363 Econometrics Jobs - Page 14

Core Skills Eligibility Minimum Qualifications: Bachelor s degree in computer science or a related field OR master s degree in statistics, economics, business economics, econometrics, or operations research. 6-8 years of experience in the Analytics/Data Science domain. Proficiency in programming languages such as Python. Experience with Generative AI techniques and tools. Familiarity with ETL methods, data imputation, data cleaning, and outlier handling. Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services. Knowledge of databases and associated tools such as SQL. Technical Skills - Desirable: Expertise in NLP and Generative AI concepts/methods/techniques like Prompt design/engineering Retrieval Augmented Generation (RAG), Corrective RAG and Knowledge Graph-based RAG using GPT-4o Fine-tuning through LORA/QLORA Multi-agentic frameworks for RAG Reranker etc. for enhancing the plain-vanilla RAG Evaluation frameworks like G-Eval etc. Strong understanding of Deep Learning methods and Machine Learning techniques including Ensemble methods, Support Vector Machines, and Natural Language Processing (NLP). Exposure to Big Data technologies like Hadoop, Hive, Spark. Experience with advanced reporting tools such as Tableau, Qlikview, or PowerBI. Specific Responsibilities Requirement Gathering : Translate business requirements into actionable analytical plans in collaboration with the team. Ensure alignment of analytical plans with the customer s strategic objectives. Data Handling : Identify and leverage appropriate data sources to address business problems. Explore, diagnose, and resolve data discrepancies including ETL tasks, missing values, and outliers. Development and Execution: Individually deliver projects, proof-of-concept (POC) initiatives from inception to completion. Contribute to the development and refinement of technical and analytics architecture, ensuring it aligns with project and organizational goals. Implement scalable and robust analytical frameworks and data pipelines to support advanced analytics and machine learning applications. Coordinating with cross-functional teams to achieve project goals. Delivery of production-ready models and solutions, meeting quality and performance standards. Monitor success metrics to ensure high-quality output and make necessary adjustments. Create and maintain documentation/reports. Innovation and Best Practices : Stay informed about new trends in Generative AI and integrate relevant advancements into our solutions. Implement novel applications of Generative AI algorithms and techniques in Python. Sample Projects GenAI-powered self-serve analytics solution for a global technology giant, that leverages the power of multi-agent framework and Azure OpenAI services to provide actionable insights, recommendations, and answers to tactical questions derived from web analytics data. GenAI bot for querying on textual documents (e.g., retail audit orientation, FAQ documents, research brief document etc.) of multinational dairy company and, and getting personalized responses in a natural and conversational way, based on the structured context of the user (like their personal details), along with the citations, so that one can effortlessly carry out their first-hand validation themselves GenAI bot for querying on tabular dataset (like monthly KPI data) of leading global event agency to understand, process natural language queries on the data and generate appropriate responses in textual, tabular and visual formats. GenAI-powered advanced information retrieval from structured data of a global technology leading organization TimesFM modelling for advanced time series forecasting for a global retail chain Knowledge-Graph-based GenAI solution for knowledge retrieval and semantic summarization for a leading global event agency GenAI-powered shopping assistant solution for big-box warehouse club retail stores GenAI solution using multi-agentic framework for travel-hospitality use case Input Governance and Response Governance in GenAI Solutions Development and implementation of evaluation frameworks for GenAI solutions/applications Training Foundational Models on new data using open-source LLM or SLM EXPERIENCE 4.5-6 Years SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, Data Science, Python (Data Science), GenAI Fundamentals

* Working knowledge of 2 of the following technologies: VBA, C++, C#, MATLAB, R, Python * Experience in structured finance and cash flow modelling a strong plus * Working knowledge of Moody s Structured Finance Workstation (SFW) strongly preferred * Hard-working, prudent, easy to work with, and willingness to learn new technologies Roles and responsibilities * Verify and enhance the financial models underlying Moody s rating methodologies * Build complex cash flow models using Moody s proprietary software for verification purpose * Implementing model testing procedures and developing analytical projects to confirm the ability of financial models to assess credit risk. * Building financial model prototypes, , and assist with the implementation of new control processes for rating models and scorecards. * Support in research and validation projects. * The position requires collaboration with rating analysts, model development team and research groups. Qualifications: * Graduate/Post-Graduate degree in Applied Mathematics, Financial Engineering, Econometrics, Statistics, Finance, Physics, or Business preferred. * 0-3 years of overall experience in credit risk modeling

Data Scientist Company : Blackstraw.ai Job location: Chennai (Work from Office) Job Type: Full-time Experience: 2 10 Years Job Summary: We are looking for Data Scientists to analyze large amounts of raw information to find patterns that will help improve our clients business. We will rely on you to build data products to extract valuable business insights. You will be part of our AI team in developing AI based products through the latest cutting edge technology. Key Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Communicate your findings to the appropriate teams through visualisations Collaborate and communicate findings to diverse stakeholders Provide solutions but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Preferred Qualifications: Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts. Minimum of 3+ years of experience in a related position, as a data scientist building predictive analytics or NLP or CV solutions for various types of business problems. Working knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like Tensorflow, Pytorch, PySpark. Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++, Spark, Scala. Good knowledge in the implementation of deep learning models for image classification, Document classification models, object detection, logo detection. Self-motivated and driven to deliver agreed results on-time. Company Profile: Conceptualized as far back as 2015, and commencing full-time operations in 2018, Blackstraw technologies Pvt Ltd. is a software products and services company specializing in Artificial Intelligence (AI) and Machine Learning solutions for various industries. We support businesses around the world, including North America, Europe and Asia, working to simplify AI implementation through our platform that expedites data labelling, AI model-training, and cloud or on-premise deployments. With more than 900 years of combined work-experience, the 250+-strong Blackstraw Team comprises various experts in the AI value chain. We are a fast-moving team that prides ourselves in rapidly identifying different use-cases and fine-tuning our products to suit specific business needs. We are focused on providing solutions related to computer vision, natural language processing, Data annotation tools for deep learning models, etc. To stay competitive in business, it is key for organizations to adopt and implement smart AI solutions and service offerings. However, most companies are unable to implement AI rapidly due to the complexity of existing solutions, inadequate data and cost implications. Our mission is to enable enterprises to adopt AI in an easier, cost-effective and time-efficient manner with a plug-and-play approach to their data.

Job Summary Nielsen is the leading media measurement company, measuring convergent TV, online and radio consumption across the globe. Our Data Science team is experimenting, testing, and implementing innovative methodologies to provide the insights that publishers and advertisers need. As a Data Scientist you will be responsible for high-quality design, execution and delivery of global analytics solutions, performance dashboards, and analytical studies. Excited? Come join us! You will be part of a data science team that is responsible for the Advanced Audience measurement. With the team you will develop new methodologies using techniques from the fields of econometrics and machine learning, such as regression- and classification models, dimension reduction, time series models, nearest neighbour type of algorithms and (convex) optimization. Together you will build and maintain robust pipelines that apply these methodologies. With this, the team supports the advanced analytics needs of Nielsens audience measurement products that provide value for clients. The team collaborates cross functionally with colleagues from product, data engineering, DevOps and other data science teams to develop joint solutions. In this role your focus in the team will be on methodology development, although you will also take part in the other team tasks, such as data engineering, developing and maintaining production pipelines, and various analytics tasks. Responsibilities Explore and analyze data. Craft scalable, interpretable models, employing techniques from the fields of statistics, econometrics and machine learning. Provide research support for the identification and implementation of methods and best practices. Design, develop, optimize, and maintain robust data science pipelines. Explain complex analytics methodologies to internal and external Nielsen stakeholders, demonstrating their direct relevance to strategic audience measurement goals. Ensure documentation of new methodologies and best practices. Help incubate a forward-thinking culture. This includes prioritizing staying up-to-date with new software, methodologies, and industry research and facilitating the cross pollination of ideas across individuals and teams. Cultivate a team environment focused on continuous learning Qualifications Possession of a Bachelor s degree, with a preference for an MS or PhD in Data Science, Computer Science, Statistics or Mathematics, Operation Research, (or other hard sciences, ) with outstanding analytical expertise and strong technical leadership skills. At least 5 years of experience in data science roles, or a graduate degree in a quantitative discipline with a demonstrated skill set in data science. Experience in media industry is good to have. You comprehend complex problems quickly, are creative in finding solutions and are a critical thinker with a keen eye for detail. You are a team player, you like to test ideas with colleagues and you like to participate in peer reviews. Professional expertise in using machine learning and mathematical modeling. High proficiency in Python, SQL, and PySpark. Expertise in working with big data. Have a thirst for new challenges. The candidate should be comfortable diving into the unknown and making sense of whats noise and what isnt. Feel comfortable and excited to bring innovative ideas and challenge existing methods and processes. This requires the ability to pick apart the implementation details from the overall design. Have a mathematical and/or statistical background with the ability to dive "into-the-weeds" when necessary to help fine-tune methods and models. Be able to communicate effectively to various types of personas: commercial partners, product leaders, infrastructure architects, data scientists, and data engineers. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen. com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen. com address. If youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Develop, design deploy insights products for commercial clients providing insights and actionable recommendations to optimize their travel and expense programs . Drive efficiency and scale via automated utilities solutions that can drive scale and enable deeper penetration of insights products to meet customer needs. Individual is preferred to bring and build TE domain expertise, industry and business trends that s helpful in consultative discussion with key client personas. Key Responsibilities Related experience in Product Development or Product Management Conduct prototyping of insights products and services based on client needs using tools like HIVE, Python, SQL, Tableau Leverage advanced analytics to drive innovative solutions Proven history of delivering adoption of digital product Partner with technology to put offline products to scalable digital roadmap, manage end to end delivery plan and associated risk. Plan and drive the PI delivery schedule Solid understanding of user-centric design principles and agile methodologies Excellent communication, collaboration, and critical thinking skills Experience in collaborating with corporate clients and Enterprise software solutions High diligence with an eye for accuracy and controls Strong results-orientation, resourcefulness, and flexibility to overcome significant obstacles to achieve goals in a demanding environment Minimum Experience: 3-5 years of relevant work experience Prior experience in financial sector preferred and having product mindset. Expertise in programming tools Python / Hive / SQL / VBA / Tableau Knowledge and application of statistical methods Expertise in end-to-end automation of solutions Strong Client and stakeholder management; Communication skills; Presentation skills Bachelor s degree in engineering, Computer Science, Statistics, Econometrics, Mathematics, Operations Research Preferred Qualifications: Experience in payments, financial sector (any other relevant) industry preferred Experience with analytics for commercial clients / travel expense programs / fintechs preferred Experience in digital product development / exposure to implementation of Agile/Scrum methodologies. Experience in designing scalable solutions and lead implementation of complex data product Strong program management, analytical problem-solving skills Ability to think abstractly and deal with ambiguous/under-defined problems Functional Skills / Technical Skills Experience in product development Good Presentation skills Solution Designing Analytics, Insights Targeting Python, HIVE, SAS, SQL, Advanced Excel Basic statistical technique and algorithms Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Director/VP - Analytics Zenon Analytics is a global boutique consulting firm and the leading AI partner for Fortune 500 firms. We partner with clients across the globe to identify their highest-value opportunities, address their most critical challenges, and transform their enterprises using AI and automation. What will you do Leadership role wherein she/he would work closely with Zenon s executive leadership to conceptualize, develop, implement solutions in the AI-ML space, especially focused on NLP and unstructured data analytics Lead a high functioning and results-driven cross-functional team to design, develop, and deploy state-of-the-art, data-driven models across NLP, deep learning and machine learning Deliver projects to drive business strategy and solve challenging problems using the latest and most appropriate technologies Establish both short-term and long-term strategic roadmaps to drive results Provide technical leadership and career mentorship to data scientists with a wide range of backgrounds What are we looking for 10+ years relevant experience B.Tech/B.Tech+M.Tech/M.Tech from top IITs in a quantitative field (i.e. Computer Science, Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.) or Advanced degree (M.Tech/MS/PhD or equivalent) in data heavy research discipline with substantial quantitative analysis A proven track record of leading multiple data science and NLP projects from start to finish and delivering business value Experience managing and mentoring mid-large sized cross-geographical teams of data scientists Expertise in designing strategies and presenting proposals to clients and internal stakeholders Very solid grasp of NLP and machine learning along with strong programming skills Should have deep knowledge and interest in emerging trends in the AI/data science domain and should be keen on learning new technologies Excellent written and verbal communication skills, experience in executive-facing presentations will be good to have Data science experience in Financial Services/ Healthcare companies is preferred.

You Lead the Way. We ve Got Your Back. At American Express, you ll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we ll win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and lets lead the way together. How will you make an impact in this role? The Commercial Portfolio Products Development team (CPPD), within Global Commercial Services, is focused on designing and delivering a seamless digital experience that drives customer engagement as well as business growth. The Digital Capabilities team within CPPD team designs and delivers digital tools for middle market, large and global scale companies to effectively lead their Corporate Card programs. We are looking for a seasoned Product professional to join our growing team and drive development of key Commercial products . The ideal candidate will be enthusiastic about creating digital technologies to enable seamless and intuitive corporate product experiences. The individual in this role will drive the product adoption and strategic plans to launch digital features as part of the Corporate Program Product Development (CPPD) team. The candidate will exhibit strong communication and organizational skills and have a proven record of delivering value while leading multiple priorities and tight timelines. Purpose of the Role: Develop, design & deploy insights products for commercial clients providing insights and actionable recommendations to optimize their travel and expense programs . Drive efficiency and scale via automated utilities & solutions that can drive scale and enable deeper penetration of insights products to meet customer needs. Individual is preferred to bring and build T&E domain expertise, industry and business trends that s helpful in consultative discussion with key client personas. Key Responsibilities Related experience in Product Development or Product Management Conduct prototyping of insights products and services based on client needs using tools like HIVE, Python, SQL, Tableau Leverage advanced analytics to drive innovative solutions Proven history of delivering adoption of digital product Partner with technology to put offline products to scalable digital roadmap, manage end to end delivery plan and associated risk. Plan and drive the PI delivery schedule Solid understanding of user-centric design principles and agile methodologies Excellent communication, collaboration, and critical thinking skills Experience in collaborating with corporate clients and Enterprise software solutions High diligence with an eye for accuracy and controls Strong results-orientation, resourcefulness, and flexibility to overcome significant obstacles to achieve goals in a demanding environment Minimum Experience: 3-5 years of relevant work experience Prior experience in financial sector preferred and having product mindset. Expertise in programming tools Python / Hive / SQL / VBA / Tableau Knowledge and application of statistical methods Expertise in end-to-end automation of solutions Strong Client and stakeholder management; Communication skills; Presentation skills Bachelor s degree in engineering, Computer Science, Statistics, Econometrics, Mathematics, Operations Research Preferred Qualifications: Experience in payments, financial sector (any other relevant) industry preferred Experience with analytics for commercial clients / travel & expense programs / fintechs preferred Experience in digital product development / exposure to implementation of Agile/Scrum methodologies. Experience in designing scalable solutions and lead implementation of complex data product Strong program management, analytical & problem-solving skills Ability to think abstractly and deal with ambiguous/under-defined problems Functional Skills / Technical Skills Experience in product development Good Presentation skills Solution Designing Analytics, Insights & Targeting Python, HIVE, SAS, SQL, Advanced Excel Basic statistical technique and algorithms Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Responsibilities Support investment portfolio reporting and quantitative analyses for a leading alternative asset manager. Develop and improve workflow efficiency through automation Assist with development, calibration, prototyping and documentation of risk models Assist with preparation of materials for client and senior management Assist with development of robust risk management framework and analytics across portfolios Analyse time series data to identify and report any trends or errors/exceptions, using quantitative techniques, machine learning models Help foster a culture of risk awareness in partnership with other stakeholders Keep up to date with topical issues in risk management Key Skills Experienced in data science, machine learning, quantitative modelling Proficient in programming languages like Python, SQL and libraries like Pandas, Numpy, Matplotlib Experienced in AWS/Amazon SageMaker and framework like Tensorflow Has commanding grasp on Excel. Basic knowledge of BI tools like Tableau/ Sigma Computing Has experience of risk analytic platforms (e. g. , FactSet; Risk Metrics; Bloomberg) Quantitative background such as Mathematics, Mathematical Finance, Econometrics, Data Science, Statistics Understanding of different alternative asset classes and instruments, with strong knowledge of fixed income securities and their characteristics in particular Preferred qualification - CFA/ FRM/ CQF/ PG degree in finance Ability to work independently as well as thrive in a team-oriented environment Comfortable taking initiative and being resourceful Rixh experience of working in an investment risk, data science related role preferred

Responsibilities Support investment portfolio reporting and quantitative analyses for a leading alternative asset manager. Develop and improve workflow efficiency through automation Assist with development, calibration, prototyping and documentation of risk models Assist with preparation of materials for client and senior management Assist with development of robust risk management framework and analytics across portfolios Analyse time series data to identify and report any trends or errors/exceptions, using quantitative techniques, machine learning models Develop and maintain dynamic dashboards in risk reporting Key Skills Experienced in data science, machine learning, quantitative modelling Proficient in programming languages like Python, SQL, libraries like Pandas, Numpy, Matplotlib Experienced in Amazon SageMaker. Has commanding grasp on Excel Experienced in web scrapping, using libraries like Selenium, Request Basic knowledge of BI tools like Tableau/ Sigma Computing Has experience of risk analytic platforms (e. g. , FactSet; Risk Metrics; Bloomberg) Quantitative background such as Mathematics, Mathematical Finance, Econometrics Understanding of different alternative asset classes and instruments, with strong knowledge of fixed income securities and their characteristics in particular Preferred qualification - CFA/ FRM/ CQF/ PG degree in finance Ability to work independently as well as thrive in a team-oriented environment Comfortable taking initiative and being resourceful Experience in an investment risk related role preferred

As a statistical and machine learning VP and subject matter expert, you will be member of Model Risk Governance and Review (MRGR) team working for Consumer and Community (CCB) line of business. The successful candidate will focus on the following responsibilities Job Responsibilities Engage in comprehensive model validation activities by evaluating the conceptual soundness, reasonableness of assumptions, reliability of inputs, completeness of testing, and correctness of implementation associated with model development and usage. Conduct thorough reviews of 1) proposed enhancements to existing models 2) scope extension for current models, and provide specific approvals as needed. Assess the risks associated with advanced AI/ML models, including Generative AI, and ensure that appropriate model review and governance processes are followed to mitigate potential risks effectively. Responsible for managing activities pertaining to the model risk lifecycle, including overseeing the accuracy of the model inventory, review of ongoing model performance monitoring, performing annual status assessments, as well as managing model change control. Maintain robust model risk controls for CCB models and serve as the primary point of contact. Proactively identify and escalate issues to ensure their resolutions are sound and timely. Provide Leadership and mentoring to junior resources and guide them in Model Review and Governance activities. Participate and actively contribute to the activities and initiatives of MRGR CCB and MRGR as a whole, fostering a collaborative and innovative environment Keep abreast of the latest developments in consumer banking, including advanced AI/ML modeling techniques, products, markets, models, risk management practices, and industry standards. Required qualifications, capabilities, and skills We are looking for someone excited to join our organization. If you meet the requirements below, you are encouraged to apply to be considered for this role. Experience in Model Development or Model Validation - 8 -10 Years Strong quantitative & analytical skills The role requires a strong quantitative background (PhD /Master Degree or equivalent) in Statistics, Economics (with Econometrics), Data Science, Computer Science, Operations Research, or a quantitative science, etc. Prefer candidates with knowledge of both statistic/econometric methodologies and Machine Learning modeling methodologies. Programming Skills Knowledge of at least one programming language such as Python, SAS, R, etc. Product domain expertise in consumer banking/retail banking; ability to understand the business / knowledge of regulation surrounding business) Extensive Experience and familiarity in Model Development or Model Validation in Financial institutions. Strong communication skills - Verbal and Written, ability to interface with stakeholders on model-related issues. Risk and control mindset Ask incisive questions, assess materiality of issues and escalate as required Preferred qualifications, capabilities, and skills Sound project management /organizational skills flexible, adaptable to shifting priorities to achieve the most effective result and able to work in a fast-paced, results driven environment

Responsibilities Support investment portfolio reporting and quantitative analyses for a leading alternative asset manager Develop and improve workflow efficiency through automation Assist with preparation of materials for client and senior management Assist with development of robust risk management framework and analytics across portfolios Analyse time series data to identify and report any trends or errors/exceptions, using quantitative techniques, machine learning models, in the form of dynamic dashboards Key Skills Experienced in data science, machine learning, quantitative modelling Proficient in programming languages like Python, SQL and libraries like Pandas, Numpy, Matplotlib Experienced in AWS infrastructure, Snowflake and framework like Tensorflow Experienced in web scrapping, using libraries like Selenium, Request Basic knowledge of BI tools like Tableau/ Sigma Computing Has experience of risk analytics platforms (e. g. , FactSet; Risk Metrics; Bloomberg) Quantitative background such as Mathematics, Mathematical Finance, Econometrics, Data Science, Statistics Basic knowledge of fixed income securities and their characteristics preferred Ability to work independently as well as thrive in a team-oriented environment Comfortable taking initiative and being resourceful Experience in working for a technology heavy/ data science role preferred

Measures, analyzes, and strategizes improvement in Operations via Data Science algorithms Leads development and usage of data science models (such as forecasting, regression and simulation) to support better decisions and improve performance of Hubs and Functions Ability to develop and deliver analytics awareness raising programs to maximize organization benefits. Ability to provide strategic advises to senior executives. Provide leadership across technical projects leveraging internal data assets and external data. Run full lifecycle of Analytics projects, providing rigorous, impartial feedback, measurement advice for action, and thought leadership. Drive excellent practices and technical standards for establishing data science driven root causes of performance measures and improvement plans for Operations. Should be adept at developing information suites (Dashboards, reports, visualizations) fit for C-level consumption. Leverage our data to scale our ability to optimize Operational performance through analysis, modelling, experiments and pre-post analyses. When required, interact with FDA and participate in Notified Body audits and inspections with favorable outcomes. Technical Knowledge and Skills required In depth understanding of all applicable tools and advanced skills in programing like Python, R, SAS etc. Excellent in data acquisition, preprocessing, modeling & deployment Excellent in critical thinking and problem-solving using analytics approach (including design of experiments) as well as basic ideas of Project Management Able to critically evaluate, analyze complex business information from multiple perspectives to make strategic decisions In-depth understanding of all stages of projects and identify relevant resources. Negotiates with stakeholders and suppliers to identify best practice outcomes Track record in delivering strong and impactful insights Thorough understanding of financial metrics used to benchmark competitors High affinity with applying new IT platforms / dash boarding software tools for reporting and experience in a complex, matrixed, multinational environment Strong background into Database design, modeling and architecture Strong background of development/management of platforms such as Power Apps, Power BI, Qlik, QlikSense, etc. Experienced knowledge of global medical device regulations, requirements, and standards, such as FDA, ISO13485, ISO14971, and EUMDR. Analytics solution life cycle competencies required Extensive knowledge of analytics principles; practiced and applied across areas of data wrangling, ML, recalibration and model deployment. Ability to develop and deliver data awareness raising programs to maximize organization benefits. Ability to provide strategic advises to senior executives. Provide leadership across technical projects leveraging internal data assets and external data. Soft Skills Required Good communication and presentation skills Highly driven, energetic, flexible, resourceful & ability to multitask Clarity of thoughts and vision Ability to ideate and bring solutions to the table Adherence to timelines, without sacrificing quality of output Hands on and detail oriented, with a strong ability to co-ordinate across different Geographies and with different stakeholders at Exec and Director/Sr. Director levels Work Experience 12+ years of increasingly responsible experience in analytics & data science roles, 6 to 8 years of people or project management experience. At least 5 years of experience in medical device, pharma, or other regulated industry required with an emphasis quality compliance/roles Academics MBA /BTech-BE from IIT/NITs or Tier 1 engineering schools only, MStat/MS (Math)/MA Econ from Tier 1 schools, MS Analytics from Tier 1 schools MSc degree in a quantitative discipline, e.g., Math, Statistics, Physics, Operations Research, Economics, Econometrics Established publication record in Q1 scientific journals or equivalent

Job Description Job Title CRO Wealth Management Pre-Deal Analyst Corporate Title Associate Location Mumbai, India Role Description About Chief Risk Office (CRO) The Chief Risk Office function has Group-wide responsibility for the management and control of all credit, market, operational, enterprise and liquidity risks and has the responsibility of continual development of methods for risk measurement, frameworks and creating a bank wide strong risk culture. About the Wealth Management (WM) business in the Private Bank Deutsche Banks Wealth Management business is one of the largest wealth managers worldwide. As a trusted partner of wealthy individuals and entrepreneurs, family offices and foundations, we create lasting value for clients. We specialize in developing bespoke solutions for our clients around the world, for instance wealth planning across successive generations and international borders, asset management with individual risk management, loans and deposits. All this is possible thanks to our global network, our many years of experience and our close collaboration with the Corporate Bank, Investment Bank and DWS. The Lombard Lending and Derivatives Risk Management Pre-Deal team is responsible for the analysis, monitoring and management of credit risk from Lombard Lending trades and IPB derivative trades across all asset classes. What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities You perform Pre-deal trade level Advance Ratio calculation for Lombard Lending collateral as well as Credit Exposure and Initial Margin calculation for derivatives - fixed income, foreign exchange, commodities, credit, Emerging Markets and asset-backed securities. The Pre-Deal assessment uses quantitative and qualitative risk management techniques such as VAR, Potential Future Exposure, back-testing, scenario and stress testing and identification of other non-trivial risks (liquidity, wrong-way, dislocation, concentration risk, gap risk). You review Advance Ratio calculation rules and coordinate the implementation of new rules. You update the WM methodology handbook, business requirement documentations, KOPs and calculation workbooks. You closely interact with Lending Business, IPB WM credit analysts and the IPB Agile team to discuss new trades, inherent risk and defend risk calculation approach, identify market trends, perform and communicate portfolio impact and concentration risk analysis, and identify and monitor deteriorating collateral. Your skills and experience University degree in Finance, Mathematics, Engineering, Physics, Economics, Econometrics, Statistics and if the degree is in Humanities subjects, then strong programming skills would be essential. Knowledge of financial markets, traded products, risk concepts and strong derivative product knowledge across multiple asset classes. Strong mathematical and statistical background, attention to details and strong analytical skills. Experienced in methodology development for financial products and excellent communication skills with ability to articulate technical and financial topics with Global stakeholders. 2-6 years working experience in Model Risk, Lombard Lending, Derivatives Business or Risk Management. Working experience in Excel and using large data sets in a statistical software package as Python for analysis and risk management. Able to multi-task and deliver under tight deadlines. How we ll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.

Senior Data Scien tist - Analytics M umbai, India About Argus: Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with 1,500 staff, Argus is an independent media organisation with 30 offices in the world s principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic. What we re looking for: Due to the continued growth of the business and the importance of the data we use on a daily basis , we are currently looking for a for a Senior Data Scientist to join the team in Mumbai. What w ill you be doing An exciting opportunity has arisen for a senior data scientist with expertise in R, R-Shiny and SQL to join our growing Data Science team in Mumbai. You will work closely with our Head of Data Science India, and our global team to support the development of new products for analytics with a particular focus on Petrochemicals. You will be responsible for building impactful data science solutions for business use cases, conducting research on large complex data sets to uncover meaningful patterns in data, employing mathematical and computational techniques to clean, manipulate, organise and model data into actionable insights and results. Apply novel data science, machine learning and statistical techniques to provide an unbiased and quantitative solution to critical business problems. Develop, structure and investigate your ideas by constructing hypotheses, testing them rigorously, conducting analyses, creating user prototypes, facilitating UAT, and finally presenting recommendations for improvement to current business processes. Build user-focused data science/analytics products based on novel business use cases for internal as well as external stakeholders. Develop and maintain models with a focus on commodity prices dynamics. Write production-level code (clean, optimised and well-documented code) Communicate findings timely through impressive visuals and insightful statistics. Skills and Experience: Degree in mathematics, finance, statistics, engineering, computer science or related field. Experience with statistics, regression, time series and econometrics is preferred. 4+ years Hands-on experience working in R and R-Shiny, good command over SQL with a passion for open-source solutions 2+ years experience in project management team management Robust Knowledge of Data Structures Algorithms, APIs, ETL processes, testing methodologies, cloud technologies (AWS) . Experience with designing and building exploratory data analysis and data visualisation Solution-oriented mindset and self-directed. Experience in using version control software, project management solutions Believe in the following Argus values: Passion, Integrity, Excellence and Results What s in it for you: Competitive salary Hybrid Working Policy (3 days in Mumbai office/ 2 days WFH once fully inducted) Group healthcare scheme 18 days annual leave 8 days of casual leave Extensive internal and external training Hours: This is a full-time position operating under a hybrid model, with three days in the office and up to two days working remotely. The team supports Argus key business processes every day, a s such you will be required to work on a shift-based rota with other members of the team supporting the business until 8pm. Typically support hours run from 1 1 pm to 8pm with each member of the team participating up to 2/3 times a week. For more details about the company and to apply please make sure you send your CV and cover letter via our website: www.argusmedia.com / en / careers / open-positions By submitting your job application, you automatically acknowledge and consent to the collection, use and/or disclosure of your personal data to the Company. Argus is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.

What we re looking for: Due to the continued growth of the business and the importance of the data we use on a daily basis , we are currently looking for a for a Senior Data Scientist - Optimization (12 months Contract) to join the team in Mumbai. What will you be doing An exciting opportunity has arisen for a senior data scientist - Optimization (12months contract) with expertise in R, R-Shiny and SQL to join our growing Data Science team in Mumbai. You will work closely with our Head of Data Science India, and our global team to support the development of new data science products. You will be responsible for building impactful data science solutions for business use cases, conducting research on large complex data sets to uncover meaningful patterns in data, employing mathematical and computational techniques to clean, manipulate, organise and model data into actionable insights and results. Apply novel data science, machine learning, operations research and statistical techniques to provide an unbiased and quantitative solution to critical business problems. Develop, structure and investigate your ideas by constructing hypotheses, testing them rigorously, conducting analyses, creating user prototypes, facilitating UAT, and finally presenting recommendations for improvement to current business processes. Build user-focused data science/analytics products based on novel business use cases for internal as well as external stakeholders. Develop and maintain models with a focus on commodity prices dynamics. Write production-level code (clean, optimised and well-documented code) Communicate findings timely through impressive visuals and insightful statistics. Skills Experience : Degree in mathematics, finance, statistics, engineering, computer science or related field. Experience with statistics, regression, time series, econometrics, and mathematical optimisation is preferred. Good understanding of fundamentals concepts of operational research and when they should be applied through a relevant academic or work experience. Demonstratable experience in analytical modelling and solving mathematical optimisation problems (e.g., Linear Programming, Mixed Integer Linear Programming, etc) using relevant packages in R programming language. 4+ years Hands-on experience working in R and R-Shiny, good command over SQL with a passion for open-source solutions 2+ years experience in project management team management . Knowledge of APIs, ETL processes, testing methodologies, cloud technologies (AWS) Experience with designing and building exploratory data analysis and data visualisation Solution-oriented mindset and self-directed. Experience in using version control software, project management solutions Believe in the following Argus values: Passion, Integrity, Excellence and Results What s in it for you: Competitive salary and company bonus scheme Flexible Working Policy Group healthcare scheme 18 days annual leave 8 days casual leave Extensive internal and external training Hours: This is a full-time position operating under a hybrid model, with three days in the office and up to two days working remotely. The team supports Argus key business processes every day, a s such you will be required to work on a shift-based rota with other members of the team supporting the business until 8pm. Typically support hours run from 1 1 pm to 8pm with each member of the team participating up to 2/3 times a week. Please send in your application via our official careers website at https: / / www.argusmedia.com / en / careers / open-positions . Jobs posted on other websites and that do not link to our careers website may not be legitimate and may be fraudulent. If you are contacted by someone whom you suspect may not be appropriately representing Argus, please send the details to us via an email with Recruitment Fraud in the subject title.

Hands on experience with programming languages such as MATLAB, SQL, R and/or Python Strong quantitative and problem-solving skills Knowledge and experience in data visualization would be a plus Responsibilities Role and responsibilities The major function of the role is to provide analytical, statistical, research and logistical assistance to the Default Ratings Analytics team within Credit Strategy Standards. Key responsibilities include: Collect structured/unstructured data of default and impairments Process, clean, and verify data for default and ratings performance research Utilize MATLAB, Excel, and SQL to query and manipulate large datasets to conduct statistical analysis Compile statistical data packets for rating methodology reviews Prepare data-oriented reports and presentations concerning ratings performance Support senior analysts in the drafting and visualization of default research publications Assist with ad-hoc quantitative projects and respond to internal as well as external data requests Qualifications Qualifications: Graduate/Post-graduate degree in Engineering, Financial Engineering, Econometrics, Economics, Statistics, Finance, Physics, Mathematics or Business preferred 2 years of relevant work experience required for Graduate degree candidates -- experience in financial analysis and credit risk a strong plus.

Skill required: Property & Casualty - Actuarial Science Designation: Actuarial Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? We help insurers redefine their customer experience while accelerating their innovation agenda to drive sustainable growth by transforming to an intelligent operating model. Intelligent Insurance Operations combines our advisory, technology, and operations expertise, global scale, and robust ecosystem with our insurance transformation capabilities. It is structured to address the scope and complexity of the ever-changing insurance environment and offers a flexible operating model that can meet the unique needs of each market segment.Claims settlements related any client property they own or any accidentsAdvise insurance agencies on how to compile and analyzes statistics and use them to calculate insurance risks and premiums. What are we looking for? Ability to establish strong client relationship Ability to manage multiple stakeholders Ability to handle disputes Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualifications Any Graduation

Analytics Lead / Analytics Manager Zenon Analytics is a global boutique consulting firm and a leading AI partner for Fortune 500 firms. We partner with clients across the globe to identify their highest-value opportunities, address their most critical challenges, and transform their enterprises using advanced analytics. In a nutshell: An Analytics Lead / Analytics Manager at Zenon Analytics takes the lead for analytics delivery on client projects. He/She works closely with the client to design, develop and implement cutting-edge analytics solutions for a variety of business problems. They are responsible for overall management of the analytics workstreams within the project, including managing the project team and their deliverables. They are also responsible for overall client stakeholder management and communications. The role of an Analytics Lead / Analytics Manager is a critical one at Zenon; we only consider candidates with strong academic and work credentials and a track record of innovative and successful applied analytics projects. What will you do Engage with clients to understand their business needs from an analytical standpoint and accordingly define the problem statement(s) to focus on. Design, develop, and deploy state-of-the-art, data-driven predictive models to solve business problems using the latest and most appropriate technologies in machine learning, statistical modelling and Operations Research. Deliver value in the marketplace by supporting teams serving clients and/or leading key research initiatives. Responsibilities include development of analytic solutions; pattern identification and feature extraction, variable selection; experimentation with algorithms, performance analysis and preparation for communication with internal and external clients, and training and development of junior analytics staff. Work will require effective coordination of global analytics and consulting team members. Some travel may be required to client locations. Contribute analytical thought leadership to assist on Business Development proposals. What are we looking for 6-9 years of experience and degree (B.Tech/M.Tech/MS/PhD or equivalent) in a quantitative field (i.e., Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.) from top tier academic institutions Strong communication skills Experience in managing global analytics teams in multiple locations is preferred Track record of analytical product development, innovation, or research (patents or publications) would be a plus Data science expertise - Python / R programming Have worked on semi-supervised problems Worked on NLP unstructured data / semi structured data Have prior experience in pre-trained models, like BERT, Glove, Worked on Neural Network, with experience in Tensor Flow, PyTorch Model development using RNN, CNN, LSTM Machine learning model development, hands on experience in Random Forest, XGboost, SVM etc Experience in unsupervised learning and optimisation Experience in model performance tuning Experience in Model governance and deployment Good to have experience Financial services or Healthcare industry experience will be a plus Experience in UiPath AI Fabric Worked on Cloud AWS Experience in bigdata hadoop PySpark exposure Exposure to Transfer learning

The Strategy Manager is a new role the India team has created to help them achieve their rapid growth ambitions for the next years. You will work in close collaboration with IMC s Indian leadership team and you will report to the Managing Director of the India office, Jocelyn Dentand. The working environment is collaborative and non-hierarchical, and you will manage various stakeholders both internally and externally. Your Core Responsibilities: Contribute to and shape definition of strategic priorities to help the India team achieve its growth ambitions over the next years. Assess attractiveness of a new opportunities based on opportunity size, competition, and internal capabilities. For example: make a business case for trading a new class of products, with cost and benefits analysis and an organizational, legal and compliance set-up. Drive real business impact by supporting the execution of the defined strategic priorities Help translate the strategy into planning. Support execution of specific strategic priorities. For example: build annual plans that tie to the long-term strategy with trading, tech and support teams, or develop a joint roadmap for the various teams that trade cryptocurrencies, including taking care of the synergies between the teams. Support on specific (ad hoc) strategic problems and opportunities Detect and solve ad hoc problems in a solution-oriented way by using analytical skills. Help detect (operational) bottlenecks within the organization and apply your problem-solving skills to work towards solutions. Run strategy off-sites for teams. For example: hold workshop to improve efficiency of central trading processes. Gather external insights, asses their implications for IMC strategy and help decide on a response Ongoing external engagement: play a pivotal role in corporate development projects relevant to the business (e.g. identify treats, opportunities and actions for IMC, leading acquisitions, establishing partnerships, etc.). Develop a perspective on industry trends/developments as well as on the competitive landscape in the secretive field of trading. For example: conduct global competitive analyses into the Indian and global equity markets, make a mapping of various players, revenues, FTEs, trading styles and strategies. Your Skills and Experience: Strategy consultancy experience at a top-tier consulting firm Outstanding problem solving and people skills Master s degree in Physics, Mathematics or Econometrics Ability to deal with organizational complexity and ambiguity Capable of dealing with a large scope of and senior stakeholders Likes to work in an innovative technology driven fast-paced environment, surrounded by highly educated, ambitious and collaborative colleagues About Us IMC is a leading global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, and Asia Pacific, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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

Embark your transformative journey as Quant Analytics Wholesale Credit Risk Vice President, where you will be responsible for developing best in class credit risk models using modern model development frameworks methodologies. You will be responsible to drive increase in value by developing innovative modelling and analytical solutions which will improve the credit risk management / mitigation process using broad data and cutting edge technology. To be successful as a Quant Analytics Wholesale Credit Risk Vice President you should have experience with: Hands on coding experience (as a full-stack developer / agile developer etc.) Preferable language Python, C/C++. You must have knowledge of the following in Credit Risk (Pillar 1 - Probability of Default (PD), Loss Given Default (LGD), Exposure of Default (EAD), IFRS9/CECL. CCAR, Stress Testing/Scenarios Modelling), Model Development and/or Model Validation (core development experience), Statistical Modelling (preferably for Wholesale credit book). Some other highly valued skills may include: Advanced Technical Degree (Masters / PhD / similar or equivalents) - Statistics, Engineering, Numerical Analysis, Mathematics, Physics, Econometrics, Financial Engineering, Computer Science, Financial Mathematics. Certification - GARP-FRM, PRM, CQF, AI/ML Courses, Coding and Computer Programming. 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 and digital and technology, as well as job-specific technical skills. This role is for Mumbai Location Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. 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 be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

WERE HIRING – FULL-TIME ACADEMIC WRITER (ECONOMICS) | WFO Are you an Economics enthusiast with a knack for research and analysis? Do you have expertise in Econometrics, Micro/Macroeconomics , and hands-on experience with R/Stata ? If yes, we want YOU on our team! Location: Kolkata Sector 5 / Noida Sector 63 ( Work from Office ) Education: MA/MSc in Economics Skills Required: Strong knowledge of Econometrics & Economic Theories Proficiency in R / Stata for data analysis Excellent academic writing & research skills Selection Process: Writing Test – Show us your expertise! Interview Round – Let’s discuss your potential! Training – Get hands-on experience! Why Join Us? Work in a dynamic, research-driven environment Enhance your skills with real-world applications Collaborate with top professionals in the field

AR delivers critical regulatory and risk metrics analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . AR has a unique vantage point in the firm s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for AR: Delivering regular and reliable risk metrics, analytics insights based on deep understanding of the firm s businesses and its client activities. Building robust, systematic efficient workflows, processes and procedures around the production of risk analytics for financial non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 3+ years of financial or non-financial risk industry experience.

About The Role :: In Scope of Position based Promotions (INTERNAL only) Job Title:Quant Analyst Corporate Title:Associate Location:Mumbai, India Role Description Group Strategic Analytics: Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Treasury Strat's The candidate is required to work in collaboration with London/New York/Frankfurt team on various quantitative and regulatory driven projects. Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess a very good English communication skill in order to coordinate and communicate their work effectively with various stakeholders spread across globe. Role Responsibilities Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with ex external stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Education/ Qualifications: Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) will be a plus Certification courses like CFA/FRM/CQF Your skills and experience Competencies: Programming Skills At least 4 years experience in Python/C++ programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics: Ability to work independently as well as flexibly within intra or inter-departmental groups. Continuous advancement of own skills and knowledge Can-Do attitude & Able to cope well under pressure and tight deadlines. How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

:" Background Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . A&R has a unique vantage point in the firm s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 3+ years of financial or non-financial risk industry experience. The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. ",