51 Mathematical Modeling Jobs

The Operations Orchestration product team (OOPT) focuses on building and sustaining digital products for shopfloor operations management. This product line encompasses two key capabilities: Finite Scheduling and Manufacturing Productivity. These capabilities are essential for the optimized operation of the shop floor and provide enhanced visibility of the status of the production process. Operations Orchestration operates within the Manufacturing Value Team (MVT) of Digital our Manufacturing Division. Our product team is expanding rapidly to meet increasing demand for Finite Scheduling capabilities across the worldwide our Manufacturing Division network. As such, we are recruiting for Specialists who will be responsible for developing and maintaining manufacturing process models in the RTMS platform. These roles will work closely with other OOPT and site personnel to successfully deliver scheduling and capacity analysis models in accordance with defined requirements and objectives. The Specialists will participate on new deployments as well as provide ongoing operational support at existing our Manufacturing Division sites. Duties will include model configuration, testing, and documentation, along with responding to support and enhancement requests from site schedulers. Because our team has global reach, the roles will collaborate with team members across multiple timezones (CET, GMT, and US Eastern) and therefore require the ability to adjust working hours to facilitate this remote collaboration. In addition, clear and effective written communication is essential for success in these roles. Responsibilities: Develop and/or modify process models for Drug Substance, Drug Product and Packaging operations using discrete event simulation Provide technical support for process optimization analysis, such as debottlenecking, capacity analyses, and what if analysis for manufacturing operations Assist technical OOPT members with data analysis for manufacturing system integrations and the debugging/testing of data interfaces using SQL. Provide customer support for the RTMS platform. This includes troubleshooting, escalating, and resolving issues reported by the users at the different sites Use of agile tools (e.g. Jira, Confluence) and methodologies (e.g. sprints) to deliver defined product increments Delivery in accordance with defined scope/time/acceptance criteria Required Education and Experience: B.S. in Science/Engineering or equivalent technical field with 5-7 years of relevant experience. Demonstrated experience in mathematical modeling and at least one programming/scripting language (e.g. C/C++, Matlab, Python, R, C#, Java). Ability to communicate effectively with both technical and non-technical personnel to achieve the desired outcomes Excellent, proactive written communication, coupled with the ability to divide assigned tasks into smaller increments to leverage the timezone differences across the team. For example, the ability to receive written feedback on a task from a colleague/customer working overnight, and then work independently to address the feedback and reply in writing so that the colleague/customer can review the completed task when their work hours resume. Strong analytical problem-solving skills and ability to work independently within the role's defined responsibilities. For example, although these roles work in collaboration with other technical team members, success will require the ability to proactively and independently overcome obstacles. Successful candidates should be prepared to apply their full expertise to situations and take appropriate initiative to solve problems. Ability to work both independently and collaboratively with a globally dispersed team Practice in Agile Methodology and Continuous Improvement and with a Digital & Innovative mindset Expertise in authoring and executing technical documentation following industry standards and methodologies (SDLC, AGILE) Excellent communication and problem-solving skills with a sense of ownership, enthusiasm, and innovation Preferred Experience and Skills: Process Manufacturing expertise, preferably in the pharmaceutical industry Prior experience as an industrial engineer or simulation developer, for example with a design engineering and/or A&E firm using discrete event simulation in the pharma industry is strongly preferred; prior experience as an automation/controls developer in pharma or an adjacent process industry is an advantage Familiarity with manufacturing scheduling, discrete event simulation, finite state machines, and associated algorithms Experience using SQL to query and analyze datasets, including metrics/KPI calculation Knowledge of manufacturing systems such as PAS-X MES, Aveva PI, etc. Our Manufacturing & Supply Division is dedicated to being the most trusted supplier of biopharmaceuticals worldwide. Our facilities, along with our external contractors, suppliers, and partners, create a reliable global manufacturing network that's devoted to delivering a high-quality, reliable supply to customers and patients on time, every time.

The position of Quantitative Developer requires a candidate with a good understanding of quantitative finance and proficiency in developing solutions using C#/C++. Your primary responsibility will involve analyzing and developing Monte-Carlo based financial risk calculations for Market risk and Credit Risk requirements. Your tasks will include analyzing and resolving functional issues related to financial derivatives valuation, Market Risk, Credit Risk, and CVA computations raised by clients. You will need to comprehend clients" requirements, analyze their functional specifications and spreadsheets, and implement solutions on the C#.net platform. Furthermore, you will be expected to read and research mathematical solutions for regulatory requirements and financial valuations, validate existing models, and propose improvements. Additionally, your role will involve supporting sales teams, clients, and implementation teams by providing guidance and demonstrations. The nature of the product you will be working on is an enterprise-wide risk engine designed to measure and monitor credit exposures and CVAs rapidly. This engine prices complex derivatives using closed-form and Monte-Carlo techniques, enabling customers to measure and manage Market risk effectively. Qualifications: - Post Graduate degree in Mathematics/Statistics/Physics/Quantitative Finance or a related quantitative field. - Proficiency in understanding capital markets, financial derivatives, and risk management. - FRM/PRM certifications are desirable. - Certificate in Quant Finance (CQF) is preferred. Experience: - Minimum of 3 years of experience in quantitative development, analysis, and research. - Experience in collaborating with multinational corporations and engaging with individuals on-site in the UK, US, and APAC regions. Key Skills: Quant, Quantitative, Monte Carlo simulations, Risk, Derivatives, Financial Modeling, Mathematical Modeling, C#, C++, Algorithm, Data Structures, Market Risk, Credit Risk, FRM, PRM, quantitative development, analysis, research, CQF, Quant Finance, Quantitative Developer. Industry: IT/Computers-Software Role: Software Engineer Education: B.E/B.Tech For any queries or to apply for this position, please contact jobs@augustainfotech.com.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. We are seeking a talented and driven Kinaxis Lead to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting complex data sets to drive informed business decisions. You will work closely & directly with the client & cross-functional teams to identify trends, patterns, and insights that will contribute to our company's growth. In this role, you will play a key role in: - Performing detailed discovery sessions with business users to understand and document Rapid Response configuration requirements, including the customer's supply chain network, operating model, system landscape, planning processes, as well as objectives and targets for Kinaxis implementation. - Selecting standard functionalities in Rapid Response and designing data model changes, solution configuration, and customizations. - Leading solution blueprinting and detailed design activities. - Assigning configuration tasks to project members according to their skills, reviewing deliverables, and tracking completion. - Applying advanced mathematical models to address customer requirements. - Supporting data management and data integration activities, including source systems data transformation, data loading into Rapid Response, data cleanup, and validation. - Supporting services sales opportunities working with the Account Executives and Client Partners. Certified as a Kinaxis Solution Architect or has completed all requirements for Kinaxis Solution Architect certification. Thorough understanding of supply chain planning concepts, processes (demand planning, supply planning, inventory management, S&OP, etc.), KPIs, and best practices in supply chain planning. Strong analytical skills, data mining knowledge, and proficiency in handling and processing large volumes of data. Ability to identify key insights and critical thinking to prioritize and focus on the highest value opportunities or the biggest risks. Ability to communicate mathematical, technical, or software usage concepts to audiences with limited background/knowledge on the subject. We recognize the significance of flexible work arrangements to provide support. Be it remote work, flexible work hours, or alternative work schedules, you will get an environment to maintain a healthy work-life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

As a mathematician at Protocolzone Private Limited, you will be responsible for developing and enhancing algorithms, models, and mathematical solutions essential for various software applications. Your expertise will be pivotal in solving complex problems, implementing non-linear optimization techniques, streamlining processes, and enhancing the overall efficiency and performance of software products. Your key responsibilities will include designing and developing mathematical algorithms tailored to address specific challenges, analyzing large datasets to extract valuable insights for data-driven decision-making, and working on statistical analysis and data modeling to boost the functionality of software products. Furthermore, you will optimize existing algorithms and mathematical models to enhance efficiency, apply mathematical concepts to machine learning and artificial intelligence projects, and develop and implement mathematical models for tasks like pattern recognition, classification, and prediction. Your role will also involve tackling challenging problems through the application of mathematical principles and analytical thinking, collaborating closely with team members to resolve issues related to advanced mathematical concepts, and documenting mathematical models, algorithms, and methodologies for internal reference and knowledge sharing. The ideal candidate should possess a strong proficiency in mathematical modeling, algorithms, and statistical analysis, along with experience in programming languages such as Python, R, and Matlab. Familiarity with machine learning frameworks and techniques is highly desirable, along with excellent problem-solving and analytical skills. Effective communication skills are crucial for collaborating with interdisciplinary teams. Qualifications required for this position include an advanced degree (M.Sc. or Ph.D.) in Mathematics, Applied Mathematics, Computer Science, or a related field. The ideal candidate should have 3-6 years of relevant experience and the job location is Ahmedabad. This is a full-time employment opportunity. If you are passionate about applying your mathematical expertise to drive innovation and solve challenging problems in a dynamic work environment, we invite you to apply for this exciting opportunity at Protocolzone Private Limited.,

The role of Risk Modelling Lead Analyst is based in India, requiring all normal working days to be carried out in India. As a Risk Modelling Lead Analyst, you will be responsible for developing and maintaining compliant and fit-for-purpose models used in the bank's risk framework. Your expertise will enable you to provide clear and well-presented analysis, contributing to a collaborative and supportive team environment where sharing ideas and learning from others is highly valued. This role is offered at a senior analyst level. Your primary responsibilities will include designing, developing, and maintaining effective and compliant statistical risk and decision support models, as well as related analytics. You will be expected to deliver analytics and performance Management Information (MI) related to risk models, develop new and enhanced approaches to support improved business and customer outcomes. Key responsibilities: - Providing advice and support to business stakeholders on model use, impact, and implementation - Supporting regulatory engagement and internal governance related to risk models and frameworks - Developing well-documented models that meet the bank's standards and requirements - Ensuring the delivery of all milestones to agreed dates, budget, and quality standards To excel in this role, you should have experience working in a modelling or related quantitative function, with a focus on retail or wholesale banking environments. A degree in a numerate discipline, coupled with experience in data-driven analysis and statistical or mathematical modelling, is essential. Additionally, proficiency in risk systems, methodologies, and processes within a banking setting is required. Key qualifications and skills: - Proficiency in programming languages, particularly on large datasets in a mainframe or server environment - Understanding of statistical techniques and their appropriate application for the benefit of the bank and customers - Strong team working skills and the ability to collaborate effectively with colleagues If you are passionate about risk modelling, possess the necessary qualifications and skills, and thrive in a dynamic and fast-paced environment, we encourage you to apply for this challenging and rewarding position.,

As a CPU Performance Engineer at AMD, you will be a part of the Client CPU Performance Team in Hyderabad, India. Your primary responsibility will be to analyze performance and drive next-generation CPU core hardware and software optimizations for AMD's notebook and desktop processors. This role involves working on key applications, analyzing and tracing system-level workloads, and conducting performance analysis on internal and competitive hardware platforms. Additionally, you will be involved in the development of tools and methodologies for workload analysis and data collection. To excel in this role, you should have a strong passion for leading-edge CPU/SoC architecture, design, and verification. Collaboration is a key aspect of this position, as you will work closely with architects and engineers from different locations and time zones. Your analytical and problem-solving skills will be put to the test as you identify areas for improvement in AMD products, run performance simulations, and debug performance issues. Your responsibilities will also include interacting with various teams such as microprocessor architects, software optimizers, compiler teams, and verification engineers to address architectural performance issues. The ideal candidate should have 3-15 years of prior industry/academic experience and possess a strong background in computing software, computer architecture, system simulation, and performance evaluation. Proficiency in mathematical and statistical modeling, experience with x86 instruction set processors, and expertise in C/C++ programming and software engineering concepts are essential for this role. A degree in Electronics/Computer Engineering or Computer Science with an emphasis on computer architecture is preferred. At AMD, we are committed to pushing the boundaries of innovation to solve the world's most critical challenges. If you are someone who thrives in a collaborative environment, has a passion for cutting-edge technology, and is eager to contribute to the advancement of CPU performance optimization, we invite you to join our team and be a part of transforming lives with AMD technology.,

Othor AI is seeking a talented and motivated Mathematician Research Intern to join our decision intelligence team. This internship offers an exceptional opportunity to work at the intersection of advanced mathematics, artificial intelligence, and real-world decision-making systems. You&aposll contribute to cutting-edge research that transforms how organizations make complex decisions through mathematical modeling and AI-driven insights. Key Responsibilities Develop and analyze mathematical models for decision optimization problems Research and implement novel algorithms for multi-criteria decision analysis Collaborate with AI researchers to integrate mathematical frameworks into machine learning pipelines Conduct theoretical analysis of decision intelligence algorithms and their convergence properties Prototype mathematical solutions using Python, R, or MATLAB Contribute to research publications and technical documentation Present findings to cross-functional teams and external stakeholders Assist in developing mathematical foundations for explainable AI decision systems Required Qualifications Currently pursuing or recently completed Master&aposs or PhD in Mathematics, Applied Mathematics, Operations Research, or related field Strong background in optimization theory, linear algebra, and probability theory Experience with mathematical modeling and algorithm development Proficiency in at least one programming language (Python, R, MATLAB, or Julia preferred) Knowledge of statistical analysis and numerical methods Excellent analytical and problem-solving skills Strong written and verbal communication abilities Ability to work independently and collaboratively in a fast-paced research environment Preferred Qualifications Experience with machine learning and artificial intelligence concepts Background in game theory, decision theory, or multi-objective optimization Familiarity with deep learning frameworks (TensorFlow, PyTorch) Experience with mathematical software (Mathematica, Maple, or similar) Previous research experience in applied mathematics or related fields Publications in peer-reviewed journals or conferences Knowledge of reinforcement learning or Bayesian methods What We Offer Mentorship from leading researchers in decision intelligence and AI Opportunity to work on challenging, real-world mathematical problems Access to cutting-edge computational resources and research tools Collaborative environment with opportunities for professional growth Competitive internship compensation Potential for publication opportunities and conference presentations Flexible hybrid work arrangements Networking opportunities within the AI and decision science community Duration & Commitment 3-6 month internship with potential for extension Full-time commitment (40 hours/week) preferred Part-time arrangements considered for exceptional candidates Start date flexible based on candidate availability About Othor AI Othor AI is at the forefront of decision intelligence, developing AI systems that help organizations make better decisions through advanced mathematical modeling and machine learning. Our multidisciplinary team combines expertise in mathematics, computer science, and domain-specific knowledge to solve complex real-world problems. Show more Show less

Career Point University, Kota School of Basic & Applied Sciences invites applications from prospective & eligible candidates for the vacant post of Assistant Professor - Mathematics. Key Responsibilities: Conduct undergraduate and postgraduate classes in Mathematics. Participate in academic planning, curriculum development, and departmental activities. Organise and coordinate seminars, workshops, and conferences. Supervise student projects, dissertations, and research activities. Collaborate with academic and research institutions for joint initiatives. Eligibility Criteria: Ph.D. in Mathematics from a recognised University/Institution. NET (National Eligibility Test) qualification is mandatory. Proven academic and research credentials, including publications in reputed journals, authored books, patents, or technology development. How to Apply: Interested candidates may email their updated CV to hr@cpur.edu.in or contact us at +91-9057532005 for further information.

The role of a Mathematician, Physicist, or Engineer in our cross-functional optimization team involves developing, validating, and refining mathematical models and algorithms to drive optimization across product design, manufacturing processes, and material systems. By collaborating with mechanical/electrical engineers and software developers, you will contribute significantly to data-driven decision-making and computational efficiency in various areas such as lead time reduction, material optimization, process improvement, and chemical composition refinement. Your responsibilities will include: - Developing mathematical models and optimization algorithms to support engineering objectives like lead time reduction, material efficiency, and process optimization. - Collaborating with engineers to translate physical system constraints and performance goals into solvable mathematical formulations. - Working with software developers to integrate algorithms into custom tools and platforms for computational efficiency and scalability. - Continuously validating and enhancing existing algorithms using real-world data, simulations, and feedback. - Applying principles from applied mathematics, physics, and numerical methods to solve complex optimization problems across various domains. - Supporting the development of predictive models and simulations for chemical composition optimization and structural performance. - Ensuring compliance with external and internal regulations, procedures, and guidelines while upholding Hitachi Energy's core values of safety and integrity. Requirements: - Masters or Ph.D. in Mathematics, Physics, Applied Mathematics, or a related field. - Bachelors degree in engineering or a related field with 3 to 6 years of relevant experience. - Strong foundation in optimization theory, numerical methods, and mathematical modeling. - Proficiency in programming languages such as Python and MATLAB for algorithm development. - Ability to collaborate effectively in a multidisciplinary team and possess analytical thinking, problem-solving, and communication skills. - Capability to work both independently and as part of a team in a fast-paced environment. - Proficiency in spoken and written English is essential. If you are a qualified individual with a disability requiring accessibility assistance or accommodation during the job application process, you may request reasonable accommodations by completing a general inquiry form on our website. Please provide your contact information and specific details about the required accommodation to support you throughout the application process. Requests for purposes other than accessibility assistance will not receive a response.,

About The Role : Job Title:Workday Prism Analytics and Reporting Consultant HR IT Corporate TitleAssociateLocation:Pune, India Role Description Focuses on HR Data and Workday Domain (Prism and Reporting). Requires understanding of HR data transformation using WD Prism, Reporting, and Core WD HCM modules. Manages technical resources, solution financials, staff development, and ensures quality deliverables across HR IT projects. 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 Develop a strong understanding of user reporting needs and recommend implementation strategies using Workday tools. Design, develop, and tune data visualization tools and reports aligned with business requirements. Create and configure metadata objects. Collaborate with ETL developers on report design strategies and application analysts to identify source data systems. Recommend innovative reporting solutions based on cost, effectiveness, and data availability. Solve technical and business challenges, communicating solutions effectively. Build prototypes for demonstrations to stakeholders and senior leaders. Provide Subject Matter Expert (SME) support for troubleshooting, Production Support, and BI-driven problem-solving. Supervise and lead staff as needed. Manage security setup/maintenance for data visualization tools and coordinate with central security teams. Develop project timelines, documentation, and training materials. Offer post-implementation support and process fine-tuning. Maintain communication with management and users during development cycles. Coordinate user activities to ensure data and system integrity. Your skills and experience Design, build, and maintain data pipelines/transformations in Workday Prism Analytics. Translate business requirements into scalable Prism solutions. Optimize Prism workloads for performance and efficiency. Integrate data from diverse sources into Workday Prism with accuracy. Develop ETL processes for reporting and analytics. Build reports, dashboards, and analytics using Workday tools. Deliver actionable insights and ad hoc analyses as needed. Collaborate with HR, Finance, IT, and other teams to address data needs. Train users to maximize Prism Analytics adoption. Ensure compliance with data governance policies. Stay updated on Workday Prism features and industry trends. Identify and implement process improvements. Strong experience in WD Dashboards, Discovery Boards, Reporting, and tools like Tableau. Developing forecasting models and knowledge of mathematical modeling/regression analysis (preferred). Strong stakeholder management and cross-functional collaboration. How well support you . . . .

1.Familiar with CVXPY, NumPy, Flash, Pandas , Python 2.Should be Experienced with Linear Equations / Algorithms 3.AI / ML Techniques Used Required Candidate profile 1.Ability to understand scenarios that are complex and create mathematical models to solve them using the packages stated herein.

As an Operations Research Scientist at Tredence, your main responsibilities will involve performing data analysis and interpretation. This includes analyzing large datasets to extract meaningful insights and using Python to process, visualize, and interpret data in a clear and actionable manner. Additionally, you will be tasked with developing and implementing mathematical models to address complex business problems, as well as improving operational efficiency. You should have the ability to use solvers like CPLEX, Gurobi, FICCO Xpress, and free solvers like Pulp and Pyomo. Applying optimization techniques and heuristic methods to devise effective solutions will be a key part of your role, along with designing and implementing algorithms to solve optimization problems. Testing and validating these algorithms to ensure accuracy and efficiency are also important tasks. Collaboration and communication are essential skills in this role, as you will work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements and deliver solutions. Presenting findings and recommendations to both technical and non-technical audiences will be part of your regular interactions. To qualify for this position, you should have a Bachelor's or Master's degree in operations research, applied mathematics, computer science, engineering, or a related field. A minimum of 3-8 years of professional experience in operations research, data science, or a related field is required. Proficiency in Python, including libraries such as NumPy, pandas, SciPy, and scikit-learn, as well as Pulp and Pyspark, is necessary. A strong background in mathematical modeling and optimization techniques, experience with heuristic methods and algorithm development, and the ability to analyze complex datasets and derive actionable insights are also important technical skills. Furthermore, excellent communication skills, both written and verbal, and the ability to work effectively both independently and as part of a team are essential soft skills for this role. Preferred qualifications include experience with additional programming languages or tools such as AMPL, LINGO, and AIMMS, as well as familiarity with machine learning techniques and their applications in operations research. About Tredence: Tredence, founded in 2013, is dedicated to transforming data into actionable insights for over 50 Fortune 500 clients in various industries. With headquarters in San Jose and a presence in 5 countries, Tredence's mission is to be the world's most indispensable analytics partner. By blending deep domain expertise with advanced AI and data science, Tredence aims to drive unparalleled business value. Join Tredence on this innovative journey and contribute to the impactful work being done in the analytics field.,

The role involves performing data analysis tasks such as gathering financial data from various sources, including stock prices, volume, and other market indicators. You will be required to apply technical indicators like moving averages, MACD, and RSI to historical market data to identify patterns or trends. Additionally, using statistical and mathematical models to analyze data and predict potential market movements will be part of your responsibilities. Another key aspect of the job is examining price charts to identify patterns such as head and shoulders, wedges, or double tops/bottoms that might indicate future market behavior. You will be utilizing charting software to visualize data trends and support your analysis. In terms of report preparation, you will compile your findings into reports or presentations, summarizing analysis and forecasting market trends. It is essential to ensure that the reports are clear and understandable, providing actionable insights for traders, portfolio managers, or clients. Furthermore, the role includes database maintenance tasks such as updating and maintaining databases with the latest market data to ensure that analyses are based on current information.,

You will be working closely with the wider Electronic Trading team and technology to develop performant and reliable real-time automated trading algorithms and analytics functionality. Your responsibilities will include examining market trends and trading workflows to propose new or improved algorithmic trading strategies, designing frameworks and functionality for the development of trading algorithms, implementing mathematical models into programming languages for execution, and researching and developing pricing algorithm models for FX/Rates/Credit/Equities space. Additionally, you will be analyzing and improving algorithm performance, participating in team peer reviews of code, modeling, and testing, as well as engaging in team knowledge sharing and presentations. The purpose of your role is to actively participate in the day-to-day activities of the SMAD electronic trading division to provide insights and expertise that assist senior colleagues in making informed decisions, developing new products and services, and identifying new market opportunities. Your key accountabilities will include executing small research projects, supporting strategic decision-making through research, preparing presentations and reports to communicate research findings, collaborating with senior management to implement research findings for SMAD electronic trading, and collaborating with cross-functional teams to support business initiatives. You will also participate in training and development programs to enhance your skills and knowledge, identify opportunities, develop business cases, manage the deployment and launch of new products and services for SMAD electronic trading, manage client relationships, provide customer service support to clients and customers, and mentor junior colleagues. As an Analyst, you will be expected to perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. You will need to have in-depth technical knowledge and experience in your assigned area of expertise, a thorough understanding of the underlying principles and concepts within your area of expertise, and the ability to lead and supervise a team, guide and support professional development, allocate work requirements, and coordinate team resources. If you have leadership responsibilities, you are expected to demonstrate a clear set of leadership behaviors, including listening and being authentic, energizing and inspiring, aligning across the enterprise, and developing others. For individual contributors, you will need to develop technical expertise in your work area, acting as an advisor where appropriate, and have an impact on the work of related teams within the area. You will also need to partner with other functions and business areas, take responsibility for end results of a team's operational processing and activities, escalate breaches of policies/procedures appropriately, take ownership for managing risk and strengthening controls, advise and influence decision-making, and maintain a good understanding of how your sub-function integrates with the function and the organization's products, services, and processes. Furthermore, you will be expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience, guide and persuade team members, communicate complex/sensitive information, act as a contact point for stakeholders outside of the immediate function, and build a network of contacts outside the team and external to the organization. All colleagues are required to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive.,

As an Operations Research and Computational Scientist at Pranatree LLC, you will be part of a dynamic team based in Bangalore, with additional opportunities in Pune and Gurgaon. Your primary responsibility will be to develop and implement optimization models and computational solutions to address complex business challenges, thereby playing a crucial role in data-driven decision-making processes within the company. Your key responsibilities will include designing and executing advanced operations research models to optimize various business processes, as well as creating and refining algorithms to efficiently solve large-scale computational challenges. Collaborating with cross-functional teams, you will identify problem areas and provide comprehensive, data-driven solutions. Moreover, you will develop simulation models to test proposed solutions and prepare detailed technical reports and presentations for internal and external stakeholders. To excel in this role, you must hold a Ph.D. in Operations Research, Applied Mathematics, Computer Science, or a related field. Additionally, you should possess advanced knowledge in mathematical modeling, optimization algorithms, and computational methods. Proficiency in programming languages like Python and C is mandatory, along with experience in optimization tools such as Gurobi or CPLEX. Familiarity with machine learning and data analysis frameworks will be advantageous. Your problem-solving abilities, strong analytical skills, and excellent communication skills will be key assets in this role. You will also need to demonstrate strong team collaboration skills and contribute effectively to a multi-disciplinary team environment. Your performance will be evaluated based on your ability to develop efficient computational models aligned with company goals, deliver high-quality solutions within project timelines, and engage effectively with stakeholders. At Pranatree LLC, you will have access to flexible work options, professional development opportunities, comprehensive health insurance, and a commitment to maintaining a healthy work-life balance. This role presents various challenges and opportunities to tackle complex optimization problems, drive impactful projects, and contribute to a culture of innovation and continuous learning within the team.,

As a Research Associate (RA) in a project sponsored by the Science and Engineering Research Board (SERB) under the Core Research Group (CRG) scheme entitled Dynamic fracture at a non-planar interface (File No. CRG/2022/004550) sanctioned to Prof. Ranjith Kunnath at Mahindra University, you will be responsible for developing mathematical formulations for dynamic fracture problems and their numerical implementation. To be eligible for this position, you should have a Ph.D. in Mathematics/Physics/Engineering with specialization in mathematical modeling/solid mechanics and numerical methods. The fellowship for this role is up to Rs. 63,000 + 24% HRA per month, depending on your qualification and experience. The initial appointment is for 1 year, with the possibility of extension based on performance. For more information about the project and Prof. Ranjith Kunnath, you can visit the webpages http://ranjithkunnath.in/ and https://www.mahindrauniversity.edu.in/faculty/ranjith-kunnath. If you are interested in this opportunity, please send your detailed CV and cover letter to ranjith.kunnath@mahindrauniversity.edu.in.,

Schaeffler is a dynamic global technology company with a successful history rooted in entrepreneurial spirit and long-standing private ownership. As a trusted partner to major automobile manufacturers, aerospace, and industrial sectors, we offer numerous opportunities for your professional development. Join our Electronics and Technology - Mechatronics and ASIC Solutions team as a SABER Simulation and Modeling Engineer. In this role, you will leverage Synopsys SABER to create and integrate advanced simulation models that enhance system performance and reliability. Your responsibilities will include developing simulation models for semiconductor devices like SiC, GaN, and electromechanical systems using SABER. You will engage in analog component design and modeling using hardware description languages (HDL), specify, design, and verify analog/mixed-signal circuits and systems, analyze and optimize circuit-block details, support layout processes, collaborate with international teams, and drive innovative IP development. To qualify for this role, you should hold a BE/ME/MTech/MS in Electronics/Electrical Engineering or equivalent with 2-5 years of experience. Proficiency in Synopsys SABER and MATLAB, HDL programming languages (MAST and VHDL AMS), mathematical analysis tools, regression analysis tools, analog design principles, electronic devices, circuit theories, power electronics design, laboratory equipment, measurement techniques, electronic simulation software (LTSpice, PSpice), programming languages (C, C++), and a commitment to continual learning are essential. Fluency in English is required, and experience with HDL modeling, mathematical modeling, thermal analysis, signal integrity, EMC, and component testing is advantageous. We offer a great company culture, a well-defined career path, opportunities to be a key part of a growing organization, and close collaboration with customers and project teams. As a global company, we value mutual respect, diverse perspectives, creativity, and innovation. Our commitment to sustainable value creation drives us to impact the future through innovation. Exciting assignments and exceptional development opportunities await you as we shape the future together. Apply now at www.schaeffler.com/careers. Contact: Vitesco Technologies India Pvt. Ltd. Hemanth Hurudi,

The Software Engineer role at Firstsource requires developing capabilities to build software systems using various software and cloud technologies. You should possess strong analytical and problem-solving skills, along with expertise in software programming, software database management, and creating visualization and interaction layers on Web/Windows platforms. Integration with underlying technology frameworks and computer operating systems like Windows/Unix is essential. Exposure to AI/ML and Data science will be advantageous. Your responsibilities will include developing and building software applications/systems based on design documents across Front-end (web/windows), Back-end (.net/java/python), and Database systems. You will need to follow best practices for design, coding, automated testing, and deployment to production, working effectively within an agile-at-scale framework. Communication of status, updates, and plans to project leadership is crucial, along with the willingness to learn, acquire, and get certified on new technologies as required by projects. Any experience in AI, ML, and Data science will be an added advantage. Key requirements for the role include proficiency in at least one of Java/.Net/Python/NodeJS, good knowledge of JavaScript, at least one of ASP.Net/Angular/ReactJS, RDBMS (Oracle/SQL Server/Postgre) and SQL, familiarity with database management tools like Liquibase/Hibernate, understanding of DevOps (e.g., Azure DevOps) and cloud PaaS, knowledge of coding standards, debugging ability, software development lifecycle, and processes. Experience with cloud-based deployment (AWS/Azure), model performance monitoring, and troubleshooting issues is essential. Strong written and oral communication skills, the ability to work effectively in a cross-functional team, and familiarity with Docker and Git are required. Additionally, exposure to AI/ML frameworks like Pythin, Keras, Pytorch, and libraries such as scikit-learn, as well as practical application of statistical analysis and mathematical modeling concepts, will be beneficial for this role. Please note that Firstsource follows a fair, transparent, and merit-based hiring process and does not ask for money at any stage. Beware of fraudulent offers and always verify through official channels or @firstsource.com email addresses.,

As a Business Analyst (BA) with a focus on the Oil & Gas industry, specifically Frac operations, your role will involve expertise in data analysis, mathematical modeling, and chart/graph plotting relevant to hydraulic fracturing. You will collaborate closely with stakeholders, product managers, and development teams to ensure data-driven decision-making and optimized product functionality in SaaS applications used by the industry. Your responsibilities will include acting as a subject matter expert for Oil & Gas, translating business needs into functional requirements/user stories, defining and validating data-driven visualizations, engaging with product and engineering teams for requirements gathering, and identifying gaps in workflows for process optimization. To be successful in this role, you should have a minimum of 7 years of experience in Business Analysis within Oil & Gas software solutions. A strong understanding of Frac operations, drilling, completions, and reservoir engineering principles is essential. Experience with SaaS-based Oil & Gas platforms and BI tools like Power BI or Tableau is required. Additionally, you should possess excellent problem-solving and analytical skills, strong communication abilities, and the capacity to work in an Agile environment. Preferred qualifications include prior experience with Oil & Gas SaaS providers, knowledge of predictive analytics using machine learning techniques, and familiarity with industry standards such as WITSML, PPDM, and RESQML.,

As a dynamic and motivated candidate at AnjX, you will play a crucial role in transforming global supply chains through AI-driven solutions that enhance efficiency and decision-making. Your primary responsibility will involve developing mathematical models to optimize production planning and inventory management. Collaborating with the product team, you will define constraints, objectives, and optimization goals to streamline processes and ensure reliable planning. Your role will also entail performing simulations and scenario analysis to evaluate different planning strategies. You will have the opportunity to work closely with the software engineering team to implement linear programming and mixed-integer programming models. Additionally, you will provide research support for new optimization techniques that could enhance the software's capabilities. To excel in this position, you must possess a strong understanding of linear programming, optimization techniques, and operations research concepts. Proficiency in tools such as Python, MATLAB, R, or Gurobi for optimization is essential. Your mathematical and problem-solving skills will be crucial in translating business problems into mathematical models effectively. While a background in mathematics, engineering, or operations research is preferred, knowledge of supply chain and production planning will be advantageous. This is a paid internship opportunity at AnjX, offering a monthly stipend of 8000. If you are passionate about driving operational excellence and reducing environmental impact through innovative solutions, we invite you to join our team in Chennai Office and contribute to our mission of creating platforms that drive speed, reliability, and transparency in supply chain management.,

Design, implement, and validate rule-based configuration systems to manage product logic and constraints. Utilize Matlab for modelling, simulations, and logic implementation. Translate product and business requirements into logical rules and constraints for configuration engines. Collaborate with cross-functional teams including engineering, product management, and IT to ensure logical consistency and scalability. Maintain and optimize existing logic modules to improve performance and maintainability. Support troubleshooting, debugging, and validation of logic issues in live and test environments. Apply propositional and predicate logic to model complex systems and interactions. Analyse logical consistencies and implications within large rule sets. Document logic designs, rules, and configurations clearly and systematically. Required Skills and Qualifications: 3 to 6 years of relevant experience in product logic, mathematical modelling, or rule-based systems. Proficiency in Matlab (programming, simulation, modelling). Experience with rule-based configurators, logic engines, or knowledge-based systems. Strong grasp of Boolean logic, constraints modelling, and decision systems. Ability to understand complex product architectures and translate them into logical frameworks. Excellent analytical and problem-solving skills. Strong communication and documentation abilities. Preferred Qualifications: Exposure to PLM systems or configuration tools like Teamcenter Product Configurator, Configit, Tacton, or similar. Background in mechanical, electrical, or software engineering with strong mathematical reasoning. Experience in handling mass customization or variant configuration logic. Role & responsibilities Preferred candidate profile

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Job Function: SOC Thermal analysis methodology developmentencompassing SoC, package and systems, for various Qualcomm products going into smartphones, laptops, automotives and virtual reality headsets. Developing strategies to predict and improve thermally constrained scores (AnTuTu/Geekbench) and also measure/tune it on post-Si platforms, including infrared imaging. Thermal measurement The candidate will be responsible for improving thermal mitigation strategies through power and thermal management to achieve optimal system thermal performance. Skills: Should possess strong analytical skills and mathematical modeling abilities. Knowledge of SOC stack up is must Good knowledge of scripting in PERL/Python required; some exposure to Machine Learning algorithms/frameworks will be a plus. Need to have thorough knowledge of heat transfer mechanisms and CFD. Proficiency with state-of-the-art thermal analysis tools- Ansys Icepak/Flotherm Thermal Measurement will be preferred skill Experience: BE/ME graduates with 1 to 3 years of experience. 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.

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.,

As a Workday Prism Analytics and Reporting Consultant in HR IT at Deutsche Bank, located in Pune, India, you will be focusing on HR Data and the Workday Domain (Prism and Reporting). Your role will involve understanding HR data transformation using Workday Prism, Reporting, and Core Workday HCM modules. You will be responsible for managing technical resources, solution financials, staff development, and ensuring quality deliverables across HR IT projects. In this role, you will be developing a strong understanding of user reporting needs and recommending implementation strategies using Workday tools. You will design, develop, and tune data visualization tools and reports aligned with business requirements. Additionally, you will create and configure metadata objects, collaborate with ETL developers on report design strategies, and recommend innovative reporting solutions based on cost, effectiveness, and data availability. Your responsibilities will also include building prototypes for demonstrations to stakeholders and senior leaders, providing Subject Matter Expert (SME) support for troubleshooting and BI-driven problem-solving, managing security setup/maintenance for data visualization tools, developing project timelines, documentation, and training materials, and offering post-implementation support and process fine-tuning. You will maintain communication with management and users during development cycles and coordinate user activities to ensure data and system integrity. To excel in this role, you should have experience in designing, building, and maintaining data pipelines/transformations in Workday Prism Analytics, translating business requirements into scalable Prism solutions, optimizing Prism workloads for performance and efficiency, and integrating data from diverse sources into Workday Prism with accuracy. You should also have experience in developing ETL processes for reporting and analytics, building reports, dashboards, and analytics using Workday tools, and collaborating with cross-functional teams to address data needs. At Deutsche Bank, you will receive training and development opportunities to help you excel in your career, coaching and support from experts in your team, and a culture of continuous learning to aid progression. Additionally, you will have access to a range of flexible benefits that you can tailor to suit your needs. If you are looking to join a team that values empowerment, responsibility, commercial thinking, initiative, and collaboration, and celebrates the successes of its people, Deutsche Bank welcomes your application. We promote a positive, fair, and inclusive work environment where all individuals are encouraged to thrive and contribute to the success of the Deutsche Bank Group.,

KEY RESPONSIBILITIES Understand written or oral brief from client (business problem) Ensure Data Veracity as per problem brief; detect and flag anomalies or errors to Project Manager Hypothesis building Statistical model development and ensuring statistical hygiene of models Follow process to ensure accuracy and deliver projects as per timelines Write model findings with simple insights which make marketing sense Try different things to get to the best solution Train younger team members on the process Use visualization in Excel / PowerBI to prepare analytics results for clients Use basic programming to automate simple repetitive tasks in Excel Macros / VBA / R / Python ESSENTIAL SKILLS Strong mathematical aptitude Ability to think logically and solve issues - trouble-shoot problems in code or try a different approach if something is not working in the defined process Excellent communication skills in English (written and oral) are essential Ability to document analysis (data and model findings) and simple processes Good attitude and willingness to learn new things and experiment to get to the best solution Should be a strong team player - work closely with team-mates and Project Manager Willingness to stretch to deliver to tight schedules Demonstrate independence in planning own work and executing it on time and with good quality QUALIFICATIONS The ideal candidate will have consistent scholastic performance Bachelors degree in Engineering from premiere institute OR Graduate or Post-Graduate in Statistics Experience and knowledge of MS Office applications like Excel, Word, Powerpoint is a must Any programming knowledge will be an added advantage. Python / R skills preferred