit’s Training team to incorporate compliance and audit findings into training programs. 9. Liaise with the different units and departments to receive relevant clinical, performance and operational information. 10. To evaluate documentation for deficiencies in the patient’s medical records and to prepare a comprehensive audit report. 11. To participate in educational programs such as seminars, workshops, and conferences related to medical record field. 12. To carryout technical analysis and evaluation of medical records in accordance with the hospital standards. 13. Maintain compiled statistics report for the audit (Doctor wise, Department wise, Area wise etc). 14. Maintain patient confidentiality all time. 15. Development and revision of policy and procedures in relation to audit processes 16. The post holder is required to undertake any other duties in line with the requirement of this post and as directed by management. 17. To cooperate with all Units and departments related to medical record services in order to obtain acceptable records for providing efficient services. 18. Comply with relevant rules, regulations, standards, policies and procedures. Job Types: Full-time, Permanent Pay: ₹18,000.00 - ₹22,000.00 per month Ability to commute/relocate: Ernakulam, Kerala: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) License/Certification: BHMS/BAMS (Required)

Job Title: Data Analyst & CRM Support(female candidates only) Location: Palarivattom (Hybrid) Company: 11X Company Experience: 0–1 Year Employment Type: Full-Time Gender Preference: Female candidates only (as part of team diversity goals) Job Summary 11X Company is looking for a proactive and detail-orientedData Analyst & CRM Support(female candidates only) to join our team in Kerala. This role involves analyzing customer data, maintaining CRM systems, and providing insights that drive strategic decisions. If you are passionate about data, eager to learn, and looking to start your career in analytics, this is a great opportunity. Key Responsibilities Analyze CRM data to identify customer behavior trends and campaign performance. Maintain, update, and monitor CRM databases and dashboards. Generate accurate reports and presentations for internal teams. Identify data patterns and provide actionable insights for business improvement. Collaborate with marketing, sales, and operations teams to enhance CRM effectiveness. Ensure data accuracy through validation and cleansing. Support ad-hoc data and reporting requirements across departments. Key Requirements Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field. 0–1 year of experience in data analysis, reporting, or CRM support. Familiarity with CRM platforms (Zoho, Salesforce, HubSpot, etc.). Proficiency in MS Excel & Google Sheets; basic knowledge of SQL and/or visualization tools (Power BI, Tableau). Strong analytical, problem-solving, and critical-thinking skills. High attention to detail with the ability to manage multiple tasks. Good communication skills and a collaborative mindset. Preferred Attributes Eagerness to learn and grow in a data-driven environment. Strong time management and organizational skills. Ability to work both independently and within cross-functional teams Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Experience: ms, excel: 1 year (Required) Customer support: 1 year (Required) Language: Malayalam (Required) Work Location: Remote

DESCRIPTION The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. We are looking for a Sr.Data Scientist to join our growing Science Team. As Data Scientist, you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with org's priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to think strategically about business, product, and technical challenges. You will also be expected to contribute to the science community by participating in science reviews and publishing in internal or external ML conferences. Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). Here is a glimpse of the problems that this team deals with on a regular basis: Using live package and truck signals to adjust truck capacities in real-time HOTW models for Last Mile Channel Allocation Using LLMs to automate analytical processes and insight generation Ops research to optimize middle mile truck routes Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings Deep Learning models to synthesize attributes of addresses Abuse detection models to reduce network losses Key job responsibilities 1. Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes 2. Design, develop, evaluate and deploy, innovative and highly scalable ML/OR models 3. Work closely with other science and engineering teams to drive real-time model implementations 4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions 5. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production 7. Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS 5+ years of data scientist experience Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience with statistical models e.g. multinomial logistic regression Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) Experience working with data engineers and business intelligence engineers collaboratively Demonstrated expertise in a wide range of ML techniques PREFERRED QUALIFICATIONS Experience as a leader and mentor on a data science team Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science Expertise in Reinforcement Learning and Gen AI is preferred Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

About the Role: Grade Level (for internal use): 12 The Team: The Quantitative Modeling Group is an elite, global team of highly skilled and versatile individuals (including PhDs, CFAs, FRMs, economists, statisticians, etc) who employ advanced machine-learning and statistical techniques to develop, maintain and enhance quantitative models used by analysts at Corporations, Governmental and Financial Institutions to automate, speed up and scale the quantitative assessment of credit, climate, third-party risk management, and Maritime and trade. The Impact: The Quantitative Modeling (QM) group develops all quantitative models that power the Global Insight’s desktop solutions, within one of the strategic businesses of S&P Global Market Intelligence. Our client base spans a diverse set of institutions, from Large Corporations to Small & Medium Enterprises, Banks, Auditing Firms, Governmental institutions and insurance companies. QM is currently supporting several high-profile strategic initiative funded at S&P Global level, from building the next generation of credit risk assessment, scenario analysis and early warning signals models, to climate risk modelling, to developing quantitative models to support maritime and trade analytics. The team also provides in-depth technical support to Sales Team and current clients, and is engaged in regular thought leadership/outreach activities (in coordination with Go-to-Market and Product Management) to incorporate external feedback into our models or to create new tools that enable clients to make decisions with conviction. What’s in it for you: Join a dynamic team of quantitative people who contribute to business expansion and acceleration, and leave your footprint from day one! Build the next generation of climate quantitative models within a flourishing field at the intersection between multiple risk domains. Generate powerful thought leadership pieces, to help showcasing analytical use of our models, increase brand awareness, support lead generation and collect valuable market feedback. Interact on a daily basis within a matrixed organization, including Product Managers, Product Specialists, Business Developers, Information Technologists, Innovators, adapting your language to a diverse audience, all the way up to C-level. Influence and steer the analytic development roadmap, bringing in your experience, creativity and diagonal thinking to craft innovative analytics that solve clear client painpoints. Interact with internal stakeholders and external clients, establishing yourself as a strong subject matter expert. Responsibilities: Design and end-to-end development of next-generation statistical models to assess climate risk, using advanced statistical and machine learning techniques Technical Documentation Thought Leadership based on model outputs, supporting client needs, and models’ use cases. Production of collateral material to support Product Management team and go-to-market activities (White papers, blogs, etc) Training to Product Specialists and Sales, to enable effective positioning of how our products differentiate vs our competitors Analytic support on technical questions by current clients and perspective clients, gaining market intelligence, incorporating feedback into models. What We’re Looking For: Basic Qualifications: 6 years relevant modelling experience (modelling climate risks and credit risk - PD, LGD of SMEs and Corporates, etc) Excellent knowledge of Python Good knowledge of Excel with VBA functions Experience handling BIG datasets (structured and unstructured) Top Master-level degree from reputable university in Financial Modelling, Finance, Economics, Statistics, Physics Excellent English command (both verbal and written) Additional Qualifications: CFA, FRM qualifications PhD (Physics, Statistics, Mathematics, Engineering, Economics) Matlab and R About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), ANLYTC202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 319055 Posted On: 2025-08-18 Location: Hyderabad, Telangana, India

Job Title: Post Graduate Teacher (PGT) – Economics Location: Attapur, Hyderabad Reporting To: Academic Coordinator / Principal Job Overview: We are seeking a dedicated and experienced PGT Economics Teacher to teach senior secondary classes (Grades XI & XII). The ideal candidate should have strong subject expertise, effective teaching skills, and the ability to engage students in economic concepts, critical thinking, and application-based learning. Key Responsibilities: Plan, prepare, and deliver engaging and well-structured lessons in Economics as per the CBSE/ICSE/CIE curriculum. Develop lesson plans, teaching materials, and assessment tools that cater to diverse learning needs. Teach topics such as microeconomics, macroeconomics, Indian economic development, statistics for economics, and contemporary economic issues . Foster analytical thinking, problem-solving, and research-oriented learning among students. Conduct regular assessments, provide constructive feedback, and maintain accurate student records. Mentor and guide students for board examinations, competitive exams, and higher education readiness. Incorporate innovative teaching methods, technology, and real-life case studies to enhance learning. Organize and support academic events, debates, seminars, and subject-related competitions. Collaborate with colleagues, coordinators, and parents for student progress and curriculum planning. Uphold discipline, school values, and a positive classroom environment. Qualifications & Requirements: Master’s Degree in Economics from a recognized university. B.Ed. or equivalent teaching qualification (mandatory as per CBSE norms). Proven teaching experience as a PGT Economics Teacher in reputed schools. Strong knowledge of curriculum (CBSE/ICSE/IB/CIE as applicable). Excellent communication, presentation, and classroom management skills. Proficiency in using digital teaching tools and e-learning platforms. Passion for teaching and mentoring students with patience and creativity. Key Skills: Subject expertise in Economics & related fields Analytical and research abilities Innovative teaching strategies Strong interpersonal and mentoring skills Time management and organizational abilities Job Type: Full-time Pay: ₹30,000.00 - ₹35,000.00 per month Work Location: In person

DESCRIPTION Amazon’s ROW (Rest of World) Supply Chain Analytics team is looking for talented Business Intelligence Engineers who develop solutions to better manage/optimize speed and operations planning while providing the best experience to our customers at the lowest possible price. Our team members have an opportunity to be at the forefront of supply chain thought leadership by working on some of the most difficult problems with some of the best research scientists, product/program managers, software developers and business leaders in the industry, shaping our roadmap to drive real impact on Amazon's long-term profitability. We are an agile team, building new analysis from ground up, proposing new concepts and technology to meet business needs, and enjoy and excel at diving into data to analyze root causes and implement long-term solutions. As a BIE within the group, you will analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, build models to predict and optimize and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, build analytical products and cause impact across wider teams in intuitive ways. This position provides opportunities to influence high visibility/high impact areas in the organization. They are right a lot, work very efficiently, and routinely deliver results on time. They have a global view of the analytical and/or science solutions that they build and consistently think in terms of automating, expanding, and scaling the results broadly. This position also requires you to work across a variety of teams, including transportation, operations, finance, delivery experience, people experience and platform (software) teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon’s strategic needs. We are looking for people with a flair for recognizing trends and patterns while correlating it to the business problem at hand. If you have an uncanny ability to decipher the exact policy/mechanism/solution to address the challenge and ability to influence folks using hard data (and some tact) then we are looking for you! Key job responsibilities Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations Collaborating with product and software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of analytical and machine learning models Mining and manipulating data from database tables, simulation results, and log files Identifying data needs and driving data quality improvement projects Understanding the broad range of Amazon’s data resources, which to use, how, and when Thought leadership on data mining and analysis Modeling complex/abstract problems and discovering insights and developing solutions/products using statistics, data mining, science/machine-learning and visualization techniques Helping to automate processes by developing deep-dive tools, metrics, and dashboards to communicate insights to the business teams Collaborating effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems and implement new solutions About the team ROW (Rest of World) Supply Chain analytics team is hiring multiple BIE roles in speed, planning, inbound and SNOP functions. The role will be responsible for generating insights, defining metrics to measure and monitor, building analytical products, automation and self-serve and overall driving business improvements. The role involves combination of data-analysis, visualization, statistics, scripting, a bit of machine learning and usage of AWS services. BASIC QUALIFICATIONS 5+ 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 with forecasting and statistical analysis Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS 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 Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION At Amazon.com, we strive to be Earth’s most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history. Key job responsibilities An ideal candidate for this role: Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format Will be passionate about finding root causes, trends, and patterns and how they impact business. Will draw inferences and conclusions, create dashboards and visualizations of processed data Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately . Will be very comfortable juggling competing priorities and handling ambiguity . Will thrive in an agile and fast-paced environment on highly visible projects and initiatives A day in the life As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement. About the team Our team strives to make Amazon the best way for Partners to reach customers locally and globally and to operate their businesses, driven by the accurate and efficient support and solutions we provide them. We are looking for a Business Analyst for its TSE (Trustworthy Shopping Experience) Operations Analytics team. The team is being grown to provide insights and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state. BASIC QUALIFICATIONS 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field PREFERRED QUALIFICATIONS Experience using very large datasets Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

JD for Operations Lead at Involve Learning Solutions Foundation A brief about us :) At Involve , we’re on a mission to bring students to the center of their own learning journeys. We believe that when students are trusted, supported, and given space to lead, they don’t just learn betterthey thrive. We started back in 2018 when our founders, Divanshu and Samyak, both fresh out of IIT Madras, chose to skip placements and instead build something that mattered. They envisioned classrooms where students weren’t just passive listeners, but active participantsteaching, mentoring, leading, and growing together. Today, that vision is alive and growing. We’ve worked with almost 1 million students across government schools in six Indian states. Our core program, Peer Teaching , trains senior students to mentor their juniors in foundational skills like reading and math. But it’s about more than academicsit’s about building confidence, communication, problem-solving, and agency. Because we believe agency is the key to breaking cycles of inequality and helping young people truly own their futures. Over the next 5 years we look forward to creating impact for 10 million children across the length and breadth of India! We work hand-in-hand with state and district governments in places like Uttar Pradesh, Bihar, and Karnataka. We’ve been lucky to be backed by incredible partners like the Agency Fund, Acumen, Central Square Foundation, and Wells Fargo. And along the way, we’ve been recognized by platforms like HundrED and Reimagine Education for doing things differentlyand effectively. But honestly, what keeps us going is our students. The girl who ran her first peer-led session with shaky hands and a steady voice. The boy who found his voice helping his classmates. The thousands of stories that remind us every day why this work matters. Who We're Looking For We’re building a team of people who caredeeply. People who have led projects or teams, who can collaborate across organizations, and who genuinely believe in students and their potential. We want folks who show up with curiosity, kindness, and a relentless drive to solve problems. If you value ownership, integrity, care, quality, and bold ideas , you’ll fit right in. This isn’t just a job. It’s a chance to be part of something biggerto build a movement that’s putting students back at the center of education. Overview of the Program: Maargadarshi : Involving students in the process of learning through peer-based interventions. The program includes facilitating peer-based spaces to provide a safe space for student voices in their learning process. This includes: Learning the concept of foundation math through peer teaching for students in lower primary grades with a CPA approach. (4th and 5th students teach their junior grades) Learning grade-specific math content in peer groups. The students explore different concepts through activities, making it easier to understand these topics in their regular classrooms. (Covering grades 6th,7th and 8th) Overview of the Role: The person will be responsible for managing the end-to-end implementation of our Maargadarshi Program in respective schools through managing full-time program Coordinators(community champions) to ensure successful program outcomes for all the students. This will include: 1. Implementation (65% of your Ops role) Create an action plan to implement the Maargadarshi program with Schools Coaching & coordination with coordinators for respective schools to ensure our program is implemented well Set up strong processes that enable smooth onboarding of school Periodic program reflection and course correction to improve the quality of the program Implementing new pilot projects individually, apart from the core program of peer teaching 2. Manage relationships (25% of your Ops role) Foster positive relationships with coordinators, teachers, school staff and other stakeholders to get buy-in on change efforts required at the school level Engaging external partnerships with organisations/people aimed at addressing pressing needs at the school site Engage corporate volunteers via activities for effective CSR management 3. Documenting and reporting (10% of your Ops role) Lead efforts to document and report progress & program gaps/challenges on a monthly basis Adapt tools or surveys to evaluate, collect data and document stakeholders (parents, teachers, students) responses to intervention Analyse feedback from students and teachers to continually improve the effectiveness of the program and implementation Creating monthly reports for funders and govt stakeholders Apply If you have: Experience: 1-2 years of experience in the education sector, Education: An undergraduate degree in any stream is a must; a master’s degree is a plus Skills: Should be a good planner and a go-getter; Should be able to manage on-ground operations; okay to commute long distances on certain days; be patient with the outcomes; getting things done by leveraging relationships; clarity in their thought process and great communication skills; Ability to manage and inspire people Should have a strong sense of data collection, data analysis, knowledge of statistics and be able to set structures for operational data Strong work Ethics: Punctuality, Sense of environment, self-driven; Interests: Passionate about education; enjoys mentoring and coaching people Why you should join us: High Impact work; Strong ownership for your work and No hierarchy! Mental Health: We offer a supportive space for our team members to prioritize mental health. Enjoy N number of sessions, and we've got it covered! Your mental well-being matters to us. Young and Amazing Team (IIT, NIT, Azim Premji University, Teach for India): Read here- IIT Grad Gives Up Rs 21 Lakh/Year Job, Starts Initiative That Could Revolutionise India’s Education We are fun. Like crazy fun! & we love memes! Ask anyone around :) We are crazy about Food, so you get brownie points for being a foodie! Location: Anekal, Bangalore (Should be fluent in Kannada , both verbal and reading) Compensation: INR 4 - 6 LPA CTC (Negotiable based on experience & fit) Please be advised that phone calls are solely reserved for inquiries. You are welcome to call with any queries, but please note that applications cannot be submitted via phone calls or by sharing CVs through WhatsApp or email. Kindly ensure that all applications are submitted exclusively through the provided form. Please contact Niyas, our HR Lead at 9847392021 for details about the role or any further queries. Excited? #GetInvolved

DESCRIPTION The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. We are looking for a Sr.Data Scientist to join our growing Science Team. As Data Scientist, you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with org's priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to think strategically about business, product, and technical challenges. You will also be expected to contribute to the science community by participating in science reviews and publishing in internal or external ML conferences. Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). Here is a glimpse of the problems that this team deals with on a regular basis: Using live package and truck signals to adjust truck capacities in real-time HOTW models for Last Mile Channel Allocation Using LLMs to automate analytical processes and insight generation Ops research to optimize middle mile truck routes Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings Deep Learning models to synthesize attributes of addresses Abuse detection models to reduce network losses Key job responsibilities 1. Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes 2. Design, develop, evaluate and deploy, innovative and highly scalable ML/OR models 3. Work closely with other science and engineering teams to drive real-time model implementations 4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions 5. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production 7. Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS 5+ years of data scientist experience Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience with statistical models e.g. multinomial logistic regression Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) Experience working with data engineers and business intelligence engineers collaboratively Demonstrated expertise in a wide range of ML techniques PREFERRED QUALIFICATIONS Experience as a leader and mentor on a data science team Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science Expertise in Reinforcement Learning and Gen AI is preferred Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Title Associate - US Agency Diligence Advisory Group Job Description Summary Support C&W US on various agency underwriting assignments Job Description About the Role: Review information provided by borrower to gain understanding of real estate asset underlying a financing request Evaluate and compile property level income statements, rent roll, reimbursements, occupancy statistics and other information in excel based models. Compile market research to determine and verify project’s economics and assumptions. Market research will include third party sources (such as REIS, RCA and others) as well as public information available on the internet. Review and evaluate third party reports including real estate appraisals, environmental reports, property condition reports, and zoning analysis etc. Review borrower level analysis to interpret derogatory issues, and their net worth, liquidity and investments. Review and prepare writeups to be included in the brief memo explaining various findings about the asset and borrower. Interpret lease documents to understand relevant details and prepare lease abstracts Work on collateral monitoring reports, and credit memos Team handling and training Lead Client communication/call About You: Engineering/MBA Graduate or similar qualification 5-6 years’ of work experience in US Commercial Real Estate domain Strong quantitative orientation with knowledge of Discounted Cash flow, IRR, NPV, return analysis. Experience in working on excel Excellent Verbal and Written Communication skills Self-Starter with an ability to manage tight timelines and diligent work division skills. Ability to understand deliverable requirements and manage independently. Experience in working on Argus Enterprise is a plus Why join Cushman & Wakefield? As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from; Being part of a growing global company; Career development and a promote from within culture; An organisation committed to Diversity and Inclusion We're committed to providing work-life balance for our people in an inclusive, rewarding environment. We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program. We have a vision of the future, where people simply belong. That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, sex, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status. We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us. INCO: “Cushman & Wakefield”

Job Overview: The Senior HSES Specialist uses best practices to solve complex HSES-related problems and uses discipline-specific knowledge to improve HSES Performance. They will act with a considerable degree of autonomy and have the ability to balance a field-based position and business administrative duties. They are comfortable working in a dynamic environment and will act as a resource for colleagues with less experience and share their conceptual and practical expertise related to the HSES discipline. Lutech Resources has over 25 years’ experience providing tailor made recruitment and integrated resource management to leading Engineering, Energy and Manufacturing sector companies worldwide. We set ourselves apart from others in the industry by building long term relationships with both our clients and candidates based on a mutual understanding of their targeted industry and a passion for excellence. With every engagement, our goal is to quickly place qualified talent with the best suited employer. We have a genuine understanding of candidates and clients’ needs. Along with a dynamic and effective service, we strive for positive outcomes for everyone, every time. Key Tasks and Responsibilities: Implement McDermott HSES Management System considering the particularities of the Company, Client and applicable legislative regulatory requirements Drive a common and consistent risk based HSES culture Develop and implement HSES plans, procedures, and instructions as required by Contract and in line with corporate and legislative requirements Facilitate and participate in risk assessments and ensure risk registries are maintained up to date Develop HSES Activity plan and ensure all HSES requirements, including inspections, audits, and emergency response, are listed and scheduled Monitor for effectiveness and assist in the implementation of Project HSES Management Plan Prepare, schedule, and conduct internal and external HSES audits Complete subcontractor/vendor HSES pre-qualification and bid evaluation process Manage subcontractor/vendor HSES Performance Work closely with the PMT and sub-contractors on the development of suitable hazard control interventions Review client HSES documentation as required (Policies, Procedures, etc.) and perform Gap Analysis to Project procedures when required Establish and manage tangible KPI’s relevant to the area of responsibility Monitor HSES statistics and identify trends Report trends promptly and prepare action plans to promote continual improvement Actively participate in safety programs and other initiatives Plan, lead, and participate in HSES meetings Follow-up closeout and maintain HSES actions Ensure HSES resources are adequately assigned Complete personal development program and ensure appropriate development program for mentees Lead and assist with incident investigations and prepare reports Engage and facilitate HSES client interface where necessary Report all injuries, near misses, property and environmental incidents promptly Contribute to the production of HSES information, training, education, and awareness material for the Project and business line Assist with the development and maintenance of Emergency Procedures Maintain a high standard of safe working practice, quality, and productivity, and ensure compliance with the code of business conduct Coordinate Project HSES activities Essential Qualifications and Education: Degree/Diploma (or equivalent combination of education and experience) in HSES related field 6 years of experience in the Energy Industry Advanced understanding of local and international HSES laws, codes, and regulations Trained and experienced ISO standards lead auditor (9001, 14001, or 45001) Ability to work as a team member as well as act as a team leader Maintain key competencies associated with the HSES function Statistical and data analysis ability Communication and presentation skills, both written and spoken Computer literate in Microsoft programs: Word, Access, PowerPoint, Excel, Project #LI-PS1

Job Title Analyst - US Agency Diligence Advisory Group Job Description Summary Support C&W US on various agency underwriting assignments Job Description About the Role: Review information provided by borrower to gain understanding of real estate asset underlying a financing request Evaluate and compile property level income statements, rent roll, reimbursements, occupancy statistics and other information in excel based models. Compile market research to determine and verify project’s economics and assumptions. Market research will include third party sources (such as REIS, RCA and others) as well as public information available on the internet. Review and evaluate third party reports including real estate appraisals, environmental reports, property condition reports, and zoning analysis etc. Review borrower level analysis to interpret derogatory issues, and their net worth, liquidity and investments. Prepare writeups to be included in the brief memo explaining various findings about the asset and borrower About You: Engineering/MBA Graduate or similar qualification 2+ years of work experience Strong quantitative orientation with knowledge of Discounted Cash flow, IRR, NPV, return analysis. Excellent Verbal and Written Communication skills Self-Starter with an ability to manage tight timelines Why join Cushman & Wakefield? As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from; Being part of a growing global company; Career development and a promote from within culture; An organization committed to Diversity and Inclusion We're committed to providing work-life balance for our people in an inclusive, rewarding environment. We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program. We have a vision of the future, where people simply belong. That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, sex, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status. We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us. INCO: “Cushman & Wakefield”

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Global Merchant & Network Services (GMNS), the merchant and bank partner network of American Express, acquires and maintains relationships with merchants and banks, who welcome American Express branded cards. We are dedicated to bringing buyers and sellers together and transforming how American Express is welcomed. GMNS Analytics aims to provide best in class analytics to support key GMNS priorities, support strategic initiatives, optimize investments, accelerate merchant and network activation enhancing the value Amex acceptance brings to merchants and Card Members at scale. How will you make an impact in this role? The role is responsible for strategy and analytics to deliver Business Insights for GMNS: Development, review and/or execution of strategic actionable insights & analytical solutions to drive profitable marketing or servicing actions. Solving complex business problems by ideation, development & ownership of next generation tech solutions and algorithms. Analyze data to derive business insights and create innovative marketing solutions. Innovate and enhance existing solutions using advanced analytics. Purpose of the Role Closely partner with Marketing, Product and Client Management organization to build innovative consultative offerings for high impact merchants across industries and deliver diverse strategic projects The incumbent is expected to ensure accurate and relevant representation of data to create a compelling story for the merchants with actionable insights enabling quick and informed decisions. This role requires a solid background in strategy analytics, technology, and exceptional problem-solving skills. Prior experience on Business Insights and strategy is a plus Job Responsibilities: Work in a dynamic, fast changing environment, with attention to detail, great communication skills and success driving results through multi-functional collaboration Analyzing data to create insights to advise strategy and tackle business problems Evaluate impact on business of different strategies/initiatives and generate insights and recommendations for further improvement Innovating and evolving processes to drive business results Expand usage of data-backed decisions/products/data science in strategies and identifying opportunities with potential to scale Partner with multiple stakeholders across business units and geographies to drive implementation of new insights and recommendations Critical Factors to Success: Solid ability to get results, self-starter. Good interpersonal, written, and verbal communication skills Ability to influence external partners, colleagues and senior leaders with clear thinking, robust analysis, and strong business intuition. Business Outcome Create solutions focusing on strategic priorities and driving business Effective use of personalization capabilities to optimize business objectives through bespoke business insights Evaluate new advanced analytics techniques to build on existing solutions Leadership Outcomes: Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings Demonstrate learning agility, make decisions quickly and with the highest level of integrity Minimum Qualifications: 0-2 years of relevant experience in analytical domain Ability to derive insights from data, manage multiple projects and drive results in a fast-paced environment Strong collaborator with an ability to build relationships and challenge the status quo Excellent business writing and presentation skills with the ability to communicate effectively with all levels of managements and influence strategy Intellectual curiosity and ability to learn quickly Demonstrate attention to detail and ability to drive results Technical Skills: Familiarity with SAS/ SQL, R, Python, Hive, PySpark and Tableau. Bachelors in Statistics/Mathematics/Economics/ Engineering with relevant experience Preferred: Post Graduation in Statistics/Mathematics/ Economics/Engineering/Management Experience in the merchant business is preferred We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

DESCRIPTION Want to join the Earth’s most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations – Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Demand Planning team. In this position you will be responsible for supporting our sites to build complex resource management processes for the rapidly expanding GO-AI business. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. The GO-AI Demand planning team is looking for a curious, resourceful, and experienced Demand Planners to join our team of Program Managers and analysts. Our mission is to ensure our customers have the right support at the right time to confidently and effectively grow their business through Amazon. Key job responsibilities Key responsibilities include: 1. Work closely with various stakeholders, including customer, operations and analytics teams to understand the demand patterns for short-term and long-term horizons across GO-AI programs. 2. Develop capacity planning models at multiple levels of aggregation for varied time horizons (short/med/long term) basis various programs demand forecast. Coordinate cross-functional research initiatives to reconcile significant variances, refine the forecast model to reflect updated assumptions and reduce forecast model variance. 3. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. using automation tools to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. 4. Promote process improvement and standardization across all sites in the network. Identify, develop, manage, and execute analyses to uncover areas of opportunity, present written business recommendations and drive solutions that will help shape the direction of the business. 5. Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/MicroStrategy/PowerBI) and statistical modeling to deliver actionable insights to stakeholder About the team The Global Operations – Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. BASIC QUALIFICATIONS 3+ years of program or project management experience Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.) Knowledge of SQL PREFERRED QUALIFICATIONS Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field Professional experience of 3 years and above in Data analytics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

We are hiring a Senior Executive - Statistics & Research to support data management, research, and report preparation in New Delhi. This role requires expertise in data analysis, report generation, and ensuring data accuracy to support strategic decision-making. Key Responsibilities: - Maintain and update statistics, including annual working results for mills and distilleries. - Assist in creating detailed reports with insights on performance metrics and forecasts. - Coordination with sugar mills / distilleries for data collection, focusing on key industry statistics. - Track and analyse global and domestic sugar production trends and prices. - Collection of data for ISMA’s annual statistics handbook. - Agri data research and analysis - Prepare impactful PowerPoint presentations for industry topics as requested. - Prepare and circulate weekly reports like domestic sugar review, global sugar review, etc. to members. - Collaborate with internal teams and external stakeholders, providing insights and support. - Assist with administrative tasks like scheduling and correspondence. - Draft and maintain records of circulars on industry regulations and policies. - Ensure timely communication with ISMA members. - Ensure data accuracy, maintain organized records and best practices in data management. - Assist with additional tasks assigned by the HoD and Director General. Requirements: - Proficiency in Microsoft Office tools (Excel, PowerPoint, Word, Outlook) with an advanced understanding of data analysis and presentation design. - Strong analytical skills, capable of handling large datasets and identifying key trends and insights. - Exceptional attention to detail in data entry, report preparation, and presentation. - Excellent organizational skills and the ability to manage multiple projects efficiently and meet deadlines. - Ability to work independently as well as collaborate effectively in a team environment. - Strong written and verbal communication skills, with the ability to convey complex data and ideas in a clear and concise manner. Job Types: Full-time, Permanent

Dear Candidate, We are hiring English tutors to join our online project. As an online English tutor, you will play an important role in providing constructive feedback on different submissions. If you have a strong background in English, and technology sound with proficient typing skills, we would like to have you on our team. Please find below the job description: - Evaluate the English papers (Grading only). Strictly Hand Grading only, No AI Generated Feedback to be used. Essential Competencies: - 1. Master's degree in English, Linguistics, Education, or a related field 2. Excellent written and verbal communication skills 3. Strong content knowledge in English language and writing 4. Proven teaching experience both online and offline is a plus Compensation: Rs. 390/- Per hour Working Hours: - Minimum 6 Hours in a day Working Days:- 5 working Days Working Time: - 9:00 PM- 12:00 PM (Can choose b/w this time slot) About Trivium We take this opportunity to introduce our organization Trivium Education Services Private Ltd (part of The Manya Group, Indian Partner of The Princeton Review). Trivium Education Services is an education outsourcing company. Our Services Include Online Tutoring, Online Assessments, Online grading and Content development for the US Market We work exclusively in the K-12 segment in the US and Indian education market. Our clients include leading publishing companies like McGraw Hill-CTB, Discovery education, Pearson, Scantron, Words and Numbers, BenchPrep, Virtual Nerd, Educomp, and many more. We provide on-line tutors to one of the world's largest Online Tutoring services in subjects like Math, Statistics, Physics, Chemistry etc." With around 150 employees working across various verticals, we provide a scalable model and unparallel quality to our clients. For details, we would welcome you to visit our website www.triviumedu.com Shubhangi Pandita| HR Executive | www.triviumedu.com Assessments | Tutoring | Editorial Services | Scoring Job Types: Part-time, Freelance Pay: ₹390.00 per hour Expected hours: 30 per week Benefits: Work from home

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Vice President, Model Risk Management II At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Vice President, Model Risk Management II to join our Model Risk Management team. This role is located in Chennai, Hybrid. In this role, you’ll make an impact in the following ways: Perform validation of AI/ML models, including machine learning, artificial intelligence, and applications of Large Language Models by reviewing model architecture, feature engineering, hyperparameter tuning, and performance metrics. Design and execute tests for conceptual soundness, robustness, bias, and real-time performance monitoring via shadow frameworks. Assess AI explainability, fairness, and governance controls to ensure model integrity and compliance. Provide ad-hoc review and validation of traditional quantitative models (econometric, statistical, pricing) as needed. Identify model-specific risks and propose, implement, and document controls to mitigate those risks. Collaborate with developers to challenge assumptions, refine methodologies, and enhance model lifecycles. Conduct independent research on emerging AI/ML techniques and translate insights into validation best practices. Prepare clear, concise validation reports and present findings to senior stakeholders. To be successful in this role, we’re seeking the following: Master’s degree or PhD in a quantitative discipline such as Engineering, Mathematics, Physics, Statistics, Econometrics, or Data Science. 4–5 years’ experience post-Master’s degree (PhD holders with relevant research experience may qualify). Strong theoretical foundation in ML/AI techniques including supervised, unsupervised, and deep learning methods. Hands-on experience with ML/AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and XGBoost. Programming proficiency in Python or R (MATLAB or similar acceptable). Excellent communication and presentation skills with the ability to explain complex concepts to non-technical stakeholders. Keen interest in financial engineering, market-product modelling, econometrics, data science, or AI. Preferred qualifications include: Prior model-validation experience in ML/AI, Credit, Market, Treasury, or Pricing risk. Exposure to CCAR, CECL, or IFRS 9 regulatory frameworks. Proven track record applying advanced ML/AI methods such as NLP, computer vision, or reinforcement learning. Detail-oriented, results-driven, and highly productive in fast-paced teams. Previous experience in financial services and model governance. At BNY, our culture speaks for itself, check out the latest BNY news at: [BNY Newsroom] [BNY LinkedIn] Here’s a few of our recent awards: America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Vice President, Model Risk Management Analyst I At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Vice President, Model Risk Management I to join our Model Risk Management team. This role is located in Chennai, Hybrid. In this role, you’ll make an impact in the following ways: Perform validation of AI/ML models (primary focus), including machine learning and artificial intelligence models and applications of Large Language Models: review model architecture, feature engineering, hyperparameter tuning, and performance metrics. Design and execute tests for conceptual soundness, robustness, bias, and real-time performance monitoring via shadow frameworks. Assess AI explainability, fairness, and governance controls. Provide ad-hoc review and validation of traditional quantitative models (econometric, statistical, pricing) as needed. Identify model-specific risks; propose, implement, and document controls to mitigate those risks. Collaborate with developers to challenge assumptions, refine methodologies, and enhance model lifecycles. Conduct independent research on emerging AI/ML techniques and translate insights into validation best practices. Prepare clear, concise validation reports and present findings to senior stakeholders. To be successful in this role, we’re seeking the following: Master’s degree or PhD in a quantitative discipline (Engineering, Mathematics, Physics, Statistics, Econometrics, Data Science). 1–2 years’ experience post-Master’s (PhD holders with relevant research may qualify). Strong theoretical foundation in ML/AI techniques (supervised, unsupervised, deep learning). Hands-on experience with ML/AI frameworks and libraries (TensorFlow, PyTorch, scikit-learn, XGBoost, etc.). Programming proficiency in Python or R (MATLAB or similar acceptable). Excellent communication and presentation skills; ability to explain complex concepts to non-technical stakeholders. Keen interest in financial engineering, market-product modelling, econometrics, data science, or AI. At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here’s a few of our recent awards: America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.