9209 Statistics Jobs - Page 50

Job Description About Goldman Sachs At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. For us, it’s all about bringing together people who are curious, collaborative and have the drive to make things possible for our clients and communities. Asset Management About Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm’s primary investment area, we provide investment and advisory services for some of the world’s leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $2 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. We are: Investors, spanning traditional and alternative markets offering products and services Advisors, understanding our clients’ priorities and poised to help provide investment advice and strategies that make sense for their portfolios Thought Leaders, providing timely insights across macro and secular themes to help inform our clients’ investment decisions Innovators, using our suite of digital solutions to help our clients address complex challenges and meet their financial goals Role Description AWM Private Credit is currently seeking Analysts to specialize in asset management across our large, diverse and dynamic portfolio. Team members will play an integral role in ongoing portfolio company monitoring, which is a critical element of the investing process, as well as portfolio management. Team members will be aligned by Private Credit strategy. Responsibilities This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level. The role shall be performed within a professional office environment. Goldman Sachs has health and safety polices that are available for all workers upon request. There are no specific health risks associate with the role. Produce and present periodic portfolio company monitoring, including but not limited to company performance, comparison of actual results to company projections and the GS Private Credit underwriting case, ESG metrics and key company developments, particularly those with implications for investment performance Maintain portfolio company models as part of the asset management process Track company compliance with financial covenants Participate in portfolio company meetings with management teams and reflect key insights in updates to investment outlook Prepare and maintain portfolio analytics for portfolio management purposes Participate in strategic projects regarding portfolio management, portfolio monitoring and performance tracking. Prepare and maintain investment and fund level statistics used for internal tracking, investor reporting as well as marketing materials Liaise across internal business teams and external counterparties to service investment level requests Qualifications Strong academic background with an MBA or Chartered Accountant or equivalent Minimum of 1-3 years of relevant experience Accounting knowledge, valuation and financial modeling aptitude (required) Solid analytical / logical mindset and attention to detail Strong written and verbal communication skills Strong project planning, organization, and time management skills Ability to work under pressure and meet deadlines. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Show more Show less

Description As a Finance Operations Business Partner, the candidate will work with customer-centric, entrepreneurial and cross-functional teams to drive financial results, scalable Accounts Payable, Accounts Receivable processes and continuous improvement initiatives. The candidate demonstrates Ownership, long-term thinking and holds self, stakeholders and partner teams to high standards of accountability to prevent process defects. The candidate communicates to influence without authority, and drives quality results to simplify lives for internal and external customers. The primary audience for this role is Executive / Senior leaders in Business Operations, Finance, Transportation Execution, Technology and other groups such as Legal, Accounting and Tax. Key job responsibilities The role requires speed of execution, calculated risk-taking, willingness to experiment, ability to perform quality root-cause analysis, resolve blockers for new launches and improvement programs. Influence senior stakeholders to align on goals which may be outside of their immediate scope, but necessary for operational efficiency, vendor/customer experience and accurate Financial Reporting. The role will require collaborative problem solving skills, manage multiple, parallel high visibility priorities, and has the ability to dive-deep and stay connected to details regularly. Formulate customer-centric goals by working backwards from customers and not be limited by current process capability. Define programs to crystallize goals into incremental progressive actions, schedule and achieve implementation milestones, develop processes, and relevant process documentation. Own financial reporting for related business area; understand input drivers and validate integrity of the reporting. When stakeholders are faced with difficult business problems, the candidate fosters constructive dialogues, harmonizes conflicting views, and Earns Trust of stakeholders. Communicate new programs, updates, changes to policies, and processes to leaders, employees, and cross functional organizations and prevent adverse surprises due to delayed or missed communication. Alignment with stakeholders, partner teams and internal customers in regards to change management is essential for the role. Basic Qualifications 8+ years of tax, finance or a related analytical field experience 8+ years of multiple finance and accounting roles experience 6+ years of Accounts Receivable or Account Payable experience 6+ years of applying key financial performance indicators (KPIs) to analyses experience 6+ years of building financial and operational reports/data sets that inform business decision-making experience 6+ years of creating process improvements with automation and analysis experience 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience Bachelor's degree in engineering, statistics or business, or Bachelor's degree Preferred Qualifications 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience MBA, or CPA Knowledge of SQL/ETL 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. Company - ADCI - Karnataka Job ID: A3005676 Show more Show less

Job Description About Goldman Sachs At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. For us, it’s all about bringing together people who are curious, collaborative and have the drive to make things possible for our clients and communities. Asset Management About Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm’s primary investment area, we provide investment and advisory services for some of the world’s leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $2 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. We are: Investors, spanning traditional and alternative markets offering products and services Advisors, understanding our clients’ priorities and poised to help provide investment advice and strategies that make sense for their portfolios Thought Leaders, providing timely insights across macro and secular themes to help inform our clients’ investment decisions Innovators, using our suite of digital solutions to help our clients address complex challenges and meet their financial goals Role Description AWM Private Credit is currently seeking Analysts to specialize in asset management across our large, diverse and dynamic portfolio. Team members will play an integral role in ongoing portfolio company monitoring, which is a critical element of the investing process, as well as portfolio management. Team members will be aligned by Private Credit strategy. Responsibilities This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level. The role shall be performed within a professional office environment. Goldman Sachs has health and safety polices that are available for all workers upon request. There are no specific health risks associate with the role. Produce and present periodic portfolio company monitoring, including but not limited to company performance, comparison of actual results to company projections and the GS Private Credit underwriting case, ESG metrics and key company developments, particularly those with implications for investment performance Maintain portfolio company models as part of the asset management process Track company compliance with financial covenants Participate in portfolio company meetings with management teams and reflect key insights in updates to investment outlook Prepare and maintain portfolio analytics for portfolio management purposes Participate in strategic projects regarding portfolio management, portfolio monitoring and performance tracking. Prepare and maintain investment and fund level statistics used for internal tracking, investor reporting as well as marketing materials Liaise across internal business teams and external counterparties to service investment level requests Qualifications Strong academic background with an MBA or Chartered Accountant or equivalent Minimum of 1-3 years of relevant experience Accounting knowledge, valuation and financial modeling aptitude (required) Solid analytical / logical mindset and attention to detail Strong written and verbal communication skills Strong project planning, organization, and time management skills Ability to work under pressure and meet deadlines. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Show more Show less

About PwC: PricewaterhouseCoopers (PwC) is a leading global consulting firm. For more than 160 years, PwC has worked to build trust in society and solve important problems for clients and the communities in which we live and work. Today we have more than 276,000 people across 157 countries working towards this goal. The US Advisory Bangalore Acceleration Center is a natural extension of our United States based consulting capabilities, providing support to a broad range of practice teams. Our US-owned ACs are fully integrated into our client facing teams and are key to PwC's success in the marketplace. Job Summary: At PwC, we are betting big on data, analytics, and a digital revolution to transform the way deals are done. Analytics is increasingly a major driver of competitive advantages in deal-making, and value creation for private equity owned portfolio companies. PwC brings data-driven insights through advanced techniques to help clients make better strategic decisions, uncover value, and improve returns on their investments. The PwC Deal Analytics & Value Creation practice is a blend of deals and consulting professionals with diverse skills and backgrounds, including financial, commercial, operational, and data science. We support private equity and corporate clients across all phases of the deal lifecycle, including diligence, post-deal, and preparation for exit/divestiture. Our data-driven approach delivers insights in diligence at deal speed, works with clients to improve performance post-deal, and brings a commercial insights lens through third-party and alternative data to help inform decisions. A career in our fast-paced Deal Analytics & Value Creation practice, a business unit within the PwC deals platform, will allow you to work with top private equity and corporate clients across all sectors on complex and dynamic multi-billion-dollar decisions. Each client, deal, and situation is unique, and the ability to translate data into actionable insights for our clients is crucial to our continued success. Job Description As a Senior Associate, you'll work as part of a team of problem solvers, helping solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, and personal strengths, and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Drive day-to-day deliverables in the team by helping in work planning and review your work and that of others for quality, accuracy, and relevance. Contribute to practice enablement and business development activities Learning new tools and technologies if required. Develop/Implement automation solutions and capabilities that are aligned to client's business requirements Know-how and when to use tools available for a given situation and can explain the reasons for this choice. Use straightforward communication, in a structured way, when influencing and connecting with others. Uphold the firm's code of ethics and business conduct. Preferred Fields Of Study/Experience Dual degree/Master's degree from reputed institutes in Data Science, Data Analytics, Finance, Accounting, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Mathematics A total of 4-7 years of work experience in analytics consulting and/or transaction services with top consulting organizations Experience across the entire Deals Cycle (diligence, post-deal value creation, and exit preparation) Preferred Knowledge/Skills Our team is a blend of deals and consulting professionals with an ability to work with data and teams across our practice to bring targeted commercial and operational insights through industry-specific experience and cutting-edge techniques. We are looking for individuals who demonstrate knowledge and a proven record of success in one or both of the following areas: Business Experience in effectively facilitating day to day stakeholder interactions and relationships based in the US Experience working on high-performing teams preferably in data analytics, consulting, and /or private equity Strong Analytics Consulting experience with demonstrated ability to translate complex data into actionable insights Experience working with business frameworks to analyze markets and assess company position and performance Experience working with alternative data and market data sets to draw insight on competitive positioning and company performance Understanding of financial statements, business cycles (revenue, supply chain, etc.), business diligence, financial modeling, valuation, etc. Experience working in a dynamic, collaborative environment and working under time-sensitive client deadlines Provide insights by understanding the clients' businesses, their industry, and value drivers Strong communication and proven presentation skills Technical High degree of collaboration, ingenuity, and innovation to apply tools and techniques to address client questions Ability to synthesize insights and recommendations into a tight and cohesive presentation to clients Proven track record of data extraction/transformation, analytics, and visualization approaches and a high degree of data fluency Proven skills in the following preferred: Alteryx, Pyspark, Python, Advanced Excel, PowerBI (including visualization and DAX), MS Office Experience working on GenAI / Large language models (LLMs) is a good to have Experience in big data and machine learning concepts Strong track record with leveraging data and business intelligence software to turn data into insights Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Anheuser-Busch InBev (AB InBev)’s Supply Analytics is responsible for building competitive differentiated solutions that enhance brewery efficiency through data-driven insights. We optimize processes, reduce waste, and improve productivity by leveraging advanced analytics and AI-driven solutions. As a Data Scientist you will work at the intersection of Conceptualize the analytical solution for the business problem by implementing statistical models and programming techniques. Application of machine learning solutions. Best in class cloud technology & micro-services architecture. Use DevOps best practices that include model serving, data & code versioning. Key tasks & accountabilities Develop and fine-tune Gen AI models to solve business problems, leveraging LLMs, and other advanced AI techniques. Design, implement, and optimize AI-driven solutions that enhance automation, efficiency, and decision-making. Work with cloud-based architectures to deploy and scale AI models efficiently using best-in-class microservices. Apply DevOps and MLOps best practices for model serving, data and code versioning, and continuous integration/deployment. Collaborate with cross-functional teams (engineering, business, and product teams) to translate business needs into AI-driven solutions. Ensure model interpretability, reliability, and performance, continuously improving accuracy and reducing biases. Develop internal tools and utilities to enhance the productivity of the team and streamline workflows. Maintain best coding practices, including proper documentation, testing, logging, and performance monitoring. Stay up to date with the latest advancements in Gen AI, LLMs, and deep learning to incorporate innovative approaches into projects. Qualifications, Experience, Skills Level Of Educational Attainment Required Academic degree in, but not limited to, Bachelors or master's in computer application, Computer science, or any engineering discipline. Previous Work Experience Minimum 3 years of relevant experience. Technical Skills Required Programming Languages: Proficiency in Python. Mathematics and Statistics: Strong understanding of linear algebra, calculus, probability, and statistics. Machine Learning Algorithms: Knowledge of supervised, unsupervised, and reinforcement learning techniques. Natural Language Processing (NLP): Understanding of techniques such as tokenization, POS tagging, named entity recognition, and machine translation. LLMs: Experience with Langchain, inferring from LLMs and fine tuning LLMs for specific tasks, Prompt Engineering. Data Preprocessing: Skills in data cleaning, normalization, augmentation, and handling imbalanced datasets. Database Management: Experience with SQL and NoSQL databases like MongoDB and Redis. Cloud Platforms: Familiarity with Azure and Google Cloud Platform. DevOps: Knowledge of CI/CD pipelines, Docker, Kubernetes. Other Skills Required APIs: Experience with FastAPI or Flask. Software Development: Understanding of software development lifecycle (SDLC) and Agile methodologies. And above all of this, an undying love for beer! We dream big to create future with more cheers. Show more Show less

Relocation Assistance Offered Within Country Job Number #163961 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. About Colgate-Palmolive Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be! Our diligent household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile...every single day. The Experience In today’s dynamic analytical / technological environment, it is an exciting time to be a part of the GLOBAL ANALYTICS team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive in this constantly evolving landscape. What role will you play as a member of Colgate's Analytics team? The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on cases which have big $ impact and scope for scalability. With clear focus on addressing the business questions, with recommended actions The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. Conceptualizes and builds predictive modelling, simulations, and optimization solutions for clear $ objectives and measured value The Data Scientist would work on a range of projects ranging across Revenue Growth Management, Market Effectiveness, Forecasting etc. Data Scientist needs to handle relationships independently with Business and to drive projects such as Price Promotion, Marketing Mix and Forecasting Who are you…? You are a function expert - Leads GLOBAL DATA SCIENCE & ADVANCED ANALYTICS within the Analytics Continuum Conceptualizes and builds predictive modelling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Own Pricing and Promotion, Marketing Mix, Forecasting study from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy) using large datasets Ready to work closely with business partners across geographies You connect the dots - Merge multiple data sources and build Statistical Models / Machine Learning models in Price and Promo Elasticity Modelling, Marketing Mix Modelling to derive actionable business insights and recommendation Assemble large, sophisticated data sets that meet functional / non-functional business requirements Build data and visualization tools for Business analytics to assist them in decision making You are a collaborator - Work closely with Division Analytics team leads Work with data and analytics specialists across functions to drive data solutions You are an innovator - Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Qualifications What you’ll need BE/BTECH [ Computer Science, Information Technology is preferred], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building data models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR Good Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build, Cloud Run. Knowledge of using GitHub, Airflow for coding and model executions and model deployment on cloud platforms Solid understanding on tools like Looker, Domo, Power BI and web apps framework using plotly, pydash, sql Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment What You’ll Need…(Preferred) Handling, redefining, and developing statistical models for RGM/Pricing and/or Marketing Effectiveness Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer-packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience visualizing/communicating data for partners using: Tableau, DOMO, pydash, plotly, d3.js, ggplot2, pydash, R Shiny etc Willingness and ability to experiment with new tools and techniques Ability to maintain personal composure and thoughtfully handle difficult situations. Knowledge of Google products (Big Query, data studio, colab, Google Slides, Google Sheets etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Ability to work with cross functional teams in IT, Data Architecture to build enterprise level Data Science products. Our Commitment to Diversity, Equity & Inclusion Achieving our purpose starts with our people — ensuring our workforce represents the people and communities we serve —and creating an environment where our people feel they belong; where we can be our authentic selves, feel treated with respect and have the support of leadership to impact the business in a meaningful way. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Challenge: Search, Discovery, and Content AI (SDC) is a cornerstone of Adobe’s ecosystem, enabling creative professionals and everyday users to access, discover, and demonstrate a wide array of digital assets and creative content, including images, videos, documents, vector graphics and more. With increasing demand for intuitive search, contextual discovery, and seamless content interactions across Adobe products like Express, Lightroom, and Adobe Stock, SDC is evolving into a generative AI powerhouse. This team develops innovative solutions for intent understanding, personalized recommendations, and action orchestration to transform how users interact with content. Working with extensive datasets and pioneering technologies, you will help redefine the discovery experience and drive user success. If working at the intersection of machine learning, generative AI, and real-time systems excites you, we’d love to have you join us. Responsibilities: As a Machine Learning Engineer on the SDC team, you will develop and optimize machine learning models and algorithms for search, recommendation, and content understanding across diverse content types. You will build and deploy scalable generative AI solutions to enable intelligent content discovery and contextual recommendations within Adobe products. Collaborating with multi-functional teams, you will integrate ML models into production systems, ensuring high performance, reliability, and user impact. Your role will involve researching, designing, and implementing pioneering techniques in natural language understanding, computer vision, and multimodal learning for content and asset discovery. You will also contribute to the end-to-end ML pipeline, including data preprocessing, model training, evaluation, deployment, and monitoring, while pushing the boundaries of computational efficiency to meet the needs of real-time, large-scale applications. Partnering with product teams, identify customer needs and translate them into innovative solutions that prioritize usability and performance. Additionally, you will mentor and provide technical guidance to junior engineers and multi-functional collaborators, driving excellence and innovation within the team. What You’ll Need to Succeed: Bachelor’s or equivalent experience, advanced degree such as a Ph.D. in Computer Science, Machine Learning, Data Science, or a related field. 6–9 years of industry experience building and deploying machine learning systems at scale. Proficiency in programming languages such as Python (for ML/AI) and Java (for production-grade systems). Strong expertise in machine learning frameworks and tools (e.g., TensorFlow, PyTorch). Solid understanding of mathematics and ML fundamentals: linear algebra, statistics, optimization, and numerical methods. Experience with deep learning techniques for computer vision (e.g., CNNs, transformers), natural language understanding (e.g., BERT, GPT), or multimodal AI. Consistent track record of delivering ML solutions to production environments, optimizing performance, and ensuring reliability. Knowledge of large-scale distributed systems and frameworks (e.g., Kubernetes, Spark, Hadoop). Strong problem-solving skills and the ability to innovate new solutions for complex challenges. Excellent communication and collaboration skills to work efficiently in a fast-paced, multi-functional environment. Nice-to-Haves: Experience with generative AI (e.g., Stable Diffusion, DALL·E, MidJourney) and its application in content creation or discovery. Knowledge of computational geometry, 3D modeling, or animation pipelines. Familiarity with real-time recommendation systems or search indexing. Publications in peer-reviewed journals or conferences in relevant fields. Why Join Us? Be part of a dynamic, innovative team shaping the future of AI-powered creative tools. Work on impactful, large-scale projects that touch millions of users daily. Enjoy the benefits and resources of a leading global company with the agility of a startup environment. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more about our vision here. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

Job Description We are recruiting a Non-life (General Insurance) Analyst in the Actuarial Services team. The responsibilities of Senior will include: Work as a core member of the actuarial team and contribute to make it a center of excellence Analyze the historical claims data and identify potential issues and trends and document the findings Build MS-excel based actuarial tools and be able to use triangulation methods for the purpose of estimating outstanding loss reserves for various (Re)insurance companies. Work on Statement of Actuarial Opinions (SAO) and actuarial audits of clients Review data, methodologies, assumptions, results and benchmark against market Reconcile results from previous year and compare with clients' results Review Nonlife pricing models and carry out bespoke modeling Assist with Solvency II Technical provisions actuarial reviews for PRA submission requirements Validate consistency across regulatory submissions Assist client with understanding and implementing the new regulations e.g. Solvency II, IFRS, etc. Provide transaction and due diligence support to the client Provide assistance with actuarial system transformation Assist with actuarial review of Economic capital requirements Make proper commentary on the results/findings and prepare the summary report Assist senior members of the team in day-to-day management activities including MI reporting Actively participate in engagement team meeting Communicate with engagement managers/Directors/partners in UK and build strong professional relationship Provide regular updates to stakeholders and discuss solutions to potential problem areas Qualifications Qualifications: Graduate/Post graduate with a strong background in mathematics and statistics 0-1 years of experience in Insurance business and finance. Member of Institute of Actuaries (UK) , SoA and CAS of US and/or Institute of Actuaries of India and must have passed at least 4 actuarial exams from any of these institutes. #KGS Show more Show less

Description Within the Selection Monitoring team, a Business analyst is expected to own analytics on large volumes of data, synthesize the analysis into business insights, communicate the findings to stakeholders and and deliver business value. Business analyst will be expected to be skilled in understanding customer needs, converting them to analysis requirements, having working knowledge of data availability in various sources, building customer confidence through effective communication and derive recommendations. Business analyst would also be responsible for the project plan, cost and efficiency analytics platform resources, scaling of data processes and reports, and project timeline and deliverables. Key job responsibilities Solve ambiguous problems with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes Identify, develop and execute data analysis to uncover areas of business opportunities Learn and understand the broad range of Amazon’s data resources and develop knowledge of how, when and which data sources to use Deep dive into massive data sets to answer key business questions using SQL, MS Excel and other data manipulation languages Build new reports/dashboards to enable emerging business use cases Partner with Data Engineering team to deploy new data technology Present written recommendations and insights to key stakeholders that will help shape effective selection expansion strategies worldwide Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, modeling and problem solving About The Team Amazon’s Selection Monitoring team started operations in March 2009 and has grown steadily in scope ever since. Amazon Selection and Catalog Systems group at Amazon Chennai Center focuses on making direct impact on Selection for Amazon’s Retail & 3rd party marketplace business across markets worldwide. The Selection Monitoring team within this group owns end to end processes for discovering, prioritizing and adding new selection available to customers across different markets worldwide. This drives one of Amazon’s core focus areas: providing the widest selection to customers. We operate in a fast paced, rapidly growing environment offering new challenges and opportunities for making impactful changes in the Amazon ecosystem. Basic Qualifications 4+ years of tax, finance or a related analytical field experience 4+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel 3+ years of experience in hands-on analytics: building data pipelines using SQL, reports in Excel, dashboards in tools like QuickSight Ability to work effectively & independently in a fast-paced environment with tight deadlines Ability to engage with cross-functional teams for implementation of project/program requirements Preferred Qualifications Experience partnering with executive-level leaders to identifying and solving business issues 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. Company - ADCI MAA 15 SEZ - K20 Job ID: A2967275 Show more Show less

LeadSquared is currently seeking highly motivated Presales Professionals to join its Pre-sales Team in Bangalore. LeadSquared is a leading Sales Execution SaaS platform used by over 100,000 users across 25 countries to grow their businesses. LeadSquared differentiates itself by focusing on high-velocity sales processes and solving industry-specific problems better than others. Education, Financial Services and Consumer Marketplaces are the key focus areas for LeadSquared. LeadSquared has been recognized as one of the fastest-growing companies in the world: Among the Top 50 fastest growing tech companies in India as per Deloitte Fast 50 programs Frost and Sullivan's 2019 Marketing Automation Company of the Year award Among Top 100 fastest growing companies in FT 1000: High-Growth Companies Asia-Pacific Listed as Top Rates Product on G2Crowd, GetApp, and TrustRadius LeadSquared is backed by institutional investors like IFC, GAJA Capital, Stakeboat Capital, and angels like Jyoti Bansal. Role LeadSquared is looking for Presales Professionals, who will work in close collaboration with the sales team to create solutions and drive business closures. This role is very critical as it will directly impact sales, revenue, customer acquisition, and customer satisfaction. Key Responsibilities: · To deliver a high-quality experience to the prospects & customers during engagement, acquisition, and onboarding. · Present and Demonstrate end-to-end product capabilities to all required point-of-contacts at the prospect’s / customer’s end. · Create Solution Documents / Business Proposals, respond to RFQs/RFPs and create quick proofs-of-concept / custom demos/integrations to help the sales team negotiate contracts and drive deal closures. · Understand the software and tools ecosystem of each prospect/customer and come up with the most optimal ways of connecting LeadSquared to them. · Assess the customer needs and arrive at the best solution via close collaboration with the client’s POCs, sales team, product/technology team, delivery team and partner teams, as required. · Gain a thorough understanding of the product/platform and continuously learn from new product updates and pitch them appropriately to the clients, based on their requirements. · Gain continuous knowledge of the competitive landscape and their offerings across all required domains and regions. · Providing continuous feedback to product development/delivery team/sales team w.r.t. new trends/solution expectations from the customer sides based on market demand/research. · Continuous engagement with technology, delivery, partners, and 3rd party technology vendors to drive innovations and enhancements to product/platform, thereby creating new opportunities for up-sell / cross-sell across various domains/business verticals and across all regions. · Follow best practices and drive process efficiencies/automation & technology innovations. · Should aim to become the solution expert and go-to-person for the regional sales team to provide solutions to cater to various customer demands and business needs. · Build strong relationships with clients & partners and continuously explore upsell/cross-sell opportunities for LeadSquared products or services with them, in close collaboration with Sales Team / Customer Success Team. · Participate actively and deliver Knowledge Sharing Sessions & Training to internal teams/partners. Requirements: · Engineering (preferably from CS). MBA (Sales / Marketing / Finance). A data science/statistics background would be a plus. · 6-10 Years of experience in a Pre-sales role · Excellent written and verbal communication (English) skills. · Excellent presentation and demonstration skills, addressing all key pain points of the client at hand. · High degree of expertise in making presentations/proposals and contracts with good commercial sense. · Excellent aptitude, problem-solving skills, and quick prototyping / proof-of-concept-creation skills. · Should have good exposure and experience w.r.t creating business / commercial proposals and responding to RFQs / RFPs etc. · Should be passionate about customer-facing roles. · Ability to grasp new technologies and drive executions quickly. · Knowledge & Experience in SaaS, CRM Tools, Sales & Marketing Tools, and Cloud/AWS would be a plus. o Good understanding of how cloud-based platforms/applications are delivered and consumed. o Good understanding of unique features and challenges of SaaS applications (web and mobile) o Knowledge of software tools and technologies, prevalent in the Healthcare/Education sector and how they get integrated, would be a plus. · Should be focused on delivering results with Quality and possess the ability to multitask. · Should have excellent work ethics and be a wonderful team player and collaborator. · Knowledge of the latest tools, technologies and innovations is equally important, e.g., knowledge of bots, AI/ML, Propensity, etc. would be a plus. · Hands-on experience as a programmer (in any language - web/mobile development) would be a plus. · Exceptional critical thinking skills would be a plus. · A stint in a start-up / early-stage organization would be a plus. 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Data Engineer- ETL Bangalore, India AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities. This data should not only be high quality, but also actionable - enabling AXA XL’s executive leadership team to maximize benefits and facilitate sustained industrious advantage. Our Chief Data Office also known as our Innovation, Data Intelligence & Analytics team (IDA) is focused on driving innovation through optimizing how we leverage data to drive strategy and create a new business model - disrupting the insurance market. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and data-driven insights, we are seeking a Data Engineer. The role will support the team’s efforts towards creating, enhancing, and stabilizing the Enterprise data lake through the development of the data pipelines. This role requires a person who is a team player and can work well with team members from other disciplines to deliver data in an efficient and strategic manner. What You’ll Be Doing What will your essential responsibilities include? Act as a data engineering expert and partner to Global Technology and data consumers in controlling complexity and cost of the data platform, whilst enabling performance, governance, and maintainability of the estate. Understand current and future data consumption patterns, architecture (granular level), partner with Architects to make sure optimal design of data layers. Apply best practices in Data architecture. For example, balance between materialization and virtualization, optimal level of de-normalization, caching and partitioning strategies, choice of storage and querying technology, performance tuning. Leading and hands-on execution of research into new technologies. Formulating frameworks for assessment of new technology vs business benefit, implications for data consumers. Act as a best practice expert, blueprint creator of ways of working such as testing, logging, CI/CD, observability, release, enabling rapid growth in data inventory and utilization of Data Science Platform. Design prototypes and work in a fast-paced iterative solution delivery model. Design, Develop and maintain ETL pipelines using Py spark in Azure Databricks using delta tables. Use Harness for deployment pipeline. Monitor Performance of ETL Jobs, resolve any issue that arose and improve the performance metrics as needed. Diagnose system performance issue related to data processing and implement solution to address them. Collaborate with other teams to make sure successful integration of data pipelines into larger system architecture requirement. Maintain integrity and quality across all pipelines and environments. Understand and follow secure coding practice to make sure code is not vulnerable. You will report to the Application Manager. What You Will BRING We’re looking for someone who has these abilities and skills: Required Skills And Abilities Effective Communication skills. Bachelor’s degree in computer science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience. Relevant years of extensive work experience in various data engineering & modeling techniques (relational, data warehouse, semi-structured, etc.), application development, advanced data querying skills. Relevant years of programming experience using Databricks. Relevant years of experience using Microsoft Azure suite of products (ADF, synapse and ADLS). Solid knowledge on network and firewall concepts. Solid experience writing, optimizing and analyzing SQL. Relevant years of experience with Python. Ability to break complex data requirements and architect solutions into achievable targets. Robust familiarity with Software Development Life Cycle (SDLC) processes and workflow, especially Agile. Experience using Harness. Technical lead responsible for both individual and team deliveries. Desired Skills And Abilities Worked in big data migration projects. Worked on performance tuning both at database and big data platforms. Ability to interpret complex data requirements and architect solutions. Distinctive problem-solving and analytical skills combined with robust business acumen. Excellent basics on parquet files and delta files. Effective Knowledge of Azure cloud computing platform. Familiarity with Reporting software - Power BI is a plus. Familiarity with DBT is a plus. Passion for data and experience working within a data-driven organization. You care about what you do, and what we do. Who WE Are AXA XL, the P&C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don’t just provide re/insurance, we reinvent it. How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business − property, casualty, professional, financial lines and specialty. With an innovative and flexible approach to risk solutions, we partner with those who move the world forward. Learn more at axaxl.com What we OFFER Inclusion AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic. At AXA XL, we know that an inclusive culture and a diverse workforce enable business growth and are critical to our success. That’s why we have made a strategic commitment to attract, develop, advance and retain the most diverse workforce possible, and create an inclusive culture where everyone can bring their full selves to work and can reach their highest potential. It’s about helping one another — and our business — to move forward and succeed. Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe Robust support for Flexible Working Arrangements Enhanced family friendly leave benefits Named to the Diversity Best Practices Index Signatory to the UK Women in Finance Charter Learn more at axaxl.com/about-us/inclusion-and-diversity. AXA XL is an Equal Opportunity Employer. Total Rewards AXA XL’s Reward program is designed to take care of what matters most to you, covering the full picture of your health, wellbeing, lifestyle and financial security. It provides dynamic compensation and personalized, inclusive benefits that evolve as you do. We’re committed to rewarding your contribution for the long term, so you can be your best self today and look forward to the future with confidence. Sustainability At AXA XL, Sustainability is integral to our business strategy. In an ever-changing world, AXA XL protects what matters most for our clients and communities. We know that sustainability is at the root of a more resilient future. Our 2023-26 Sustainability strategy, called “Roots of resilience”, focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations. Our Pillars Valuing nature: How we impact nature affects how nature impacts us. Resilient ecosystems - the foundation of a sustainable planet and society - are essential to our future. We’re committed to protecting and restoring nature - from mangrove forests to the bees in our backyard - by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans. Addressing climate change: The effects of a changing climate are far reaching and significant. Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption. We're building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions. Integrating ESG: All companies have a role to play in building a more resilient future. Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business. We’re training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting. AXA Hearts in Action: We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL’s “Hearts in Action” programs. These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day - the Global Day of Giving. For more information, please see axaxl.com/sustainability. Show more Show less

Data Engineer- ETL Bangalore, India AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities. This data should not only be high quality, but also actionable - enabling AXA XL’s executive leadership team to maximize benefits and facilitate sustained industrious advantage. Our Chief Data Office also known as our Innovation, Data Intelligence & Analytics team (IDA) is focused on driving innovation through optimizing how we leverage data to drive strategy and create a new business model - disrupting the insurance market. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and data-driven insights, we are seeking a Data Engineer. The role will support the team’s efforts towards creating, enhancing, and stabilizing the Enterprise data lake through the development of the data pipelines. This role requires a person who is a team player and can work well with team members from other disciplines to deliver data in an efficient and strategic manner. What You’ll Be Doing What will your essential responsibilities include? Act as a data engineering expert and partner to Global Technology and data consumers in controlling complexity and cost of the data platform, whilst enabling performance, governance, and maintainability of the estate. Understand current and future data consumption patterns, architecture (granular level), partner with Architects to make sure optimal design of data layers. Apply best practices in Data architecture. For example, balance between materialization and virtualization, optimal level of de-normalization, caching and partitioning strategies, choice of storage and querying technology, performance tuning. Leading and hands-on execution of research into new technologies. Formulating frameworks for assessment of new technology vs business benefit, implications for data consumers. Act as a best practice expert, blueprint creator of ways of working such as testing, logging, CI/CD, observability, release, enabling rapid growth in data inventory and utilization of Data Science Platform. Design prototypes and work in a fast-paced iterative solution delivery model. Design, Develop and maintain ETL pipelines using Py spark in Azure Databricks using delta tables. Use Harness for deployment pipeline. Monitor Performance of ETL Jobs, resolve any issue that arose and improve the performance metrics as needed. Diagnose system performance issue related to data processing and implement solution to address them. Collaborate with other teams to make sure successful integration of data pipelines into larger system architecture requirement. Maintain integrity and quality across all pipelines and environments. Understand and follow secure coding practice to make sure code is not vulnerable. You will report to the Application Manager. What You Will BRING We’re looking for someone who has these abilities and skills: Required Skills And Abilities Effective Communication skills. Bachelor’s degree in computer science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience. Relevant years of extensive work experience in various data engineering & modeling techniques (relational, data warehouse, semi-structured, etc.), application development, advanced data querying skills. Relevant years of programming experience using Databricks. Relevant years of experience using Microsoft Azure suite of products (ADF, synapse and ADLS). Solid knowledge on network and firewall concepts. Solid experience writing, optimizing and analyzing SQL. Relevant years of experience with Python. Ability to break complex data requirements and architect solutions into achievable targets. Robust familiarity with Software Development Life Cycle (SDLC) processes and workflow, especially Agile. Experience using Harness. Technical lead responsible for both individual and team deliveries. Desired Skills And Abilities Worked in big data migration projects. Worked on performance tuning both at database and big data platforms. Ability to interpret complex data requirements and architect solutions. Distinctive problem-solving and analytical skills combined with robust business acumen. Excellent basics on parquet files and delta files. Effective Knowledge of Azure cloud computing platform. Familiarity with Reporting software - Power BI is a plus. Familiarity with DBT is a plus. Passion for data and experience working within a data-driven organization. You care about what you do, and what we do. Who WE Are AXA XL, the P&C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don’t just provide re/insurance, we reinvent it. How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business − property, casualty, professional, financial lines and specialty. With an innovative and flexible approach to risk solutions, we partner with those who move the world forward. Learn more at axaxl.com What we OFFER Inclusion AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic. At AXA XL, we know that an inclusive culture and a diverse workforce enable business growth and are critical to our success. That’s why we have made a strategic commitment to attract, develop, advance and retain the most diverse workforce possible, and create an inclusive culture where everyone can bring their full selves to work and can reach their highest potential. It’s about helping one another — and our business — to move forward and succeed. Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe Robust support for Flexible Working Arrangements Enhanced family friendly leave benefits Named to the Diversity Best Practices Index Signatory to the UK Women in Finance Charter Learn more at axaxl.com/about-us/inclusion-and-diversity. AXA XL is an Equal Opportunity Employer. Total Rewards AXA XL’s Reward program is designed to take care of what matters most to you, covering the full picture of your health, wellbeing, lifestyle and financial security. It provides dynamic compensation and personalized, inclusive benefits that evolve as you do. We’re committed to rewarding your contribution for the long term, so you can be your best self today and look forward to the future with confidence. Sustainability At AXA XL, Sustainability is integral to our business strategy. In an ever-changing world, AXA XL protects what matters most for our clients and communities. We know that sustainability is at the root of a more resilient future. Our 2023-26 Sustainability strategy, called “Roots of resilience”, focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations. Our Pillars Valuing nature: How we impact nature affects how nature impacts us. Resilient ecosystems - the foundation of a sustainable planet and society - are essential to our future. We’re committed to protecting and restoring nature - from mangrove forests to the bees in our backyard - by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans. Addressing climate change: The effects of a changing climate are far reaching and significant. Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption. We're building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions. Integrating ESG: All companies have a role to play in building a more resilient future. Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business. We’re training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting. AXA Hearts in Action: We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL’s “Hearts in Action” programs. These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day - the Global Day of Giving. For more information, please see axaxl.com/sustainability. Show more Show less

Connor, Clark & Lunn India Private Limited, Gurugram, HR Shift: 01:30 pm to 10:30 pm IST We are looking for an Analyst to join our Gurugram Investment Analytics Engineering (IA Engineering) Team. The IA Engineering Team manages a variety of investment analytics processes and functions and provides investment insights to stakeholders for an investment management firm managing over $140 billion in global assets. This is a fantastic opportunity to join a high impact, high skill team whose scope, visibility and importance, continue to grow. We embrace an entrepreneurial spirit and culture where each of us has the opportunity to succeed. We are a solution orientated and collaborative team seeking likeminded individuals who thrive in a challenging and dynamic environment. What You’ll Be Doing In this role you will play a critical role in the production of our post-trade analytics. You drive daily operational excellence and continuously look for opportunities to improve business outcomes. You will have the opportunity to work closely with multiple business partners including portfolio managers, information systems, other operations teams, and external service providers. Key responsibilities include: Manage the process of calculating, persisting, and auditing post-trade analytics Manage the production of recurring post-trade analytics reports including performance, attribution, and P&L reports Update consultant databases with fund information Proactively seek out and implement process/workflow improvements to increase efficiency, mitigate risk, and increase the level of service provided to stakeholders Investigate and resolve ad hoc issues as raised by stakeholders such as portfolio managers and performance analysts Develop data visualizations for our analytics using a variety of tools such as PowerBI About You The ideal candidate understands complex financial concepts and can apply technology to find insights and implement solutions. Education – You have a degree in Finance, Mathematics, Data Science, Computer Science, Statistics or a related field. Completion of a relevant designation, such as the CFA or FRM, is an asset. Industry Knowledge – Experience in the asset management industry and investment analytics is an asset. Passion for Technology – You are motivated by working with complex data sets and extracting insights from information through the application of technology. We work with a variety of coding and visualization programs including KDB+/Q, Python, PowerBI, etc. – training will be provided if necessary. Data Science Knowledge – You can understand, query, and analyze results from complex datasets. Problem Solver – You possess an analytical mindset and can detect patterns to solve problems. Collaborative – You have a collaborative spirit that helps you to work well with others and you communicate effectively. Continuous Process Improvement Mindset – You constantly take a critical eye to processes with the goal of finding improvement opportunities and bring an ability to manage multiple projects. About Connor, Clark & Lunn Financial Group At CC&L Financial Group, we understand the value of opportunity – for our clients and our team. Independent and employee-owned, we partner with investment professionals to grow successful asset management businesses, giving them the space to innovate and truly make an impact. With more than 40 years of history and offices across Canada and in the US, the UK and India, CC&L Financial Group and our multi-boutique family of affiliate firms collectively manage over $139 billion in client assets, providing a diverse range of traditional and alternative investment products and solutions to institutional, high-net-worth and retail clients. For a closer look at how you can build your career with us, we invite you to explore cclgroup.com. CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age. To apply for this position, please submit your resume and cover letter as one PDF. We thank all applicants in advance for their interest, but only those candidates shortlisted for interviews will be contacted. No telephone calls or recruitment agencies will be accepted. Apply for this Position Show more Show less

Description Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of e-commerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats? Our mission in Buyer Risk Prevention is to make Amazon the safest place to transact online. Buyer Risk Prevention safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, Buyer Risk Prevention designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of e-commerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats? Our mission in Buyer Risk Prevention is to make Amazon the safest place to transact online. Buyer Risk Prevention safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, Buyer Risk Prevention designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. Within BRP, we are looking for a leader for Payment Risk Operations. Our ideal candidate will be an experienced people leader who can thrive in an ambiguous and fast paced business landscape. You are passionate about working with complex datasets and are someone who loves to dive deep, analyze and turn data into insights. You will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction, developing scalable solutions for prevention. You will be leader of leaders within the PRO Analytics teams leading a team of Business Analyst, MIS and BA managers. You should have deep expertise in analytic view of business questions, building up & refining metrics framework to measure business operation and translating data into meaningful insights using a breadth of tools and terabytes of data. In this role, you will have ownership of end-to-end analytics development to complex questions and you’ll play an integral role in strategic decision making. You should have excellent business and communication skills to be able to work with business owners to understand business challenges & opportunities, and to drive data-driven decision into process & tool improvement together with business team. You will need to collaborate effectively with business and product leaders within PRO and cross-functional teams across BRP to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. In addition, you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities. This is a high impact role with goals that directly impacts the bottom line of the business. Key job responsibilities Build and execute the strategy for Payment Risk Operations Analytics team Hire, manage, coach and lead a high performing team of Business Analysts Develop inferences using statistical rigor to simplify and inform the larger team of noteworthy findings that impact the business Build datasets, metrics, and KPIs supporting business Design and develop highly available dashboards and metrics using SQL and Excel/Quicksight or other BI reporting tools Perform business analysis and data queries using scripting languages like R, Python etc Design, implement and support end-to-end analytical solutions that are highly available, reliable, secure, and scale economically Collaborate cross-functionally to recognize and help adopt best practices in reporting and analysis, data integrity, test design, analysis, validation, and documentation Proactively identify problems and opportunities and perform root cause analysis/diagnosis leading to significant business impact Work closely with internal stakeholders such as Operations, Program Managers, Workforce, Capacity planning, machine learning, finance teams and partner teams to align them with respect to your focus area Own the delivery and backup of periodic metrics, dashboards and other reports to the leadership team Manage all aspects of BI projects such as project planning, requirements definition, risk management, communication, and implementation planning. Execute high priority (i.e. cross functional, high impact) projects to create robust, scalable analytics solutions and frameworks with the help of Analytics/BIE managers Basic Qualifications 7+ years of business intelligence and analytics experience 5+ years of delivering results managing a business intelligence or analytics team, including sprint planning, roadmap planning, employee development and performance management experience Experience creating complex SQL queries joining multiple datasets, ETL DW concepts Experience with Excel 5+ years using data visualization tools like Tableau, Quicksight or similar tools Experience with R, Python or other statistical/machine learning tools Experience demonstrating problem solving and root cause analysis Experience using databases with a large-scale data set Bachelor's degree in engineering, analytics, mathematics, statistics or a related technical or quantitative field Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to finally come up with data/reports that help solve the business problem Analytical mindset and ability to see the big picture and influence others Good oral, written and presentation skills combined with the ability to be part of group discussions with leadership and explaining complex solutions to non-tech audience Preferred Qualifications Experience in Amazon Redshift and other AWS technologies Experience scripting for automation (e.g., Python, Perl, Ruby) Experience in e-commerce / on-line companies in fraud / risk control functions Ability to apply analytical, computer, statistical and quantitative problem solving skills Ability to work effectively in a multi-task, high volume environment Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations 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. Company - ADCI - BLR 14 SEZ Job ID: A2966814 Show more Show less

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Applied Research team leads the way in pioneering AI and machine learning innovations, specializing in GenAI, Autonomous Agents, deep learning, NLP, large language models (LLMs/GPT), graph models, etc. Our research is dedicated to pushing the boundaries of technology, anticipating future needs, and seamlessly integrating AI innovations into our product suite. We aim to deliver groundbreaking solutions that not only address current demands but also establish the groundwork for transformative advancements in data and applied sciences. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities We are seeking an Applied Research Manager Responsibilities include: Team Leadership Lead and mentor a team of applied researchers, fostering a collaborative and innovative work environment. Provide technical guidance and support to team members, helping them grow in their careers and achieve their goals. Drive the team's strategic vision and align it with the overall company objectives. Research And Development Conduct cutting-edge research in Gen AI, autonomous agents, LLMs, data science, machine learning, and applied statistics to solve complex business problems. Collaborate with cross-functional teams to identify opportunities for applying advanced analytics and machine learning techniques. Stay abreast of the latest developments in the field and ensure the team remains at the forefront of technology. Project Management Oversee the end-to-end lifecycle of data science projects, from problem definition to model deployment. Ensure projects are delivered on time and within scope, meeting both technical and business requirements. Collaborate with stakeholders to define project goals, success criteria, and deliverables. Technical Expertise Provide technical leadership and contribute hands-on expertise in areas such as machine learning, statistical modeling, and data analysis. Review and guide the development of algorithms, models, and methodologies to solve complex problems. Collaboration and Communication: - Collaborate with cross-functional teams, including engineering, product management, and business stakeholders, to drive data science initiatives. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and understandable manner. Qualifications Deep expertise of 10+ years in machine learning algorithms, model development, and deployment. Proven experience of 2+ years leading and mentoring a team of data scientists and machine learning engineers. Master's or Ph.D. in Computer Science, Machine Learning, or a related field. Proficiency in programming languages such as Python/Jupyter, TensorFlow, or PyTorch. - Experience with deploying machine learning models in production environments. Strong understanding of software engineering principles and best practices. Excellent problem-solving and analytical skills. Effective communication and collaboration skills. Additional experience in any of the areas like cyber security, fraud detection, regulations, business processes in enterprises, legal discovery, etc., would be beneficial, but not mandatory. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

Compensation Consultant Location: India About the Role We are seeking a detail-oriented Compensation Consultant to join our Global Talent Intelligence team. In this role, you will help drive compensation strategy by analyzing market trends, managing salary benchmarks, and providing data-driven compensation insights to our clients. Key Responsibilities Research market compensation data to provide strategic insights and recommendations to clients Prepare detailed reports on salary benchmarks, bonus structures, and equity compensation trends Partner with client teams to provide compensation recommendations for new hires, promotions, and internal transfers Deliver comprehensive compensation analysis and consulting solutions for client organizations Monitor and report on compensation metrics, ensuring compliance with client policies and local regulations Help maintain compensation databases and systems, ensuring data accuracy and integrity Develop compensation strategies and recommendations to client stakeholders Required Qualifications Bachelor's degree in Human Resources, Business, Economics, Statistics, or related field 5+ years of experience in HR, compensation, or related field Strong analytical skills with proficiency in MS Excel or Google Sheets and data analysis Experience with market compensation data analysis and interpretation Understanding of various compensation components including base pay, bonuses, and equity Excellent attention to detail and ability to maintain confidentiality Strong written and verbal communication skills in English Preferred Qualifications Knowledge of US labor laws and compensation practices Experience working in a global organization Familiarity with equity compensation concepts and practices Basic understanding of statistical analysis and modeling What We Offer Opportunity to work with diverse global clients and influence compensation strategies Competitive salary and benefits package Professional development opportunities Remote work environment Health insurance coverage Annual performance bonus Professional certification support Qualified candidates should possess a strong analytical mindset, exceptional problem-solving abilities, and a passion for data-driven decision making. The ideal candidate will be comfortable working with sensitive information and maintaining strict confidentiality while managing multiple client relationships. Show more Show less

Description Job Description for Transportation Specialist – NOC INDIA NOC (Network Operations Center) is the central command and control center for ‘Transportation Execution’ across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, NOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving NOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, NOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time. Purview of a Transportation Specialist Responsibilities In this role, the candidate will work with business and operations team to solve customer escalations, analyze historic results, initiate programs – all in an environment of rapid growth and increasing complexity. Candidate will drive improvements to the visibility tools, methods, and processes utilized by the team to increase the availability and granularity of actionable data to internal and external partners. The successful candidate must show significant ownership on customer issues and proactively initiate SOPs and process changes as required. He/she will be passionate about their work, detail-oriented, and have excellent problem-solving abilities. He/she will have superb communication and customer-relationship skills, analytic insight, and be a passionate advocate of customer to other stakeholders. He/she will drive towards simple, scalable solutions to difficult problems, and have excellent project-management skills Responsibilities include, but are not limited to: Communication with internal customers (CS, MM, LM, FC, Trans Program, HR). Exceptional written and verbal communication skills with the ability to create compelling positioning / messaging strategy and present complex information clearly and concisely. High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision. Strong analytical, mediation and problem resolution skills. Demonstrated leadership with a bias towards action, supporting a culture of ownership and learning. Skilled in collaborative management environment, clear formal and informal communication with members of the remote and local management teams. Strong understanding of process improvement techniques Basic Qualifications Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics Preferred Qualifications Experience with Excel 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. Company - ASSPL - Telangana - D82 Job ID: A2986856 Show more Show less

R Shiny Web Developer Job Summary: We are seeking a skilled and results-driven R Shiny Web Developer with 4–5 years of experience in developing interactive web applications using R and Shiny. The ideal candidate will be responsible for building, deploying, and maintaining scalable dashboards and data-driven applications to support business intelligence and analytical needs. Key Responsibilities: Design, develop, and maintain interactive web applications using R Shiny. Collaborate with data scientists and analysts to understand requirements and translate them into user-friendly applications. Optimize Shiny applications for performance and scalability. Integrate APIs and external data sources into Shiny apps. Implement data visualization best practices using ggplot2, plotly, and other R libraries. Ensure security, accessibility, and cross-browser compatibility of applications. Write clean, efficient, and well-documented R code. Troubleshoot, debug, and upgrade existing applications. Work in an agile environment and contribute to sprint planning, reviews, and stand-ups. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related field. 4–5 years of hands-on experience in R and Shiny application development. Proficient in R packages like dplyr, tidyr, data.table, ggplot2, shinyjs, etc. Experience with HTML, CSS, and JavaScript for front-end customization. Solid understanding of reactive programming in Shiny. Experience with version control tools like Git. Ability to work with large datasets and optimize data handling in R. Strong problem-solving skills and attention to detail. Good communication and documentation skills. Preferred Skills (Nice to Have): Experience with Docker, AWS, or other cloud platforms. Familiarity with SQL, Python, or Tableau. Knowledge of deploying Shiny apps using Shiny Server or RStudio Connect. Understanding of RESTful APIs and integration techniques. If Intrested. Please submit your CV to Khushboo@Sourcebae.com or share it via WhatsApp at 8827565832 Stay updated with our latest job opportunities and company news by following us on LinkedIn: :https://www.linkedin.com/company/sourcebae Show more Show less

Job Summary: We are seeking a highly analytical and intellectually curious Quantitative Researcher to join our research and trading team. In this role, you will design, develop, and test systematic trading strategies using a data-driven and scientific approach. You will work alongside traders, developers, and data scientists to identify alpha signals, model risk, and improve portfolio performance across multiple asset classes. Key Responsibilities: ● Research and develop quantitative models for alpha generation, risk management, and execution. ● Analyze large datasets to identify patterns, inefficiencies, or statistical arbitrage opportunities. ● Conduct rigorous backtesting and simulation of trading strategies. ● Apply statistical and machine learning techniques to improve signal quality and prediction. ● Collaborate with engineering and trading teams to implement models into production. ● Monitor and evaluate model performance and make real-time adjustments as needed. ● Stay updated on academic research, market structure, and trading innovations. Qualifications: ● Candidate with 2 - 3 Years of experience in specific Quant Research or Algo Trader (Indian Market) ● Master’s or Ph.D. in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Engineering, Quant Finance). ● Discretionary traders, please do not apply ● Strong background in statistical modeling, time-series analysis, or machine learning. ● Strong programming skills in C++ and Python are mandatory. ● Good knowledge of financial data analysis and data structures . ● Solid understanding of options and Greeks is mandatory . ● Experience with data handling, feature engineering, and model evaluation techniques. ● Strong problem-solving and critical-thinking abilities. ● Ability to communicate complex ideas clearly to both technical and non-technical audiences. Dis-Qualification: Candidates will not be considered if they exhibit any of the following: Long notice period ; we require someone who can join within 2 months (sooner the better). Discretionary traders . Candidates aspiring to become quant traders but lack existing quant experience; we require 2-3 years of proven quantitative trading/research experience. Inability to independently design strategies, code, and backtest them. You must have an existing strategy or solid ideas. Preference to work in a silo environment ; we maintain a highly collaborative culture where ideas are openly shared across all levels—from junior interns to senior traders. Lack of eagerness to learn and adapt. Preference for work from home ; we offer hybrid work in exceptional cases only, and expect primarily office-based presence in Gurgaon. Preferred Skills: ● Experience working with alternative data sources (e.g., satellite, web scraping, sentiment). ● Familiarity with execution algorithms, market impact modeling, or HFT environments. ● Knowledge of optimization methods and portfolio theory. ● Exposure to cloud computing, distributed systems, or parallel computing. What We Offer: ● Highly competitive compensation package for the right candidate, there is no bar on salary , coupled with a performance-based P&L share . ● Access to rich datasets, cutting-edge infrastructure, and proprietary tools ● Collaborative, research-driven culture focused on innovation and growth. ● Opportunities to publish, attend conferences, or mentor juniors (if desired) Show more Show less

Description Automotive Category Team at Amazon, India is looking for a highly motivated and talented candidate for the role of Business Analyst. Join Amazon Autos team on an exhilarating journey to redefine the vehicles & vehicle accessories shopping experience! We're transforming the way people buy vehicles & accessories, and we want passionate individuals to be part of our fast-growing and highly innovative startup environment. This is your chance to join a high prospect project in the early stages of its development and be a key player in shaping the future of the automotive industry Key job responsibilities Understanding drivers, impacts, and key influences in the BizOps Domain. Partnering with the business team to create key performance indicators for processes and new methodologies for measurement of success of processes. Translating data into actionable insights for the stakeholders. Automate reporting for weekly business metrics, identify areas of opportunity to automate and scale ad-hoc analyses. You will build infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions Must have advanced SQL & Excel Expertise Basic Qualifications Bachelor's degree Preferred Qualifications Bachelor's degree in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field 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. Company - ASSPL - Karnataka Job ID: A2986887 Show more Show less

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description: About UPS: Moving our world forward by delivering what matters! UPS is a company with a proud past and an even brighter future. Our values define us. Our culture differentiates us. Our strategy drives us. At UPS we are customer first, people led and innovation driven. UPS’s India based Technology Development Centers will bring UPS one step closer to creating a global technology workforce that will help accelerate our digital journey and help us engineer technology solutions that drastically improve our competitive advantage in the field of Logistics. ‘Future You’ grows as a visible and valued Technology professional with UPS, driving us towards an exciting tomorrow. As a global Technology organization we can put serious resources behind your development. If you are solutions orientated, UPS Technology is the place for you. ‘Future You’ delivers ground-breaking solutions to some of the biggest logistics challenges around the globe. You’ll take technology to unimaginable places and really make a difference for UPS and our customers. Job Summary: This position provides input and support for full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She performs tasks within planned durations and established deadlines. This position collaborates with teams to ensure effective communication and support the achievement of objectives. He/She provides knowledge, development, maintenance, and support for applications. Responsibilities: Generates application documentation. Contributes to systems analysis and design. Designs and develops moderately complex applications. Contributes to integration builds. Contributes to maintenance and support. Monitors emerging technologies and products. Additional Primary Skills: Experience with NET programming languages Experience with Structured Query Language (SQL) Experience with unit testing, performance testing, and integration testing Understanding of data structures, programming logic, and design Understanding of application design patterns Embrace CI/CD and code automation Experience working as part of an Agile/Scrum Team Excellent written & verbal communication skills Excellent attention to detail Additional Primary Skills: Frontend UI development skills (Angular, JavaScript, TypeScript) No SQL / Document Databases (Couchbase) Messaging (Active MQ) Application Containerization (Kubernetes, Red Hat Open Shift) Experience with public cloud (e.g., Google, Azure) Willingness to learn new technologies Qualifications: 2-5 years of experience Bachelor’s Degree or International equivalent Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description: Job Summary This position performs duties and tasks to support full systems life cycle management (e.g., analysis, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She performs tasks within planned durations and established deadlines. This position collaborates with teams to ensure effective communication and support the achievement of objectives. He/She provides development, maintenance, and support for applications. Responsibilities: 2+ years' experience as Full stack developer with Java, Oracle and Angular. Devops and Agile project experience is a plus. Assists with Information Systems projects. Assists in system analysis and design. Designs and develops low to moderately complex applications. Generates application documentation. Supports integration builds. Assists with maintenance and support. Qualifications: Bachelor’s Degree or International equivalent Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field - Preferred Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Job Description Very good understanding of Predictive modeling techniques and their application. Knowledge of Credit life cycle Statistics and machine learning techniques. Conducted and applied statistical methodologies including linear regression, logistic regression, ANOVA/ANCOVA, CHAID/CART, cluster analysis. Good understanding of Probability of Default (PD), LGD and EAD modeling technique. Team player and collaboration skills. Programming skills in SAS, GCP, R and PYTHON. Fluency with Excel, PowerPoint and Word Strong written and oral presentation / communication skills – must have the ability to convey complex information simply and clearly Responsibilities Execute analytics special studies and ad hoc analyses Using SAS, GCP, R, Python for model building and model validation Continual enhancement of statistical techniques and their applications in solving business objectives Compile and analyze the results from modeling output and translate into actionable insights Prepare PowerPoint presentations and document preparation for the entire credit risk modeling process Collaborate, Support, Advise and Guide in development of the models Acquire and share deep knowledge of data utilized by the team and its business partners Participate in global conference calls and meetings as needed and manage multiple customer interfaces Evaluate new tools and technologies to improve analytical processes Set own priorities and timelines to accomplish projects (accountability for project deliverables) Qualifications Masters in Mathematics/Statistics/Economics/Engineering or any other related discipline or a track record of performance that demonstrate this ability Practical applications of mathematical modeling, Operations Research and Machine Learning techniques Demonstrated knowledge in credit and/or market risk measurement and management Excellent problem solving, communication, and data presentation skills Proficient with SAS, SQL and GCP Show more Show less

Job Brief: We are looking for a persuasive and competitive Medical Representative who can thrive in a fast-paced business environment to promote and sell company medications to vast group of specialised Doctors and other relevant healthcare professionals through the chain of distributors, wholesalers and retailers. He/she will be responsible for persuading potential customers to purchase company medications, identifying prospective business opportunities for the company, educate direct/indirect consumers, increase product awareness, answer queries, provide advice, introduce new products, and providing the relevant departments with customer feedback and all that by executing the company’s business strategy. Job Responsibilities: Demonstrating, presenting, or selling the company's medications to doctors, and relevant healthcare professionals. Scheduling and arranging appointments with doctors, pharmacists, hospital medical teams, and other healthcare professionals, which may include pre-arranged appointments or regular 'cold' calling to promote company medications. Executing the company’s business strategy and contribute in strategy making by 360 degree feedback. Attending and organising sales meetings, conference calls, training sessions and symposium circuits Regularly attending company meetings, technical data presentations and briefings Keeping up to date with the latest medical data supplied by the company, and interpreting, presenting and discussing this data with health professionals during presentations Providing competitive information such as bid situations, pricing data, or bundling arrangements in order to establish negotiated pricing contracts for assigned products. Gathering, analysing and delivering information from the field to allow the company to develop strategies and products appropriated to the Quality and Safety Testing. Qualification Requirements: Bachelor's degree in Pharmacy (B’ Pharmacy or D’ Pharmacy), Sciences (B.Sc.), Business (BBA) or related field. Proficient in MS Office 3 years’ experience as a sales representative in the field of pharmaceutical or healthcare products (or similar role) Familiarity with databases, statistics, product lines, and latest medical issues Skills: Confidence, determination, persistence and zeal to learn. Planning, analytical and organisational skills A flexible approach to work in order to adapt changes, for example in the healthcare system or product and drug formularies General IT and administration skills. Must be willing, dedicated and success-oriented. Should be loyal, smart and honest. Should acquire basic knowledge of drugs and Pharma market. Should be good at English language. Excellent spoken and written communication, negotiation and sales skills Good knowledge regarding the human body and Microbiology Should have Problem-solving skills Preferably Science background Should be able to Pursue customers Should be Punctual Ability to build-up Relationship with customers Ability to explore Opportunities Fluency in local language would be an added advantage What to expect: Achieving sales target assigned by the company Opportunities occur throughout India, but the job usually involves responsibility for a particular geographical area. Smart dress and a professional appearance are essential. The working day can be long due to the travelling time involved and you may need to socialise with clients or conduct presentations in the evenings, for example. Remuneration: Best in the industry Job Type: Full-time Pay: ₹15,000.00 - ₹30,000.00 per month Benefits: Cell phone reimbursement Health insurance Provident Fund Work Location: In person

Description Job Description for Transportation Specialist – NOC INDIA NOC (Network Operations Center) is the central command and control center for ‘Transportation Execution’ across the Amazon Supply Chain network supporting multiple geographies like NA, India and EU. It ensures hassle free, timely pick-up and delivery of freight from vendors to Amazon fulfillment centers (FC) and from Amazon FCs to carrier hubs. In case of any exceptions, NOC steps in to resolve the issue and keeps all the stakeholders informed on the proceedings. Along with this tactical problem solving NOC is also charged with understanding trends in network exceptions and then automating processes or proposing process changes to streamline operations. This second aspect involves network monitoring and significant analysis of network data. Overall, NOC plays a critical role in ensuring the smooth functioning of Amazon transportation and thereby has a direct impact on Amazon’s ability to serve its customers on time. Purview of a Transportation Specialist Responsibilities In this role, the candidate will work with business and operations team to solve customer escalations, analyze historic results, initiate programs – all in an environment of rapid growth and increasing complexity. Candidate will drive improvements to the visibility tools, methods, and processes utilized by the team to increase the availability and granularity of actionable data to internal and external partners. The successful candidate must show significant ownership on customer issues and proactively initiate SOPs and process changes as required. He/she will be passionate about their work, detail-oriented, and have excellent problem-solving abilities. He/she will have superb communication and customer-relationship skills, analytic insight, and be a passionate advocate of customer to other stakeholders. He/she will drive towards simple, scalable solutions to difficult problems, and have excellent project-management skills Responsibilities include, but are not limited to: Communication with internal customers (CS, MM, LM, FC, Trans Program, HR). Exceptional written and verbal communication skills with the ability to create compelling positioning / messaging strategy and present complex information clearly and concisely. High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision. Strong analytical, mediation and problem resolution skills. Demonstrated leadership with a bias towards action, supporting a culture of ownership and learning. Skilled in collaborative management environment, clear formal and informal communication with members of the remote and local management teams. Strong understanding of process improvement techniques Basic Qualifications Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics Preferred Qualifications Experience with Excel 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. Company - ASSPL - Delhi - C76 Job ID: A2986708 Show more Show less