15 Probability Theory Jobs

We are looking for enthusiastic individuals who thrive on self-motivation and excel in first-principles thinking. In the ever-evolving world of AI, brimming with daily innovations, we seek individuals adept at swiftly navigating through solutions and conquering challenges with zeal. Responsibilities: - Be responsible for driving cutting-edge research projects in NLP and Computer Vision. - Leverage state-of-the-art techniques to design and implement innovative solutions. - Document and communicate thought processes, technical findings, and evaluation results. - Implement and fine-tune state-of-the-art foundational models (deep learning or classical ML models). - Collaborate with ML engineers, designers, software engineers, editorial team, and product managers in delivering high-impact ML solutions. - Mentor and guide junior engineers and scientists. Requirements: - Bachelors or Masters in AI/ML, Computer Science, Statistics, or other relevant fields. - Depth of knowledge in Natural Language Processing and/or Computer Vision. - Industry experience in using TensorFlow or PyTorch to implement or finetune multimodal deep learning models. - Strong understanding of statistics, linear algebra, probability theory, and numerical optimization. - Strong programming skills in Python preferably in a production environment. - Proven experience in defining problems from real-world scenarios (often ambiguous) and implementing creative solutions.,

At Aristocrat, we believe in bringing happiness to life through the power of play. As a Lead Game Mathematician, you will play a pivotal role in our ambitious game development projects, translating complex game logic into flawless mathematical models and simulations. This outstanding opportunity allows you to work on world-class slot games delivered across multiple platforms such as Android, iOS, and Facebook. Join our dynamic team and make a significant impact on our innovative gaming experiences! As a core member of our team, you&aposll collaborate closely with game designers and engineers to ensure the successful implementation of math models. Your expertise will help clear roadblocks and drive the development of exceptionally detailed and well-documented game logic. This role is perfect for those who are passionate about mathematics and eager to compete in the fast-paced gaming industry. What You&aposll Do Build, validate, and document math models and simulations for Aristocrat slot games. Collaborate with game designers to refine and tune math models. Ensure high-quality and timely delivery of games by solving math problems and sharing knowledge. Develop and maintain well-documented Excel math models and programs in C/C++/C# or a similar language. Communicate effectively with game designers and engineers to resolve analytics discrepancies. Produce technical documents and flow charts to support game development. Apply your strong attention to detail and outstanding written communication skills. What We&aposre Looking For 5+ years of experience as a mathematician with a programming background in crafting math models and game simulations. Strong expertise in Combinatorics, Probability Theory, and Statistics. Proficiency in Excel and object-oriented programming languages such as C/C++/C#. Experience with slot game math is a significant plus. Prior experience in the mobile/web gaming industry is advantageous. Familiarity with Agile Scrum methodologies and working in product-based companies is a plus. Ability to build detailed technical documents and communicate complex ideas clearly. Why Aristocrat Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. Were a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V World Leader in Gaming Entertainment Robust benefits package Global career opportunities Our Values All about the Player Talent Unleashed Collective Brilliance Good Business Good Citizen Travel Expectations None Additional Information Depending on the nature of your role, you may be required to register with the Nevada Gaming Control Board (NGCB) and/or other gaming jurisdictions in which we operate. At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship. Show more Show less

As a Lead Game Mathematician at Aristocrat, you will play a crucial role in shaping the mathematical foundation of our games to ensure they are both engaging and fair. Your responsibilities will include translating game logic into detailed math models, documenting game rules for designers and developers, and collaborating with prototypers and engineers to resolve analytics discrepancies. You will have the opportunity to develop and validate math models for slot games across various platforms, such as Android, iOS, and Facebook. Your expertise in Excel and proficiency in object-oriented programming languages like C/C++/C# will be essential in creating and maintaining well-documented math models. A strong understanding of Combinatorics, Probability Theory, and Statistics will enable you to address math-related challenges effectively. Moreover, your exceptional attention to detail and outstanding communication skills will be instrumental in ensuring high-quality and timely delivery of games. In this role, you will also be expected to share your knowledge with the team, document processes for continuous improvement, and communicate effectively with game designers and engineers to align on project requirements. Crafting technical documents and flow charts to illustrate complex mathematical concepts will be part of your responsibilities, highlighting your ability to convey intricate ideas to both technical and non-technical collaborators. To be successful in this position, you should have at least 2 years of experience in game mathematics or a related field. An ambitious approach, a collaborative mindset, and a dedication to fostering an inclusive team culture will be key attributes that we are looking for in potential candidates. Join us at Aristocrat and be part of a world-class team dedicated to shaping the future of gaming and creating captivating experiences for players worldwide. Aristocrat offers a robust benefits package, global career opportunities, and a commitment to responsible gameplay and company governance. We value diversity and welcome applications from individuals of all backgrounds. Our inclusive environment aims to empower employees to realize their full potential. If you share our values and are passionate about bringing joy to life through the power of play, we invite you to join us on this exciting journey. Please note that travel expectations for this role are none, and candidates must be authorized to work in the job posting location without the need for current or future visa sponsorship. Join us at Aristocrat, where we believe in creating joy through the power of play and shaping the future of gaming entertainment.,

Are you seeking a thrilling opportunity to become a Quant Modelling Vice President in the QR Markets Capital (QRMC) team, where you will embark on implementing the next generation of a risk analytics platform The QRMC team is dedicated to constructing models and infrastructure for managing Market Risk, including Value at Risk (VAR), Stress, and Fundamental Review of the Trading Book (FRTB). As a key member of the QRMC team in India, you will play a vital role in supporting the global activities of the QRMC group. Collaboration with the Front Office and Market Risk functions to create tools and utilities for model development and risk management will also be a significant aspect of this role. Your responsibilities will include working on the implementation of a cutting-edge risk analytics platform, evaluating model performance, conducting back testing analysis and P&L attribution, enhancing the performance and scalability of analytics algorithms, developing mathematical models for VaR/Stress/FRTB, assessing the suitability and limitations of quantitative models, designing efficient numerical algorithms, and creating software frameworks for analytics delivery to systems and applications. To qualify for this role, you should possess an advanced degree (PhD, MSc, B.Tech or equivalent) in Engineering, Mathematics, Physics, Computer Science, or related fields, along with at least 3 years of experience in Python and/or C++. Proficiency in data structures, standard algorithms, and object-oriented design is essential. A basic understanding of product knowledge across various asset classes such as Credit, Rates, Equities, Commodities, FX & SPG is required. Additionally, familiarity with agile development practices, strong quantitative and problem-solving skills, research skills, basic mathematics (statistics, probability theory), good interpersonal and communication skills, and the ability to work effectively in a team are necessary for this role. Attention to detail and adaptability are also key qualities. Preferred qualifications include experience in applying statistical and/or machine learning techniques in the financial industry, knowledge of options pricing theory, trading algorithms, or financial regulations, familiarity with multi-threading, GPU, MPI, grid, or other HPC technologies, excellent knowledge of data analysis tools in Python like Pandas, Numpy, Scipy, advanced mathematics such as stochastic calculus, and understanding of front-end technologies like HTML, React, and integration with large data sets.,

As a Senior Statistician at Rhythm, you will play a crucial role in leading statistical research, designing experiments, and developing predictive models to ensure robust data-driven insights. Your responsibilities will involve collaborating closely with data scientists, AI engineers, and business stakeholders to build scalable and interpretable statistical models that support Rhythm Innovations" AI initiatives. Your expertise in statistical methodologies and machine learning will be instrumental in enhancing the accuracy, reliability, and fairness of AI-driven solutions. Analyzing customer data to identify patterns, establish correlations, and derive actionable insights to enhance AI solutions will be a key aspect of your role. You will also develop and apply advanced statistical methodologies to analyze large-scale datasets and improve AI model accuracy. Designing and implementing rigorous experiments such as A/B testing, hypothesis testing, and Bayesian inference will be essential to validate AI models and business strategies. Collaborating with AI and machine learning teams to integrate statistical models into AI-driven applications will be a critical part of your responsibilities. Ensuring statistical integrity and robustness in AI solutions by developing methodologies for bias detection, uncertainty quantification, and explainability will also be a key focus area. Additionally, you will lead research initiatives on new statistical approaches to enhance AI fairness, reliability, and efficiency. Communicating complex statistical findings to both technical and non-technical stakeholders in a clear and impactful manner is an important part of this role. Staying up-to-date with the latest advancements in statistical methods, AI, and machine learning to continuously improve methodologies will also be expected. Moreover, mentoring junior statisticians and data scientists to foster a culture of statistical rigor and innovation will be a part of your responsibilities. The ideal candidate for this position should hold a Masters or Ph.D. in Statistics, Mathematics, Data Science, or a related field. A minimum of 5 years of experience in statistical modeling, experimental design, and data analysis, preferably in an AI-driven environment, is required. Proficiency in statistical programming languages such as R or Python, expertise in probability theory, Bayesian inference, regression modeling, and strong understanding of machine learning algorithms are essential qualifications. Experience working with large-scale data and cloud-based data platforms, proven ability to translate complex statistical concepts into actionable insights, excellent problem-solving and critical-thinking skills, as well as strong communication and collaboration skills are also required. Preferred qualifications include experience in AI ethics, fairness, and interpretability of machine learning models, knowledge of causal inference and advanced experimental design techniques, familiarity with deep learning frameworks like TensorFlow and PyTorch, as well as publications in peer-reviewed journals or conferences related to statistics, AI, or machine learning.,

Are you prepared for an exciting opportunity to become part of a dynamic team in a challenging setting As a Quant Modelling Vice President in the QR Markets Capital (QRMC) team, you will have a crucial role in implementing the next generation of the risk analytics platform. The mission of the QRMC team is to construct models and infrastructure for managing Market Risk, including Value at Risk (VAR), Stress, and Fundamental Review of the Trading Book (FRTB). The QRMC team in India will have a significant impact, supporting the activities of the QRMC group globally. Collaboration with Front Office and Market Risk functions is essential to develop tools and utilities for model development and risk management purposes. Your responsibilities will include working on the implementation of the next generation risk analytics platform, assessing model performance, conducting back testing analysis and P&L attribution, enhancing mathematical models for VaR/Stress/FRTB, evaluating quantitative models and their limitations, designing efficient numerical algorithms, and developing software frameworks for analytics and their delivery to systems and applications. To qualify for this role, you should hold an advanced degree (PhD, MSc, B.Tech or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc. You should have at least 3 years of relevant experience in Python and/or C++ with proficiency in data structures, standard algorithms, and object-oriented design. A basic understanding of product knowledge across various asset classes such as Credit, Rates, Equities, Commodities, FX & SPG is required. It is beneficial if you have an interest in applying agile development practices, possess quantitative and problem-solving skills, research skills, and understand basic mathematics including statistics and probability theory. Strong interpersonal and communication skills, the ability to work in a group, attention to detail, and adaptability are also essential. Preferred qualifications include experience with statistical and/or machine learning techniques in the financial industry, knowledge of options pricing theory, trading algorithms, or financial regulations, familiarity with multi-threading, GPU, MPI, grid, or other HPC technologies, excellent knowledge of data analysis tools in Python like Pandas, Numpy, Scipy, understanding of advanced mathematics such as stochastic calculus, and knowledge of front-end technologies like HTML, React, and integration with large data sets.,

Are you seeking an exciting opportunity to become a part of a dynamic and expanding team within a fast-paced and challenging environment As a Quant Modelling Associate within our Risk Management and Compliance team at JPMorgan Chase, you will have a crucial role in upholding the strength and resilience of the organization. Your main responsibilities will involve anticipating emerging risks and utilizing your expertise to address challenges that impact the company, its customers, and the communities it serves. You will be an integral part of the Model Risk Governance and Review (MRGR) team, which is accountable for conducting independent model reviews and governance activities to effectively manage Model Risk. Specifically, MRGR Trading focuses on valuation and risk-management models utilized within the Corporate & Investment Bank, with a particular emphasis on Derivatives Instruments that involve complex and advanced modeling techniques. Your key responsibilities will include: Model Review: - Assessing the conceptual soundness of model specifications, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics and risk measures. - Conducting independent testing of models by replicating or creating benchmark models. - Designing and executing experiments to evaluate the potential impact of model limitations, parameter estimation errors, and deviations from model assumptions; comparing model outputs with empirical evidence or outputs from model benchmarks. - Documenting the findings of the model review and effectively communicating them to stakeholders. Model Governance: - Acting as the primary point of contact for model governance-related queries within the coverage area and facilitating the identification and escalation of issues to ensure timely and effective resolutions. - Providing guidance on the proper usage of models to model developers, users, and other stakeholders within the firm. - Staying informed about the ongoing performance testing results for models utilized in the coverage area and communicating these outcomes to stakeholders. - Maintaining the model inventory and model metadata for the coverage area. - Keeping abreast of the latest developments within the coverage area in terms of products, markets, models, risk management practices, and industry standards. Required qualifications, capabilities, and skills: - PhD or Masters degree in a quantitative discipline such as Math, Physics, Engineering, Computer Science, Economics, or Finance. - Proficiency in probability theory, stochastic processes, statistical/economic modeling, partial differential equations, and numerical analysis. - Understanding of options and derivative pricing theory and risks. - Proficient in Python, R, Matlab, C++, or other programming languages. - Possess a risk and control mindset with the ability to ask insightful questions, assess the significance of model issues, and escalate them appropriately. - Strong communication skills enabling effective interaction with front office traders and other functional areas within the firm on model-related matters; capable of producing documents for internal and external (regulatory) purposes. - Strong analytical and problem-solving abilities.,

You will be responsible for developing innovative game mathematics for various slot games, including classic slots, video slots, and progressive jackpots. This will involve calculating and analyzing game parameters such as RTP, variance, and hit frequency to ensure an engaging and balanced gameplay experience. In addition, you will collaborate with game designers and developers to align game mathematics with regulatory requirements and company standards. To qualify for this role, you should have an advanced degree in mathematics or a related field, along with a strong understanding of probability theory, statistics, and game theory. Previous experience in the gaming industry, particularly with slot games, is preferred. You must possess excellent analytical and problem-solving skills and be able to work both independently and as part of a team. This is a full-time position with a day shift schedule. The work location is in person, and the expected start date is 22/09/2025.,

Are you passionate about harnessing the power of artificial intelligence to transform decision-making under uncertainty Do you aspire to develop innovative algorithms that can offer robust and reliable recommendations for critical real-world problems If your academic ambitions lie at the intersection of symbolic AI, optimization, and statistical reasoning, this PhD position at TU Delft could be your gateway to cutting-edge research and impactful career opportunities. Strong and confident decision-making is at the core of many societal and engineering challenges today. Yet, the complexity and uncertainty inherent in real-world systems often make it difficult to ascertain which variables truly influence outcomes. This PhD project invites you to leverage advanced combinatorial and algorithmic methods to identify these critical parameters, thus enabling more robust, data-efficient, and reliable decision-making processes. Delft University of Technology (TU Delft) is one of Europe's premier technical universities, renowned for its pioneering research, high-impact innovation, and vibrant academic community. Located in the historic city of Delft, the university boasts a strong tradition in engineering, science, and design, with a global reputation for excellence. TU Delft has been at the forefront of groundbreaking advancements, from the world-famous Dutch waterworks to state-of-the-art biotech and digital technologies. As a PhD candidate at TU Delft, you will join a diverse and international research environment, collaborating with leading experts and contributing to solutions for some of society's most pressing challenges. The focus of this PhD position is on Symbolic AI and Reasoning Under Uncertainty, with a particular emphasis on sensitivity analysis for decision-making models. In contemporary applications, algorithms generate recommendations based on complex models with numerous input parameters. However, determining which of these inputs genuinely drive the outcomes is crucial for resource allocation, contingency planning, and ensuring the robustness of decisions. Traditional sensitivity analysis often relies on computationally intensive simulations, which may overlook significant variables. This project proposes a paradigm shift: employing logic-based and structural methods to formally identify critical parameters. By exploiting the structure of logic problems, the research aims to deliver formal guarantees on robustness, reduce computational costs, and improve the reliability of decision-support systems. This approach holds immense promise for fields such as engineering, policy-making, and societal infrastructure, where robust and explainable AI is essential. As a PhD candidate, you will be part of the Algorithmics section within the Software Technology (ST) department at TU Delft, collaborating closely with the Statistics section of the Delft Institute of Applied Mathematics (DIAM). The project is supervised by a distinguished team: dr. ir. Sicco Verwer (promotor), dr. Fabian Mies, and dr. Anna Latour (co-promotores). Your research will build upon and expand knowledge in modeling and solving paradigms such as Boolean Satisfiability, Constraint Programming, and Mixed-Integer (Linear) Programming. You will also develop methods for reasoning about discrete probability distributions, sampling complex spaces, and statistical analysis. The role involves collaboration with other researchers and software engineers to create practical tools for both academic and societal stakeholders. You will disseminate your findings through publications and presentations at leading conferences and journals, providing excellent opportunities for international networking and professional growth. The Algorithmics section is a dynamic, diverse environment where PhD and postdoc researchers work together on theoretical and algorithmic contributions to intelligent decision-making. The group addresses challenges including scalability, model learning for planning and verification, and the integration of stakeholder preferences into algorithmic processes. TU Delft's interdisciplinary ecosystem further enhances your research experience, with opportunities to engage in cross-faculty initiatives addressing topics such as climate change, energy transition, and artificial intelligence. Applicants should possess a Master's degree in Computer Science, Operations Research, or a related field (required by the Graduate School of TU Delft), proficiency in the English language, demonstrable knowledge of reasoning paradigms such as Boolean Satisfiability, Constraint Programming, or Mixed Integer (Linear) Programming, programming skills in languages such as Java, Python, or C++, solid understanding of statistics and probability theory, excellent critical and analytical thinking skills, a proven record of and interest in further developing research skills, including self-organization, academic writing, and a critical attitude, strong enthusiasm for state-of-the-art algorithmic and optimization techniques, especially their application to decision-making, affinity for teaching and mentoring students, and ability to work effectively in a team and take initiative. This position is ideal for candidates who are passionate about symbolic AI, optimization, statistical reasoning, and who are eager to contribute to the advancement of robust decision-making methodologies. If you are driven to make a meaningful impact on decision-making methodologies and thrive in a collaborative, interdisciplinary environment, we encourage you to apply for this PhD position at TU Delft.,

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

The mathematician collaborates with artistic, executive producer, and technical staff to shape the game vision and player experience for video casino games. You will focus on slot machine-based game development for various market regions. Your responsibilities will include designing all aspects of a game, such as entertainment, pacing, mathematical outcomes, and player communication. Attention to detail is crucial to achieve optimal math models. You will be required to create initial and final math models and combination sheets using Excel. Testing mathematical outcomes to ensure quality and accuracy through Excel is also part of your role. Short Term Goals: - Understand game design concepts for multiple products in the games portfolio. - Comprehend and deliver mathematical design documents for assigned projects and oversee their full implementation during the development process. Long Term Goals: This position aims to design player experiences and mathematical models for multiple games, contributing to the creation of great games. There will be opportunities for on-the-job training to enhance domain expertise. Requirements: - Bachelor's/Master's degree in Mathematics or B.Tech in Mathematics & Computing. - Proficiency in statistical models and Excel. - Strong expertise in Probability Theory and statistics. - Good data analytics skills. - Experience in one of the programming languages: C, C++, Python. Soft Skills: - Strong team player. - Effective communication skills. - Fast learner and self-motivated. - Ability to communicate effectively with engineering, art, production, and business personnel. Why Aristocrat Aristocrat is a global leader in gaming content and technology, known for delivering top-tier free-to-play mobile games. The company focuses on responsible gameplay, company governance, employee wellbeing, and sustainability. Aristocrat values diversity and encourages applications from individuals regardless of age, gender, race, ethnicity, cultural background, disability status, or LGBTQ+ identity. The company provides a robust benefits package and global career opportunities. Our Values: - All about the Player. - Talent Unleashed. - Collective Brilliance. - Good Business Good Citizen. Travel Expectations: None Additional Information: Depending on your role, you may need to register with the Nevada Gaming Control Board (NGCB) and other gaming jurisdictions where Aristocrat operates. The company does not sponsor work visas for this position; candidates must be authorized to work in the job posting location without the need for visa sponsorship.,

Join this dynamic Quant profile to contribute to the Global Markets Planning & Analysis Group, with teams located in New York, London, and Mumbai, while being stationed at Corporate and Investment Banking Research & Analytics in Mumbai. As an Associate within the Modeling Center of Excellence team, you will be working in a team of roughly 25 individuals and be responsible for the design, engineering, industrialization and support of the Quantitative Framework for the CCAR/ICAAP regulatory process, while also exploring opportunities to further leverage it into other activities such as the planning and forecast processes, ad hoc analysis for senior management and other strategic initiatives to support the businesses. The team is based out of L&T office of J.P. Morgan in Powai, Mumbai. You will need to work closely with stakeholders in London and New York, partnering and supporting them just as a direct extension of the team sitting out of Mumbai. You will also be able to interact with JPMorgans Quantitative Research team in Mumbai and benefit from their experience. Job Responsibilities: - Perform in-depth data analysis, using statistical and machine learning modeling techniques (regression, decision tree, ECM, neural networks, regime switching, etc.), to creatively build predictive or explanatory models - Devise/improve models on new/existing regression models. This includes coding the entire statistical methodology in R, Python - Translate business needs into quantitative analyses and tools; communicate complex results to senior stakeholders in a clear and precise manner - Work independently and collaboratively to establish close partnerships with peers across the greater CIB organization and Global Treasury. - Develop metrics and statistical model prototypes that can be used to drive business decisions. - Lead and participate in ad-hoc projects as needed by senior management or regulatory initiatives - Clearly document the code of the tools created; Publish and maintain clear user documentation; Write the official Model documentation and interact with the Model Governance group for review and approval; Ensure full SIT / UAT and Change controls of tools Required Qualifications, Skills and Capabilities: - Experience of working on Python/R statistical, analytical and machine learning libraries. - Experience of working on probability theory, statistics and machine learning. - Close attention to detail and ability to work to very high standards - Strong quantitative and analytical skills - Strong communication skills (both written and verbal) and ability to present findings to a non-technical audience - Candidates for these positions should be graduates/post-graduates with good academic records from esteemed universities with some exposure to finance/actuaries/accounting and/or derivatives. - Strong knowledge of Equities, FX, Rates, Fixed Income or Commodities,

We are looking for a skilled Generative AI Developer to be a part of our team and contribute to the development of advanced generative models. In this role, you will focus on creating AI systems that have the ability to produce innovative and human-like content across various domains such as natural language generation, image generation, and even video or music synthesis. To excel in this position, you should possess expertise in machine learning, deep learning, and natural language processing, along with a thorough understanding of specific generative models like GANs, VAEs, and other neural networks. Your responsibilities will involve developing and refining generative models using techniques such as GANs, VAEs, Transformers, and Diffusion models. You will also be working on tasks related to text generation, image generation, music or sound generation, video creation, and other creative AI applications. Furthermore, you will be expected to design, construct, and deploy models utilizing frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. It will be crucial to optimize AI models for performance, accuracy, and scalability in real-world production environments. Staying updated on the latest trends, research papers, and breakthroughs in the field of generative AI will also be a part of your role. Collaboration with other teams, such as data scientists, machine learning engineers, and product teams, to integrate models into production systems will be essential. Additionally, you will work on data preprocessing, augmentation, and designing pipelines to ensure high-quality input for model training. Documenting your code, processes, and model outputs for team-wide visibility and knowledge sharing will also be a key aspect of your responsibilities. **Required Qualifications & Skills:** - Bachelor's or Master's degree in Computer Science or related fields. - 3-4 years of hands-on experience in developing Generative AI solutions. - Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. - Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. - Experience working with neural networks, unsupervised learning, and natural language processing. - Proficient programming skills in Python, including deep learning libraries like TensorFlow, Keras, and PyTorch. - Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. - Solid mathematical and statistical knowledge, especially in probability theory, linear algebra, and optimization. - Experience in large-scale model training, fine-tuning, or distributed computing. - Knowledge of reinforcement learning and self-supervised learning. - Understanding of AI ethics, bias mitigation, and interpretability in generative models.,

Are you prepared for an exciting opportunity to be part of a dynamic team in a challenging setting As a Quant Modelling Vice President in the QR Markets Capital (QRMC) team, you will have a crucial role in implementing the next generation risk analytics platform. The main goal of the QRMC team is to construct models and infrastructure for managing Market Risk, including Value at Risk (VAR), Stress, and Fundamental Review of the Trading Book (FRTB). The QRMC team in India will play a significant role in supporting QRMC group's activities globally, collaborating closely with Front Office and Market Risk functions to create tools and utilities for model development and risk management. Your responsibilities will include working on implementing the next generation risk analytics platform, evaluating model performance, conducting back testing analysis and P&L attribution, enhancing the performance and scalability of analytics algorithms, developing mathematical models for VaR/Stress/FRTB, assessing the adequacy of quantitative models and associated risks, designing efficient numerical algorithms, and creating software frameworks for analytics delivery to systems and applications. To qualify for this role, you should hold an advanced degree (PhD, MSc, B.Tech or equivalent) in Engineering, Mathematics, Physics, Computer Science, or related fields and have at least 3 years of relevant experience in Python and/or C++. Proficiency in data structures, standard algorithms, and object-oriented design is essential. Additionally, you should possess a basic understanding of product knowledge across various asset classes such as Credit, Rates, Equities, Commodities, FX & SPG, and be interested in applying agile development practices. Strong quantitative and problem-solving skills, research skills, knowledge of basic mathematics like statistics and probability theory, good interpersonal and communication skills, and the ability to work in a team are also required. Attention to detail and adaptability are key attributes for success in this role. Preferred qualifications include experience with statistical and/or machine learning techniques in the financial industry, knowledge of options pricing theory, trading algorithms, or financial regulations, experience with multi-threading, GPU, MPI, grid, or other HPC technologies, excellent knowledge of data analysis tools in Python like Pandas, Numpy, Scipy, familiarity with advanced mathematics such as stochastic calculus, and understanding of front-end technologies like HTML, React, and integration with large data sets.,

Qualcomm India Private Limited is seeking an experienced individual to join Qualcomms Engineering IT EDAAP team as an IT Programmer Analyst. The ideal candidate should have 7-10 years of experience in developing dashboards using reporting tools such as Tableau (Tableau API), Power BI, and OBIEE. As an independent contributor, you will be responsible for developing and sustaining enterprise level software applications. Your main tasks will include developing visualizations and dashboards with Tableau, strong knowledge of SQL, and test, debug, and performance tuning of dashboards and reports. You should have a fundamental understanding of object-oriented design, data structures, algorithms, and problem-solving. Additionally, you will be required to work in an agile development environment, translate ad hoc report requests into common dashboards, and have knowledge of different types of enterprise systems and their interactions within an enterprise. Experience working with Oracle, MySQL, and Postgres is essential. The willingness to multitask and work in a fast-paced environment, as well as taking ownership and driving tasks to completion, are key attributes for this role. Desirable skills include Python programming experience, developing dashboards with Power BI, exposure to Qlikview, OBIEE, and ThoughtSpot, experience in the semiconductor industry, and working with NoSQL databases such as MongoDB, as well as relational databases like MySQL and Oracle. To be considered for this position, you must have a Bachelor's degree in a technical discipline or equivalent experience. Qualifications required include 5 or more years of experience in applying AI and machine learning techniques to technology solutions, with a strong background in machine learning, deep learning, and natural language processing. Expertise in ML, deep learning, PyTorch, Python, NLP, and Transformer architecture is essential, as well as experience in deploying LLMs and embedding models in production use cases. Preferred qualifications include a Bachelor's or Master's degree in computer science, Artificial Intelligence, Data Science, or a related field, experience in implementing end-to-end ML/NLP systems, working with transformer-based models, and experience in a distributed team and cloud environments. Minimum qualifications for this role include 4+ years of work experience in programming, scripting, and/or automation, or IT-relevant work experience with a Bachelor's degree, or 6+ years of work experience without a Bachelor's degree. Additionally, 2+ years of experience with Database Design structures, such as MongoDB and MySQL, is required. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact Qualcomm for assistance. Employees are expected to adhere to all applicable policies and procedures, including security and confidentiality requirements. Please note that Qualcomm does not accept unsolicited resumes or applications from agencies, and individuals seeking a job at Qualcomm should apply directly through the Qualcomm Careers Site. For more information about this role, please contact Qualcomm Careers.,