775 Econometrics Jobs - Page 10

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Master's degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases.

Company Description Welcome to ISBF – where academic excellence meets global recognition! Elevate your education with a University of London Degree, shaped by the prestigious London School of Economics (LSE) curriculum. Role Description This is a visiting faculty on-site role as an Econometrics and Statistics Faculty Member at the Indian School of Business and Finance in Delhi, India. The role involves teaching Econometrics and Statistics courses, conducting research, mentoring students, and participating in academic and institutional committees and activities. Qualifications Minimum: Master’s Degree in Economics, Statistics from a reputed university Experience in teaching Advanced Econometrics and Statistics courses at the undergraduate or graduate level Well versed with concepts like Instrumental Variables, Panel Regression, Time Series Analysis, Maximum Likelihood Estimation techniques etc in order to cater to an International Curriculum. Proficiency in statistical software such as R, Stata, or SPSS Excellent communication, presentation skills and in depth knowledge of concepts to build a strong intuition for the students Ph.D. in Statistics, Economics, or a related field is desirable.

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

Senior Data & Applied Scientist Noida, Uttar Pradesh, India Date posted Jul 14, 2025 Job number 1844835 Work site Microsoft on-site only Travel None Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Do you want to be on the leading edge of using big data and help drive engineering and product decisions for the biggest productivity software on the planet? Office Product Group (OPG) has embarked on a mission to delight our customers by using data-informed engineering to develop compelling products and services. OPG is looking for an experienced professional with a passion for delivering business value with data insights and analytics to join our team as a Data & Applied Scientist. We are looking for a strong Senior Data Scientist with a proven track record of solving large, complex data analysis problems in a real-world software product development setting. Ideal candidates should be able to take a business or engineering problem from a Product Manager or Engineering leader and translate it to a data problem. This includes all the steps to identify and deeply understand potential data sources, conduct the appropriate analysis to reveal actionable insights, and then operationalize the metrics or solution into PowerBI dashboards. You will be delivering results through innovation and persistence when similar candidates have given up. 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: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec OR equivalent experience. 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Preferred Qualifications: 7+ years of experience involving programming with languages Python/R and hands on experience using technologies such as SQL, Kusto, Databricks, Spark etc. 7+ years of experience working with data exploration and data visualization tools like PowerBI or similar. Candidate must be able to communicate complex ideas and concepts to leadership and deliver results. Candidate must be comfortable in manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems. Bachelors or higher degrees in Computer Science, Statistics, Mathematics, Physics, Engineering, or related disciplines. Responsibilities Dashboard Development and Maintenance: Design, build, and maintain interactive dashboards and reports in PowerBI to visualize key business metrics and insights. Work closely with stakeholders to understand their data visualization needs and translate business requirements into technical specifications. Data Extraction and Analysis: Perform ad-hoc data extraction and analysis from various data sources, including SQL databases, cloud-based data storage solutions, and external APIs. Ensure data accuracy and integrity in reporting and analysis. Deliver high impact analysis to diagnose and drive business critical insights to guide product and business development. Metric Development and Tracking: Be the SME who understand landscape of what data (telemetry) are and should be captured Advice feature teams on telemetry best practices to ensure business needs for data are met. Collaborate with product owners and other stakeholders to define and track key performance indicators (KPIs) and other relevant metrics for business performance. Identify trends and insights in the data to support decision-making processes. User Journey and Funnel Analysis: Assist product owners in mapping out user journeys and funnels to understand user behavior and identify opportunities for feature improvement. Develop and implement ML models to analyze user journeys and funnels. Utilize a variety of techniques to uncover patterns in user behavior that can help improve the product. Forecasting and Growth Analysis: Support the forecasting of key results (KRs) and growth metrics through data analysis and predictive modeling. Provide insights and recommendations to help drive strategic planning and execution. 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.

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Additional Job Description Non-functional skill requirements: In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of 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 Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement For Senior Positions Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus

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

Job Description The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Ab Initio Data Engineer We are looking for Ab Initio Data Engineer to be able to design and build Ab Initio-based applications across Data Integration, Governance & Quality domains for Compliance Risk programs. The individual will be working with both Technical Leads, Senior Solution Engineers and prospective Application Managers in order to build applications, rollout and support production environments, leveraging Ab Initio tech-stack, and ensuring the overall success of their programs. The programs have a high visibility, and are fast paced key initiatives, which generally aims towards acquiring & curating data and metadata across internal and external sources, provide analytical insights and integrate with other Citi systems. Technical Stack: Ab Initio 4.0.x software suite – Co>Op, GDE, EME, BRE, Conduct>It, Express>It, Metadata>Hub, Query>it, Control>Center, Easy>Graph Big Data – Cloudera Hadoop, Hive, Yarn Databases - Oracle 11G/12C, Teradata, MongoDB, Snowflake Others – JIRA, Service Now, Linux, SQL Developer, AutoSys, and Microsoft Office Responsibilities: Ability to design and build Ab Initio graphs (both continuous & batch) and Conduct>it Plans, and integrate with portfolio of Ab Initio softwares. Build Web-Service and RESTful graphs and create RAML or Swagger documentations. Complete understanding and analytical ability of Metadata Hub metamodel. Strong hands on Multifile system level programming, debugging and optimization skill. Hands on experience in developing complex ETL applications. Good knowledge of RDBMS – Oracle, with ability to write complex SQL needed to investigate and analyze data issues Strong in UNIX Shell/Perl Scripting. Build graphs interfacing with heterogeneous data sources – Oracle, Snowflake, Hadoop, Hive, AWS S3. Build application configurations for Express>It frameworks – Acquire>It, Spec-To-Graph, Data Quality Assessment. Build automation pipelines for Continuous Integration & Delivery (CI-CD), leveraging Testing Framework & JUnit modules, integrating with Jenkins, JIRA and/or Service Now. Build Query>It data sources for cataloguing data from different sources. Parse XML, JSON & YAML documents including hierarchical models. Build and implement data acquisition and transformation/curation requirements in a data lake or warehouse environment, and demonstrate experience in leveraging various Ab Initio components. Build Autosys or Control Center Jobs and Schedules for process orchestration Build BRE rulesets for reformat, rollup & validation usecases Build SQL scripts on database, performance tuning, relational model analysis and perform data migrations. Ability to identify performance bottlenecks in graphs, and optimize them. Ensure Ab Initio code base is appropriately engineered to maintain current functionality and development that adheres to performance optimization, interoperability standards and requirements, and compliance with client IT governance policies Build regression test cases, functional test cases and write user manuals for various projects Conduct bug fixing, code reviews, and unit, functional and integration testing Participate in the agile development process, and document and communicate issues and bugs relative to data standards Pair up with other data engineers to develop analytic applications leveraging Big Data technologies: Hadoop, NoSQL, and In-memory Data Grids Challenge and inspire team members to achieve business results in a fast paced and quickly changing environment Perform other duties and/or special projects as assigned Qualifications: Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 5 years of experience Minimum 5 years of extensive experience in design, build and deployment of Ab Initio-based applications Expertise in handling complex large-scale Data Lake and Warehouse environments Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. - Job Family Group: Technology - Job Family: Applications Development - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 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 Citi’s EEO Policy Statement and the Know Your Rights poster.

Enterprise Technology Group 1003 Job Description Job Title: Head – Data and AI , Enterprise Technology Group Purpose: To lead and build a strong data analytics and AI team that aims to drive the company towards becoming a data-first and data-driven organization by delivering and maintaining smart data-driven solutions crucial for growth and operations. The individual will accelerate the adoption and implementation of AI solutions to enhance efficiency, innovation, and competitive advantage. The position also involves managing all aspects of new data and AI projects from inception to delivery, as well as day-to-day operations, with a strong focus on assessing business value, ROI and reduce cost. Education: Bachelor's or Master's degree in Computer Science, Math / Quantitative Methods / Econometrics / Information Systems Experience and Proficiency : 10+ years of overall technology experience with years in data and years in AI/data science Preferred Skills: Programming languages: Python, R or likes Understanding of algorithms like linear regression, logistic regression, decision and regression trees, random forest, boosting algorithms (e.g., XGBoost), k-means, hierarchical clustering, and principal component analysis Understanding of data science concepts: Statistics, probability, data transformation, visualization, storytelling, deep learning Statistical and Mathematical Methods: Application of statistics and prominent statistical models Good understanding of Data & AI technologies/tools: ML Ops, ETL, data lake, graph databases, NLK, Data Optimization Location: Mumbai – Full-Time work from Office Reporting Relationship: Head – Enterprise Technology Group Business/Channel/Function: Enterprise Technology Group Key Responsibilities: Lead and build a strong data analytics and AI team over time and this should become possible organically by being able to demonstrate value Provide guidance and establish best practices and methodologies for data analytics and responsible AI initiatives. Manage and oversee stages of AI and LLM Projects, from initial assessment to implementation. Build and maintain close working relationships with the Business and Functions Process Owners to gather specific requirements and define the scope of work. Collaborate closely with internal staff, users, and third parties to ensure success. Develop and implement advanced models and algorithms to solve complex business problems. Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements. Stay updated with the latest advancements in AI and LLM technologies and apply them to enhance project outcomes Behavioural Strengths: Excellent analytical, problem-solving, and decision-making skills. Proven ability to lead and inspire teams, driving innovation and achieving results. Exceptional communication and collaboration skills, with the ability to work effectively with diverse stakeholders. Why join us? CulverMax Entertainment Pvt Ltd (Formerly known as Sony Pictures Networks India) is home to some of India’s leading entertainment channels such as SET, SAB, MAX, PAL, PIX, Sony BBC Earth, Yay!, Sony Marathi, Sony SIX, Sony TEN, SONY TEN1, SONY Ten2, SONY TEN3, SONY TEN4, to name a few! Our foray into the OTT space with one of the most promising streaming platforms, Sony LIV brings us one step closer to being a progressive digitally led content powerhouse. Our independent production venture- Studio Next has already made its mark with original content and IPs for TV and Digital Media. But our quest to Go Beyond doesn’t end there. Neither does our search to find people who can take us there. We focus on creating an inclusive and equitable workplace where we celebrate diversity with our Bring Your Own Self Philosophy. We strive to remain an ‘Employer of Choice’ and have been recognized as: India’s Best Companies to Work For 2021 by the Great Place to Work® Institute. - 100 Best Companies for Women in India by AVTAR & Seramount for years in a row - UN Women Empowerment Principles Award 2022 for Gender Responsive Marketplace and Community Engagement & Partnership ET Human Capital Awards 2023 for Excellence in HR Business Partnership & Team Building Engagement ET Future Skills Awards 2022 for Best Learning Culture in an Organization and Best D&I Learning Initiative. The biggest award of course is the thrill our employees feel when they can Tell Stories Beyond the Ordinary!

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. We are looking for a seasoned Data Scientist – Manager to lead advanced analytics initiatives and drive data-driven decision-making across the organization. The ideal candidate combines deep expertise in statistical modeling, machine learning, and modern data science techniques with strong business acumen and leadership skills. The role involves solving complex problems, building scalable models, and integrating advanced AI solutions into business workflows. Key Responsibilities Data Science Leadership: Lead a team of data scientists and analysts in designing, developing, and deploying machine learning models and statistical algorithms. Mentor team members, promoting best practices in experimentation, coding, and model evaluation. Translate business problems into structured analytical solutions using robust quantitative methods. Model Development & AI Integration Develop predictive and prescriptive models using regression, tree-based methods (e.g., Random Forest), LSTM, and reinforcement learning techniques. Apply deep learning and large language models (LLMs) to extract insights from structured and unstructured data. Work closely with engineering teams to productionize models and embed them into digital products and services. Advanced Analytics & Statistical Inference Perform exploratory data analysis, sampling, and inferential testing to identify trends and actionable insights. Use econometric and time series techniques to forecast and evaluate impact, especially in economic or behavioral contexts. Apply PCA and other dimensionality reduction techniques to handle high-dimensional data. Cloud & Data Infrastructure Collaborate with data engineering teams to access and leverage data from cloud platforms (AWS, GCP, Databricks). Utilize SQL, R, and Python to extract, clean, and manipulate large datasets from relational (RDBMS) and NoSQL (e.g., MongoDB) databases. Stakeholder Engagement & Strategic Impact Partner with business stakeholders to define analytical objectives and communicate findings with clarity. Lead data science strategy and roadmap development to ensure alignment with organizational goals. Drive innovation by exploring and implementing state-of-the-art methods in AI and machine learning. Required Skills And Experience 8+ years of experience in data science, with deep proficiency in Python, SQL, and statistical modeling. Proven experience developing and deploying ML models, including deep learning and time series forecasting. Expertise in cloud platforms and data pipeline integration for scalable model delivery. Strong understanding of statistical inference, econometrics, and experimental design. Experience with LLMs and advanced language models is a plus. Excellent problem-solving, communication, and team leadership abilities. Qualifications Master’s or PhD in Data Science, Computer Science, Statistics, Economics, or a related field. Demonstrated ability to lead data science projects from concept to deployment. Strong track record of delivering impact through data science in complex business environments.

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Additional Job Description Non-functional skill requirements: In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of 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 Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement For Senior Positions Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Fraud/AML Risk Analytics Professional Job Specification Candidate would be responsible for developing, validating, auditing and maintaining AI/ML/NLP models for Fraud/AML/Credit risk. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives. Multiple positions required; Experience level 3-7 years of experience; Location: Bangalore Core Skill Requirements Requirements Candidate must have relevant experience in Machine Learning/Artificial Intelligence, Natural Language Programming, Statistical / Mathematical modeling, quantitative research, Fraud/AML risk management, or related Credit Risk field at a reputed bank, fintech, or a consulting firm. Wider skill requirements include: Experience in Machine learning algorithms like Random Forest, SVM, Neural Network etc. and Artificial Learning use cases such as Natural Language Processing, Robotics etc. AML Scenario development, enhancement. Initial threshold setting and tuning. Proficiency in one or more analytical tools such Python, PY Spark, Data Science and cloud-based analytics etc. Experience in Model Development, Model Validation, Model Audit (implementation and execution experience will not be considered directly relevant) Business knowledge in transaction monitoring system, sanction screening, trade surveillance. Supports and/or runs global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities. Strengthen AML knowledge, Process Governance & Controls. Support Regulatory exams, Internal Audit, Compliance Assurance test, Self-identified issues / findings. Identify, assess, actively manage and control the risks that could come from our business, operational and organizational decisions. Develop and leverage innovative features and algorithms to drive down false positives and identify perceived threat across the firm Utilize traditional statistical analytics, graph theory / network science, ensemble methods and the like Natural language processing, text analytics, factors analysis / construct development and testing, machine learning feature development and engineering, etc. Prior experience in domains like AML/ Financial Crime analytics and strong knowledge of fraud data analysis and development, strategy design and delivery deployment. Non-functional Skill Requirements In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of 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 Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement For Senior Positions Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus

A career in our Model Risk and Validation practice, within Risk Data and Analytics services, will provide you with the opportunity to help our clients develop a strategic and sustainable approach to harness the value of their data and drive business results. We work with organisations across industries to develop customised, cost effective technology solutions that focus on delivering the relevant, actionable intelligence that executives need to understand operations and manage critical risks. As part of the team, you’ll help organisations manage the deployment and maintenance of complex models used for risk management and valuation. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Market and Counterparty Risk Analytics Professional Job Specification: Candidate would be responsible for developing, validating, auditing market risk valuations/models and counterpart credit risk models for trading, investment and corporate portfolios of global financial institutions. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives. Multiple positions required; Experience level 10-15 years years of experience; Location: Bangalore Core Skill Requirements Requirements Candidate must have relevant experience in in statistical / mathematical modeling, quantitative research, counterparty and market risk management, or related field at a reputed bank, investment or broker services, asset management firm or a consulting firm. Wider skill requirements include: Independently built and managed quantitative market and counterparty risk analytical models Strong experience/knowledge in at least some of the following areas (in quant space) Counterparty Credit Risk (PFE, CVA, XVA) Pricing and valuation - Derivatives (across one or more asset classes) Modeling of Risk Metrics (e.g, EPE, PFE, RWA, Greeks) Market Risk Scenarios and Stress Testing Development, prototyping and back-testing of Monte Carlo Credit Exposure Models o Incremental default risk, specific risk charge and stressed VaR o Worked on multiple Market Risk Models like to develop/review calculation of VaR(Historical, Parametric and Monte Carlo), RNiV, CCAR, IRC Model Validation/ development and present value for various type of instruments using any statistical tool Strong experience/knowledge in at least some of the following areas (business knowledge) Good knowledge of market risk concepts: Risk Factor, VAR, Earning at Risk, cash flow at risk, ETL, PV01, Independent Validation, Exotic derivatives, FX, Interest rate derivatives, volatility, commodities, credit derivatives, Fixed income, Hull & White, Monte Carlo simulation, Capital calculations Knowledge and experience with counterparty risk concepts (PFE,SA-CCR, EPE etc Leveraging experiential know-how of a wide range of financial products like Equity, Derivative, Swaps, IR, Credit derivatives, OTC products, Swaps, Securitization, CDO's etc. Knowledge of one or more of global regulatory Topics BASEL II/III, IFRS 9, CCAR/DFAST, CECL, FRTB, SR-11/7 around data sufficiency, modeling methods, industry standards etc. Assisted clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Programming and Algorithms: R, Python, SAS, Matlab, Scala, VBA etc. Experience with with Murex, QRM, Reuters, FINCAD, Bloomberg and Algo is a plus Non-functional Skill Requirements In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of 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 Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement For Senior Positions Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus

A career in our Model Risk and Validation practice, within Risk Data and Analytics services, will provide you with the opportunity to help our clients develop a strategic and sustainable approach to harness the value of their data and drive business results. We work with organisations across industries to develop customised, cost effective technology solutions that focus on delivering the relevant, actionable intelligence that executives need to understand operations and manage critical risks. As part of the team, you’ll help organisations manage the deployment and maintenance of complex models used for risk management and valuation. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Fraud/AML Risk Analytics Professional Job Specification As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Candidate would be responsible for developing, validating, auditing and maintaining AI/ML/NLP models for Fraud/AML/Credit risk. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives. Multiple positions required; Experience level 12-15 years of experience; Location: Bangalore Core Skill Requirements Candidate must have relevant experience in Machine Learning/Artificial Intelligence, Natural Language Programming, Statistical / Mathematical modeling, quantitative research, Fraud/AML risk management, or related Credit Risk field at a reputed bank, fintech, or a consulting firm. Wider skill requirements include: Experience in Machine learning algorithms like Random Forest, SVM, Neural Network etc. and Artificial Learning use cases such as Natural Language Processing, Robotics etc. AML Scenario development, enhancement. Initial threshold setting and tuning. Proficiency in one or more analytical tools such Python, PY Spark, Data Science and cloud-based analytics etc. Experience in Model Development, Model Validation, Model Audit (implementation and execution experience will not be considered directly relevant) Business knowledge in transaction monitoring system, sanction screening, trade surveillance. Supports and/or runs global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities Strengthen AML knowledge, Process Governance & Controls. Support Regulatory exams, Internal Audit, Compliance Assurance test, Self-identified issues / findings. Identify, assess, actively manage and control the risks that could come from our business, operational and organizational decisions. Develop and leverage innovative features and algorithms to drive down false positives and identify perceived threat across the firm Utilize traditional statistical analytics, graph theory / network science, ensemble methods and the like Natural language processing, text analytics, factors analysis / construct development and testing, machine learning feature development and engineering, etc. Prior experience in domains like AML/ Financial Crime analytics and strong knowledge of fraud data analysis and development, strategy design and delivery deployment. Non-functional Skill Requirements In order to succeed in PwC Risk CoE, it is desirable for candidates to possess: Understanding of 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 Excellent oral and written communication skills Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data Process orientation with strong technical skills and attention to detail Deep technical capabilities and industry knowledge of financial products Willingness to travel to meet client needs, as needed Educational Background Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus Additional Requirement Candidates aspirant of senior positions at PwC Risk CoE are expected to possess: Proven consulting skills to structure vague problems at hand and conceptualizing solutions Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently Experience in supporting sales pursuits for risk analytics offerings and solutions Ability to manage multiple engagements simultaneously along with leading people and initiatives Strong conceptual understanding of various functional/technical skills Ability to drive innovation and thought leadership in the risk management domain Intellectual property, patents and exclusive rights on any innovative solution is a plus

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. We are looking for a seasoned Data Scientist – Manager to lead advanced analytics initiatives and drive data-driven decision-making across the organization. The ideal candidate combines deep expertise in statistical modeling, machine learning, and modern data science techniques with strong business acumen and leadership skills. The role involves solving complex problems, building scalable models, and integrating advanced AI solutions into business workflows. Key Responsibilities Data Science Leadership: Lead a team of data scientists and analysts in designing, developing, and deploying machine learning models and statistical algorithms. Mentor team members, promoting best practices in experimentation, coding, and model evaluation. Translate business problems into structured analytical solutions using robust quantitative methods. Model Development & AI Integration Develop predictive and prescriptive models using regression, tree-based methods (e.g., Random Forest), LSTM, and reinforcement learning techniques. Apply deep learning and large language models (LLMs) to extract insights from structured and unstructured data. Work closely with engineering teams to productionize models and embed them into digital products and services. Advanced Analytics & Statistical Inference Perform exploratory data analysis, sampling, and inferential testing to identify trends and actionable insights. Use econometric and time series techniques to forecast and evaluate impact, especially in economic or behavioral contexts. Apply PCA and other dimensionality reduction techniques to handle high-dimensional data. Cloud & Data Infrastructure Collaborate with data engineering teams to access and leverage data from cloud platforms (AWS, GCP, Databricks). Utilize SQL, R, and Python to extract, clean, and manipulate large datasets from relational (RDBMS) and NoSQL (e.g., MongoDB) databases. Stakeholder Engagement & Strategic Impact Partner with business stakeholders to define analytical objectives and communicate findings with clarity. Lead data science strategy and roadmap development to ensure alignment with organizational goals. Drive innovation by exploring and implementing state-of-the-art methods in AI and machine learning. Required Skills And Experience 8+ years of experience in data science, with deep proficiency in Python, SQL, and statistical modeling. Proven experience developing and deploying ML models, including deep learning and time series forecasting. Expertise in cloud platforms and data pipeline integration for scalable model delivery. Strong understanding of statistical inference, econometrics, and experimental design. Experience with LLMs and advanced language models is a plus. Excellent problem-solving, communication, and team leadership abilities. Qualifications Master’s or PhD in Data Science, Computer Science, Statistics, Economics, or a related field. Demonstrated ability to lead data science projects from concept to deployment. Strong track record of delivering impact through data science in complex business environments.

Whether you're at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you'll have the opportunity to expand your skills and make a difference at one of the world's most global banks. We're fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You'll also have the chance to give back and make a positive impact where we live and work through volunteerism. Citi Finance is responsible for the firm's financial management and related controls. We manage and partner on key Citi initiatives and deliverables, such as our quarterly earnings process and ensuring Citi's compliance with financial rules and regulations. The team comprises chief financial officers who partner with each of our businesses and disciplines including controllers, financial planning and analysis, strategy, investor relations, tax and treasury. We're currently looking for a high caliber professional to join our team as Vice President, NTMR Lead Analyst - Hybrid based in Mumbai. Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decisions, and manage your financial well-being to help plan for your future. For instance: - Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses. - We have a variety of programs that help employees balance their work and life, including generous paid time off packages. - We offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world. In this role, you're expected to take on: The Balance Sheet Management Lead Analyst provides support to the BSM NTMR manager with bank balance sheet management and optimization, balancing financial resources among different competing priorities and how other Non-Trading Market Risk such as FXRBB, Commodity/Equity/CSRBB risk and OCI capital at risk and allocation of cash into debt investment securities contribute to achieving Corporate Treasury's balance sheet optimization objectives and Citi's strategic goals. Ability to learn and understand the strategic direction of the function within the relevant part of the business. Good communication skills are required in order to collaborate and engage a wide range and level of stakeholders. The role is to provide support to the NTMR manager with executing functional strategy in the designed area. Assist with determining the approach to implementing functional strategy and assisting the NTMR manager with reflecting strategic influence on the business and interaction with other functions or businesses. The Balance Sheet Management Model Governance group is the critical team within the Treasury/Balance Sheet Management and is primarily responsible for ongoing maintenance and governance support of the models that are used to generate Non-Trading Market Risk (NTMR) metrics within Treasury, covering Interest Rate Risk, Credit Spread Risk, Foreign Exchange Risk, valuation risk in Fixed Income and derivatives, Funds Transfer Pricing, and other related areas. This team plays an important role in overall balance sheet management and has a direct impact on Citigroup's Capital. The work in this space is subject to heightened regulatory focus and scrutiny. Key Responsibilities: - Provide support to the Non-Trading Market Manager with BSM's management process by providing analytical support with a primary focus on asset allocation, FXRBB, Commodity/Equity/CSRBB risk. - Provide support to the NTMR manager for enhancing BSM's analytics and methodologies and establishing Citi's first-line NTMR management framework (Policy/Standard/Procedures, models, methodologies, reporting, controls, processes, analytics, data, and documentation). - Provide support to align governance and management framework, procedures, and controls for all legal entities that have OCI Risk, FX risk, commodity risk, credit spread risk in the Banking Book. Provide support to the NTMR manager to liaise with businesses, legal entity treasury, CTI and Markets Treasury, and Controllers teams to ensure both an understanding and the ability to manage other non-trading market risks. - Assist with identifying and remediating gaps in other non-trading market risk (excl IRBB) as required by Tier 1 regulations and help to remediate regulatory/audit self-identified issues concerning other non-trading market risks in the banking book and achieve the target state framework. Interact with 2nd line Finance CRO function, regulators, senior management, and Non-Traded Market Risk governance committees. Qualifications and other Requirements: - Relevant statistical modeling/econometrics, model governance or model validation experience in the financial domain - 5 to 7+ years" experience in Financial Services, Treasury, and bank global liquidity investment portfolio. - Experience with debt investment securities and non-trading market risk such as FXRBB, commodity risk, private equity risk, and CSRBB is a plus - Experience with regulatory, compliance, risk management, and financial management, and data governance concerns is a plus - Understanding of Bank ALM, Capital, and Liquidity considerations is a plus - Proven ability to work under pressure in ambiguous environments - Excellent communication skills are imperative i.e. ability to make complex subjects easily digestible for senior management - Exercises proven Power Point and Excel skills - Ability to prioritize in a fast-paced environment Ability to interact with all levels of management Must be a team player Education: - Bachelor's degree in Finance and Business or related fields; an advanced degree is a plus. - Proficient with Bloomberg, fixed income analytical tools, Python and/or database - Strong power point presentation - Understanding of accounting general ledger Take the next step in your career, apply for this role at Citi today.,

Designations Available: Assistant Professor, Associate Professor, and Professor Desired Skillset: Applicants should preferably hold a Ph.D. in the relevant subject from reputed Institutions. Should have sufficient experience in Teaching, Industry & Research with reputed Institutions. Should have research papers published in International / National Journals. Should have books published and Scholars awarded / currently working for. Applicants with patents registered / consultancy works carried out will be given preference. Exposure in handling high-value funded projects will be an added advantage Preferred Qualifications: Ph.D. in relevant streams with good academic records Areas of Specialization: Econometrics Financial Data Analytics Responsibilities: Academics: Classroom presentation Laboratory Instructions Development Learning of Resource Materials & Laboratory Development Student Assessment & Evaluation including Examination work of University. Participation in Co-curricular & extracurricular activities Student s guidance, counseling & helping in their personal, ethical, moral, and overall character development Keeping abreast of new knowledge and skills, help to generate new knowledge and help dissemination of such knowledge through books, publications, seminars, handouts, etc Continuing Education Activities Self-development through upgrading qualifications, Experience & Professional activities Research Consultancy: Research development activities & Research guidance Industry sponsored projects Providing consultancy and testing services Promotion of industry-institution interaction and R & D Academic / Administration: Academic and Administrative management of the institution Policy planning, monitoring & evaluation, and promotional activities; both at the department level and institution level Design and development of a new programme. Preparing projects for funding in areas of R&D work, laboratory development, modernization, expansion, etc Administration both at departmental & institutional levels Development, administration, and management at Institutional levels Monitoring and evaluation of academic and research activities Participation in policy planning at the Regional / National level for the Development of Technical Education Helping mobilization of resources for the Institution Develop, update and maintain MIS Plan and implement Staff Development activities, conduct Performance Appraisal Maintain Accountability Extension / Industrial Connectivity Interaction with Industry and Society Participation in Community services Providing R&D support and consultancy services to Industry and other user agencies Providing non-formal modes of education for the benefit of the Community Promotion of Entrepreneurship and Job rotation Dissemination of knowledge Providing Technical support in areas of social relevance Apart from the above duties, any other relevant work is assigned by the Dean of the respective schools

Designations Available: Assistant Professor, Associate Professor, and Professor Desired Skillset: Applicants should preferably hold a Ph.D. in the relevant subject from reputed Institutions. Should have sufficient experience in Teaching, Industry & Research with reputed Institutions. Should have research papers published in International / National Journals. Should have books published and Scholars awarded / currently working for. Applicants with patents registered / consultancy works carried out will be given preference. Exposure in handling high-value funded projects will be an added advantage Preferred Qualifications: Ph.D. in relevant streams with good academic records Areas of Specialization: Econometrics Financial Data Analytics Responsibilities: Academics: Classroom presentation Laboratory Instructions Development Learning of Resource Materials & Laboratory Development Student Assessment & Evaluation including Examination work of University. Participation in Co-curricular & extracurricular activities Student s guidance, counseling & helping in their personal, ethical, moral, and overall character development Keeping abreast of new knowledge and skills, help to generate new knowledge and help dissemination of such knowledge through books, publications, seminars, handouts, etc Continuing Education Activities Self-development through upgrading qualifications, Experience & Professional activities Research Consultancy: Research development activities & Research guidance Industry sponsored projects Providing consultancy and testing services Promotion of industry-institution interaction and R & D Academic / Administration: Academic and Administrative management of the institution Policy planning, monitoring & evaluation, and promotional activities; both at the department level and institution level Design and development of a new programme. Preparing projects for funding in areas of R&D work, laboratory development, modernization, expansion, etc Administration both at departmental & institutional levels Development, administration, and management at Institutional levels Monitoring and evaluation of academic and research activities Participation in policy planning at the Regional / National level for the Development of Technical Education Helping mobilization of resources for the Institution Develop, update and maintain MIS Plan and implement Staff Development activities, conduct Performance Appraisal Maintain Accountability Extension / Industrial Connectivity Interaction with Industry and Society Participation in Community services Providing R&D support and consultancy services to Industry and other user agencies Providing non-formal modes of education for the benefit of the Community Promotion of Entrepreneurship and Job rotation Dissemination of knowledge Providing Technical support in areas of social relevance Apart from the above duties, any other relevant work is assigned by the Dean of the respective schools

Designations Available: Assistant Professor, Associate Professor, and Professor Desired Skillset: Applicants should preferably hold a Ph.D. in the relevant subject from reputed Institutions. Should have sufficient experience in Teaching, Industry & Research with reputed Institutions. Should have research papers published in International / National Journals. Should have books published and Scholars awarded / currently working for. Applicants with patents registered / consultancy works carried out will be given preference. Exposure in handling high-value funded projects will be an added advantage Preferred Qualifications: Ph.D. in relevant streams with good academic records Areas of Specialization: Econometrics Financial Data Analytics Responsibilities: Academics: Classroom presentation Laboratory Instructions Development Learning of Resource Materials & Laboratory Development Student Assessment & Evaluation including Examination work of University. Participation in Co-curricular & extracurricular activities Student s guidance, counseling & helping in their personal, ethical, moral, and overall character development Keeping abreast of new knowledge and skills, help to generate new knowledge and help dissemination of such knowledge through books, publications, seminars, handouts, etc Continuing Education Activities Self-development through upgrading qualifications, Experience & Professional activities Research Consultancy: Research development activities & Research guidance Industry sponsored projects Providing consultancy and testing services Promotion of industry-institution interaction and R & D Academic / Administration: Academic and Administrative management of the institution Policy planning, monitoring & evaluation, and promotional activities; both at the department level and institution level Design and development of a new programme. Preparing projects for funding in areas of R&D work, laboratory development, modernization, expansion, etc Administration both at departmental & institutional levels Development, administration, and management at Institutional levels Monitoring and evaluation of academic and research activities Participation in policy planning at the Regional / National level for the Development of Technical Education Helping mobilization of resources for the Institution Develop, update and maintain MIS Plan and implement Staff Development activities, conduct Performance Appraisal Maintain Accountability Extension / Industrial Connectivity Interaction with Industry and Society Participation in Community services Providing R&D support and consultancy services to Industry and other user agencies Providing non-formal modes of education for the benefit of the Community Promotion of Entrepreneurship and Job rotation Dissemination of knowledge Providing Technical support in areas of social relevance Apart from the above duties, any other relevant work is assigned by the Dean of the respective schools

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 – Senior Consultant 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 3 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.

To lead and build a strong data analytics and AI team that aims to drive the company towards becoming a data-first and data-driven organization by delivering and maintaining smart data-driven solutions crucial for growth and operations. The individual will accelerate the adoption and implementation of AI solutions to enhance efficiency, innovation, and competitive advantage. The position also involves managing all aspects of new data and AI projects from inception to delivery, as well as day-to-day operations, with a strong focus on assessing business value, ROI and reduce cost. Responsibilities Lead and build a strong data analytics and AI team over time and this should become possible organically by being able to demonstrate value Provide guidance and establish best practices and methodologies for data analytics and responsible AI initiatives. · Manage and oversee stages of AI and LLM Projects, from initial assessment to implementation. Build and maintain close working relationships with the Business and Functions Process Owners to gather specific requirements and define the scope of work. Collaborate closely with internal staff, users, and third parties to ensure success. Develop and implement advanced models and algorithms to solve complex business problems. Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements. · Stay updated with the latest advancements in AI and LLM technologies and apply them to enhance project outcomes Behavioral Strengths: · Excellent analytical, problem-solving, and decision-making skills. · Proven ability to lead and inspire teams, driving innovation and achieving results. · Exceptional communication and collaboration skills, with the ability to work effectively with diverse stakeholders. Education: Bachelor's or Master's degree in Computer Science, Math / Quantitative Methods / Econometrics / Information Systems Experience and Proficiency : · 10+ years of overall technology experience with 8 years in data and 5 years in AI/data science Preferred Skills: · Programming languages: Python, R or likes · Understanding of algorithms like linear regression, logistic regression, decision and regression trees, random forest, boosting algorithms (e.g., XGBoost), k-means, hierarchical clustering, and principal component analysis · Understanding of data science concepts: Statistics, probability, data transformation, visualization, storytelling, deep learning o Statistical and Mathematical Methods: Application of statistics and prominent statistical models · Good understanding of Data & AI technologies/tools: ML Ops, ETL, data lake, graph databases, NLK, Data Optimization

Department Profile From global institutions to hedge funds, investors come to Morgan Stanley for sales, trading, and market-making services in almost every type of financial instrument in all the world’s financial markets. Morgan Stanley professionals use our network and technology to provide liquidity and sophisticated analysis, to manage risk and execute reliably in the fast-changing markets. Morgan Stanley’s Institutional Equity Division (IED) is a world leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. Our broad and deep client relationships, market-leading platform and intellectual insights enable us to be a world-class service provider to our clients for their financing, market access and portfolio management needs. Global Markets Group is the offshoring arm of Morgan Stanley’s Equity businesses in India. It covers functions across IED ranging from those associated with sales, trading, analytics, Strats to risk management. The Quantitative Research (QR) group designs, builds and maintains the models which drive the equity trading engines at Morgan Stanley. Our systems are used globally by both internal trading groups and clients of the firm. We utilize systematic, data-driven approaches to understand how markets work and put those ideas in action. The team spans the disciplines of finance, econometrics, statistics, mathematics, machine learning and data analysis, with many team members well versed in multiple areas. We are looking to hire highly talented, creative individuals who are enthusiastic about research; and enthusiastic about making a contribution to a leading-edge team, in an intellectually stimulating environment. Primary Responsibilities This role, based in Mumbai, requires the individual to work with global Morgan Stanley Quantitative Research teams. The successful candidate will be a fast-learning, dynamic, pro-active and self-motivated individual who can assist the team in working with large data sets and providing maintenance and infrastructure support of the data systems, applications, and servers. The individual will collaborate closely with QR Data team and Technology to support and enhance the features, performance, and data quality of our data systems, applications, and databases. The expected working hours will be 12:30 PM-09:30 PM (IST). The key elements of the role are – Responsible for infrastructure, engineering, and operational application support. Monitoring of server & disk utilization along with daily jobs Configuring, onboarding, and maintaining dataset across regions and environments Construction of reusable components to process and access complex data. Explore large data handling applications and programming techniques. Monitor, report and action on exceptions related to Tech Hygiene items. Core Requirements We are looking for a confident and outgoing person, who has exceptional attention to detail and takes initiative. 2-4 years of experience as system analyst preferably in financial sector An understanding and practical application of software engineering development lifecycle UNIX shell scripting with Python and/or Perl Experience with Linux servers, filesystems, and automation setup for regular maintenance tasks. Working knowledge of job scheduling systems, such as Autosys Experience with designing and maintaining CI/CD pipelines with Git and Jenkins Bachelor’s or master’s Degree preferably in Computer Science & information technology Significant experience in any mathematical/high-level programming language such as Python/ Perl Strong written and verbal communication skills Complementary Skills Understanding of KDB+ or other databases, such as Sybase or Microsoft SQL Server Development in other programming languages, such as Java, C++ Understanding of equity markets 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.

Job Description The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Ab Initio Data Engineer We are looking for Ab Initio Data Engineer to be able to design and build Ab Initio-based applications across Data Integration, Governance & Quality domains for Compliance Risk programs. The individual will be working with both Technical Leads, Senior Solution Engineers and prospective Application Managers in order to build applications, rollout and support production environments, leveraging Ab Initio tech-stack, and ensuring the overall success of their programs. The programs have a high visibility, and are fast paced key initiatives, which generally aims towards acquiring & curating data and metadata across internal and external sources, provide analytical insights and integrate with other Citi systems. Technical Stack: Ab Initio 4.0.x software suite – Co>Op, GDE, EME, BRE, Conduct>It, Express>It, Metadata>Hub, Query>it, Control>Center, Easy>Graph Big Data – Cloudera Hadoop, Hive, Yarn Databases - Oracle 11G/12C, Teradata, MongoDB, Snowflake Others – JIRA, Service Now, Linux, SQL Developer, AutoSys, and Microsoft Office Responsibilities: Ability to design and build Ab Initio graphs (both continuous & batch) and Conduct>it Plans, and integrate with portfolio of Ab Initio softwares. Build Web-Service and RESTful graphs and create RAML or Swagger documentations. Complete understanding and analytical ability of Metadata Hub metamodel. Strong hands on Multifile system level programming, debugging and optimization skill. Hands on experience in developing complex ETL applications. Good knowledge of RDBMS – Oracle, with ability to write complex SQL needed to investigate and analyze data issues Strong in UNIX Shell/Perl Scripting. Build graphs interfacing with heterogeneous data sources – Oracle, Snowflake, Hadoop, Hive, AWS S3. Build application configurations for Express>It frameworks – Acquire>It, Spec-To-Graph, Data Quality Assessment. Build automation pipelines for Continuous Integration & Delivery (CI-CD), leveraging Testing Framework & JUnit modules, integrating with Jenkins, JIRA and/or Service Now. Build Query>It data sources for cataloguing data from different sources. Parse XML, JSON & YAML documents including hierarchical models. Build and implement data acquisition and transformation/curation requirements in a data lake or warehouse environment, and demonstrate experience in leveraging various Ab Initio components. Build Autosys or Control Center Jobs and Schedules for process orchestration Build BRE rulesets for reformat, rollup & validation usecases Build SQL scripts on database, performance tuning, relational model analysis and perform data migrations. Ability to identify performance bottlenecks in graphs, and optimize them. Ensure Ab Initio code base is appropriately engineered to maintain current functionality and development that adheres to performance optimization, interoperability standards and requirements, and compliance with client IT governance policies Build regression test cases, functional test cases and write user manuals for various projects Conduct bug fixing, code reviews, and unit, functional and integration testing Participate in the agile development process, and document and communicate issues and bugs relative to data standards Pair up with other data engineers to develop analytic applications leveraging Big Data technologies: Hadoop, NoSQL, and In-memory Data Grids Challenge and inspire team members to achieve business results in a fast paced and quickly changing environment Perform other duties and/or special projects as assigned Qualifications: Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 5 years of experience Minimum 5 years of extensive experience in design, build and deployment of Ab Initio-based applications Expertise in handling complex large-scale Data Lake and Warehouse environments Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 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 Citi’s EEO Policy Statement and the Know Your Rights poster.

Embark on a transformative journey as an ICAAP and CCR Stress testing at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. you'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. The role holder will work both independently and as part of a team to provide expert analysis and commentary on the bank s wholesale credit and counterparty credit risk profile and internal capital assessment. This is an exciting opportunity for someone who wants to work with, Treasury and Capital Management, Trading and Banking teams to understand the risk on wholesale credit risk (WCR), derivative and financing transactions. To be a successful ICAAP and CCR Stress testing you should have experience with: Strong track record in risk management. Detailed understanding of CCR and WCR models (EEPE, PFE, RWA, LGD, EAD and Economic Capital) and capital calculations. Detailed knowledge of Financial Markets, Wholesale Credit and Derivative Products and strong analytical skills with a high attention to detail. Experience in dealing with large and complex data structures and stress testing methodologies. Some other highly valued skills may include: Related professional qualifications (eg FRM, CFA, CQF). Bachelor s degree in Finance, Engineering or a Mathematical or Quantitative related field. Regulatory knowledge (CRR, PRA, EBA). Knowledge of econometrics methods used in risk modelling. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking, as we'll as job-specific technical skills. The job location of this role is Mumbai. Purpose of the role To assess the capital requirements of the banks credit portfolio under various economic and risk scenarios and design and execute stress testing exercises to measure the potential impact of adverse events on the banks credit losses, risk-weighted assets, and capital adequacy Accountabilities Development and maintenance of stress testing models and methodologies for different credit portfolio segments. Designing and execution of stress testing scenarios incorporating diverse macroeconomic factors, industry trends, and portfolio-specific risks. Analysis of the efficiency of capital allocation across different business lines and products. Analysis and interpretation of stress test results, including forecasting expected credit losses, risk-weighted assets, and capital needs. Management, and analysis of large datasets relevant to credit risk and stress testing. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using we'll developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.

CCB-Risk- Card Data Science & Capabilities Associate JP Morgan Chase (NYSE JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the worlds most prominent corporate, institutional and government clients under its J. P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at http//www. jpmorganchase. com/ . Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment. Chase Consumer & Community Banking serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others. Join our Model Insights Team , a Center of Excellence within Consumer & Community Banking (CCB) Risk Modeling, committed to tracking of comprehensive health of machine learning models. We are responsible for sanity of model inputs and score performance tracking for CCB risk decision models. Team collaborates with model developers to identify and recommend potential opportunities for model calibration. We are constantly seeking for opportunities to enhance model performance tracking framework, with aim of providing feedback loop to risk strategies. We are seeking candidates who possess extensive knowledge of data science techniques, appreciation for data combined with of domain expertise, and a keen eye for detail and logic. It s an opportunity to make an impact to model performance monitoring and governance practices for CCB risk models. Job Responsibilities - Applied AI/ML Associate Drive synergy in model performance tracking across different sub-lines of business. Enhance model performance framework to holistically capture model health, providing actionable insights to model users. Collaborate with model developers to identify potential opportunities for model calibration and conduct preliminary Root Cause Analysis in case of model performance decay. Design and build robust framework to monitor quality of model inputs. Explore opportunities to drive efficiency in model inputs and performance tracking through use of Large Language Model (LLM). Partner with teams across, Risk, Technology, Data Governance, and Control to support effective model performance management and insights. Deliver regular updates on model health to senior leadership of risk organization and the first line of defense. Required qualifications, capabilities, and skills Advanced degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics, Physics, or a related quantitative field. Proficiency in programming languages such as Python, PySpark, and SQL, along with familiarity with cloud services like AWS SageMaker and Amazon EMR. Deep understanding of advanced machine learning algorithms (e. g. Decision Trees, Random Forest, XGBoost, Neural Networks, Clustering etc) Strong conceptual understanding of performance metrics used to monitor health of machine learning models. Fundamental understanding of the consumer lending business and risk management practices. Experience of working with large datasets with strong ability to analyze, interpret, and derive insights from data. Advanced problem-solving and analytical skills, with a keen attention to detail. Excellent communication skills, with the ability to convey complex information clearly and effectively to senior management. Preferred qualifications, capabilities, and skills 3+ years of experience in developing and managing predictive risk models in financial industry. Experience of data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). Proven expertise in designing, building, and deploying production-quality machine learning models. Ability to effectively collaborate with multiple stakeholders on projects of strategic importance, ensuring alignment and successful outcomes. Basic level of proficiency in Tableau CCB-Risk- Card Data Science & Capabilities Associate JP Morgan Chase (NYSE JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the worlds most prominent corporate, institutional and government clients under its J. P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at http//www. jpmorganchase. com/ . Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment. Chase Consumer & Community Banking serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others. Join our Model Insights Team , a Center of Excellence within Consumer & Community Banking (CCB) Risk Modeling, committed to tracking of comprehensive health of machine learning models. We are responsible for sanity of model inputs and score performance tracking for CCB risk decision models. Team collaborates with model developers to identify and recommend potential opportunities for model calibration. We are constantly seeking for opportunities to enhance model performance tracking framework, with aim of providing feedback loop to risk strategies. We are seeking candidates who possess extensive knowledge of data science techniques, appreciation for data combined with of domain expertise, and a keen eye for detail and logic. It s an opportunity to make an impact to model performance monitoring and governance practices for CCB risk models. Job Responsibilities - Applied AI/ML Associate Drive synergy in model performance tracking across different sub-lines of business. Enhance model performance framework to holistically capture model health, providing actionable insights to model users. Collaborate with model developers to identify potential opportunities for model calibration and conduct preliminary Root Cause Analysis in case of model performance decay. Design and build robust framework to monitor quality of model inputs. Explore opportunities to drive efficiency in model inputs and performance tracking through use of Large Language Model (LLM). Partner with teams across, Risk, Technology, Data Governance, and Control to support effective model performance management and insights. Deliver regular updates on model health to senior leadership of risk organization and the first line of defense. Required qualifications, capabilities, and skills Advanced degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics, Physics, or a related quantitative field. Proficiency in programming languages such as Python, PySpark, and SQL, along with familiarity with cloud services like AWS SageMaker and Amazon EMR. Deep understanding of advanced machine learning algorithms (e. g. Decision Trees, Random Forest, XGBoost, Neural Networks, Clustering etc) Strong conceptual understanding of performance metrics used to monitor health of machine learning models. Fundamental understanding of the consumer lending business and risk management practices. Experience of working with large datasets with strong ability to analyze, interpret, and derive insights from data. Advanced problem-solving and analytical skills, with a keen attention to detail. Excellent communication skills, with the ability to convey complex information clearly and effectively to senior management. Preferred qualifications, capabilities, and skills 3+ years of experience in developing and managing predictive risk models in financial industry. Experience of data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). Proven expertise in designing, building, and deploying production-quality machine learning models. Ability to effectively collaborate with multiple stakeholders on projects of strategic importance, ensuring alignment and successful outcomes. Basic level of proficiency in Tableau

Morgan Stanley IRB (Credit Risk Modeller) - Associate Profile Description We’re seeking someone to join our team as an [Associate] to [IRB, Credit Risk Modeller]. 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. What You’ll Do In The Role The primary responsibilities of the role include, but are not limited to the following: Own modeling efforts for credit risk modelling in Mumbai Quickly develop a deep understanding of Morgan Stanley's credit risk analytics models. Participate in research, development, and implementation of credit risk models Perform econometric analyses to support methodology development Support back-testing, stress testing, scenario analyses and sensitivity studies Analyze model changes and perform data analyses for various purposes including model improvement Partner with teams across Risk Analytics, technology, model risk management, credit risk officers and other teams throughout FRM and the Firm. 0-10 years of work experience in quantitative modeling, Risk Management, algorithmic trading, global markets or any other quantitative/Data Science field. Prior analytics work experience in a bank credit-related department. Examples include lending or trading analytics. The candidate needs to be familiar with statistical techniques viz. Regressions Analysis, Hypothesis testing et al. Understanding of financial institutions regulatory frameworks. Examples include IRB, CECL, CCAR, Dodd-Frank and Basel. Strong quantitative and analytical skills and ability to work with diverse cultures in a global team. Knowledge and hands-on experience in one of the programming languages R, Python, MATLAB, SQL, C# or C++ is strongly preferred. What You’ll Bring To The Role Skills required (required / preferred) Excellent communication skills (Oral and written). Ability to communicate and present logically, precisely and in simple manner, complex and technical issues. Attention to details and ability to work under pressure and cope with a fast moving environment. PRM/FRM, CFA, CQF certification is an advantage. Experience in AI, ML, NLP, Big Data Analytics, PowerBI is an advantage. Graduate/ Postgraduate/ Advanced degree in Finance, Mathematics, Econometrics, Engineering, or other Quantitative subjects. 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.