247 Quantitative Analysis Jobs - Page 3

Responsibilities Work with large, complex datasets; solve difficult, non-routine analysis problems, applying advanced quantitative methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, model development and evaluation, as well as written and verbal delivery of results to business partners. Collaborate closely with stakeholders in Product Management, Engineering and Operation teams to define relevant questions, objectives and metrics, identify and implement quantitative methods to answer those questions. Develop, own and evolve methodologies and frameworks providing a source of truth measures for the organization. Establish comprehensive understanding of the production systems, advocate for changes where needed for product development, and build data driven solutions to faciliate the efficacy improvement. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.

You are a strategic thinker passionate about driving solutions in Model Development. You have found the right team. As a Model Development Associate in our Finance team, you will spend each day defining, refining, and delivering set goals for our firm. Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems. Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations. Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance. Know what type of algorithm to use and how to implement them. Build and deploy prototype solutions to demonstrate ideas and prove concepts. Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues. Become a subject matter expert and trusted advisor in the analytics discipline. Collaborate with others in the organization to develop new ideas and brainstorm potential solutions. Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group. Mentor junior team members. Required qualifications, capabilities, and skills: - Deep quantitative/programming background with a graduate degree (M.S., Ph.D.) in Statistics, Engineering, Computer Science, Mathematics, Operations Research, or Economics. - Ability to write code and develop production-ready analytical applications. - Significant experience working with very large scale (structured and unstructured) data. - Excellent written and oral communication skills to clearly present analytical findings and business recommendations. - Highly motivated, productive, and teamwork oriented. - Good project management skills (clear goal setting, well-organized, detailed planning, and ability for tight-timeline deliverables). - Able to translate ambiguous business problems into a conceptual mathematical framework. - Passionate about continuous learning and professional development. - Deeply curious; creative and imaginative. - Can work both independently and collaboratively. Preferred qualifications, capabilities, and skills: - 3 years of related experience preferred. - Hands-on experience with Machine Learning models. Familiarity with Gen AI and its applications is good to have. - Ability to influence and become a trusted advisor. - Expertise in Python (mandatory), Pyspark (good to have). - Ability to convey complex concepts to non-technical audiences. - Effective communication and presentation skills.,

As a Junior Quantitative Analyst at our company, you will be responsible for various tasks within the equities team. You should possess 2-3 years of experience in the equities space and have a solid foundation in quantitative analysis. This role presents an exciting opportunity to collaborate with seasoned professionals and contribute to the advancement of innovative investment strategies. Your primary responsibilities will include collecting, cleansing, and analyzing extensive datasets associated with equity markets. You will also play a key role in developing and executing quantitative models to bolster trading strategies and inform investment choices. Monitoring and assessing the real-time and historical performance of these models and strategies will be a crucial aspect of your role. Additionally, you will be tasked with generating automated reports on model performance, market conditions, and performance drivers. Collaboration with senior analysts, portfolio managers, and other team members will be essential to support the investment process effectively. To qualify for this position, you should hold a Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field. A Master's degree would be advantageous. You must have 2-3 years of experience in quantitative analysis within equities trading. Proficiency in programming languages, particularly Python, is required, along with familiarity with SQL and data visualization tools. Strong analytical and problem-solving skills are essential, enabling you to interpret complex data and derive actionable insights accurately. A keen eye for detail and a commitment to precision are critical attributes for success in this role. Candidates with knowledge of financial instruments, market microstructure, trading strategies, risk management principles, and quantitative finance tools will be preferred. Experience with optimizations, risk models, and regression analysis would also be beneficial for the role.,

Are you seeking an exciting opportunity to become part of a dynamic and expanding team in a fast-paced and challenging environment This unique position offers you the chance to collaborate with the Business team to deliver a comprehensive perspective. As a Model Risk Program Analyst within the Model Risk Governance and Review Group (MRGR), your responsibilities include developing model risk policy and control procedures, conducting model validation activities, offering guidance on appropriate model usage in the business context, evaluating ongoing model performance testing, and ensuring that model users understand the strengths and limitations of the models. This role also presents attractive career paths for individuals involved in model development and validation, allowing them to work closely with Model Developers, Model Users, Risk and Finance professionals. Your key responsibilities will involve engaging in new model validation activities for all Data Science models in the coverage area. This includes evaluating the model's conceptual soundness, assumptions, reliability of inputs, testing completeness, numerical robustness, and performance metrics. You will also be responsible for conducting independent testing and additional model review activities, liaising with various stakeholders to provide oversight and guidance on model usage, controls, and performance assessment. To excel in this role, you should possess strong quantitative and analytical skills, preferably with a degree in a quantitative discipline such as Computer Science, Statistics, Data Science, Math, Economics, or Math Finance. A Master's or PhD degree is desirable. Additionally, you should have a solid understanding of Machine Learning and Data Science theory, techniques, and tools, including Python programming proficiency and experience with machine learning libraries such as Numpy, Scipy, Scikit-learn, TensorFlow, and PyTorch. Prior experience in Data Science, Quantitative Model Development, Model Validation, or Technology focused on Data Science, along with excellent writing and communication skills, will be advantageous. A risk and control mindset, with the ability to ask incisive questions, assess materiality, and escalate issues, are also essential for this role. By staying updated on the latest developments in your coverage area, you will contribute to maintaining the model risk control apparatus of the bank and serve as a key point of contact within the organization. Join our team and be a part of shaping the future of model-related risk management decisions.,

As a Reporting and Analytics Lead, you will be a key member of our data analytics team, responsible for overseeing accurate data collection, processing, modeling, and analysis. You will have a keen eye for identifying solutions within complex data sets and the strategic acumen to translate insights into actionable opportunities for our organization. Collaborating closely with leaders in Marketing, Product, Content, IT/Tech, and Data Science, you will play a pivotal role in enabling data-driven decision-making. Your primary focus will be on ensuring data precision and consistent reporting standards by developing and implementing efficient processes and procedures for the analytics team to adhere to. Leveraging your profound expertise in data analysis, you will tackle real-world challenges faced by our company and identify avenues for enhancement across various projects, teams, and business sectors. In this role, you will lead a team of 8-10 analysts, both full-time employees and contractors, to build, standardize, and elevate BI solutions and business analytics. Your collaborative approach will involve partnering with stakeholders to deliver optimal, standardized, and user-friendly solutions that address core business objectives effectively. Key Responsibilities: - Collaborate with cross-functional teams such as Subscriber Marketing, Content, IT/Tech, Data Science, and Product to identify and resolve critical business issues. - Drive business process transformation by extracting insights across teams and functions. - Manage the collection of reporting requirements, conceptualize models, and design data flow processes. - Utilize your technical prowess and business acumen to translate data into actionable insights. - Implement solutions to enhance and automate existing reporting processes, utilizing tools like Tableau, Power BI, Python, and SQL. - Demonstrate expertise in designing and deploying ETL/Streaming processes. - Develop compelling data visualizations using advanced BI tools to tell a cohesive story. Qualifications: - Bachelor's degree (Master's preferred) in business analytics, engineering, or a related quantitative discipline with a minimum of 12 years of experience. - Extensive proficiency in creating interactive dashboards using Tableau at an expert level. - Strong technical skills in SQL, AWS, Snowflake, and Python. - Proven track record of developing automated report suites and driving automation and consolidation of business reports and dashboards. - Experience leveraging analytics techniques to contribute to company growth initiatives, driving revenue and other key business outcomes. - Exceptional problem-solving, quantitative, and analytical capabilities. - Ability to effectively plan and manage multiple processes, individuals, and projects simultaneously. - Hands-on experience in working with databases and creating dashboards using relevant data to support decision-making. - Excellent communication, collaboration, and delegation abilities.,

As a Secondary Market Research Senior Consultant at IQVIA, you will be a valuable member of a global technology team consisting of over 82,000 employees, located in Bangalore, Gurugram, and Pune. Your role will involve assisting life sciences companies in accelerating innovation to enhance human health by leveraging transformative technologies that integrate industry-leading data and analytics. Your primary responsibility will be to deliver strategy and management consulting projects, which include conducting Market Assessments, basic forecasting, data Analytics, strategic market reviews, Go-To-Market (GTM) strategies, competitive profiling and analysis, and pharmaceutical industry analysis. Your problem-solving skills will be crucial for conducting integrated desk research, epidemiology studies, quantitative analysis using IQVIA data assets, storyboarding, stakeholder and project management, business development support, people management, and process improvement. Your operational responsibilities will include background and experience with Market Assessments, Basic Forecasting, Data Analytics (Power BI), and a strong quant aptitude with intensive knowledge of the Pharmaceutical and Life Sciences sector. You will assist in commercial due diligences for local pharma clients, support business plan development, and perform extensive analysis and research to build a detailed understanding of target markets, companies, or opportunities based on client problem statements. You will be expected to source information through secondary research and IQVIA data sources, integrate qualitative and quantitative data to present structured analysis and value-added insights to clients. Undertaking market analysis, including market characteristics, competitor characteristics, and prescriber characteristics, will be part of your responsibilities. You will also deliver high-quality, client-ready output with minimal supervision, identify risks/issues, and escalate them to project leads in a timely manner. To qualify for this role, you should hold a Graduate/Post-graduate degree in Life Sciences from a premier institute and have 8 to 11 years of experience in a client-facing role within Pharmaceutical/Biotechnology/Consulting/Professional Services Outsourcing company. Demonstrated hands-on expertise in one or more practice areas, strong analytical, problem-solving, interpersonal, and presentation skills are essential for this position. Additional requirements include the ability to synthesize qualitative and quantitative data, create a collaborative team spirit, structure project research approaches using cross IQVIA resources, and extract key learnings independently. Strong interpersonal, communication, research, analytical, and presentation skills are necessary, along with a high sensitivity to deadlines, attention to detail, adaptability, and resilience to work constructively under pressure. IQVIA, a leading global provider of clinical research services, commercial insights, and healthcare intelligence, aims to accelerate the development and commercialization of innovative medical treatments to improve patient outcomes and population health worldwide. If you are self-motivated, proactive, and possess the required skills and expertise, we welcome you to join our team. Learn more at https://jobs.iqvia.com.,

We are looking for a highly skilled Quant Researcher to join our team at QuantInsti, a leading quantitative learning company in the IT Services & Consulting industry. The ideal candidate will have a strong background in quantitative research and analysis, with excellent problem-solving skills and attention to detail. Roles and Responsibility Conduct thorough quantitative analysis of complex data sets to identify trends and patterns. Develop and implement advanced statistical models and algorithms to solve real-world problems. Collaborate with cross-functional teams to design and execute experiments and studies. Analyze and interpret large datasets to inform business decisions and drive growth. Stay up-to-date with industry trends and developments in quantitative research. Communicate complex technical concepts effectively to non-technical stakeholders. Job Requirements Strong proficiency in programming languages such as Python or R. Experience with data visualization tools like Tableau or Power BI. Excellent understanding of statistical concepts and machine learning algorithms. Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a team environment and communicate effectively. Strong organizational and time management skills with the ability to prioritize tasks.

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

You will be a part of the Investments team at Navi, located in Bangalore, responsible for managing the portfolio of investment products such as mutual funds and digital gold. Your role will involve driving equity research and quantitative strategy development to facilitate data-driven investment decisions. Collaborating closely with cross-functional teams, you will contribute to enhancing portfolio performance, delivering actionable insights, and staying updated on market trends through continuous research and innovation. Your responsibilities will include conducting in-depth equity market analysis to identify investment opportunities and risks, developing quantitative strategies and predictive models, and analyzing financial and non-financial datasets for deriving actionable insights. You will collaborate with the data science and portfolio management teams to create and update quantitative models, evaluate factors impacting stock prices, and explore various data sources for improving the quantitative model. Furthermore, you will collaborate effectively with Fund managers, the Data Science team, and other stakeholders to align initiatives with investment goals. You will also be responsible for creating dashboards, reports, and visualizations to effectively communicate findings to investment teams and stakeholders. Additionally, staying updated on market trends, emerging investment opportunities, and advancements in quantitative research methods to introduce new approaches for enhancing the investment process will be crucial. As a successful candidate, you must possess a sound understanding of capital markets, particularly Equity markets, along with a strong grasp of market mechanics and fundamentals. Prior experience in statistical modeling, machine learning, and quantitative analysis techniques is highly desirable. You should have the ability to work under tight deadlines in a competitive environment, strong analytical and problem-solving skills, as well as excellent communication and presentation abilities. In the dynamic and customer-first culture of Navi, you will be empowered to work in a team that builds and improves innovative solutions. The Navi DNA includes traits such as ambition, perseverance, self-awareness, ownership, and integrity. If you are impact-driven, strive for excellence, and embrace change while putting the customer first, you will thrive at Navi.,

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Product Control Associate in our Finance team, you will spend each day defining, refining, and delivering set goals for our firm. Engage with Regional Controllers to understand pain areas and challenges, providing support to address these issues effectively. Collaborate and act as a resource to project management and the businesses for various projects/business initiatives. Standardize processes to improve transparency and efficiency in financial results. Support month-end close activities, including financial data review, variance investigation, fluctuation analysis, and preparation of financial reporting deliverables. Provide support in conducting targeted reviews for specific products and processes, utilizing both quantitative and qualitative factors to assess risks and enhance operational effectiveness. Lead monthly governance meetings with Regional Controllers to monitor risks and outstanding items, ensuring timely escalation and resolution, and publish scorecards/KPI ratings, etc., to monitor items until closure. Ensure financial information is in compliance with US and local GAAP and firm's corporate accounting policies, documenting exceptions where appropriate. Required Qualifications, Capabilities, and Skills: Qualified accountant with 6 years of experience in the Financial Services industry, possessing Financial reporting or Product Controller experience. Proficiency in Microsoft Office, including Excel and PowerPoint, as well as digital tools like Alteryx and Tableau, is required. Strong analytical and problem-solving skills with attention to detail and control focus. Ability to work effectively in a matrix organization with limited local oversight. Proven skills in identifying and resolving control issues impacting financial results. Preferred Qualifications, Capabilities, and Skills: Knowledge of Python is a plus. Good knowledge of the SAP system. Strong communication skills and executive presence. Experience around project management would be an added advantage.,

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Product Control Associate in our Finance team, you will spend each day defining, refining, and delivering set goals for our firm. Engage with Regional Controllers to understand pain areas and challenges, providing support to address these issues effectively. Collaborate & Act as a resource to project management & the businesses for various projects/business initiatives. Standardize processes to improve transparency and efficiency in financial results. Support month-end close activities, including financial data review, variance investigation, fluctuation analysis, and preparation of financial reporting deliverables. Provide support in conducting targeted reviews for specific products and processes, utilizing both quantitative and qualitative factors to assess risks and enhance operational effectiveness. Lead monthly governance meetings with Regional Controllers to monitor risks and outstanding items, ensuring timely escalation and resolution, and publish scorecards/KPI ratings, etc., to monitor items until closure. Ensure financial information is in compliance with US & local GAAP and firm's corporate accounting policies, documenting exceptions where appropriate. Required Qualifications, Capabilities, and Skills: Qualified accountant with 6 years of experience in the Financial Services industry, possessing Financial reporting or Product Controller experience. Proficiency in Microsoft Office, including Excel and PowerPoint, as well as digital tools like Alteryx and Tableau, is required. Strong analytical and problem-solving skills with attention to detail and control focus. Ability to work effectively in a matrix organization with limited local oversight. Proven skills in identifying and resolving control issues impacting financial results. Preferred Qualifications, Capabilities, and Skills: Knowledge of Python is a plus. Good knowledge of the SAP system. Strong communication skills and executive presence. Experience around project management would be an added advantage.,

Are you seeking an exciting opportunity to be part of a dynamic and growing team in a fast-paced and challenging environment Here is a unique chance for you to collaborate with the Business Intelligence team to offer a comprehensive perspective. The Business Intelligence team is focused on leveraging data-driven and advanced analytical approaches to identify, prioritize, and accelerate high-value revenue growth opportunities within the Global Banking business. By utilizing both existing and new data sets, including JPMC-proprietary and third-party market research, the team determines the most profitable opportunities for acquiring new clients and enhancing existing relationships. The team aims to develop actionable business insights and assist business intelligence leads in identifying the most optimal growth prospects. As a Strategy & Business Intelligence Associate within our Global Banking Intelligence team, you will be at the forefront of data analytics and business problem-solving. Your responsibilities will involve defining, refining, and achieving set objectives for our firm through the application of relevant, timely, and effective data-driven strategies. Job Responsibilities: - Ownership and management of workstreams within strategic projects in the business intelligence portfolio - Acting as an internal consultant by framing problems, structuring analysis, and providing actionable insights to stakeholders - Engaging with JPM senior leadership and bankers on progress updates, steerco meetings, data gathering exercises, etc. - Communicating actionable insights to business stakeholders using various delivery mechanisms such as dashboards, email alerts, PowerPoint presentations, etc. - Adapting to a fast-paced environment with multiple projects and potentially conflicting priorities Required qualifications, capabilities, and skills: - Minimum of 3 years" experience in Strategy, Data Analytics, or Consulting - Demonstrated ability in business problem-solving to extract actionable insights supporting business growth objectives from diverse data and research resources - Strong business acumen and a quantitative/analytical mindset - Ability to interact with senior leadership and global stakeholders, possessing strong presentation, communication, and collaboration skills - Proficiency in any of the following software packages: Python, R, or SQL, along with familiarity with relational database concepts, and a keen interest in continuous learning Preferred qualifications, capabilities, and skills: - Prior experience in management consulting is preferred - Background in financial services is advantageous - MBA/M.Tech from a top-tier school; additional qualifications in data/business analytics are a plus - Expertise with tools such as Alteryx, Tableau, and Qliksense - Strong quantitative background or experience in statistics and machine learning is desirable,

As the Strategy Manager for PPL's three businesses - PPS, PCC, and CPD, your primary responsibility will be to drive the development of the strategy roadmap and strategic initiatives for the organization. You will work closely with internal stakeholders such as Business Heads, CXOs, Legal, Compliance, Investor Relations, and select Board members, as well as external consultants and investment bankers. Reporting directly to the Vice President of Strategy, you will lead a team of three members. The ideal candidate should hold a full-time MBA in Marketing, Operations, Finance, or Strategy from a Premier B School and possess 5-7 years of experience in strategy roles within the Pharma industry. Consulting experience is desirable but not mandatory. Critical qualities for this role include the ability to work strategically and collaboratively across businesses, proficiency in quantitative and qualitative analysis, scenario planning, and a strong understanding of strategy, pharma operations, M&A, and finance. Effective communication and interpersonal skills are crucial, along with the ability to influence key stakeholders without direct authority. Your key roles and responsibilities will involve driving strategic business initiatives, leading large programs and projects, identifying market trends, developing strategic roadmaps, and long-range plans. You will also be responsible for providing governance practices, creating collaterals for key review meetings, and developing external content for conferences and media interactions. Overall, you will serve as a key liaison between the Executive Committee members and other senior leaders within the organization, ensuring alignment and communication on various business aspects. This role requires a proactive and strategic mindset, strong analytical skills, and the ability to drive execution while fostering collaboration across multiple geographies and functions.,

As a MCA Analyst, you will conduct thorough quantitative and qualitative analysis on the underlying loans and properties that collateralize Commercial Mortgage Backed Securities transactions. Additionally, you will assist other analysts with the creation of loan valuations and write-ups, as well as assist with special projects/initiatives as needed. Responsibilities include: - Writing monthly research reports & transaction snapshots, providing commentary and opinions on Commercial Mortgage Backed Securities (CMBS) for institutional clients. - Providing accurate and timely assistance with basic data and preliminary tasks to support the research and analysis of CMBS properties. - Retrieving, analyzing, researching, and reporting on CMBS pool level and property level performance, including identifying and analyzing risky assets based on qualitative and quantitative factors. - Identifying macro and micro risk factors to determine exposure within CMBS pools and loan portfolios. - Monitoring, analyzing, and reporting executive summaries on CMBS transactions, investigating potential default or loss scenarios for underlying real estate loan collateral. - Communicating and supporting other Morningstar Analysts or third-party contacts to collect data and information for quality and timely reporting. - Researching and responding to inquiries regarding specific aspects of assigned CMBS pools, evaluating detail relative to bond class holdings to ascertain strengths and weaknesses. - Maintaining communication with operations and technology teams about tasks, priorities, and application development requirements. - Taking ownership of tasks with a focus on quality and accuracy of deliverables. - Demonstrating a strong learning curve and eagerness to progress in the rating value chain. Requirements: - 2 to 4 years of experience in credit research, with knowledge of CMBS and credit ratings preferred. - Bachelor's degree required, Masters, CFA, or FRM preferred. - Excellent writing communication, quantitative, and analytical skills. - Intermediate level proficiency in Microsoft Excel, Visual Basic for Applications (VBA), and MSSQL. - Creative thinker with strong problem-solving skills. Morningstar is an equal opportunity employer. About Morningstar DBRS: Morningstar DBRS is a leading provider of independent rating services and opinions for various entities globally. With a focus on transparency and diversity of opinion, Morningstar DBRS empowers investor success by responding to customer needs in local markets while providing expertise and resources. The company is known for its agility, tech-forward approach, and exceptional customer service, positioning it as the next generation of credit ratings. If you accept an offer from Morningstar, disclosure of personal and related investments to the Compliance team is required for review. Any conflicts of interest identified may require liquidation of holdings immediately. Depending on department and location, certain employee accounts must be held with an approved broker. Morningstar offers a hybrid work environment, allowing for remote work with regular in-person collaboration. Various benefits are available to enhance flexibility, and tools/resources enable meaningful engagement with global colleagues. (Note: "Job Description" has been formatted into proper paragraphs without headers as per the instructions provided.),

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Wayfair Data Science is the engine that powers an enterprise obsessed with data. The Wayfair websites generate over 100M clicks from the millions of customers that visit our sites every day to discover and purchase home goods. The Customer Tech Data Science team is focused on understanding and optimizing customer behavior on the website and mobile application as a key enabler for the company to move fast and iterate quickly on big business problems. At their core, the Customer Tech Data Science team at Wayfair are strong in quantitative analysis, enjoy coding but also want to balance that with their interest in business and applying advanced modeling techniques. They think critically to tackle complex challenges, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. There are significant opportunities for new team members to emerge as leaders, taking on additional projects and responsibilities with strong performance. As a Data Scientist at Wayfair, you will play a critical role in uncovering insights that shape strategic decisions and improve business performance. You will conduct in-depth analysis across large-scale datasets (clickstream, sales, product, logistics, and customer data) to uncover trends, gaps, and business opportunities. You will champion the use of emerging technologies to transform how data is explored and insights are uncovered. Additionally, you will become a subject matter expert on key business metrics and customer behavior, drive innovation in business analysis, collaborate with cross-functional partners, design and interpret A/B tests, and build scalable dashboards and reports using various tools. To be successful in this role, you should have a Bachelor's degree in a quantitative discipline, 2-4 years of work experience in analytics or data science, proficiency in programming languages like Python, R, or SAS, strong knowledge of SQL, experience in conducting quantitative analyses on complex datasets, familiarity with data visualization software, and excellent analytical, communication, and problem-solving skills. Experience in e-commerce or retail analytics is a plus. Wayfair is a global online destination for home goods, committed to industry-leading technology and creative problem-solving. Join us for rapid growth, continuous learning, and dynamic challenges that will define the most rewarding work of your career. Your personal data is processed in accordance with Wayfair's Candidate Privacy Notice. For any privacy-related questions or requests, please contact dataprotectionofficer@wayfair.com.,

As a member of the Expedia Group team, you will be part of a global travel powerhouse that aims to make travel smoother and more memorable for everyone, everywhere. Our innovative technology solutions cater to travelers" needs and create groundbreaking opportunities for our partners. We thrive on the diversity, vibrancy, and inclusivity of our community, which is fundamental to our continued success. Why Join Us At Expedia Group, we prioritize people in shaping the future of travel. Our Values and Leadership Agreements guide us in maintaining an open culture where every individual is valued, differences are celebrated, and collective success is paramount. By joining our team, you will enjoy a comprehensive benefits package that includes exciting travel perks, generous time-off, parental leave, a flexible work model, and access to career development resources. We are committed to fueling our employees" passion for travel and ensuring a fulfilling career journey as we work towards building a more open world. About The Role Are you enthusiastic about data, analytics, and collaborating with top talent to solve complex problems If you are eager to make a direct impact on reshaping the travel industry through insightful recommendations that drive enhancements, we are looking for you! We are in search of an experienced analytics professional to join our AI Agent Product Analytics Team, supporting a diverse portfolio of the world's leading online travel brands. In this mid-level role, you will work closely with product managers to focus on user experience optimization through GenAI-driven personalization. As a Data Scientist, your responsibilities will involve collaborating with a multidisciplinary team to address various challenges. You will bring scientific rigor and statistical methods to support business growth and product development efforts. Your role will play a crucial part in informing key business decisions across the product development lifecycle to enhance the user experience for millions of Expedia customers. You will be tasked with identifying customer friction points, generating and prioritizing hypotheses, designing experiments, conducting unbiased test analyses, providing actionable recommendations, and optimizing products. If you are a self-motivated individual who has a track record of leveraging analytics to drive innovation and enhance user engagement, this role is tailored for you. Your Responsibilities Will Include: - Applying expertise in quantitative analysis, machine learning, data mining, and data visualization to enhance customer experience and drive business outcomes with a focus on impactful analytics - Guiding product teams towards actionable insights - Leading end-to-end testing excellence, including the evaluation of A/B and multivariate (MVT) tests, identifying opportunities, and suggesting new features for test-and-learn initiatives - Assessing and implementing alternative methods to complement randomized testing - Developing metrics frameworks for your product, creating accurate and user-friendly dashboards/reports, and collaborating on goal setting, performance reviews, and strategic planning - Taking the initiative to identify current and potential problems and recommending optimal solutions based on trade-offs Experience And Qualifications: - 4+ years of experience in quantitative analysis for solving business problems - Bachelor's degree in a science, technology, engineering, or mathematics (STEM) field - Strong analytical skills with the ability to break down complex business scenarios - Experience with large datasets and proficiency in SQL or programming languages such as R or Python - Excellent communication skills with the ability to craft compelling stories using data - Solid understanding of statistics and hypothesis testing (e.g., confidence intervals, regression, time series, clustering, factor analysis) - Familiarity with visualization tools such as Tableau - Knowledge of Adobe Analytics or Google Analytics is a plus - Detail-oriented with a strong curiosity and passion for making an impact Accommodation Requests: If you require assistance during any part of the application or recruiting process due to a disability or other physical or mental health conditions, please contact our Recruiting Accommodations Team through the Accommodation Request. We are honored to have been recognized as a Best Place to Work on Glassdoor in 2024 and to have received accolades for our award-winning culture from organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's esteemed family of brands includes Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Please note that all employment opportunities and job offers at Expedia Group will be communicated by Expedia Group's Talent Acquisition and hiring teams. Never disclose sensitive personal information to anyone unless you are certain of the recipient's identity. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom prior contact has not been made. Our official email domain is @expediagroup.com. To find and apply for job openings at Expedia Group, visit careers.expediagroup.com/jobs.,

As a Sustainability Data Analyst at Radisson Hotel Group (RHG) Global Sustainability Team, based in the Area Support Office in Delhi - India, your role is crucial in contributing to the company's journey towards Net Zero by 2050. You will be responsible for gathering and analyzing sustainability-related data from various internal and external sources, covering areas such as energy, water, waste, carbon emissions, procurement, and social impact indicators. Your work will align with compliance standards like CSRD and frameworks such as SBT. One of your primary responsibilities will be to define and implement data quality strategies to ensure accurate and optimized data utilization. You will also play a key role in structuring complex problems, testing hypotheses, and presenting data-driven insights to support decision-making for the Global Sustainability Team and executives. Collaboration with cross-functional teams, regional offices, and hotels will be essential in creating data-driven sustainability business cases. Your role will involve synthesizing intricate information into actionable insights, both in written reports and presentations for various stakeholders. Additionally, you will be responsible for creating and analyzing monthly, quarterly, and annual reports on Sustainability Key Performance Indicators (KPIs) in alignment with frameworks such as GRI, CDP, CSRD, and SBTi. Leveraging digital tools and analytics capabilities, you will enhance data quality, reporting accuracy, and predictive analysis for sustainability performance. Furthermore, you will contribute to creating RHG's Net Zero roadmap through quantitative modeling of decarbonization pathways and scenario analysis. To be successful in this role, you should hold a Bachelor's or Master's degree in Data Analytics, Business, Sustainability, Engineering, or related fields. A minimum of 2 years of relevant work experience in sustainability data management, business analytics, consulting, or related fields is required. Strong quantitative and analytical skills, familiarity with data visualization tools like Power BI and advanced Excel, and exposure to ESG and decarbonization topics are essential. Knowledge of sustainability reporting standards such as GRI, CDP, CSRD, TCFD, and SBTi is highly desirable. Additionally, the ability to work independently with attention to quality, problem-solving skills, and excellent verbal and written communication skills in English are crucial for this role. Knowledge of integrating AI in data analytics is considered a plus. By joining the Global Sustainability Team at RHG, you will have the opportunity for global exposure, working alongside diverse teams across 100+ countries and engaging with colleagues and experts from operations, engineering, and finance. Your contributions will have a meaningful impact on shaping RHG's global sustainability strategy and progressing towards the Net Zero pathway.,

You will drive the strategy roadmap development for PPL's 3 businesses - PPS, PCC, and CPD along with strategic initiatives of the organization. Your key stakeholders will include internal teams such as Business Heads, Other CXOs, Legal, Compliance, Investor Relations, and select Board members. Additionally, you will engage with external consultants and investment bankers. You will report directly to the Vice President - Strategy and manage a team of 3 members. To qualify for this position, you must hold a Full-time MBA in Marketing, Operations, Finance, or Strategy from a Premier B School. You should have 5-7 years of experience in strategy roles within the Pharma industry, including Corporate Strategy, M&A, and Business Strategy. Consulting experience will be beneficial but not essential. Critical qualities for this role include the ability to work strategically and collaboratively across businesses, functions, and geographies. You should have a strong focus on quantitative and qualitative analysis, scenario planning, and business profitability. A sound understanding of strategy, pharma operations, M&A, and finance is crucial. Effective communication and interpersonal skills are also necessary to liaise with key stakeholders and drive execution and program management. Your key roles and responsibilities will involve driving strategic business initiatives from origination to successful execution in alignment with the business strategy across multiple stakeholders and geographies. You will lead strategically important programs and projects within each of the businesses and/or at the PPL level. Additionally, you will assist the Head of Strategy in identifying key market trends, shifts, and changes in paradigm for PPL's operations. Key tasks will include developing strategic roadmaps, long-range plans, and holistic solutions for complex problems within the organization. You will establish leading governance practices for key governance fora and develop collaterals for review meetings and external engagements. Serving as a liaison between ExCom members and other senior leaders will also be part of your responsibilities.,

Join us as an "SM&D Electronic Trading Quant" at Barclays, where you will be responsible for designing and developing mathematical algorithms to support market analytics, execution strategies, pricing, hedging, pre/post-trade analytics, and models. Your main objective will be to create cutting-edge business logic and models to enhance electronic liquidity offerings to clients along with associated analytics. This role will encompass the entire process from requirements gathering to design, implementation, productionisation, optimization, monitoring, and support. The Statistical Modelling and Development team focuses on trading activities within the Markets division, particularly electronic trading. Your responsibilities will include developing algorithms and model-based business logic for electronic trading, applying Data Science to trading and sales activities, and utilizing underlying technology for electronic trading and Data Science applications. Electronic trading aims to provide liquidity to clients on agency and principal basis, involving electronic connections or trading. This requires the development of proprietary algorithms and trading business logic through data mining and statistical techniques. Your tasks will revolve around information extraction from market data, price formation, auto-hedging, algorithmic risk management, execution strategies, and smart order routing. To excel in this role, you should possess a graduation or masters degree from a reputable institution in a quantitative, mathematical, or scientific discipline. Hands-on experience with algorithms or eTrading business logic, strong programming skills (Python, Q/KDB & at least one of JAVA or C++), and excellent verbal and written communication skills are essential. Additionally, a strong understanding of econometrics, statistics, and machine learning tools, prior experience as a quant researcher/trader in a sell-side environment, ability to multitask and work in a dynamic environment both independently and collaboratively, logical thinking, problem-solving skills, and mathematical aptitude are desirable. Your primary purpose will be to provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain. You will apply quantitative analysis, mathematical modeling, and technology to optimize trading and investment opportunities. Your key accountabilities will include developing and implementing quantitative models and strategies, collaborating with sales teams to address clients" needs, conducting in-depth research, data analysis, and statistical modeling to derive insights, providing front office infrastructure support, and sharing expertise on quantitative methodologies and technological advancements. You will be expected to consistently deliver high-quality work, demonstrate in-depth technical knowledge and experience, understand underlying principles and concepts in your area of expertise, lead and supervise a team if applicable, and contribute to the work of related teams within the area. Your role will involve partnering with other functions and business areas, managing risk, ensuring compliance with regulations and codes of conduct, and enhancing controls related to your work. All colleagues are required to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

The Economic Analyst, North America (NAM) position at Mastercard Economics Institute (MEI) involves engaging in data analytics and economic research for the U.S. and Canada. Reporting to the VP, Lead Economist for North America at MEI, you will be responsible for supporting client and stakeholder engagements, collaborating with external clients and partners, and generating initial insights to create impactful storylines and visuals. You will also be involved in synthesizing analyses into clear recommendations, writing reports and client presentations, enhancing existing products, and proactively seeking new knowledge to improve productivity. The role requires a Bachelor's degree in Economics, Statistics, or Mathematics, with experience in statistical modeling, quantitative analysis, and R development, focusing on economic research. Proficiency in SQL and Hadoop is essential, along with expertise in R, Python, or other statistical packages. Experience with Tableau is preferred, and knowledge of JavaScript for data visualization is a plus. Familiarity with econometric and statistical techniques such as predictive modeling, regression analysis, time series modeling, and data mining methods is necessary. A willingness to learn additional statistical applications and software is expected. Candidates with prior experience in the financial services industry will be given preference. Strong communication and writing skills are essential for this role, along with the ability to actively participate in thought leadership activities and contribute to the continuous improvement of quality and productivity within the organization.,

As a professional in this role, you will be responsible for performing thorough assessments of clients" existing Sales, HR, and Operations processes to identify inefficiencies and performance gaps. Utilizing both quantitative and qualitative methods, you will evaluate current practices against industry standards and best practices. Your primary focus will be on gathering and analyzing relevant data from various sources within the client's organization. You will be expected to employ financial analysis techniques to assess the impact of identified gaps on the organization's overall performance. Your expertise will be essential in developing comprehensive reports that outline identified gaps, provide detailed analysis, and offer strategic recommendations. It will be crucial for you to ensure that these reports are clear, concise, and tailored to the specific needs of each client. In this role, you will prepare and deliver presentations to clients, clearly articulating findings and recommendations. Your ability to address client queries and provide insights to facilitate understanding indecision-making processes will be key to your success. Collaboration with client teams and other stakeholders to validate findings and recommendations will also be a significant aspect of your responsibilities. This is a full-time position that requires in-person work at the designated location.,

Looking Chemist for Bauxite,iron,coal & Coke testing for world's leading testing & Certification company,NABL , 17025 lab having experience in ICP OES Job Summary: Provide expertise in chemical analysis and research to contribute to the development and improvement of products and processes. Conduct experiments, analyze results, and interpret data to draw conclusions and make recommendations. Ensure compliance with regulatory standards and safety protocols. Key Responsibilities: Perform chemical synthesis, purification, and characterization of compounds. Use analytical techniques such as spectroscopy, chromatography, and mass spectrometry for qualitative and quantitative analysis. Document experimental procedures, results, and findings accurately. Collaborate with multidisciplinary teams to achieve project goals. Stay current with scientific literature and advancements in the field. Maintain laboratory equipment and ensure proper calibration and operation.

Structured Finance, Associate Quant Analyst (Mumbai) The Team : DBRS Morningstar is a global credit ratings business with about 800 employees in eight offices globally. Formed through the acquisition of DBRS by Morningstar, Inc., the credit ratings business is the fourth-largest provider of credit ratings in the world. DBRS Morningstar is committed to empowering investor success, serving the market through leading-edge technology, and raising the bar for the industry. DBRS Morningstar is a market leader in Canada, the U.S. and Europe in multiple asset classes. DBRS Morningstar rates more than 4,000 issuers and 56,000 securities worldwide, and is driven to bring more clarity, diversity, and responsiveness to the ratings process. Visit: https://www.dbrsmorningstar.com/learn/dbrsmorningstar to learn more. Credit Operations Mumbai Analytics team enables and supports the efficient and effective delivery of credit ratings/information to the market with its specialized skills and assets, consistent frameworks, and economies of scale. We collaborate with stakeholders to build creative, impactful solutions and offer services for the business and the market. About the Role : DBRS Morningstar Structured Finance team is looking for candidate with good problem solving, analytical & technical mindset. As an Associate Quant Analyst, you will work with team to automate data analysis processes to include document downloads, data storage, build and run data analytics to aid rating, research, and surveillance process, develop and enhance data analysis and workflow optimization tools; assist with special projects/initiatives, as needed. Proficiency in Python, SQL and VBA will be needed. This role will provide unique opportunities for mastering the key aspects of our business including in-depth collateral and deal analysis. This position is based in our Navi Mumbai office. Responsibilities: Work directly with Internal & external team to deliver projects and services. Perform, when possible, quantitative analysis in order to measure outcomes. Assist the team with transforming, improving and integrating data, depending on the business requirements. Combining the data result sets across multiple sources Understand core concepts around data storage and access specifically in structured data systems such as databases (SQL, Athena, AWS S3) Develop and maintain APIs to integrate internal and external data sources. Participate actively in the design and build phases, to aim at producing high quality deliverables. Have a mindset to bring about process efficiencies and ideate automations Collect, organize, and study data from internal and external sources for use in criteria development, ratings, and research reports. Take ownership of the tasks with focus on quality and accuracy of the deliverables Demonstrate strong learning curve Highly organized and efficient, with ability to multi-task and meet tight deadlines Ensure compliance with regulatory and company policies and procedures. Requirements: Bachelors degree in Engineering or other quantitative discipline, Economics, Finance or Management Studies. Masters, CFA or CFA program enrollment are a plus 2-3 years of experience working with financial products using Python. Proficiency in Python / Anaconda, Data science stack (Jupyter, Pandas, NumPy), Microsoft Excel, Visual Basic for Applications (VBA) and MSSQL. Proficiency in object-oriented programming is a plus. Strong attention to detail and accuracy Highly motivated, self-starter who is keen to learn, has a positive attitude and a strong work ethic Ability to manage multiple tasks at the same time and deliver results in a timely manner Good inter-personal skills and ability to participate/ contribute as a team player. Morningstar DBRS is an equal opportunity employer.

Qualcomm India Private Limited is seeking a Business Operations Analyst, Senior (Market Intelligence) to join their Global Business and Finance Support (GBFS) team. In this role, you will be responsible for conducting Market Research activities such as Market Sizing & Competitive Tracking, Research & Analysis, and Industry Analysts support. You will play a key role in delivering technical, competitive, and market analysis to inform business decisions within Qualcomm. As a part of the Corporate Market Intelligence team, you will collaborate with various teams across the Company including Corporate Development, Product Management, Finance, Legal, and other BU and corporate functions. Your responsibilities will include monitoring key market and competitive events, conducting market sizing and forecasting, and synthesizing industry analysts forecasts. You will also be involved in conducting market analysis, competitive research, and aligning research to address internal teams" business needs. To excel in this role, you should have 5-7 years of experience in market, competitive, or strategic research within the high-tech/mobile ecosystem space. A background in Finance is preferred, along with experience in market sizing, modeling, and forecasting. Proficiency in BI platforms like Tableau and Power BI is required, along with strong analytical, tactical, and strategic thinking skills. Excellent written and verbal communication skills are essential, as you will be communicating with internal and external stakeholders at all levels of the organization. Additionally, you should have experience working with 3rd party syndicated research firms and business research tools. Advanced technical proficiency in Excel and PowerPoint is necessary, and experience with Tableau is a plus. A flexible approach to taking evening calls for reviews and transition activities is a requirement for this role. Qualifications for this position include a Bachelor's degree, with a background in Science, Technology, Commerce, Economics, Business Analytics, or Business Administration. A minimum of 3 years of Finance, Accounting, or related work experience is required. Advanced degrees in relevant fields may be considered as a substitution for work experience. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, you can contact Qualcomm's toll-free number or email disability-accommodations@qualcomm.com. Please note that Qualcomm employees are expected to adhere to all applicable policies and procedures, including those related to the protection of confidential information. Staffing and recruiting agencies are advised not to submit unsolicited profiles, applications, or resumes through Qualcomm's Careers Site. If you are interested in this role or need more information, please reach out to Qualcomm Careers for further details.,

As a Fund Selection/ Fund Manager Research (Alternative Assets) in the Investment Portfolio, you will be responsible for leading quantitative and qualitative data requests from traditional and alternative asset managers for fund due diligence. Demonstrating subject matter expertise in leading the manager research vertical, you will play a crucial role in the investment decision-making and manager-selection processes. Your tasks will include conducting fund manager due diligence, maintaining updated investment due diligence notes, and organizing data on a central database. Upon receiving data from the investment manager, you will be in charge of formatting and inputting it into a company research template, ensuring accuracy and integrity. Managing a team of specialists, you will oversee the production of manager research reports and ensure efficient delivery adhering to accuracy and timeliness. Additionally, you will monitor portfolio performance, analyze market trends, and develop reports for internal, external client presentations, and senior management. The preferred candidate for this role should have at least 6 years of experience in global markets with exposure in multi-asset/alternative asset classes. Experience in the fund manager selection process for alternative asset classes, asset management, or investment/fund due diligence is essential. Holding a CFA Charter or progressing towards CFA at advanced levels is preferred. A degree from a reputed college in finance or MBA, along with a working knowledge of all asset classes focusing on alternatives, is required. Intellectual curiosity, analytical expertise, and proficiency in Microsoft Excel and Office products are also key qualifications. If you meet the above requirements and are interested in this position, please share your CV at aishwarya@beanhr.com.,