1576 Predictive Modeling Jobs - Page 26

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : PySpark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in developing innovative solutions to enhance business operations and efficiency. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and implement efficient PySpark applications.- Collaborate with team members to enhance application functionality.- Troubleshoot and resolve technical issues in applications.- Conduct code reviews and provide constructive feedback.- Stay updated with the latest trends and technologies in PySpark development. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data processing and manipulation.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on experience in implementing various PySpark functionalities.- Solid grasp of data munging techniques for data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while ensuring that all development adheres to best practices and standards. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing RESTful APIs.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP ABAP Development for HANA.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : ServiceNow IT Service Management Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow IT Service Management- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in ServiceNow IT Service Management- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Business Process Architect Project Role Description : Analyze and design new business processes to create the documentation that guides the implementation of new processes and technologies. Partner with the business to define product requirements and use cases to meet process and functional requirements. Participate in user and task analysis to represent business needs. Must have skills : Business Analysis, Real Time Character Modeling, Google Cloud Data Services Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Process Architect, you will analyze and design new business processes to create documentation for implementing new processes and technologies. Partner with the business to define product requirements and use cases, and participate in user and task analysis to represent business needs. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Develop innovative business process models.- Implement process improvements to enhance efficiency.- Conduct process audits to ensure compliance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Business Analysis, Google Cloud Data Services, Real Time Character Modeling.- Strong understanding of process optimization techniques.- Experience in business process reengineering.- Knowledge of process mapping and modeling tools.- Ability to conduct business process analysis. Additional Information:- The candidate should have a minimum of 12 years of experience in Business Analysis.- This position is based at our Mumbai office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Oracle Integration Cloud Service (ICS) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationExternal RRD - Resource not identified Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring that the applications are developed and implemented effectively to support the organization's needs. Your typical day will involve collaborating with the team, making team decisions, engaging with multiple teams, and providing solutions to problems for your immediate team and across multiple teams. You will also contribute to key decisions and play a crucial role in delivering high-quality applications. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Design, build, and configure applications to meet business process and application requirements- Ensure that the applications are developed and implemented effectively to support the organization's needs- Contribute to key decisions and play a crucial role in delivering high-quality applications Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Integration Cloud Service (ICS)- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Oracle Integration Cloud Service (ICS)- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Databricks Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : Any Btech Degree Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for creating efficient and scalable applications using Microsoft Azure Databricks. Your typical day will involve collaborating with the team to understand business requirements, designing and developing applications, and ensuring the applications meet quality standards and performance expectations. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with the team to understand business requirements and translate them into technical specifications.- Design, develop, and test applications using Microsoft Azure Databricks.- Ensure the applications meet quality standards and performance expectations.- Troubleshoot and debug applications to identify and resolve issues.- Provide technical guidance and support to junior developers.- Stay updated with the latest industry trends and technologies related to application development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Databricks.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Microsoft Azure Databricks.- This position is based at our Hyderabad office.- A Any Btech Degree is required. Qualification Any Btech Degree

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Delhi, Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- 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. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role 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. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., 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. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Qualification Who are we looking for Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. 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 Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Plant Maintenance (PM) Good to have skills : Accenture Delivery Methods (ADM) Estimators, Accenture Delivery Methods (ADM)Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring that the applications are developed and implemented efficiently and effectively. Your typical day will involve collaborating with the team to perform tasks, making team decisions, and engaging with multiple teams to contribute to key decisions. Additionally, you will provide solutions to problems for your immediate team and across multiple teams, showcasing your problem-solving skills and expertise in application development. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Ensure efficient and effective development and implementation of applications- Design and build applications to meet business process and application requirements- Contribute to the decision-making process for application development Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Plant Maintenance (PM)- Good To Have Skills: Experience with Accenture Delivery Methods (ADM) Estimators- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in SAP Plant Maintenance (PM)- This position is based at our Pune office- A 15 years full time education is required Qualification 15 years full time education

Admini Boosting Productivity is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques 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

Exp: 7 to 15 years Location: Only Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc. Role and Responsibilities: - Primary day-to-day client contacts and often interact with C-level executives. - Is primary client day-to-day contact & ensures client needs are well understood, defined & met - Serves as the primary interface between senior client management and senior leadership (VPs and SVPs) - Interacts regularly with clients to understand business requirements, define analytical problems, structure and communicate solutions and ensure client satisfaction with strong business driving results - Manages / leads 1-2 engagement/ projects with different team structures and service delivery models. Responsible for driving revenue generating from these accounts - Leads project teams of 3-6 consultants or more, and/ or Team Lead and Analysts in all aspects of project execution - Plays critical role in defining the problem, structuring the solution, and executing against it - Clearly defines project deliverables, timelines and methodology laying out the project plan - Owns the execution of the project, with on time delivery every time, ensuring all project goals are met - Manages team members, including definition of objectives, oversight of execution and evaluation of performance - Provides thought leadership and delivers business insights to identify and resolve complex issues critical to their clients' success - Candidate Profile: - 7+ years of experience comprising analytics service delivery, consulting, solution design and client management - Experience and strong knowledge of the analytics service industry with focus on B2C & Omni-channel retail across customer lifecycle and customer journey - Demonstrable leadership ability, superior problem solving and people management skills - Excellent listening, written communication and presentation skills - Experience / exposure to marketing, operations, sales, merchandizing and supply chain, retail strategy, project management, cost reduction, and business development for Retail and Media organizations - Master's degree in management, data science, economics, mathematics, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning, etc Familiarity with tools like SQL, R, Python, etc Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. Insert Pyramid & Team Overviews Add paragraph describing the scope of work About you: Four-year degree or equivalent experience 1+ year as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience [add any specific analyst experience needed here] Intermediate SQL experience writing complex queries Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models including statistical analysis Experience in analytics tools such asSQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII: At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Team overview Target Global Supply Chain and Logistics (GSCL) is evolving at an incredible pace. We are constantly reimagining how we get the right product to the guest even better, faster and more cost effectively than before. We are becoming more intelligent, automated and algorithmic in our decision-making, so that no matter how guests shopin stores or on Target.comwe deliver the convenience and immediate gratification they demand and deserve. We are on a mission to win decisively over any competitor, with a seamless and superior guest service experience unlike any they can offer. Our teams work with the agility our mission requires, and we constantly come together to implement new processes in record time. So were looking for exceptional people who are proactive, creative, independent, innovative, risk-savvy and comfortable working in varying degrees of ambiguity. Are you a critical thinker who seeks the root cause and can analyse both qualitatively and quantitativelyAre you a creative problem-solver who simplifies problems, quickly identifies solutions, commits to a plan and then positively influences others to execute itIf so, you will have success on one of our dynamic teams. About the Job : The Sr Manager Product Ops Analytics is responsible lead a high-performing team responsible for business process analysis, product validations, and business monitoring. The ideal candidate will work closely with product and business owners to enhance existing product capabilities, drive process improvements, and ensure seamless operation across the supply chain. LeadershipLead, mentor, and develop a team of product ops analysts, fostering a culture of continuous improvement and high performance. Data AnalysisGather, review, and analyze complex data sets to provide actionable insights that drive strategic decisions on improving inventory placement and positioning. Cross-Functional CollaborationPartner with cross-functional teams, including supply chain, logistics, and technology, to execute key production levers and manage the first mile and middle-mile network. Opportunity IdentificationConduct thorough data analysis and research to identify new opportunities for enhancing overall supply chain metrics and performance. Trend AnalysisAnalyze underlying trends to identify potential product issues, provide recommendations for improvements, and enhance existing product features. Quality AssuranceTest and monitor new features in production environments to ensure they perform as expected and meet quality standards. Defect ManagementCollaborate with product owners and engineering teams to drive defect management processes, ensuring a seamless and efficient production environment. Peak Season ExecutionExecute defined key tasks during peak volumes to ensure operational excellence and minimal disruptions. Reporting/Working Relationships Reports to Director Product operations based out of Target in India Located in Bangalore About you Bachelors degree in any discipline with 8 -12 years of relevant experience. Proven experience in managing and developing high-performing teams. Strong knowledge of supply chain processes and systems. Proficiency in data analysis and reporting with advanced skills in Microsoft Excel, Word, and PowerPoint. Excellent organizational, prioritizing, and problem-solving abilities. Exceptional communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. SQL knowledge Reporting and Dashboarding in Domo (or similar) Useful Links: Life at Targethttps://india.target.com/ Benefitshttps://india.target.com/life-at-target/workplace/benefits Culture https://india.target.com/life-at-target/belonging

: Job TitleAnalytics - Data Analyst, AVP LocationMumbai, India Role Description OverviewBusiness Division Deutsche Banks Corporate Bank (CB) a market leader in cash management, trade finance & lending, securities services, and Trust & Agency Services. Focusing on the treasurers and finance departments of corporate and commercial clients and financial institutions across the globe, our universal expertise and global network allows us to offer truly integrated and effective solutions. OverviewBusiness CBs Trust and Agency Services (TAS) team, with offices in New York, California, London, Frankfurt, Milan, Lisbon, Dublin, Hong Kong, Singapore, and Tokyo has long been recognized as a leader in the provision of administrative and fiduciary services to the global debt and equities markets. It supports structures from the simplest to the most complex, covering Asset Backed Securities, CLOs and Managed accounts, Corporate Debt, Escrows, Project Finance, Loan Agency, and Depositary Receipts. OverviewRole The Core Analytics Analyst provides high quality, meaningful analysis to internal stakeholders in a timely manner, to address current and future business needs. They may perform project based analytical work for a specific business/function and/or manage a team of Analytics Analysts. They build and leverage the analytical toolkit and research techniques to create new insights to bring added value to stakeholders. They also drive the development of best practice approaches and take responsibility for enhancing the quality of analytical outputs delivered to stakeholders. The successful candidate will be required to cover European working hours supporting the EMEA business. Corporate title will depend on the relative experience of candidate. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Work closely with TAS business to understand and scope reporting/analysis/process enhancement requirements. Design, create and test reports using SQL/SSRS/Tableau/Excel Design, build, test and maintain Microsoft Access databases. Design, build, test and maintain SSIS packages/VBA. Build and maintain complex T-SQL stored procedures. Provide review of existing processes and implement improvements. Provide day to day support for internal and client users of TAS analytics applications. Support fellow Analysts, client services teams and wider business on an ongoing basis. Provide innovative design and implementation for TAS new projects. Your skills and experience Set up and maintain automated data processes. Monitor and audit data quality on existing processes. Develop and support reporting processes and prepare reports for internal and external audiences using business analytics reporting tools. Identify areas to increase efficiency and automation of processes. Positive attitude and collaborative skills to support and develop business critical applications. Open to take challenges and provide solutions business critical requirements. Understand and document business requirements. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool and Strong SQL skills. Excellent communication skills strong verbal skills to be able to communicate directly with the business. They need to be able to explain technical concepts to non-technical users. Analytically minded need to be able to define business problem, source and collect data, establish facts, and proffer solutions. Strong business interest a desire to understand and work with the business. Pro-active - they must work well independently with minimal supervision. Detail orientated Will be responsible for accuracy and integrity of data so need to pay deliberate attention to detail. Diligent Must take ownership of a problem and see it through to its resolution. Multi-year experience developing solutions utilizing the technologies / platforms below. MS Excel MS Access/VBA Sybase / MS SQL Server SQL SSRS, SSIS Tableau Microsoft power tools (nice to have) Proven track records of delivering small to medium sized multi-user business solutions. BS or higher degree in a relevant field such as Computer Science, Economics, Finance or Mathematics. How well support you

: Job Title Model Validation Analyst - Derivative Pricing LocationMumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policies The Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders including Front Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers. Your skills and experience Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in a high level language primarily Python. Excellent communication skills both written and oral. Education/Qualifications Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application. How well support you 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.

Primine Software Private Limited is looking for Machine Learning Engineer to join our dynamic team and embark on a rewarding career journeyA Machine Learning Engineer is responsible for designing, building, and maintaining systems that use artificial intelligence (AI) and machine learning (ML) algorithms to solve complex problems. 1.Developing and implementing ML algorithms: The Machine Learning Engineer develops and implements machine learning algorithms to solve specific problems, such as natural language processing, computer vision, or predictive modeling.2.Building data pipelines: The Machine Learning Engineer is responsible for building data pipelines that collect, store, and preprocess data used in machine learning algorithms.3.Creating and maintaining ML infrastructure: The Machine Learning Engineer is responsible for creating and maintaining ML infrastructure, including hardware, software, and cloud platforms, that support the development and deployment of ML models.4.Testing and validating ML models: The Machine Learning Engineer tests and validates ML models, ensuring that they are accurate, robust, and scalable.5.Troubleshooting ML systems: The Machine Learning Engineer troubleshoots ML systems, identifying and resolving issues related to performance, accuracy, and scalability.6.Deploying ML models: The Machine Learning Engineer deploys ML models in production environments, integrating them with other software systems and ensuring that they are reliable and scalable.

Job Responsibilities : ( Must have ) Six Sigma Green Belt OR Black Belt certification Graduate in any stream Analytics Good knowledge of MS Office Descent knowledge of statistical tools Drive the Six Sigma culture and initiative across the organization with commitment, passion and persistence Ensure Positive contribution to the companys Gross margins and Operating margins. Lead/ participate in Six Sigma and Lean projects. Identify and Mentor Six Sigma and Lean projects Mentor Green Belt Trainees Participate in consulting assignments Internally and at Client site Support/ Enable change management ensuing from the projects Value stream Mapping/ Process mapping Follow up on action items Recommend new/ improvements to delivery models Identify and ensure implementation automation projects, process improvements and cost optimization opportunities. Support maintenance of World Class Delivery standards Support Initiatives from CEOs office through CEO PMO Create reports for COO, Functional heads\Operational Heads and QPE. Monitor dashboards and issues for early warning signals and trends. Support for RFP, RFI, Sales Collaterals. Six Sigma and other (ARM grid) trainings. Participate in various meetings as part of the profile Job Responsibilities : (Desired) Should have done projects for Green Belt and Black Belt Good Communication skills Good interpersonal skills Criteria : (Must have) Must have driven process improvement plans/continuous improvement in customer service domain. Should be aware of DMAIC & Hypothesis Testing Graduate. Criteria : (Desired) Added advantage Mini Tab. Should be aware of 7 QC tools. Shifts timings: Flexible shifts Week Off : Saturday & Sunday Transport : NA

Analytics & Business Intelligence: Build and maintain comprehensive analytics dashboards using tools like Tableau, Power BI, or Google Analytics Develop KPI frameworks and performance metrics for marketing campaigns, lead generation, and student acquisition Create automated reports for stakeholders including conversion funnels, ROI analysis, and attribution modeling Conduct advanced analytics including predictive modeling for student enrollment forecasting Monitor and analyze competitor digital presence and market trends Data Management & Integration: Work with IT to establish data pipelines connecting Salesforce, Application Center, and advertising platforms Ensure data quality, consistency, and accuracy across all marketing systems Create unified customer data platform for 360-degree view of student journey Performance & Marketing Automation: Design and implement marketing automation workflows across lead lifecycle from awareness to enrollment Manage and optimize Salesforce CRM system including lead scoring, nurturing campaigns, and sales pipeline automation Develop automated reporting systems for real-time campaign performance monitoring Analyze marketing funnel performance and identify optimization opportunities Technology &Vendor Management: Evaluate and implement new marketing technology solutions Manage relationships with technology vendors and ensure optimal platform utilization

We are looking for a skilled professional with 4 to 9 years of experience to join our team as an Area Credit Manager in Ahmedabad. The ideal candidate will have a strong background in corporate finance and credit appraisal, with excellent analytical and leadership skills. Roles and Responsibility Support and collaborate with business teams to manage end-to-end credit approval for the designated region. Underwrite cases and present them to senior level, authorizing deviations documented by underwriters in compliance with credit policy. Finalize review of credit memos and sign-off on approvals or declines after checking documentation requests. Approve disbursement requests based on achieved adherence to requirements on agreement value and full documentation attainment at the branch level. Monitor and oversee PDD management, ensuring timely completion of personal discussion documents through customer visits in high-value cases. Engage in development, implementation, review, and monitoring of various credit programs, providing training and coaching to continuously upgrade the competency of the team. Ensure due diligence in credit analysis, customer application screening, evaluation, underwriting, and sanctioning of loans. Oversee and initiate follow-ups with external vendors (FI, Legal & Technical valuations) to ensure timely query resolution/report submission and eliminate undue delays. Coordinate with the recoveries team and generate business insights. Lead a team of credit approvers to ensure portfolio quality and delinquencies. Develop and implement strategies to enhance consumer credit risk strategy and evolve underwriting norms customized to local market needs. Job MBA/PGDBA/PGPM/CA or equivalent degree. Minimum 4 years of experience in corporate finance and credit appraisal. Possess strong knowledge of credit policy, underwriting, and risk management. Demonstrate excellent analytical, leadership, and communication skills. Ability to work in a fast-paced environment and meet deadlines is essential. Strong understanding of consumer credit risk strategy and its evolution is required.

We are looking for a highly skilled and experienced Manager - Data Science to join our team in Mumbai. The ideal candidate will have 2 to 5 years of experience in the Indian BFSI sector, with a strong background in analytics and data science. Roles and Responsibility Drive analytics across Tata Capital using sophisticated statistical techniques. Design advanced analytical scorecards for customer acquisition, lifecycle management, and collection/recoveries. Manage Bureau relationships for market trends and insights. Enhance data through external/alternate data providers for better scoring. Implement machine learning algorithms for advanced analytics. Collaborate with business users to implement and monitor scorecards/solutions, assessing their impact on business and risk. Utilize IT platforms to implement analytical solutions. Engage with senior management and business stakeholders to drive business growth through analytical solutions. Job Post Graduate or Graduate in Engineering, MBA. Hands-on experience with scoring/data modeling. Proficiency in tools such as SAS, R, or Python. Knowledge of statistical techniques including logistic regression, segmentation, forecasting, machine learning, and optimization. Good interpersonal and presentation skills. Experience working in the Indian BFSI sector.

We are looking for a skilled professional with 4 to 6 years of experience to join our team as an Area Credit Manager in Mumbai. The ideal candidate will have a strong background in corporate finance and credit appraisal, with excellent analytical and leadership skills. Roles and Responsibility Support and collaborate with business teams to manage end-to-end credit approval for the designated region. Underwrite cases and present them to senior level, authorizing deviations documented by underwriters in compliance with credit policy. Finalize review of credit memos and sign-off on approvals or declines after checking documentation requests. Approve disbursement requests based on achieved adherence to requirements on agreement value and full documentation attainment at the branch level. Monitor and oversee PDD management, ensuring timely completion of personal discussion documents through customer visits in high-value cases. Oversee and initiate follow-ups with external vendors (FI, Legal & Technical valuations) to ensure timely query resolution and report submission. Coordinate with the recoveries team and generate business insights. Lead a team of credit approvers to ensure portfolio quality and delinquencies, engaging in development, implementation, review, and monitoring of various credit programs and providing training and coaching to continuously upgrade the competency of the team and improve processing efficiency of the HUB. Ensure due diligence in credit analysis, customer application screening, evaluation, underwriting, and sanctioning of loans. Evolve underwriting norms customized to the local market needs and ensure continued enhancement and execution of consumer credit risk strategy. Job MBA/PGDBA/PGPM/CA or equivalent degree. Minimum 4 years of experience in corporate finance and credit appraisal. Strong knowledge of credit policy, underwriting, and risk management. Excellent analytical, leadership, and communication skills. Ability to work in a fast-paced environment and meet deadlines. Strong understanding of consumer credit risk strategy and its implementation.

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

We are looking for a skilled professional with 6 to 11 years of experience to join our team as an Area Credit Manager in Large Corporate-Credit Appraisal, located at Chennai - Centennial Square -MM. The ideal candidate will have a strong background in credit appraisal and management. Roles and Responsibility Support and collaborate with business teams to manage end-to-end credit approval for the designated region. Underwrite cases and present them to senior level, authorizing deviations documented by underwriters in compliance with credit policy. Finalize review of credit memos and sign-off on approvals or declines after checking documentation requests. Approve disbursement requests based on achieved adherence to requirements on agreement value and full documentation attainment at the branch level. Monitor and oversee PDD management, ensuring timely completion of personal discussion documents through customer visits in high-value cases. Engage in development, implementation, review, and monitoring of various credit programs, providing training and coaching to continuously upgrade the competency of the team. Ensure due diligence in credit analysis, customer application screening, evaluation, underwriting, and sanctioning of loans. Oversee and initiate follow-ups with external vendors (FI, Legal & Technical valuations) to ensure timely query resolution/report submission and eliminate undue delays. Coordinate with the recoveries team and generate business insights. Lead a team of credit approvers to ensure portfolio quality and delinquencies. Job MBA/PGDBA/PGPM/CA or equivalent degree. Minimum 6 years of experience in credit appraisal and management. Possess strong knowledge of credit risk strategy, underwriting, and credit policy. Demonstrate excellent leadership and team management skills. Exhibit strong analytical and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines is essential.