358 Econometrics Jobs - Page 2

Associate / Sr. Associate - Customer Success Who are we looking for? Associate Customer Success drives value for clients by optimizing/managing business processes, synthesizing data at regular intervals, maintaining high-quality standards, applying automation leveraging cutting-edge technology, performing analyses, updating business rules, presenting results to the clients, and answering queries on deliverables. and generating focused insights. Openings: 5 Experience: Min. 2-4 Years of work experience Requirements: • Candidates having exposure to the Cybersecurity industry will be preferred not mandatory. • Past experience in working with Advanced Excel and in making powerful presentations will be a plus. • We welcome candidates with a range of degrees and backgrounds, though sustained success with a significant volume of analytic and quantitative coursework is required. • Any bachelor's or master's degree in engineering, Operations Management/Research, MIS, Management Science, Applied Mathematics, Statistics or Econometrics will be entertained. Roles: 1. Developing and managing client portfolios. 2. Analyzing customer data to improve customer experience. 3. Hold product demonstrations for customers & improve onboarding processes. 4. Mediate between clients and the organization to achieve end goals. 5. Handling and resolving customer requests and complaints. 6. Minimize customer churn to increase customer retention. What You can expect from us: • Competitive salary • Technical coaching to ensure continuous professional growth • Awards & recognition for your hard work Show more Show less

Senior Applied Scientist Bangalore, Karnataka, India Date posted Jun 12, 2025 Job number 1828301 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview The Microsoft Word Writing Assistance and Language Intelligence team located in Redmond, Washington build large scale natural language understanding and natural language generation models using cutting edge Natural Language Processing technologies and advanced linguistic knowledge. The team has a 25-year track record of delivering innovative AI-powered writing assistance solutions to millions of users worldwide with a vision of bringing out the best writer in everyone. The team have recently launched a set of groundbreaking Copilot features that help users to dramatically enhance productivity and creativity throughout their writing journey from start to finish. As a Senior Applied Scientist in the team, you will drive intelligence experience projects through their entire life cycle from idea creation through rigorous science experiments, evaluations, and finally to worldwide availability. You will collaborate with other applied scientists, researchers, engineers, and product managers to deliver high-quality features and products that enhance the writing experience across multiple platforms and domains. You will also conduct cutting-edge applied research leading to high product impact and publish your work in top-tier conferences and journals. This opportunity will allow you to accelerate your career growth, develop deep business acumen, and hone your scientific skills. You will have the flexibility to work from home partially or fully, depending on your preference and location. We value work-life balance and support our team members to achieve their personal and professional goals. 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. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of research or product experience in NLP. 3+ years of hands-on experience in Deep Learning using PyTorch or similar. 3+ years of software engineering experience in Python or C#. Effective communication, collaboration, and problem-solving skills and a customer-centric mindset. Preferred Qualifications: PhD degree in Computational Linguistics or Computer Science with a focus on NLP. Fluency with recent NLP & LLM advancement as well as a driven passion for discovering the next generation of technology. Experience conducting applied research and publishing papers. Experience working in collaborative multiple team environment and ship production features in a fast-paced environment. Responsibilities The mission of the team is to advance intelligent reading and writing assistance in M365 and to make fundamental contributions to advancing the state-of-the-art in language technology within Microsoft and in industry. As a senioar applied scientist, your responsibilities include: You will review business and product requirements and incorporate state-of-the-art research to formulate plans that will meet business goals. You will research and develop an understanding of tools, technologies, and methods being used in the community that can be utilized to improve product quality, performance, or efficiency. You will stay updated with the latest research and trends in NLP and related fields and explore new ideas and opportunities for innovation. You will participate in onboarding of junior team members. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. 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.

Associate, Product Operations,NPS Prism Title: Associate, Product Operations Company Profile: NPS Prism is a market-leading, cloud-based CX benchmarking and operational improvement platform owned by Bain & Company. NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. Based on rock-solid sampling, research, and analytic methodology, it lets customers see how they compare to their competitors on overall NPS®, and on every step of the customer journey. Launched in 2019, NPS Prism has rapidly grown to a team of over 200, serving dozens of clients around the world. While NPS Prism is its own company, NPS Prism is 100% owned by Bain & Company, one of the top management consulting firms in the world and a company consistently recognized as one of the world’s best places to work. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive professionally and personally. Position Summary: NPS Prism has experienced tremendous growth as a standalone software and data business over the past few years and is making the leap from being a consulting-led business to a technology-led business. Given that shift, we are looking to build our team with world-class team members to help drive business growth to its full potential in this next phase. This is a great opportunity to help build the largest startup owned by Bain & Company and take NPS Prism into the future. Key Responsibilities: Independently owns the workstreams assigned to the individual and develops client ready visualization dashboards using tools like Tableau with minimum guidance Works with multiple stakeholders, across instruments and workstreams to provide expertise in data management Provides structured support to junior team members, including helping them understand tools, logic flows, and standard work practices Builds reusable capabilities and templates that improve team efficiency and scalability, ensuring that they are well documented and across service lines Analyze the data using tools like SQL, Alteryx, and Databricks Design and execute new benchmarking survey instruments, including assessing data needs and designing the primary research surveys and sample specification Respond to onshore team/client questions around the data and insights Translates complex technical concepts such as screener logics, dashboard workflows, and research methodologies into clear explanations for internal teams and client facing discussions Provide ongoing support for subscription customers, such as additional data cuts and responding to questions about the data/methodology with precision and speed Support commercialization efforts, including conducting data-driven analysis for proposals, building custom outputs, and conducting product demos with prospective clients Required Qualifications, Experience & Skills: Education: Required: Graduate/post graduate from top-tier institute or have pursued a statistical/analytical course from a tier 1 university Preferred: Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research Experience 2+ years of experience in areas related to Data Management, Business Intelligence or Business Analytics. Hands-on experience in managing end-to-end customer surveys, data analysis and visualizations Technical Skills Extensive hands-on experience with Tableau, with strong command of dashboard design, interactivity, and performance optimization Proven experience using Alteryx for data prep, transformation, and validation at scale Proficient in applying statistical and data mining techniques to derive meaningful insights from customer feedback and survey data Comfort with SQL and Python (preferred), especially for data manipulation, automation, or analytics tasks Other Skills: Proactive problem-solver with a strong sense of ownership and attention to detail Experience mentoring junior team members and contributing to collaborative team culture Excellent interpersonal, written, and verbal communication skills Comfort working in a hybrid or remote environment with distributed teams Demonstrates resilience and adaptability in navigating change and feedback Consistently seeks feedback and iterates to improve performance and team outcomes Powered by JazzHR e13WpNNOGf Show more Show less

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Position Description The purpose of this role is to serve as a trusted partner with Business Unit Medical Affairs and Internal Global Medical Affairs Organization (GMAO) teams to lead creation of high-quality data reporting and visualization support that can drive better customer experience and business impact. This role will champion our self-service reporting strategy and would play a key role in helping us automate and create scalable frameworks for our reporting and analytics. We are looking for a hands-on person who can help expand our analytics & reporting capabilities and drive business-critical initiatives. Key Objectives/Deliverables Know Lilly TA business and our internal business partners. Build and exhibit deep expertise on available data sets and supports data enabled decision making by developing data lakes, insights, reporting & visualization Execute and monitor operations tasks to ensure timely availability of data in a reporting / dashboard structure to the business. Perform thorough data validations to ensure data quality Respond to queries from internal stakeholders Consistently meet operations SLAs Perform incident resolution and root cause analysis to support data and reporting operations Consistent delivery of high quality, timely and insightful reports to enable stakeholders and senior leadership to take key decisions Develop and publish regularly, different execution dashboard as per the business roadmap & requirements Descriptive analytics and visualization to provide data-based insights on planning, execution and outcomes Demonstrate deep understanding of information and material flows, processes, procedures, systems, and methods Demonstrate understanding of internal business partners’ people, processes, and technology Partner and collaborate with other site-level teams to identify synergies and implementation of best practices Technical Skills Expertise in writing and debugging efficient SQL queries. Strong experience in data visualization tools - Power BI or Tableau (Power BI preferred) – Should be able to independently design and develop dashboards as per business requirement. Advanced MS-office skills (MS-Excel and MS-PowerPoint) Coding: SQL mandatory and one of R, Python would be good to have Analytical Skills Experience in business analytics Data cleaning and preparation skill (database querying, descriptive statistics) Problem solving skills and lateral thinking ability and an eye for detail Educational Requirements Bachelor’s or Master’s degree in sciences or quantitative discipline i.e. Finance, Econometrics, Statistics, Engineering or Computer Sciences Additional Preferences At least 7-9 years of evolving experience in data management, pharma market intelligence, performance reporting/visualization and/or descriptive analytics for leadership, with demonstrated results in understanding, structuring, and making sense of unfamiliar and messy datasets Experience with project management software (e.g., Wrike, JIRA, Adobe Workfront) and proficiency in a variety of PC applications and multifunctional diagramming tools including Microsoft Project, Visio, Lucid Chart etc. Strong work ethic and personal motivation Interpersonal and communication skills with ability to work across time zones. Strong stakeholder management skills Ability to operate effectively in an international matrix environment. Strong team player who is dynamic and result oriented Proven planning and organizational skills Proven ability to manage multiple projects at a time with flexibility to adjust quickly and effectively to frequent change and altered priorities Product Launch experience Demonstrated enthusiasm and the ability to work under pressure to meet deadlines Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly Show more Show less

What you will do You will be accountable for coordinating our delivery efforts across the internal and external team located in AIN and across India. In addition, the Director must manage relationships across a complex internal set of teams and functional groups This position reports to the Executive Director, Technology & Workforce Transformation and will be responsible for the following Responsibilities Key IntegratorAct as main point of contact and representative of the Tech and Workforce Transformation team in India Talent DevelopmentHire, train, develop, and manage talent to meet organizational needs Global CollaborationAct as the primary point of contact for GCC senior leadership in the US and the offshore team in India, either through our Contract teams or direct AIN FTEs OptimizationOversee analysis efforts to optimize workforce and resource allocation, driving efficiency across the business Operational Excellence and DeliveryOversee end-to-end delivery of core sales & marketing operations projects ensuring quality, scalability, and operational efficiency Offshore Vendor ManagementManage offshore teams including CWs, maintaining quality of service and timely deliverables Innovation LeadershipFoster a culture of innovation, ensuring the India team remains at the forefront of emerging technologies and trends in automation and AI Continuous ImprovementLead identifying and prioritizing areas of opportunity across the organization. Collaborate with cross-functional teams to implement organizational improvements. Automation lead the piloting, planning, and implementation of automation across the GCC portfolio of capabilities Business Impact & Collaborator ManagementEnsure capability solutions drive tangible business outcomes and collaborate with global key collaborators to refine requirements, measure impact, and report progress Financial managementOversee GCC budget associated with offshore work in India, ensuring best negotiated rates and overall value What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 4 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Masters degree and 14 to 16 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Bachelors degree and 16 to 18 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience Preferred Qualifications: Relevant sales, marketing, operations, and Bio/Pharmaceutical industry experience Innovative customer capability leadership experience Minimum 5 years of professional experience in operational effectiveness with consistent record of automation development and capability efficiencies Comprehensive understanding of the components of setting up data models and running scenario planning that match the business need Thorough understanding of tagging, Google Analytics, CRM, Content Management Systems, and other components of a Digital Marketing Ecosystem. Leadership experience in building and developing dedication teams, delivering results, and shaping the future Ability to foster and encourage an environment of openness and transparency in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation The ideal candidate will lead the creation of an automation and innovation forward culture that drives top-line growth, controls costs, and takes timely corrective action to reduce risks that derail plans Ability to think strategically about issues impacting an entire portfolio of therapeutics across geographies and stages of development Experience managing multiple senior key collaborators, prioritizing across a multitude of responsibilities and allocating resources to drive maximum impact Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management Comfortable challenging the status quo and bringing forward innovative solutions Ability to identify areas for process and systems innovation and implement change that will enhance the overall effectiveness of the team Comfortable working through and leading large-scale global change management Understanding of technology platforms and ability to partner with IS/IT, cross functional business leaders

Job Description The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . Responsibilities A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 5+ years of financial or non-financial risk industry experience. 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: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

As a Data Scientist you’ll be part of a team that is working on cutting edge machine learning models. You will work side by side with Analysts and Machine Learning Engineers and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, has a solid quantitative background and a good business understanding. About The Role Working in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. Prototyping diverse machine learning models, from credit scoring to recommendation engine. Researching & Development on how to improve our models, by using our vast amount and unique set of data. Actively contribute to taking Data Science at Kredivo to the next level. About You Minimum of 5 years of hands-on experience in risk modeling within the financial services industry or other similar industries and at least 2 years experience in managing a team. Strong domain expertise and solid understanding of financial products, risk metrics, and regulatory requirements. Understand risk modeling best practices and capable of delivering end-to-end, robust and impactful data products. Proven track record of delivering high-quality data products in a fast-paced, dynamic environment. Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Strong communication skills with the ability to convey complex concepts to both technical and non-technical audiences. Bonus Points (optional) For Masters, PhD or equivalent experience in a quantitative field (i.e, Mathematics, Statistics, Econometrics, Artificial Intelligence, Physics). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). Show more Show less

Job description About this role About this role BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock’s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs. About Aladdin Financial Engineering (AFE): Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin’s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform, and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. Role Overview: We are looking to hire a quantitative modeler (Analyst) to join our Portfolio Risk Modeling team. This team builds and maintains risk models and analytics, including linear factor models, Value-at-Risk (VaR) methodologies, volatility and covariance matrix estimation, and portfolio stress testing & scenario analytics. These models span a wide variety of asset classes including fixed income, equity, and private markets. The models utilize sophisticated econometric/statistical methods, and are used by traders, portfolio managers and risk managers at BlackRock and Aladdin clients for risk management, portfolio construction, regulatory reporting, compliance and performance attribution. This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions. This person is expected to join as an individual contributor and deliver on all aspects of model governance for our portfolio risk model suite and provide model governance representation to internal stakeholders and Aladdin clients. Key Responsibilities: Contribute to governance for Aladdin portfolio risk models including (but not limited to) equities, fixed income, commodities, derivatives, etc. Building and maintaining model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations Communicate (verbally and in writing) with internal stakeholders and external clients on model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations Backtesting, documenting, and guiding new models and methodologies through validation Partner with engineering teams to integrate portfolio risk models into state-of-art production systems Qualification 1-3 years of experience in quantitative field / statistical modeling. Experience with portfolio risk analytics and/or model governance is strongly preferred Advanced degree in a quantitative discipline – master’s degree in finance / economics / statistics / financial engineering / math finance, etc. Knowledge of investments, portfolio management, econometrics, and empirical asset pricing A strong background in quantitative research Hands-on experience with statistical software (e.g., Python, R) and strong background in programming. Proficiency with Python is strongly preferred Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus Ability to work effectively with a team of highly motivated individuals Time and project management skills Proven track record of guiding junior talent Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment Excellent communication and presentation skills #EarlyCareers Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Job Requisition # R246260

Positions Available: Faculty Teachers (BBA, B.Com, MBA, M.Com) Lucknow's Techno Group of Institutions We are seeking dynamic and experienced faculty members to join our team across various management and commerce programs. The ideal candidates will be passionate about teaching, research, and student mentorship, contributing to a vibrant academic environment. General Responsibilities (Applicable to all Faculty Positions): Deliver high-quality lectures, seminars, and practical sessions for assigned courses in BBA, B.Com, MBA, and M.Com programs. Develop and update course materials, lesson plans, and teaching methodologies in line with industry standards and university curriculum (AKTU/Lucknow University norms). Conduct continuous assessment of students, including examinations, assignments, and projects, and provide constructive feedback. Actively participate in departmental and institutional activities, including curriculum development, academic planning, committees, and accreditation processes. Engage in research, publish papers in reputable journals, and present at national/international conferences. Mentor and guide students on their academic and career paths, fostering their overall development. Maintain a professional and engaging classroom environment, promoting interactive learning. Specific Responsibilities (for MBA & M.Com Specializations):MBA - Human Resources (HR) Specialization: Teach core and elective subjects related to Human Resource Management, including but not limited to: Human Resource Planning Talent Acquisition & Management Performance Management & Compensation Industrial Relations & Labor Laws Organizational Behavior & Development HR Analytics Guide students on HR-related projects, case studies, and internships. Stay updated with the latest trends and best practices in the HR domain. MBA - Marketing Specialization: Teach core and elective subjects related to Marketing Management, including but not limited to: Marketing Strategy & Management Consumer Behavior Digital Marketing Brand Management Sales & Distribution Management Marketing Research & Analytics Guide students on marketing projects, campaigns, and industry-specific assignments. Keep abreast of evolving marketing technologies and strategies. MBA/M.Com - Statistics & Quantitative Techniques Specialization: Teach core and elective subjects related to Statistics and Quantitative Techniques, including but not limited to: Business Statistics Operations Research Business Analytics Decision Sciences Econometrics (for M.Com where applicable) Research Methodology Guide students in applying statistical and quantitative tools for business problem-solving. Stay updated with advancements in analytical techniques and software. MBA/M.Com - Finance & Accounts Specialization: Teach core and elective subjects related to Finance and Accounts, including but not limited to: Financial Accounting Managerial Accounting Financial Management Investment Banking & Financial Markets Corporate Finance Derivatives & Risk Management Taxation (for M.Com where applicable) Guide students on financial modeling, investment analysis, and accounting practices. Keep abreast of changes in financial regulations and market trends. Qualifications & Experience: For MBA & M.Com Programs: A Ph.D. in the relevant discipline (Management, Commerce, HR, Marketing, Finance, Accounts, Statistics, Quantitative Techniques) is highly preferred. Master's Degree (MBA/M.Com) with a minimum of 55% marks from a recognized university. UGC NET/JRF qualification is desirable. Minimum 4 years and maximum 10 years of teaching/industry experience at the postgraduate level. For BBA & B.Com Programs: Master's Degree (MBA/M.Com) with a minimum of 55% marks from a recognized university. UGC NET/JRF qualification is desirable. Minimum 4 years and maximum 10 years of teaching/industry experience. Proven record of research publications (for senior positions). Required Skills: Excellent communication and presentation skills (both written and verbal). Strong interpersonal and mentorship abilities. Proficiency in modern teaching methodologies and tools. Ability to work collaboratively in a team environment. Dedication to academic excellence and student success. Strong analytical and problem-solving skills. Job Type: Full-time Pay: ₹25,000.00 - ₹75,000.00 per month Schedule: Day shift Experience: Teaching: 5 years (Required) Work Location: In person

St. Xavier's College is looking for Assistant Professor in Economics to join our dynamic team and embark on a rewarding career journey Teach a range of courses in the department, at both the undergraduate and graduate levelsConduct original research in the field and publish findings in academic journals and at conferencesAdvise students and mentor junior faculty membersParticipate in department and university-wide committees, such as curriculum committees and search committeesPursue external funding opportunities to support research and teaching activitiesEngage in professional development activities to stay current in the field and enhance teaching skillsRequirements:A record of successful teaching and research, with a strong publication record in academic journalsAbility to teach a range of courses in the department, at both the undergraduate and graduate levelsStrong communication and interpersonal skills, with the ability to mentor students and junior faculty membersA commitment to continued professional development and growth M.Com. (Accounting & Finance) with minimum 55% marks, NET or SET or Ph.D (under Regulation 2009) qualified. (Competence in co-curricular activities may be preferred). Qualifying age limit is 37 (Thirty Seven) as on 01.01.2025 relaxabl

Designation: Current Affairs Faculty The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, preparing study material, making question papers, and any other work of similar nature assigned by the company. Key Responsibilities: 1. Instruction Delivery: Deliver engaging and interactive lectures, presentations, and discussions on various topics in economics, such as microeconomics, macroeconomics, econometrics, and economic theory. Utilize effective teaching methodologies and strategies to enhance student learning and comprehension. 2. Academic Support: Assist students in understanding complex economic theories, principles, and applications through individualized guidance and mentoring. Address student queries, provide clarification, and offer additional resources to support their learning needs. Essential Requirement: 1. Candidates with Economics Background will be preferred. 2. Proficiency in instructional design and delivery methods(content delivery). *Must have Access to digital smartboard* Type: Work from Home Work type: Full time / Part time / Per hour Show more Show less

Job Title: Specialty Development Practitioner Job Description: We are seeking an experienced and highly analytical Senior Data Scientist with a strong statistical background to join our dynamic team. You will be instrumental in leveraging our rich datasets to uncover insights, build sophisticated predictive models, and create impactful visualizations that drive strategic decisions. Responsibilities: Lead the end-to-end lifecycle of data science projects, from defining the business problem and exploring data to developing, validating, deploying, and monitoring models in production. Apply advanced statistical methodologies and machine learning algorithms to analyze large, complex datasets (structured and unstructured) and extract meaningful patterns and insights. Develop and implement robust, scalable, and automated processes for data analysis and model pipelines, leveraging cloud infrastructure. Collaborate closely with business stakeholders and cross-functional teams to understand their analytical needs, translate them into technical requirements, and effectively communicate findings. Create compelling and interactive dashboards and data visualizations to clearly present complex results and insights to both technical and non-technical audiences. Stay up to date with the latest advancements in statistics, machine learning, and cloud technologies, and advocate for the adoption of best practices. Skills Required: Statistics, Machine Learning, Data Science, Problem Solving, Analytical, Communications Skills Preferred: GCP, Google Cloud Platform, Mechanical Engineering, Cost Analysis Experience Required: 5+ years of progressive professional experience in a Data Scientist, Machine Learning Engineer, or similar quantitative role, with a track record of successfully delivering data science projects. Bachelor's or Master's degree in Statistics. A strong foundation in statistical theory and application is essential for this role. (We might consider highly related quantitative fields like Applied Statistics, Econometrics, or Mathematical Statistics if they have a demonstrably strong statistical core, but Statistics is our primary focus). Proven hands-on experience applying a variety of machine learning techniques (e.g., regression, classification, clustering, tree-based models, potentially deep learning) to real-world business problems. Must have strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, potentially TensorFlow or PyTorch). Hands-on experience working with cloud computing platforms (e.g., AWS, Azure, GCP) for data storage, processing, and deploying analytical solutions. Extensive experience creating data visualizations and dashboards to effectively communicate insights. You know how to tell a story with data! Solid understanding of experimental design, hypothesis testing, and statistical inference. Excellent problem-solving skills, attention to detail, and the ability to work with complex data structures. Strong communication, presentation, and interpersonal skills, with the ability to explain technical concepts clearly to diverse audiences. Experience Preferred: Experience working within the Automotive industry or with related data such as vehicle telematics, manufacturing quality, supply chain, or customer behavior in an automotive context. Experience with GCP services such as GCP Big query, GCS, Cloud Run, Cloud Build, Cloud Source Repositories, Cloud Workflows Proficiency with specific dashboarding and visualization tools such as Looker Studio, PowerBI, Qlik, or Tableau. Experience with SQL for data querying and manipulation. Familiarity with big data technologies (e.g., Spark, Hadoop). Experience with MLOps practices and tools for deploying and managing models in production. Advanced degree (PhD) in Statistics or a related quantitative field. Education Required: Bachelor's Degree Education Preferred: Master's Degree Additional Safety Training/Licensing/Personal Protection Requirements: Additional Information : Lead the end-to-end lifecycle of data science projects, from defining the business problem and exploring data to developing, validating, deploying, and monitoring models in production. Apply advanced statistical methodologies and machine learning algorithms to analyze large, complex datasets (structured and unstructured) and extract meaningful patterns and insights. Develop and implement robust, scalable, and automated processes for data analysis and model pipelines, leveraging cloud infrastructure. Collaborate closely with business stakeholders and cross-functional teams to understand their analytical needs, translate them into technical requirements, and effectively communicate findings. Create compelling and interactive dashboards and data visualizations to clearly present complex results and insights to both technical and non-technical audiences. Stay up to date with the latest advancements in statistics, machine learning, and cloud technologies, and advocate for the adoption of best practices. Job Type: Contractual / Temporary Contract length: 12 months Pay: ₹1,000,000.00 - ₹1,500,000.00 per year Education: Bachelor's (Required) Experience: Data science: 5 years (Required) Location: Chennai, Tamil Nadu (Required) Work Location: In person

About The Company At Teikametrics, already the leading Marketplace Optimization Platform, we’re building an operating system to optimize every aspect of a retailer's business - from advertising to inventory to pricing. We optimize billions of transactions for thousands of entrepreneurs and brands around the world selling on demand-marketplaces like Amazon, Walmart, and others, with future plans of extending to less traditional marketplaces like FB and Google. The Teikametrics Marketplace Optimization Platform uses proprietary econometrics and machine-learning data models packaged in a simple SaaS interface. We combine our best-in-class technology with coaching and support from our world-class teams based in Boston, MA, Seattle, WA, Bengaluru, India, Tel Aviv, Israel, and Hong Kong, China. We are looking for team members who are values-aligned, make an impact on our mission and thrive in our fast-growing organization. About The Role Teikametrics software engineers develop products that optimize billions of transactions for entrepreneurs and brands around the world. Our mission is to unlock growth for our customers on the most valuable marketplaces. As a Senior Software Engineer at our rapidly growing engineering team in India, you will help deliver on strategic technical products having a direct business impact, while collaborating cross-functionally with multiple teams. You will use your experience with modern cloud and software development practices to build products that improve every step of the seller experience. Leveraging the data-rich features of the eCommerce industry, you will develop products dealing with millions of data points to support the growth of the world’s most scalable eCommerce optimization platform. You lean on your passion for technology to suggest and make improvements to our tech stack and infrastructure. You love to learn, and equally love to share your knowledge with others. You are both a listener and a contributor. You are a great communicator and you take care to understand before making yourself understood. You love trying out new frameworks and libraries. How You'll Spend Your Time Write code architected for scalability and re-use. Have strong opinions on code structure and modularization. Collaborate with product and design to move fast on creating solutions to business problems Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive efficiencies Who You Are 2-5 years of experience in fast-paced, high-performance software engineering environments BS/MS/Ph.D. in Computer Science, EE, or equivalent Experience with modern Javascript application development, Node server frameworks (e.g. Koa or Express), and Typescript. Python, React or Webpack is a plus Familiarity with cloud computing environments, containers, CI/CD pipelines, best practices in quality, performance, and monitoring applications. Experience in any of the following – web application development, UNIX/Linux environments, distributed parallel systems, eCommerce applications Can contribute best practices and architectural leadership to our software development efforts Ability to communicate ideas effectively to achieve the right outcome for their team and customers Experience creating designs and participating in design reviews of related software A growth mindset and learning attitude – looking to constantly improve their skills, their knowledge of software, and their ability to get things done WE'VE GOT YOU COVERED Every Teikametrics employee is eligible for company equity Remote Work – flexibility to work from home or from our offices + remote working allowance Broadband reimbursement Group Medical Insurance – Coverage of INR 7,50,000 per annum for a family Crèche benefit Training and development allowance Press Reference About Teika Teikametrics’ Marketplace Optimization Platform, Flywheel 2.0, Adds AI-Powered Automation to Maximize Advertising Performance Across Marketplaces The job description is representative of typical duties and responsibilities for the position and is not all-inclusive. Other duties and responsibilities may be assigned in accordance with business needs. We are proud to be an equal opportunity employer. A background check will be conducted after a conditional offer of employment is extended. Show more Show less

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Description: The ideal candidate would be adept at understanding customer's business challenges and define appropriate analytics approach to design solution Should be able to convert mathematical/ statistics-based research/ academic literature into sustainable data science solutions This is a hands-on role, will be required to manage day to day delivery activities in executing analytics projects by analysing large volume of data Should have familiarity on solutions in core functional areas related to Promotion Effectiveness, Digital Marketing, Customer Relationship Management (CRM), Campaign Management & Data Insights etc. Evolve the approach for the application of machine learning/deep learning to existing program and project disciplines He / She would also be responsible for creating Business & technical presentations, reports etc. to present the analysis findings to the end clients and for business development This role requires excellent communication skills Must Have: Hands on experience in exploratory data analysis, A/B testing, Campaign Measurement and model building (end to end), customer Analytics, Loyalty and Promotions1-2 years in hospitality industry Tools: Databricks, Python, SQL, Experience on AWS platforms/Azure Excellent communication skills, both oral and written.Functional/Domain Experience:Good exposure to hospitality industry and their datasets Relevant Experience: 5+years of hands-on experience in Data Science Qualifications Educational Criteria:Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions OrMBA from Tier 1 institutions – Preferred Show more Show less

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Senior Data Scientist Location: Chennai Duration: 12 Months Work Type: Onsite Position Description: We are seeking an experienced and highly analytical Senior Data Scientist with a strong statistical background to join our dynamic team. You will be instrumental in leveraging our rich datasets to uncover insights, build sophisticated predictive models, and create impactful visualizations that drive strategic decisions. Responsibilities: Lead the end-to-end lifecycle of data science projects, from defining the business problem and exploring data to developing, validating, deploying, and monitoring models in production. Apply advanced statistical methodologies and machine learning algorithms to analyze large, complex datasets (structured and unstructured) and extract meaningful patterns and insights. Develop and implement robust, scalable, and automated processes for data analysis and model pipelines, leveraging cloud infrastructure. Collaborate closely with business stakeholders and cross-functional teams to understand their analytical needs, translate them into technical requirements, and effectively communicate findings. Create compelling and interactive dashboards and data visualizations to clearly present complex results and insights to both technical and non-technical audiences. Stay up to date with the latest advancements in statistics, machine learning, and cloud technologies, and advocate for the adoption of best practices. Skills Required: Statistics, Machine Learning, Data Science, Problem Solving, Analytical, Communications Skills Preferred: GCP, Google Cloud Platform, Mechanical Engineering, Cost Analysis Experience Required: 5+ years of progressive professional experience in a Data Scientist, Machine Learning Engineer, or similar quantitative role, with a track record of successfully delivering data science projects. Bachelor's or Master's degree in Statistics. A strong foundation in statistical theory and application is essential for this role. (We might consider highly related quantitative fields like Applied Statistics, Econometrics, or Mathematical Statistics if they have a demonstrably strong statistical core, but Statistics is our primary focus). Proven hands-on experience applying a variety of machine learning techniques (e.g., regression, classification, clustering, tree-based models, potentially deep learning) to real-world business problems. Must have strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, potentially TensorFlow or PyTorch). Hands-on experience working with cloud computing platforms (e.g., AWS, Azure, GCP) for data storage, processing, and deploying analytical solutions. Extensive experience creating data visualizations and dashboards to effectively communicate insights. You know how to tell a story with data! Solid understanding of experimental design, hypothesis testing, and statistical inference. Excellent problem-solving skills, attention to detail, and the ability to work with complex data structures. Strong communication, presentation, and interpersonal skills, with the ability to explain technical concepts clearly to diverse audiences. Experience Preferred: Experience working within the Automotive industry or with related data such as vehicle telematics, manufacturing quality, supply chain, or customer behavior in an automotive context. Experience with GCP services such as GCP Big query, GCS, Cloud Run, Cloud Build, Cloud Source Repositories, Cloud Workflows Proficiency with specific dashboarding and visualization tools such as Looker Studio, PowerBI, Qlik, or Tableau. Experience with SQL for data querying and manipulation. Familiarity with big data technologies (e.g., Spark, Hadoop). Experience with MLOps practices and tools for deploying and managing models in production. Advanced degree (PhD) in Statistics or a related quantitative field. Education Required: Bachelor's Degree Education Preferred: Master's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity. Show more Show less

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Description The ideal candidate would be adept at understanding customer's business challenges and defineappropriate analytics approach to design solution The ideal candidate should possess good communication and project management skills and can communicate effectively with a wide range of audiences, both technical and business Ability to accurately comprehend business requirements and being able to translate technical results into easily understood business outcomes The person should also be able to efficiently work with, or manage, an offshore team to produce outcomes in a timely manner. Previous experience working with the current offshore team would be really beneficial. The person should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models. Ideal candidate should have hands on experience using Machine Learning Techniques They should also have data extraction capabilities (SQL) and/or be able to understand and evaluate code relevant to data extraction Good knowledge of model development/data engineering experience using Python and R He / She would be responsible for creating Presentations, reports etc to present theanalysis findings to the end clients/stakeholders Should possess the ability to confidently socialize business recommendations and enable customer organization to implement such recommendations. Ideal candidate should be able to drive customer engagement and always exhibit thought leadership and provide value add Technical Experience (using Python):o Hands on experience in developing models (end to end) Logistic regression Clustering  Decision Tree Random Forest Support Vector Machine Naïve Bayes Gradient Boosting Machine Deep learning Natural Language Processingo Tools Python (mandatory), R (preferred) Experience processing large amount of data using BigData technologies is preferred Knowledge of any of the visualization tools like Tableau, R Shiny etc. is a plus Functional/Domain Experience:o Good exposure to Insurance domain Certifications/Analytics competitionso Recognized certifications in analytics technologies o Participations/solving Kaggle competitions Qualifications Educational Qualification:o Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or BE/B-Tech, MCA or MBA from Tier 1 institutions Relevant Experience: o 8+ years of hands on experience in executing analytics projects Show more Show less

Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals – from Idea to Plan to Done ✅ We are responsible for collaborative work management products including Microsoft Planner, Project, To Do, Whiteboard, and Visio. We are actively working to envision and create “The Future of Work” leveraging LLMs and Agentic AI to provide utility and value to our customers. As a Senior Applied Scientist in Path you will help drive the analysis and quality of the content our agentic system produces and design and conduct experiments to maximize what customers can do with our products. You will also provide consultation and expertise to product and engineering teams on how to structure telemetry, UI, and software design to bets leverage Ai capabilities. 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 You will master a broad area of research and understand applicable research techniques in NLP, modern LLMs, Agentic systems & multi-agent runtimes. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. You will design, build, experiment and optimize prompt libraries, curate golden eval sets to deliver high quality, high performance responsible AI features. You will review business and product requirements, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, at multiple points in the product cycle from ideation to shipping. Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 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

Sr. Business Analyst About Junglee Games With over 140 million users , Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 900 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job Overview As a Business Analyst - Strategy , you will work at the intersection of corporate, customer, MA, workforce, and operational strategy. You will work alongside Junglees leadership team to help them make decisions and implement enhancements to Junglee s organizations strategy, productivity, performance, and long-term profitability. You will have the opportunity to exercise strong analytical skills, solve complex business problems, and communicate your findings to executive audiences. You will work both independently and collaboratively with a team to analyze and distill information to hypothesize, test, and develop recommendations. Job Location Gurgaon Key Responsibilities Use primary and secondary research (i. e. consumer research, desk research, expert calls) to support the development and go-to-market for Junglee s near- and long-term strategy Synthesize data and research findings into insightful recommendations for the business, operations and leadership teams Take ownership of a wide range of data and analytical concepts and methodologies, including: Market sizing Competitive analysis Customer needs analysis / primary research Portfolio review (e. g. where to invest, where to divest) Forecasting / econometrics Serve as an internal research resource for the leadership team, handling ad-hoc requests for quick analyses and Excel models Own and report company-wide KPIs across the business functions Work cross-functionally across the organization, partnering with product, marketing, business insights and other teams on a variety of growth-focused projects Partner with the leadership and executive team to develop Junglee thought leadership. Qualifications Skills Required 1+ years of experience in an analytical and strategic role that requires synthesizing research and analysis into recommendations; candidates with experience in strategy and/or business operations at fast growing Series A/B companies are encouraged to apply Experience building business models and analyzing data in Excel/Google Sheets. (proficiency in SQL is also preferred) A strong writer and presenter who s equally at home writing a brief or creating a slide deck. You have a knack for finding creative or unusual research/data sources to solve a problem or answer a question, as you won t have many internal research databases/dashboards at your disposal You re intellectually curious and incredibly detail-oriented, with a penchant for over delivering on tight deadlines You can balance speed with thoroughness to get to high fidelity analysis quickly You thrive with the ambiguity and responsibility required in high growth startups` Be a part of Junglee Games to: Value Customers Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress, and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www. jungleegames. com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far Be A Junglee .

Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals – from Idea to Plan to Done ✅ We are responsible for collaborative work management products including Microsoft Planner, Project, To Do, Whiteboard, and Visio. We are actively working to envision and create “The Future of Work” leveraging LLMs and Agentic AI to provide utility and value to our customers. As a Senior Applied Scientist in Path you will help drive the analysis and quality of the content our agentic system produces and design and conduct experiments to maximize what customers can do with our products. You will also provide consultation and expertise to product and engineering teams on how to structure telemetry, UI, and software design to bets leverage Ai capabilities. 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 You will master a broad area of research and understand applicable research techniques in NLP, modern LLMs, Agentic systems & multi-agent runtimes. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. You will design, build, experiment and optimize prompt libraries, curate golden eval sets to deliver high quality, high performance responsible AI features. You will review business and product requirements, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, at multiple points in the product cycle from ideation to shipping. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 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.

Grade M3/M4/M5 Role Team Member - Credit Risk Analyst Department Risk Management Reporting Relationship Team Lead – Credit Risk Location Mumbai Role Requirements Credit Risk Analytics and Modelling – Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards – in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques. In depth understanding of the techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS, Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators. This is the main requirement of the role and the individual should have a good knowledge of this function. Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams. Develop Risk Dashboards and analytical reports for Senior Management. Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. Ensure reliability, integrity and consistency of reported and underlying data Pre-Requisites About 4 to 8 years of experience in a Bank, NBFC, Consulting Firm, Rating Agency in the areas of working PD, LGD, ECL, EAD. Exposure to risk reporting or financial reporting would be an advantage. Degree in statistics, mathematics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation would be an advantage. Experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful. Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. Above average to advanced excel skills Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage Skills and Knowledge CA or MBA with FRM preferred Understanding analysis of various types of credits Proven management and supervisory skills Excellent interpersonal skills, verbal/written communication skills and strong project management skills Above average to advanced excel skills Experience in working with Python, SQL or SAS would be an added advantage.

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Analyst- Decision Sciences Principal responsibilities Undertake model validation activities as dictated by the Global Model Risk Policy including the assessment of; model inputs, calculations, reporting outputs, conceptual soundness of the underlying theory and the suitability of the use for its intended purpose, relevance and completeness of data, qualitative information and judgements, documentation, and implementation of the model. Provide written reports detailing the results of validations highlighting issues identified during the validation. Validate remediation activities completed by the ILOD to ensure appropriate resolution of identified issues. Communicate technical model related information and results to Model Owners and Model Users through the course of a validation. Contribute to management, regulatory, and external confidence in all models used across the group. Deliver, high quality, timely validation reports that add value to the business. Requirements Worked on regulation in particular with FRTB, performed Bank wide plus desk level analysis to assess the impact of new regulation and support in quantitative impact study (QIS). Ensure that the FRTB IMA models meet their stated objectives by building robust risk factor eligibility test tools, NMRF SES and IMA ESF methodologies (expected shortfall methodologies) Have been involved in development and periodic update of proto-type models with special attention to the model related to Market risk VaR. Involved in creation of strategic tools for VaR/RNIV/Add-on/PnL Adjustment/Back testing using python to facilitate integration with FRTB implementation and offline calculation of risk numbers. Candidate should have experience in developing or validating Value at risk models using Greek based or Full Revaluation, PFE modeling for XVA, Incremental Risk charge (IRC) models etc Candidate should have theoretical understanding in Pricing- Derivatives/ Product Control and hedging models with focus on Interest rate, Equity, FX products Candidate should have experience in Stochastic Volatility modeling, calibration etc Minimum 1-5 years of experience of model validation/development experience in Risk Management in Market risk domain Must have background in financial mathematics knowledge such as stochastic calculus, numerical methods, probability theory, regression, time series analysis. Experience with some statistical modelling software / programming language e.g. Python, R, Matlab, C++, VBA. Experience of presenting recommendations to Senior Management. Experience of conducting independent model reviews. Team-oriented mentality combined with ability to complete tasks independently to a high-quality standard. Master’s or PhD degree in a quantitative discipline like Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics or Engineering. You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

1) Prepare and deliver lectures to undergraduate and/or graduate students on topics such as econometrics, price theory, and macroeconomics. 2) Prepare course materials such as syllabus, homework assignments, and handouts. Click here for Careers that match your Personality Type 3) Evaluate and grade students' class work, assignments, and papers. 4) Compile, administer, and grade examinations, or assign this work to others. 5) Keep abreast of developments in their field by reading current literature, talking with colleagues, and participating in professional conferences. Job Type: Part-time Pay: ₹150.00 - ₹200.00 per hour Schedule: Day shift Ability to commute/relocate: Dadar, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Teaching: 1 year (Preferred) Making lesson plans: 1 year (Preferred) total work: 1 year (Preferred) Language: English (Preferred)

Senior Applied Scientist Hyderabad, Telangana, India Date posted Jun 09, 2025 Job number 1826863 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals – from Idea to Plan to Done ✅ We are responsible for collaborative work management products including Microsoft Planner, Project, To Do, Whiteboard, and Visio. We are actively working to envision and create “The Future of Work” leveraging LLMs and Agentic AI to provide utility and value to our customers. As a Senior Applied Scientist in Path you will help drive the analysis and quality of the content our agentic system produces and design and conduct experiments to maximize what customers can do with our products. You will also provide consultation and expertise to product and engineering teams on how to structure telemetry, UI, and software design to bets leverage Ai capabilities. 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. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying live production systems, at multiple points in the product cycle from ideation to shipping. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. Responsibilities You will master a broad area of research and understand applicable research techniques in NLP, modern LLMs, Agentic systems & multi-agent runtimes. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. You will design, build, experiment and optimize prompt libraries, curate golden eval sets to deliver high quality, high performance responsible AI features. You will review business and product requirements, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. 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.

JD 1: SIS – DQM- NAM DQ team (C11) About us: Analytics Information management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: DQM team manages the implementation of best in class data quality measurement programs across globe in retail consumer bank. The critical areas we support: Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc Metrics Design: Identification of critical data elements in different systems, data quality rules design, Testing and validation of rules Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions. DQ Score cards: Publishing monthly/quarterly score cards at country level and preparing executive summary reports for senior management Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion Expertise Required: Analytical Skills Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights (Preferred) - Tools and Platforms Proficient in SAS, SQL Proficient in MS Excel, PowerPoint and VBA Preferred - Domain Skills Good understanding of Data definitions and data discovery Data quality framework Data Governance including identification of critical data elements, measuring and monitoring of CDE’s Process improvement experience pertains to compliance and data quality initiatives Hands on experience on KPI’s design, issue resolution and remediation activities Identification of control gaps and providing recommendations as per data strategy Measuring effectiveness of different DQ roll out programs (Preferred) - Knowledge of Finance Regulations, Understanding or Retail Business Soft Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process/project management skills Ability to work well across multiple functional areas Ability to thrive in a dynamic and fast-paced environment Educational and Experience: MBA / Master degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 5 to 8 years of hands on experience in delivering data quality solutions, with at least 2 year’s experience in Banking Industry ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting Show more Show less

Description Amazon Payment team creates and manages a global portfolio of products, including co-branded credit cards, installment financing, third party redemptions, and financial services marketplaces. Within this team we are looking for a BIE specifically for supporting Japan Payment Products. We are looking for a Business Intelligence Engineer with broad technical skills to build analytic and reporting capabilities to deliver on strategic analytical/reporting projects, define/produce end-to-end metrics that inform product, business, and marketing decisions and identify new growth opportunities through data-driven insights. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate crisply translates analysis result into executive-facing business terms. The candidate works aptly with internal and external teams to push the projects across the finishing line. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team. Key job responsibilities Core Responsibilities Includes But Not Restricted To Interfacing with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product, operations, and marketing decisions. Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling Evolve organization wide Self-Service platforms Building metrics to analyze key inputs to forecasting systems Leading complex analytical deep dives (Segmentation, A/B testing) Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Basic Qualifications Bachelor degree in computer science engineering, economics, statistics, mathematics, econometrics, or a similar quantitative field Demonstrated ability to interact with business customers, gather requirements and deliver complete scalable and sustainable BI solutions 5+ years work experience in analytics field and working with relational Databases Self-driven, and showcases ability to deliver on fast paced projects using extremely large data sets Fluency in SQL, and deep understanding of ETL is a must. Preferred Qualifications Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills Experience and ability to effectively gather information from multiple data sources and deliver on ambiguous projects with incomplete or dirty data Knowledge and direct experience using business intelligence reporting tools such as Tableau/QuickSight Experience working with redshift, Cradle or other AWS tools is a plus Hands On experience with Python, R is a plus 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: A2945836 Show more Show less