775 Econometrics Jobs - Page 3

About The Role : Job TitleQuant Analyst, AVP LocationMumbai, India Role Description Group Strategic Analytics: Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Treasury Strat's The candidate is required to work in collaboration with London/New York/Frankfurt team on various quantitative and regulatory driven projects. Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess a very good English communication skill in order to coordinate and communicate their work effectively with various stakeholders spread across globe. Role Responsibilities Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with ex External stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Your skills and experience Competencies Programming Skills At least 4 years experience in Python/C++ programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics Ability to work independently as well as flexibly within intra or inter-departmental groups. Continuous advancement of own skills and knowledge Can-Do attitude & Able to cope well under pressure and tight deadlines. Education/ Qualifications: Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) will be a plus Certification courses like CFA/FRM/CQ How well support you

We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Experience : 5 to 7 Years Work Location : Hyderabad Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 5+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity mode

With the increase in accessibility and usage of Machine Learning models, the standards that these models must adhere to are evolving at a rapid pace. The ML Model Risk team helps the developers adhere to these ever-evolving standards and regulations and helps them take a risk first approach to model development. Job summary : As a Machine Learning Model Risk VP within our Applied AI and Machine Learning organization, you will be part of a team focused on reducing model risk. You will ensure robust model development processes, apply machine learning and data science methodologies to financial markets, and collaborate with developers to reduce model risk. You will also guide models through the review process, evaluate new ML vendor tools, and ensure compliance with evolving ML development standards. This role provides an opportunity to participate in cutting-edge research and contribute to the development of our machine learning models. You will expected to guide and lead junior data scientists Job responsibilities: Participating in cutting edge research and applying machine learning and data science methodologies to financial markets and related operations Analyze the models through a risk-based lens and collaborate with developers to reduce model risk Provide feedback and collaborate with users and developers to ensure optimal development of ML models Develop and maintain a list of tests to validate various common techniques used to build Machine learning models Guiding models through the review process and enhancing and improving them as required Evaluate new ML vendor tools for usefulness, effectiveness and ease of deployment in CIB Understand the ever evolving ML development standards and processes and communicate with developers to ensure compliance Required qualifications, capabilities and skills : Master’s, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools Strong written and oral communication and interpersonal skills Strong Stakeholder & Project Management skills Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues Basic understanding of the company's business practices and familiarity with the company's products and services Preferred qualifications, capabilities and skills : Programming experience with Python; experience in MLOps would be a positive Experience with python programming and implementing machine learning techniques. Experience in Model Risk or Machine learning teams Experience in developing testing frameworks for ML models Experience in handling multiple stakeholders

We’re reinventing the market research industry. Let’s reinvent it together. At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. Responsibilities: Questionnaire scripting using specialist tools (QMob, Tivian) Making recommendations to our commercial teams on the most appropriate survey structure through a strong understanding of best practice, testing surveys and checking for quality. Data extraction and validation. Preparing and tabulating questionnaire results ready for analysis by project consultants. Delivering codebooks and raw data files to the analysts to create reports at the end of fieldwork. Ensure scripting processes and methodologies are followed, updating these when necessary. What You'll Bring to Numerator University Degree (Bachelor’s or Master’s Degree) in Statistics, Mathematics, Econometrics or equivalent quantitative fields - although not mandatory any similar academic background will be appreciated. English professional proficiency - minimum B2 Level is required. Knowledge or previous experience in data manipulation is required. Be able to write, read, comprehend, reason, and perform basic mathematic calculations and data analysis. Knowledge or previous experience with MS Excel (e.g. Advanced Formulas; Pivot Tables; Macros) is recommended. Previous experience or familiarity with coding in HTML, SQL or C# is beneficial. Spanish language professional proficiency a bonus Thorough and detail orientated with strong quality control Enjoys actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions. Is proactive, optimistic, and willing to get involved to achieve the team's goals and objectives. Is highly collaborative and adaptable with the ability to work effectively within different cultural and technical environments. Self-motivated and able to manage your time effectively and communicate quickly when issues arise. Possesses outstanding communication and interpersonal skills in order to comfortably connect with partners at all levels across the organization and facilitates discussions in a constructive manner.

Domain: Investment Facilitation , Market Research , Economic Development Education: Master’s in Economics / Development Economics or MBA in Finance, Economics , or related field Role Overview Seeking a motivated professional to support investment promotion and economic development initiatives through data-driven insights, stakeholder engagement, and strategy development. Key Responsibilities Use econometrics and modeling to assess policy impacts, GDP trends, and regional competitiveness Conduct sectoral research, investment climate assessments, and feasibility studies Analyze and visualize data using SPSS, Stata, R, and Excel; prepare clear presentations using PowerPoint Translate complex data into actionable policy recommendations for governments and investors Map investment opportunities across geographies and sectors, especially at the district level Engage with industry, government, and institutional stakeholders to build and support investment pipelines Develop investment strategies, policy notes, and customized pitch decks Navigate public systems to aid in investment facilitation and economic growth Must-Have Skills Strong analytical and research skills Hands-on experience with economic and statistical tools Excellent written and verbal communication Ability to work on multi-stakeholder projects and deliver high-impact outputs Skills: economics,r,economic development,statistical tools,stakeholder engagement,investment,powerpoint,research,excel,stata,econometrics,modeling,investment facilitation,spss,investment promotion,government,investment strategies,policy recommendations,high analytical skills,gdp trends,data analysis

About You You are an expert in applying advanced analytics to solve marketing and sales business problems. You are equally comfortable applying your knowledge to optimize marketing spend or working with sales to optimize trade spend. You are hands-on in your ability to build models, but you are also comfortable coaching less experienced team members in how to solve problems, or managing agencies to deliver where needed. You know that having a great model isn’t enough, you love to derive the “so what” from your models and tell compelling stories which inspire action and drive growth. A day in the life of... You’ll be responsible for using advanced analytics to provide robust measurements of marketing & trade investment across different business models, product categories and varied geographies. You will work closely with your stakeholders to provide guidance on how best to optimize and allocate marketing & trade investments in order to support the delivery of our commercial strategy. As part of this role you will need to : Share your experience & knowledge and build Nestlé’s internal modelling capability Partner with stakeholders to build and deliver a portfolio of advanced analytics initiatives Work closely with to identify and answer business problems/questions using appropriate modeling techniques on available data Evangelize and provide advisory services around data science capabilities and knowledge within Nestlé Work with large, complex data sets and solve non-standard problems What will make you successful Be educated to MSc level (or equivalent) in Math, Statistics, Physics, Operations Research, Econometrics or Data Science. Have proven experience of handling large datasets and reporting automation. Be able to demonstrate an excellent understanding of marketing mix modelling and price & promotion analytics. Experience with dynamic linear models/state space models is of particular interest. Have the ability to network and influence at senior levels both internally and externally. Be able to interpret data and explain business performance in an easy to understand way that tells a story to key stakeholders. Have proven experience of working in a matrix environment; achieving results through effective influencing and collaboration. Have advanced MS Excel, SQL, R, Python (or similar) experience Nestlé Nestlé enjoys a reputation as the world’s largest food and beverage company driven by our purpose - enhancing the quality of life of everyone, today and for generations to come. At Nestlé, we constantly explore and push the boundaries of what is possible with foods, beverages, and nutritional health solutions to enhance quality of life and contribute to a healthier future to better support individuals, families, communities and the planet. We have more than 2000 brands ranging from global icons to local favourites and are present in 190 countries worldwide. About IT in Nestlé We are a team of IT professionals from diverse cultures, genders and age groups in the world’s largest food and beverage company. We innovate every day through forward- looking technologies to create opportunities for Nestlé’s digital challenges with our consumers, customers, and employees. We have exciting positions in our new Nestlé global services operations based in Bangalore, which works alongside our Regional IT Hub in Sydney and Global IT hubs to provide technology services for Asia, Oceania, and Africa (AOA). This setup will design, implement, and maintain IT solutions and sharpen Nestlé’s focus in the growing areas of digital, analytics and innovation to support changing customer, consumer and shopper focus. When you join our IT team, you’ll have the opportunity to collaborate across local and global Nestlé teams and external partners to deliver innovative technologies that create tangible business value and contribute proactively to our sustainability goals. Our diversity brings fresh and innovative thinking to how we approach new and existing challenges while embracing different cultures, genders, sexual orientation, abilities and flexible ways of working.

As a Chair Professor in Economics at FLAME University, Pune, you will be part of the pioneer of liberal education in India. The School of Liberal Education is known for its interdisciplinary research and teaching approach, with strengths in various areas including Psychology, Sociology, Public Policy, Economics, Philosophy, and Literary and Cultural Studies. FLAME University offers undergraduate, postgraduate, and doctoral programs that provide students with rigorous interdisciplinary training and opportunities to advance their research activities and career aspirations. The School promotes intellectual freedom, curiosity, and academic integrity. We are seeking applications from individuals with expertise in theoretical and applied economics. While applicants from any area of Microeconomics, Macroeconomics, Econometrics, International Economics, Development Economics, or other applied areas in the field are welcome, we are particularly interested in applicants with a strong background in both theoretical and applied economics. The Chair Professor position requires a Ph.D. in a relevant area and a minimum of 15 years of teaching, research, or industrial experience. The successful candidate will be a well-known and accomplished scholar and researcher in the field. Endowed Chair Professorships at FLAME University are supported by generous contributions from philanthropists and industry partners. The endowment for the Chair Professor includes: - Excellent compensation and benefits - Support for hiring Research Assistants/Associates/Consultants - Research and travel funds - Student support for mentoring and supporting student research projects - Engagement with the public for promoting and disseminating research work - Computational facilities, books, and equipment for research activities The appointment for the Chair Professor position is for an initial term of 3 years, with the possibility of extension based on mutual agreement. To learn more about our teaching and research programs, please visit our website at https://www.flame.edu.in. For informal enquiries, please contact us via email at careers@flame.edu.in.,

Job Title: RSKRisk Methodology Group Job Code: 10735 Country: IN City: Mumbai Skill Category: Risk Description: Nomura Overview: Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com . Nomura Services, India supports the group s global businesses. With worldclass capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the group s global operations. At Nomura, creating an inclusive workplace is a priority. Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies & programs, providing infrastructure support and engaging in community events. Over time, we have made meaningful progress in these areas, and this commitment has been wellrecognized across the industry. We are proud recipients of the prestigious Top 10 Employers award by the India Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards. Division Overview: The Risk Management Division encompasses the firms comprehensive risk framework responsible for determining and managing the overall risk appetite for the firm. The division is responsible for effectively managing the firms riskreturn profile which ensures the efficient deployment of the firms capital. It is one of the firms core competencies and is independent of the trading areas and operational areas. Business Unit Overview: The Risk Methodologies Group (RMG) has the mandate to develop / enhance risk models in line with internal and regulatory requirements and to backtest VaR against Hypo and clean PnL. The methodologies side of the group has the critical task of owning all the risk models that are used for computing capital adequacy for the whole firm, and the backtesting group of adjusting and updating Hypo PnL using adjustments provided by various different systems. The group works extensively on the regulatory capital model, including the proposed regulation, fundamental review of trading book (FRTB). Position Specifications: Corporate Title Associate Functional Title Associate (MPM Analytics) Experience 3 5 years Qualification Master s in quantitative discipline (B.E / B. Tech+, M. Tech, MSc (Maths / Stats), Econometrics) Requisition No. 10735 Role & Responsibilities: Analyse and review the back testing exceptions with Risk managers (RM) and Product control (PC) and highlight deficiencies (if any) in the model. This involves performing an indepth analysis to identify the drivers and subsequently work on remediating the model issues. Create strategic quantitative tools to facilitate monitoring of valuation functions level performance on F ull revaluation vs SpotVol Grid vs Spot only Ladder vs Greek Only approach. Work closely with the RM, Risk Change/IT , and PC on the project related to FRTB IMA (desk level PLAT and BT requirements) Working on various Regulatory and MVG (Model Validation Group) requirement, this includes modelrelated IMA Hypothetic Portfolio Exercise findings by doing indepth analysis followed by model remediation tasks. Work on various development projects including developing new or enhancing existing MPM tools. Act as a subject matter expert for the risk models including an understanding of FRTB guidelines and providing support to the model users (i.e. Risk managers) and be a key point of contact with respect to such models. Provide necessary support to team during validation of Market Risk FRTB models by MVG /Audit including any model change on an ongoing basis . Execute routine BAU tasks efficiently and accurately within the established framework and agreedupon SLAs. This role centres on producing timely and accurate reports. It requires strong attention to detail, the ability to work efficiently under pressure, and a commitment to maintaining high standards in a fastpaced financial environment. The role demands adaptability to changing market conditions, including the willingness to extend work hours during periods of market volatility. Candidates should be prepared to adjust their schedules as needed to meet critical deadlines and operational requirements Mind Set: Mandatory Desired Domain 35 years of experience in Market risk/Product Control/Model Validation with good understanding of risk modelling. Good understanding of programming and database languages such as Python (Non Negotiable), SQL and Visualization tools like Power BI . Strong inclination to work in a hybrid setup which involves model development along with managing BAU deliverables. Good understanding of Market Risk metrics, FRTB backtesting and PLA test. A strong Mathematical/Statistical background. FRM/PRM/CFA certification would be added advantage . FRTB IMA Implementation experience will be an added advantage. Good understanding of FX products (FX options, FX forwards, NDFs and FX swaps) and risk management processes around them. We are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. We prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age. *Applying for this role does not amount to a job offer or create an obligation on Nomura to provide a job offer. The expression "Nomura" refers to Nomura Services India Private Limited together with its affiliates.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Advisory Services Financial Services Office – Financial Services Risk Management (FSRM) – Credit Risk – Manager Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications And Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 6 – 9 years of related work experience Complete, end-to-end understanding of credit risk model development, validation, audit and/or implementation for the banking book portfolio. Knowledge of Credit Risk and Risk Analytics techniques is desirable. Should have hands on experience in data preparation, manipulation and consolidation. Strong background in regulatory requirements such as IFRS 9, CCAR, CECL within model development/validation/audit domain Expertise in Stress Testing/DFAST PD/LGD/EAD models Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Should be able to take initiative and work independently with minimal supervision, if required Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression. Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR Proficiency in Java/C++ Experience in Data/Business Intelligence (BI) Reporting Good to have knowledge in Machine Learning models and its applications. Willingness to travel to meet client needs Previous project management experience EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Key Responsibilities:Academic & Teaching Excellence Teach core and elective courses in Microeconomics, Macroeconomics, Econometrics, Development Economics, Public Finance, International Trade, and related areas. Mentor and guide undergraduate, postgraduate, and Ph.D. students in research, dissertations, and projects. Design curriculum and syllabi in line with the latest industry and academic trends. Innovate pedagogical methods using ICT tools, case studies, and simulations. Research & Publications Lead advanced research initiatives and publish in high-impact Scopus / UGC CARE / SCI indexed journals. Secure research funding from national and international agencies (e.g., UGC, ICSSR, World Bank, etc.). Organize and participate in national and international conferences, workshops, and policy forums. Promote interdisciplinary and policy-relevant research. Leadership & Institutional Development Take a leadership role in departmental administration, strategic planning, and academic development. Supervise junior faculty and provide mentorship in research and teaching. Contribute to university committees, boards, and quality assurance activities (NAAC, NBA, NIRF, etc.). Build academic collaborations and MoUs with institutions and industry bodies. Community & Policy Engagement Engage in policy research and advisory roles with government bodies, NGOs, and think tanks. Represent the university in academic panels, media, and community outreach initiatives. Eligibility Criteria: Essential Qualification: Ph.D. in Economics from a recognized institution (as per UGC norms). Experience: Minimum 10 years of teaching/research experience in a university or reputed institution, with at least 3 years as an Associate Professor . Proven academic leadership, excellent teaching record, and at least 10 publications in peer-reviewed journals. Significant research contributions and completed guidance of Ph.D. scholars (minimum 1–2 awarded). Job Type: Full-time Pay: ₹22,351.99 - ₹70,000.00 per month Work Location: In person

Data Science Finance Analyst 1 Description - Job Summary This role is responsible for conducting advanced analytics within Finance business to generate breakthrough insights enabling critical business decision making. The role works on building, testing, and improving medium complexity analytics models involving descriptive, diagnostic and predictive statistics. The role combines knowledge of data mining, statistical modelling, mathematics, econometrics, advanced concepts and ability to utilize big data to generate actionable business insights. The role is involved in identifying or setting up new data sources, and cleaning/organizing data. Responsibilities Leverage Data Science and Digital Skills along with Finance Business Context to build innovative and intuitive solutions for business problems. Works with the team to mine data using modern tools and programming languages. Develops algorithms, performs small scale experimentation, builds data driven applications to translate data into intelligence, and develops solutions for solving business problems. Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data. Supports the implementation of models to uncover patterns and predictions creating business value and innovation. Works with the team to create stories with the data using visualization tools/methods. Assures accuracy, integrity, and compliance of cleansed data. Works with project team to understand problem statements, initiatives and directions from business. Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Collaborates and communicates with project team regarding project progress and issue resolution. Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports. Education & Experience Recommended BE/MTech/Bachelors or Masters in Mathematics/Statistics Typically has 0-3 years of work experience, preferably in ML, Data Science, AI, Data Engineering, Data Analytics, Mathematical/Statistical modeling. Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity Job - Finance Schedule - Full time Shift - No shift premium (India) Travel - Not Specified Relocation - Equal Opportunity Employer (EEO) - Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you d like more information about HP s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law Supplement

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 Overview: Responsible for leading data science initiatives, developing advanced analytics models and ensuring successful execution of data-driven projects for clients in the retail. Will work closely with key client stakeholders to understand their business challenges and leverage data science to deliver actionable insights that drive business growth and efficiency. Lead the design, development and implementation of advanced analytics models. Including predictive and prescriptive models for retail clients.Should be able to convert mathematical/ statistics-based research into sustainable data science solutions Candidate should be able to think from first principles to define & evangelize solutions for any client business problem Leverage deep knowledge of the retail to develop data-driven solutions that address industry-specific challenges. Apply AI/ML statistical methods to solve complex business problems and determine new opportunities for clients. Ensure project delivery of high-quality, actionable insights that drive business decisions and outcomes. Ensure end-to-end lifecycle (scoping to Delivery) of data science projects. Collaborate with cross-functional teams to ensure seamless project execution.Manage timelines, resources, and deliverables to meet client expectations and project goals. Drive innovation by exploring new data science techniques, tools, and technologies that can enhance the value delivered to clients. Strong hands-on experience with data science tools and technologies (e.g., Python, R, SQL, machine learning frameworks). Hand-on experience with a range of data science models including regression, classification, clustering, decision tree, random forest, support vector machine, naïve Bayes, GBM, XGBoost, multiple linear regression, logistic regression, and ARIMA/ARIMAX. 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. Preferred experience in areas such as time series analysis, market mix modelling, attribution modelling, churn modelling, market basket analysis, etc Good communication and project management skills. Should be able to communicate effectively to a wide range of audiences, both technical and business. Adept in creating Presentations, reports etc to present the analysis findings to key client stakeholders. Strong team management skills with a passion for mentoring and developing talent. Qualifications Educational Qualification:BTech/Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1-2 institutions Or BE/B-Tech, MCA or MBA

Who We Are Euromonitor International is the leading independent market research company; investigating and understanding what consumers want and need, helping businesses create products and services that cater to their preferences and trends. We are an organisation that champions flexibility, with opportunity to grow and be supported with continuous learning and development. What You Will Be Doing The team is currently looking for a Data Analyst to be jointly responsible for the data standardisation, modelling, and forecasting of various demographic, socio-economic, and macroeconomic data meeting client needs and deadlines. This role demands a high level of analytical skill, proactive problem-solving, and commitment to continuously improving data modelling and forecasting techniques, as well as exploring and implementing new methods to improve data comparability and quality. Key drivers - Analyze and manipulate datasets, carrying out calculations and numerical analysis using R. Standardize raw statistical data to ensure cross-source comparability. Extrapolate and interpolate data using both quantitative and qualitative methods to develop modelling and forecasting techniques. Monitor, review, and enhance data quality. Document all work processes to ensure team alignment and best practices. Liaise with sales and marketing departments and handle client queries. What You'll Need- Background in mathematics, econometrics, data science, statistics or similar fields. Proficiency in R. Basic knowledge of Python. Experience in data manipulation, statistical analysis and time series forecasting. Excellent communications skills and fluency in English (both oral & written). Strong organizational skills, creativity and attention to detail. Ability to work on own initiative. What you'll get - Professional Development: Grow your career with opportunities within a consultative and professional environment Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts (and more....!) Our Values We act with integrity We are curious about the world We are stronger together We seek to empower We find strength in diversity

Requirements: Candidates having exposure to the IT industry will be preferred. 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. Job Type: Full-time Pay: ₹30,000.00 - ₹45,000.00 per month Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Application Question(s): What's your current CTC? We're hiring on immediate basis, can you join us immediately? Experience: Customer support: 1 year (Required) Client servicing: 1 year (Required) Location: Gurugram, Haryana (Required) Work Location: In person Application Deadline: 05/07/2025

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager PURPOSE OF ROLE Understand and solve complex business problems with sound analytical prowess and help business with impactful insights in decision making Ensure any roadblocks in implementation is brought to the notice of Analytics Manager so that project timelines do not get affected Document every aspect of the project in standard way, for future purposes Articulate technical complexities to the senior leadership in a simple and easy manner KEY TASKS AND ACCOUNTABILITIES Understand the business problem and work with business stakeholders to translate that to a data-driven analytical/statistical problem; participate in the solution building process Create appropriate datasets and develop statistical data models Translate complex statistical analysis over large datasets into insights and actions Analyze results and present to stakeholders Communicate the insights using business-friendly presentations Help and mentor other Data Scientists/Associate Data Scientists Build a pipeline of the project in Databricks which is production ready Build dashboards (preferably in Power BI) for easy consumption of the solutions QUALIFICATIONS, EXPERIENCE, SKILLS Level Of Educational Attainment Required Bachelor’s/Master’s Degree in Statistics, Applied Statistics, Economics, Econometrics, Operations Research or any other quantitative discipline. Previous Work Experience Minimum 4-6 years’ experience in data science role in building, implementing & operationalizing end-to-end solutions Expertise strongly desired in building statistical and machine learning models for classification, regression, forecasting, anomaly detection, dimensionality reduction, clustering etc. Exposure to optimization and simulation techniques (good to have) Expertise in building NLP based language models, sentiment analysis, text summarization and Named Entity Recognition Proven skills in translating statistics into insights. Sound knowledge in statistical inference and hypothesis testing Microsoft Office (mandatory) Expert in Python (mandatory) Advanced Excel (mandatory) And above all of this, an undying love for beer! We dream big to create future with more cheers

Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work ® in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. About Corporate and Investment Banking As a global leader in knowledge processes, research, and analytics, you’ll be working with a team that specializes in global market research, working with the top-rated investment research organizations, bulge bracket investment banks, and leading asset managers. We cater to 8 of the top 10 global banks, working alongside their product and sector teams, supporting them on deal origination, execution, valuation, and transaction advisory-related projects. What you will be doing at Evalueserve- Work as an integral part of Private Equity Clients’ deal team and engage in frequent client interactions Analyze and identify potential targets for Private Equity Clients and drive the deal from initiation to end Build and update financial models including LBO and DCF as part of deal valuation and arrive at reasonable purchase price Assist in preparing investment memo (research, analysis, presentation development) Create marketing teasers / Information Memorandum for deals Quarterly update of precedents transactions list, public comps list Create due diligence analysis through slice and dice of data pack received from potential targets Maintain a deal tracker, scan through a data room and track items that have been uploaded / are pending Research on potential funding sources Assist with tracking investor outreach and follow-ups during active fund raises Assist with responding to lender requests and analyzing data Assist in updating investor portal Work independently on complex projects and deliver error-free outcomes, while maintaining high levels of efficiency and clear client communication Conduct on-the-job and off-the-job training sessions for new joiners and team members Employee friendly work culture and significant upside of managing multiple teams, driving business development as part of career progression What we’re looking for- Postgraduate preferably MBA (specialization finance & econometrics) / CFA / CA 2 to 8 years of financial/ private equity research experience with global clients Sound financial modeling skills, quantitative skills and strong in corporate finance skills Strong in creating power point presentations (Teasers/CIM) for deals Excellent written and oral communication skills Proficiency in databases – Factset, CapIQ, Bloomberg, Pitchbook Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.

Your journey at Crowe starts here. At Crowe, you can build a meaningful and rewarding career with real flexibility to balance work with life moments. You are trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. The Model Risk Senior Consultant will be responsible for performing consulting projects for a variety of financial services clients. This primarily includes consulting with clients about model risk management practices and providing model validation services, primarily for credit risk and treasury management (ALM)/finance related models. In addition, the role will also perform the following: - Complete key aspects of client service projects from planning to completion. - Become a trusted advisor to client management by providing appropriate recommendations and solutions. Able to make and sustain meaningful client relationships. - Support proposal and business development activities by identifying new target clients, building business relationships with key executives, and developing and presenting proposals. Qualifications: - Bachelor's degree in Finance, Statistics, Financial Engineering, or Economics or equivalent combination of education and experience. - 4+ years of experience of working in financial institutions, Big 4 or equivalent, or regulatory supervisory of financial institutions. - Working knowledge of model risk management regulatory guidance (SR 11-7, OCC 2011-12, FDIC FIL-22-2017). - Credit risk model types (e.g., CECL, PD/LGD, Roll Rate, Scorecards, Stress Testing, etc.). - Other model types (e.g., Asset Liability Management, Pricing, Mortgage Servicing Rights, etc.). - Direct experience performing model validations or model development, including concepts such as backtesting, stress testing, sensitivity testing, and benchmarking. - Technical knowledge about data processing, data storage, and data visualization. - A self-starter who can prioritize multiple tasks, be resourceful and able to research and find solutions. - Write and present to clients clear and concise reports and presentations containing meaningful recommendations. - Direct and deliver significant engagements that deliver value to clients through project management, creation of deliverables, and knowledge transfer. - Manages engagement to ensure quality and is delivered within budget. - Engagements are frequently conducted remotely. - This position requires travel up to 30%. Additional skills desired: - Solid analytical background and knowledge of econometrics. - Knowledge of risk ratings, risk rating/scorecard methodology, model governance, model development, CECL, DFAST, CCAR, and capital allocation methodology would be a plus. - Experience with statistical packages such as SAS, Matlab, Stata, Python, and R. - Experience with database management, such as SQL. - Experience with data visualization tools such as Microsoft Power BI, Tableau, QlikView. - Working towards or having professional certification preferred (e.g., RMA CRC, CFA, FRM). We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. Our Benefits: At Crowe, we know that great people are what make a great firm. We value our people and offer employees a comprehensive benefits package. How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. More about Crowe: C3 India Delivery Centre LLP, formerly known as Crowe Howarth IT Services LLP, is a wholly-owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting, and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world. Crowe does not accept unsolicited candidates, referrals, or resumes from any staffing agency, recruiting service, sourcing entity, or any other third-party paid service at any time. Any referrals, resumes, or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.,

The role involves providing academic leadership in the field of Economics through high-quality teaching, research, and service. You will contribute to curriculum development, mentor students and junior faculty, and engage in impactful research to support institutional and societal development. Key Responsibilities: Teaching & Learning: - Deliver undergraduate and postgraduate courses in Economics. - Design and update curriculum in alignment with academic and industry trends. - Use innovative teaching methodologies and tools to ensure effective learning. - Supervise dissertations, projects, and theses at undergraduate, postgraduate, and doctoral levels. - Conduct lectures, tutorials, seminars, and workshops. Research & Publication: - Undertake original research in Economics and publish in peer-reviewed journals. - Present research at national and international conferences. - Lead research projects and secure external funding. - Collaborate with industry and academic institutions for joint research. Academic Leadership: - Mentor and support the professional development of junior faculty. - Participate in faculty recruitment, training, and evaluation. - Contribute to strategic planning and departmental development. - Guide and lead academic committees and task forces. Student Mentorship & Development: - Provide academic guidance and mentorship to students. - Support students in career planning and higher education pursuits. - Facilitate student-led research and economics-based projects or clubs. Institutional Contribution: - Participate in accreditation, curriculum design, and policy formulation. - Engage in outreach, consultancy, and community-based economics programs. - Represent the department/university in academic and professional forums. Educational Qualifications: - Ph.D. in Economics from a recognized university. - M.A./M.Sc. in Economics with high academic standing. - UGC-NET qualification (if applicable under national norms). Experience: - Minimum 10 years of teaching/research experience in a reputed academic institution. - Proven record of published research in reputed national/international journals. - Experience in supervising Ph.D. scholars and guiding research teams. Functional Competencies: - Expertise in microeconomics, macroeconomics, econometrics, or development economics. - Strong research skills and data analysis proficiency. - Familiarity with statistical tools like STATA, R, SPSS, or EViews. - Ability to design interdisciplinary and application-oriented curriculum. Behavioural Competencies: - Academic integrity and professional ethics. - Leadership and team management abilities. - Strong communication and interpersonal skills. - Student-centric approach and mentoring capability. - Adaptability and openness to innovation in pedagogy.,

Job Summary This role is responsible for conducting advanced analytics within Finance business to generate breakthrough insights enabling critical business decision making. The role works on building, testing, and improving medium complexity analytics models involving descriptive, diagnostic and predictive statistics. The role combines knowledge of data mining, statistical modelling, mathematics, econometrics, advanced concepts and ability to utilize big data to generate actionable business insights. The role is involved in identifying or setting up new data sources, and cleaning/organizing data. Responsibilities Leverage Data Science and Digital Skills along with Finance Business Context to build innovative and intuitive solutions for business problems. Works with the team to mine data using modern tools and programming languages. Develops algorithms, performs small scale experimentation, builds data driven applications to translate data into intelligence, and develops solutions for solving business problems. Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data. Supports the implementation of models to uncover patterns and predictions creating business value and innovation. Works with the team to create stories with the data using visualization tools/methods. Assures accuracy, integrity, and compliance of cleansed data. Works with project team to understand problem statements, initiatives and directions from business. Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Collaborates and communicates with project team regarding project progress and issue resolution. Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports. Education & Experience Recommended BE/MTech/Bachelor's or Masters in Mathematics/Statistics Typically has 0-3 years of work experience, preferably in ML, Data Science, AI, Data Engineering, Data Analytics, Mathematical/Statistical modeling. Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, youll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role The position is responsible for managing credit risk Case setup, communications and FRP strategies for Consumer, SBS portfolio for the International markets. The role would specifically have direct functional responsibility for: Case Setup: Strategy to determine case setup strategies for further collection activities. Additionally partner with GSG to design and optimize treatment and collection strategies (e.g. how to collect a past due payment) Credit Communications: Design and own E2E Credit Notification strategies for both International Consumer & SBS portfolios NFC: Devise optimal No-further-charge strategies on CMs with a credit concern Collaborate closely with CCOs, Decision science, Credit operations, Compliance and Finance to deliver favorable business outcomes Minimum Qualifications Demonstrated experience driving and implementing credit risk management strategies Strong analytical acumen and problem solving skills Rigorous and analytical approach to problem-solving, decision-making, and prioritization Intellectual curiosity and learning agility needed to explore and evaluate new ideas Preferred Qualifications Advanced degree in statistics, econometrics, operations research, mathematics, computer science, engineering, or a related quantitative field of study

Associate Product Specialist ? Overview The Services organization is a key differentiator for Mastercard, providing cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Within Services, the Consumer Acquisition & Engagement team is a product-centric organization focused on developing, commercializing and enhancing differentiated offerings that leverage data and marketing technology to accelerate clients marketing performance and business outcomes. We are looking for passionate and talented professionals, who share our vision for data-driven marketing products to join us and take a leading role in shaping the growth of our team. Role: Associate Product Specialist (1-2 Years Experience) Location: Gurgaon Experience Level: 1-2 years Department: Analytics / Marketing Science / Data Science Employment Type: Full-time Job Summary We are seeking a results-oriented Marketing Analytics Specialist with 2 4 years of experience in data analytics, statistical modelling, and marketing insights. The ideal candidate is confident in owning complex analyses of A/B testing and portfolio optimization and can comfortably engage with senior stakeholders. Experience in financial services, banking, or payments is strongly preferred. Exposure to GenAI in marketing analytics will be an added advantage. Key Responsibilities Lead design and execution of A/B tests, campaign analytics, and test-control methodologies. Perform deep-dive analysis on customer journeys, marketing funnels, and portfolio performance. Develop predictive models to inform segmentation, personalization, and targeting strategies. Provide thought leadership in marketing measurement and performance optimization. Translate insights into business impact through crisp storytelling and stakeholder engagement. Basic qualifications Undergraduate degree with 1-2 years of analytical experience in consulting, analytics, or data science with a strong focus on marketing analytics. Proficiency in tools such as SQL, Python, R, or SAS. Strong foundation in A/B testing, test-control analysis, and statistical modelling. Proven ability to communicate insights effectively with clarity and executive presence. Experience with data visualization platforms (e.g., Tableau, Power BI). Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Logical, structured thinking and affinity for statistical and numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Background in banking, payments, or financial institutions. Experience working on digital marketing, lifecycle campaigns, or customer analytics. Exposure to or hands-on use of GenAI tools for marketing insight generation or automation. Master s degree in Data Science, Statistics, Econometrics, Marketing, or related field is a plus.

We are the computational advertising team in the AI & Research organization at Microsoft. We are looking for candidates with research and applied experience in machine learning related areas. Search advertising is a $100 billion market worldwide. Microsoft's Bing search engine supports over 30% of desktop search in the US, with similarly significant presence in many other countries. We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, image understanding, optimization, information retrieval, among others. Our work entails building large-scale machine learning systems for user response modelling, ranking, and a number of other ML-driven business problems. The Principal Applied Scientist will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets. They will collaborate with top machine learning scientists and engineers in delivering direct business impact. We're looking for sound understanding and insight into productionizing machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production 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 one or more subareas and gain expertise in a broad area of research. You’ll use your expertise to identify appropriate techniques for examining a problem and foster an audience for the product based on your understanding of the industry. You will review business and product requirements, identify problems, and develop strategies to resolve team problems. You’ll develop an understanding of tools and methods being used in the community and hold team members accountable to support business impact. You will share industry and competitive insights and build capabilities through coaching. You’ll provide guidance around best practices and collaborate with the academic community to develop the recruiting pipeline. You will document scientific work to ensure processes are captured. You’ll also contribute to ethics and privacy policies related to research processes by providing updates and suggestions around best practices. 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. Solid understanding of probability, statistics, machine learning, data science, A/B testing & analysis of ML models, and optimizing models for accuracy Experience with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models. Experience with end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production. Experience implementing machine learning algorithms or research papers from scratch Solid experience with TensorFlow/PyTorch and deep learning models is a prerequisite. 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. #MicrosoftAI 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.

Are you passionate about building intelligent systems that enhance productivity in Office applications? Do you have a strong foundation in machine learning, natural language processing (NLP), and software engineering? Join our team of Applied Scientists and engineers working at the forefront of generative AI to shape the future of productivity tools. 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 Applied Research & Development: Contribute to the design and implementation of machine learning models and algorithms for search, summarization, and content understanding in Office applications. Model Development: Build and fine-tune ML/DL models using frameworks like PyTorch or TensorFlow. Collaborate on deploying models in production environments with a focus on scalability and performance. Cross-Functional Collaboration: Work closely with engineering, product, and research teams to translate business needs into technical solutions and deliver impactful features. Experimentation & Evaluation: Conduct experiments, analyze results, and iterate on solutions to improve precision, recall, and user satisfaction. Innovation: Stay current with research trends in generative AI and NLP. Explore new signals, data sources, and modeling techniques to evolve intelligent systems and contribute to the Copilot ecosystem. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Minimun 1 year of industry experience in applied machine learning or data science roles. Proficiency in Python Experience developing and evaluating generative AI models. Familiarity with NLP techniques and content understanding. Strong verbal and written communication skills to explain complex technical concepts to diverse audiences. Ability to tackle open-ended problems and deliver practical, scalable solutions. Preferred Qualifications Proficiency in ML libraries such as PyTorch or TensorFlow. Experience deploying ML models in production environments. Exposure to full product lifecycle from prototyping to deployment and iteration. Contributions to research publications, patents, or open-source projects. 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.

Morgan Stanley Market Risk - Associate Profile Description We’re seeking someone to join our team as a [Asia Coverage] to [Market Risk team] Firm Risk Management In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyze and monitor risks and lead key regulatory initiatives. Company Profile Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Role & Responsibilities What you’ll do in the role: Identifying, assessing and monitoring risks related to the Firm's trading activities with initial focus on fixed income related products (FX, Rates). Supporting senior risk managers on a variety of tasks, which include, but not limited to, deal approvals, risk analysis, limit setting, and providing risk transparency Portfolio Analysis using exposures and VaR, creating risk summaries, and presenting risk updates to senior management. Monitor market risks limit utilization and escalate any breaches. Identify major Pnl drivers of the desk and helps with strategizing on portfolio optimization. Stay abreast of market trends, emerging risks, and macro-economic themes, understand the risks that get generated because of it. Participate in designing topical scenarios to estimate capital efficiencies and make risk management processes more robust. Clearly communicate infrastructure requirements to subject matter experts in our Technology team. Build and advice the team on tooling for efficient risk management. Qualifications/Skills Required What you’ll bring to the role: To be successful, candidates will benefit from relevant experience, a strong desire to lean and the ability to work in a small specialized team. 4 or more years of experience preferably in Market Risk management. Good Understanding of risk management concepts and financial products across asset classes especially Fixed Income. Understanding of market dynamics and macro-economic themes. Balance between regular and development / ad-hoc related tasks. Excellent writing and presentation skills to effectively communicate with senior management. Proficiency in MS Office (excel, word and power point). Strong quantitative skills acquired from disciplines such as engineering, statistics/econometrics, or finance. Ability to work in a small team environment, building and maintaining a network of contacts and coordinating with multiple stakeholders Prior experience with macro risk management and good understanding of concepts of VaR. Familiarity with PowerBI FRM/CFA or any other relevant certification course. Quantitative skills with respect to macro-economic model Proficient in Python, SQL, VBA What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Insights & Analytics ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZS’s capabilities; Guide and mentor Associates on teams. What You’ll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. 2-4 years of relevant post-collegiate job experience. A PhD may substitute in lieu of work experience. High motivation, good work ethic, maturity and personal initiative. Strong oral and written communication skills. Empathy, adaptability and emotional intelligence. Close attention to detail, with a quality-focused mindset. Self-discipline for planning and organizing tasks. Aptitude for, and enjoyment of, working in teams. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com