1143 Statistical Modeling Jobs - Page 14

Conduct in-depth research utilizing advanced AI and industry-standard tools to gather and analyze data related to market trends, industry dynamics, and the competitive environment Synthesize data from diverse sources into actionable insights, highlighting strategic implications for the Commercial Investment Bank Prepare detailed reports, presentations and whitepapers, that clearly communicate findings and recommendations Explore new analytical methods and stay updated on AI advancements to enhance research capabilities Support ad hoc research and deep-dive projects as requested by senior stakeholders, ensuring alignment with strategic objectives Required qualifications, capabilities skills Advanced degree in business administration, finance, economics, technology or a related field Minimum 3 years of experience in a research or strategy role Understanding of tools such as SQL, Python and statistical modeling software Preferred qualifications, capabilities skills Demonstrated success in conducting in-depth research and analysis, with a focus on strategic recommendations Skilled in AI tools, data analytics, and standard business software, with hands-on experience in leveraging technologies such as Large Language Models Strong written and verbal communication skills, with the ability to present complex findings clearly and impactfully to a senior audience Proactive, adaptable, and entrepreneurial with a creative problem-solving mindset Experience in leveraging statistical modeling techniques and working with large datasets is preferred Experience in a research or strategy role with exposure to the Financial Services industry is preferred

Job Summary: We are looking for a results-driven and detail-oriented Assistant Manager Advanced Analytics to support data-driven decision-making across key business functions. This role involves working closely with cross-functional teams to deliver actionable insights through advanced data analysis, statistical modeling, and data visualization. Key Responsibilities: Partner with business stakeholders to understand challenges and translate them into analytical solutions. Conduct advanced data analysis to identify trends, patterns, and opportunities for business growth and process optimization. Build dashboards, KPIs, and visualizations using tools like Power BI, Tableau, or Looker. Work on predictive modeling and statistical techniques to support initiatives in marketing, operations, finance, and product. Assist in building scalable data models and pipelines in collaboration with data engineering teams. Present analytical findings and recommendations clearly to senior management. Monitor performance metrics and drive continuous improvement based on insights. Required Skills: Strong analytical and problem-solving capabilities with business acumen. Proficiency in SQL and hands-on experience with Python or R for data analysis. Experience with data visualization tools such as Power BI , Tableau , or Qlik . Solid understanding of statistical modeling , predictive analytics , and machine learning techniques . Familiarity with cloud platforms (AWS, GCP, Azure) and working with large datasets. Excellent communication and stakeholder management skills. Preferred Qualifications: Bachelors/Masters degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Prior experience in retail, BFSI, e-commerce, or consumer tech analytics. Experience working with tools like Excel, Jupyter, Git , and collaborative platforms (e.g., Jira, Confluence).

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Assist PTS Team with business and market analytics for direct customer bids / RFQs by performing strategic pricing analysis and overall profitability analysis of the business opportunity Reports to analyse BU Pricing Contracts with Direct, Distribution or Subcontractors Perform Pre-Bid analysis and consolidate data for the evaluation of RFQs and proposals Assist with pricing and quotation procedure changes and improvements Interact regularly with Pricing, Sales, Product Management Regular, monthly, or quarterly agreement review and make pricing decisions Support Pricing Team with Ad hoc pricing analytics to improve margins Develop reports as required on Pricing KPIs for PTS BUs Ensure Backup plan and documentation are in place Identify the area of improvement and eliminate waste in routine tasks Participate actively in team goals and support teamwork Drive and support on projects to Win Business What your background should look like: Master of business - Finance, Marketing 3 to 6 Years of applicable experience Excellent communication skills Strong PC abilitiesexpert Microsoft Office and a working knowledge of database and advance excel applications is required Experience with SAP and Advanced Pricing Software is also a plus point Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).

Function/Craft: Analytics Position Title: Senior Associate Marketing Sciences Position Overview We are seeking a skilled and driven professional to join our Analytics Team. The ideal candidate will be analytically minded, hands-on, and possess a strong academic background, an entrepreneurial spirit, and a genuine interest in data analytics. This role requires the ability to leverage analytics to present information in a clear and impactful manner that supports fact-based decision-making. This role is based in Pune but will be supporting teams around the world. Responsibilities Accurately assess the effectiveness and performance of paid advertising campaigns by collecting, aggregating, processing, and analyzing large datasets from multiple sources, including proprietary agency analytics platforms. Pull data from multiple sources using automated methods; clean and validate data using standard processes and perform regular data quality checks. Support data processes such as ETL (extract, transform, load); write scripts to automate or process data with guidance, leveraging databases to store and harmonize large datasets for analysis. Build analytical models (e.g., marketing mix, brand awareness, marketing attribution ) and perform analysis with minimal guidance, using standard tools and applications with the ability to investigate non standard results. Load models into optimization platforms and run simulations and optimizations as directed. Create and update presentations, analytical dashboards, and simulation tools to support clients and internal teams. Coordinate with internal and external clients for projects and workflows to ensure high-quality deliverables and timely execution with good degree of independence. Participate in client meetings and present analytical insights to internal teams and stakeholders, communicating complex findings clearly and confidently. Foster a mindset of continuous improvement by identifying opportunities to enhance processes and increase efficiency. Handle ad hoc assignments within the scope of the role; apply technical knowledge and judgment to solve problems in straightforward situations. Document processes and establish best practices. Support multiple projects with complex scope and tight deadlines. Establish relationships with clients and stakeholders and train associates or new joiners in the organizations. Qualification - Required Skills Bachelors degree in Statistics, Mathematics, Econometrics, Quantitative Finance, Actuarial Science, Engineering, or a related field from a reputable university 3 to 5 years of experience in analytics, with a focus building statistical models or predictive modelling Strong proficiency with Microsoft Office, particularly Powerpoint and Excel, including its advanced features Fluency in data management, statistical and optimization languages, ideally one of these: R/SQL/PYTHON Strong knowledge of Statistics and Econometrics (e.g., R-square, MAPE, Hypothesis Testing) Excellent verbal and written English communication skills, with the ability to present data-driven insights effectively and simplify complex ideas to peers and senior leaders within agencies and with clients Proven track record of collaborating across teams to deliver actionable insights and enhance client deliverables. Excellent problem-solving skills, attention to detail and strong time management and organizational skills and open-minded with desire to self-develop and face new challenges Qualifications - Desired Skills Ability to thrive and enthusiasm to work in a fast-paced, ambiguous, and dynamic environment, with the capability to manage multiple priorities under pressure. Experience in the marketing domain and media measurement, marketing mix and ROI measurement, simulation or optimization Experience with industry tools such as Syndicated Consumer (Simmons, MRI), Syndicated Sales (Nielsen Polk, JD Powers), Media Consumption (Nielsen, Arbitron, Comscore), Paid Media Monitoring (Kantar, AdViews) and Social Media Monitoring (NetBase, Sysomos) Prior project management experience is a plus

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness Mandatory Skills: Data Analysis. Experience: 3-5 Years.

Responsibilities: *Analyze large database using Python & SQL. * Design, Develop and evaluate machine learning modules. * Collaborate on project delivery within timelines. * Present findings through clear documentation. Must know Artificial Intelligence

To support Cross Asset Strategy team of one of the top global investment banks in day-to-day research - this includes proficiency in excel, good understanding of macroeconomic concepts, working knowledge of any statistical software, econometric modelling, analysing macroeconomic themes and basic report writing skills. Responsibilities: Create and update excel based databases on a regular basis. Gather data from various public sources. Analysis of large datasets to identify patterns & trends. Complete understanding of balance of payments, government financing, debt, FX, international trade, monetary and fiscal policies. Build end to end econometric models using time series methods in Python/Matlab/Eviews. It also includes sound understanding of economic fundamentals and their inter relationship. Monitor and provide support for existing automation projects and review current projects for opportunities that drive improvement in the process. Assist in preparation and publication of weekly, monthly and quarterly deliverables. Keep abreast with important macro-economic news/FX and rates market developments which impact emerging markets. Skillsets/ Competencies: Strong knowledge of financial market and economic fundamentals. Experience in econometric analysis/statistical modelling Advanced excel, charting and PowerPoint skills Experience or skills in Python/ Matlab/ Eviews or other statistical software is highly desirable Excellent quantitative skills and high level of attention to detail and accuracy Working experience of Bloomberg and Haver is preferred Strong written skills, including ability to effectively communicate economic/financial concepts Strong communication skills with proven ability to interact with global clients Roles and Responsibilities To support Cross Asset Strategy team of one of the top global investment banks in day-to-day research - this includes proficiency in excel, good understanding of macroeconomic concepts, working knowledge of any statistical software, econometric modelling, analysing macroeconomic themes and basic report writing skills. Responsibilities: Create and update excel based databases on a regular basis. Gather data from various public sources. Analysis of large datasets to identify patterns & trends. Complete understanding of balance of payments, government financing, debt, FX, international trade, monetary and fiscal policies. Build end to end econometric models using time series methods in Python/Matlab/Eviews. It also includes sound understanding of economic fundamentals and their inter relationship. Monitor and provide support for existing automation projects and review current projects for opportunities that drive improvement in the process. Assist in preparation and publication of weekly, monthly and quarterly deliverables. Keep abreast with important macro-economic news/FX and rates market developments which impact emerging markets. Skillsets/ Competencies: Strong knowledge of financial market and economic fundamentals. Experience in econometric analysis/statistical modelling Advanced excel, charting and PowerPoint skills Experience or skills in Python/ Matlab/ Eviews or other statistical software is highly desirable Excellent quantitative skills and high level of attention to detail and accuracy Working experience of Bloomberg and Haver is preferred Strong written skills, including ability to effectively communicate economic/financial concepts Strong communication skills with proven ability to interact with global clients

Augmenting agriculture commodity research. The candidate needs to have a strong understanding of agriculture commodities and should have been tracking this on a regular basis and preparing client consumable reports The role will involve preparation of commodity reports, price outlook and regular monitoring basis primary and secondary research It will also involve client interactions for pitching new opportunities Preparing framework, models and sample output for new commodity reports The candidate should have the ability to engage with clients from an end-to-end perspective Interaction with domestic as well as international clients. Enhancing current coverage on the agriculture sector research (current coverage revolves around assessing farmer profitability for key crops at a Pan India and region level, also working on specific problem statements of agriculture companies and tailoring research solution basis the problem statement) Have an entrepreneurial bent of mind and drive new products in agriculture domain. 10. It is preferable if the candidate has strong on ground as well as client connect across the value chain- producer, traders, end use companies (food processing, trade houses to name a few). 11. Should have strong understanding of farmer behaviour, crop patterns, structural and dynamic aspects of the agriculture sector

Optimise RoI by monitoring user conversion funnel across different channels Use analytics tools like GA, Mixpanel & Appsflyer to monitor, analyse & infer user behavior, funnels and conversion rates from various marketing campaigns Prepare new reporting frameworks to achieve marketing targets or optimise ongoing campaigns Liasoning across marketing functions to ideate, track & automate new growth hacks to achieve business goals.

As the Lead Data Scientist at Finicity, a Mastercard company, you will have the opportunity to lead and mentor a team of data scientists in developing production-grade services and capabilities. Your role will involve planning and directing data science and machine learning projects, designing and implementing machine learning models for various financial applications, and measuring and improving the performance of these models. You will be expected to propose creative solutions to challenges in the financial industry, present technical findings to internal and external stakeholders, and leverage best practices in machine learning and data engineering to develop scalable solutions. To excel in this role, you should have a minimum of 8 years of experience in data science and machine learning model development and deployments. Exposure to financial transactional structured and unstructured data, as well as experience in transaction classification, risk evaluation, and credit risk modeling would be advantageous. Additionally, you should possess a strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques. Proficiency in SQL and database management is preferred, along with experience in technologies such as Kubernetes, Containers, Docker, REST APIs, and Event Streams. Furthermore, you should have familiarity with relevant tools and frameworks like Tensorflow, Python, Sklearn, and Pandas. Your ability to collaborate effectively and come up with innovative solutions will be crucial in this role. Ideally, you should have a background in Finance or FinTech and hold a Bachelors or Masters Degree in Computer Science, Information Technology, Engineering, Mathematics, or Statistics. In addition to your technical skills, you should demonstrate a commitment to corporate security responsibilities. This includes abiding by Mastercard's security policies, ensuring the confidentiality and integrity of accessed information, reporting any security breaches, and completing mandatory security trainings as required. Your role as a Lead Data Scientist at Finicity will involve driving innovation and problem-solving in the data science and analytics team to contribute to the financial health of consumers and businesses.,

We are seeking a highly analytical and strategic professional to develop and implement the Power Curve Strategy Model (PCSM) to optimize business performance, risk assessment, and decision-making processes. The ideal candidate will leverage data-driven insights to identify performance inflection points and create strategies that maximize efficiency and profitability. Key Responsibilities: Develop & Implement PCSM: Design, model, and optimize power curve strategies to enhance business growth, efficiency, and risk mitigation. Data Analysis & Insights: Use statistical modeling, machine learning, and business intelligence tools to analyze trends and determine power curve efficiency. Strategic Planning: Collaborate with leadership to integrate PCSM insights into business strategy, pricing models, and operational planning. Performance Optimization: Identify key inflection points on the power curve and develop action plans to improve business outcomes. Risk Management: Assess risks and uncertainties related to strategic decisions and develop mitigation plans. Cross-functional Collaboration: Work with finance, marketing, and operations teams to align PCSM with company objectives. Reporting & Visualization: Present findings through dashboards, reports, and executive briefings. Qualifications & Skills: Bachelor's/Master's in Business, Economics, Data Science, Finance, Engineering, or a related field Experience with statistical modeling, predictive analytics, or machine learning Proficiency in Excel, Python, R, SQL, or BI tools (Tableau, Power BI, etc.) Strong problem-solving, strategic thinking, and decision-making skills Ability to communicate complex data insights in a clear and actionable manner Experience in strategy consulting, risk analysis, or financial modeling is a plus

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomms Audio Systems team is seeking a talented and highly motivated engineer specialized in the implementation of Voice AI and Audio solutions. You will work with a team to prototype, optimize, and productize state-of-the-art ML models, ensuring efficient deployment on snapdragon platforms Responsibilities: - Develop, optimize, and deploy Voice AI and audio ML models for audio applications, with a focus on inference efficiency across NPUs, GPUs, and CPUs. - Perform model evaluation, quantization, and compression to enable fast, robust inference on embedded hardware. - Analyze and compare model architectures (such as Diffusion Models, U-Nets, Transformers, BERT, BART, etc.) for use in audio applications. - Collaborate with cross-functional R&D, systems, and integration teams for system use case verification and commercialization support. - Contribute to the design and software implementation of audio ML models in embedded C/C++ and Python. - Evaluate system performance, debug, and optimize for performance and robustness. - Participate in industry trends, benchmarking and performance analysis of various Model architecture, and bring up-to-date architectural or technical innovations to the team. Requirements: - Strong programming skills in C/C++, Python. - Experience with audio processing and embedded solutions. - Hands-on experience working with audio framework and audio solutions on any platform - Familiarity with ML frameworks (PyTorch, TensorFlow, ONNX, etc.). - Knowledge of model quantization and compression techniques, and experience optimizing inference and deployment on embedded hardware. - Strong understanding of ML model architectures such as, CNNs, RNNs, Transformers, U-Nets, and statistical modeling techniques. - Understanding of DSP or Microcontroller architectures and frameworks - Experience developing and debugging software on embedded platforms; familiarity with software design patterns, multi-threaded programming (e.g., POSIX, PTHREADS), and fixed-point coding. - Excellent verbal and written communication skills; ability to work independently and as a team player in geographically dispersed, multidisciplinary teams. - Proven ability to work in a dynamic, multi-tasked environment "” quick learner, self-motivated, and results-driven. Minimum Qualifications: Bachelors, Masters or PhD in Computer Science, Electronics and Communication, Electrical Engineering, or a related field (or equivalent work experience). Preferred Qualifications: - Experience working with Qualcomm AI HW accelerators (NPUs) and Qualcomm SDKs - Knowledge of Qualcomm Audio framework, platforms and tools Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Management Level: Ind & Func AI Decision Science Analyst Job Location: Bangalore / Gurgaon Must-have Skills: Life Sciences/Pharma/Healthcare projects and delivering successful outcomes, commercial, clinical, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Proficiency in Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI Job Summary We are seeking an experienced and visionary - Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. Key Responsibilities Support delivery of small to medium-sized teams to deliver consulting projects for global clients. An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., Acquire new skills that have utility across industry groups. Additional Information Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Management Level: Ind&Func AI Decision Science Consultant Job Location: Bangalore / Gurgaon Must-have Skills: Excellent understanding of Pharma data sets commercial, clinical, Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI. Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Key Responsibilities An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Provide Subject matter expertise in various sub-segments of the LS industry. Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Additional Information Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIA set of tasks to provide insights about the effectiveness of HR processes, procedures and policies, help make data-driven decisions based on the information collected and help HR to move from operational to tactical or strategic partner. What are we looking for HR Analytics Text Analytics Python Adaptable and flexible Ability to work well in a team Commitment to quality Agility for quick learning Prioritization of workload Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

Job Title - Ind & Func AI Decision Science Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Risk Analytics Good to have skills: Experience in financial modeling, valuation techniques, and deal structuring. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstream of small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders o Practice Enablement o Guide junior team members. o Support development of the Practice by driving innovations, initiatives. o Develop thought capital and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards o Anti Money Laundering AML scenarios/alerts, Network Analysis o Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic Requirements: Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Roles and Responsibilities: Conceptualize and implement early warning triggers & strategies from fraud perspective in both assets and liabilities Develop analytics to identify suspected frauds in both credit and non-credit areas Monitor efficacy of the analytical / predictive models implemented and advise updations/modifications Monitor effectiveness of triggers and rules set for fraud identification and suggest refinements/additional rules to improve efficacy and accuracy Design fraud monitoring framework through data analytics and collaboration with first line of defense Analyze historical data on EWS, RFA and credit frauds across industry to develop and implement EWS triggers Interpret data and present actionable insights to key stakeholders Lead collaboration between stakeholders RCU, product, analytics, IT, BSG & business to design/implement solutions w.r.t. Fraud identification and monitoring Monitor & maintain fraud analysis solutions / models to improve efficiency & effectiveness Collaborate with FinTechs / external vendors for exploring on new ideas / innovations and implement the same Presentation to relevant committees and senior management: Job Requirements: Candidate should have minimum 5-6 years experience in analytical/statistical modelling and data analytics in Fraud Risk with overall experience of at least 8 years. Prior experience in Analytics on Python/SAS is must. Candidate should have excellent logical thinking and solution building skills. Above average to advanced excel and presentation skills Good written and verbal communication skills Professional Qualifications - MSc Statistics/ MTech/BTech/MBA from Tier1 colleges or universities with CFE certification preferred

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA freshers Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing. Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop. 4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IADs Audit plan for the calendar year. To assist the Team Supervisor / Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor. Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies. Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.) Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss / agree with management for effective and timely remediation plans. Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.) Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach. Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors / Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotaks values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles] Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotaks Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes. Person who can work alone, close audits and manage stakeholders Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelors degree mandatory). A Bachelors degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas: Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

Grade M1 to M4 Reports to: Lead/Principal Data Scientist Is a Team leader No Team Size: -- Role Data Scientist/Sr Data Scientist Business: Not Applicable Department: Analytics Sub-Department Not Applicable Location: Mumbai Role As a Data Scientist specializing in to building Analytical Models for Banks/NBFCs/Insurance industry, your primary responsibility is to utilize machine learning algorithms or statistical models to optimize Business Processes across Customer Life Journey. You will be required to build the model pipeline, work on its deployment and provide the required support until its last leg of adoption. Your role involves collaborating with cross functional teams to develop predictive models that assess Credit Risk and/ or personalize Customer Experience. You will also be responsible for identifying relevant base for targeting (cross-sell/up-sell) and running these campaigns from time to time. Key Responsibilities 1.Writing Optimized Code Develop and maintain efficient, scalable code for model pipelines Implement best practices in coding to ensure performance and resource optimization 2. Version Control and Lifecycle Configuration Familiar with best practices to manage codebase changes with available resources Maintain and update configuration files to manage the lifecycle of data science models 3. Extracting Usable Information from Data Translate business needs into data-driven solutions and actionable insights Conduct thorough exploratory data analysis to uncover trends and patterns. Create and maintain feature repositories to document and manage features used in models 4. Building Robust Models Develop models that are reliable and generalize well across different time periods and customer segments. Continuously monitor and improve model performance to adapt to changing data and business conditions 5. Publishing Model Outcomes Communicate model results and insights effectively to stakeholders. Facilitate the adoption of models by ensuring they meet business needs and are user-friendly. Qualifications Master/PGDM in Statistics/Economics OR MCA/ IIT - Btech/Bachelors in Statistics + up to 2 years of relevant experience Role Proficiencies Must Have Skills Ms Excel & PowerPoint SQL Python Supervised & Unsupervised machine learning algorithms Strong Communication skills Collaborative Mind-set Pro-active Approach to problem solving & stakeholder engagement Good to have Skills SAS AWS S3/ Sagemaker Version Control

You will be working as a Model Risk Analyst in the Risk department, specifically in the Model Risk Management (Market Risk) team based in Mumbai. Your primary responsibility will be to lead initiatives aimed at enhancing the accuracy, availability, granularity, and coverage of the existing model validation process. Additionally, you will be expected to develop tools for process automation to streamline the validation process. Your role will involve independently performing statistical and mathematical model development or validation for Retail Lending Scorecards. You will also be responsible for conducting validation exercises for Wholesale Rating Models, which includes quantitative and qualitative tests on PD Calibration, Discriminatory Power of the models, Sensitivity of parameters, and Rating Migration tests. Furthermore, you will be required to validate Market Risk Models related to Derivative & Fixed Income Valuations, Bootstrapping, VaR, Sensitivity, Capital Charge Models, Interest Rate, and FX Simulations. A key part of your role will be to successfully complete end-to-end validation exercises for the models allocated as quarterly deliverables. Additionally, you will be expected to provide smart inputs and initiatives for other team deliverables to contribute to the overall success of the team.,

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. As a ML Developer at EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY's sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements: - A bachelor's degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance, or a related field with adequate industry experience. - Technical skills requirements include developing and implementing machine learning models, conducting exploratory data analysis (EDA), applying dimension reduction techniques, utilizing statistical models, evaluating and validating models, solid background in Python, familiarity with Time Series Forecasting, basic experience with cloud platforms such as AWS, Azure, or GCP, and exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker). Additional skill requirements: - Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. - Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. - Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. - Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. - Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. Join us in building a better working world at EY, where opportunities for personal development, skill advancement, and career progression await. Be part of a diverse team of professionals dedicated to creating long-term value for clients, people, and society while fostering trust in the capital markets. Apply now and be a part of our journey towards a better future.,