384 Algebra Jobs - Page 5

Key Accountabilities JOB DESCRIPTION Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives. Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Analyse and preprocess large-scale datasets for training and evaluation. Train, test, and optimize ML models for accuracy, scalability, and performance. Deploy ML models in production using cloud platforms and/or MLOps best practices. Monitor and evaluate model performance over time, ensuring reliability and robustness. Document findings, methodologies, and results to share insights with stakeholders. Qualifications, Experience And Skills Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming). Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong foundation in linear algebra, probability, statistics, and optimization techniques. Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization. Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark. Ability to think critically and apply your knowledge to solve complex ML problems. Strong communication and collaboration skills to work effectively in diverse teams. Additional Skills (Good To Have) Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow). Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark). Previous internships, academic research, or projects showcasing your ML skills. Familiarity with deployment frameworks like Docker and Kubernetes. Show more Show less

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Company Size Large-scale / Global Experience Required 3 - 5 years Working Days 5 days/week Office Location Bellandur, Bengaluru Role & Responsibilities Work in Real-time multiplayer games which will be played by millions of players. Work closely with the design team to convert & implement their idea into games. Write High quality production ready codes for games in Unity Engine. Ideal Candidate B.E/B.Tech or pursuing equivalent course. 2+ years of experience in building published Unity games Solid C# Programming Skills Strong Math Skills, knowledge of Vectors, matrices & linear algebra Strong knowledge & Experience working with Unity Interface Excellent problem solving ability Working with Multiplayer games Great Team communication skills Using Photon Networking in Unity Worked for iOS & Android both platform in Unity Completed game from start-to-finish in Unity Passion for playing games Open to learn new technologies & methods Skills: games,building,multiplayer game development,multiplayer,c# programming,team communication,math skills,unity engine,game design implementation,problem solving,android,photon networking,unity Show more Show less

We are seeking a highly skilled Senior Perception Engineer to join our team. The ideal candidate will have extensive experience in developing and implementing perception algorithms for robotic systems, with a focus on sensor fusion, SLAM, and multi-modal sensing. Master's or Ph.D. in Computer Science, Robotics, or a related field 3-8 years of experience in perception engineering for autonomous systems Strong programming skills in C++ and Python Extensive experience with SLAM algorithms, computer vision, and sensor fusion techniques Proficiency in working with LiDAR, camera, radar, and IMU sensors Hands-on experience with ROS2 Familiarity with deep learning frameworks and their application to perception tasks Experience with real-time systems and embedded software development Strong mathematical background in linear algebra, probability theory, and optimization Preferred Qualifications Experience with autonomous vehicle perception systems Knowledge of sensor calibration techniques Experience with multi-object tracking and motion prediction Experience with Autoware. Key Skills C++ Sensor fusion SLAM Computer vision LiDAR processing Radar processing ROS2 Autoware Python Machine learning Show more Show less

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. We believe in the power of diversity and inclusion and cultivate a workplace culture of belonging that views uniqueness as a competitive edge and builds a community that enables our people to push the limits of innovation to make great products that create value and improve people's lives. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Language Specialist - Portuguese in Chennai, India. What a typical day looks like: Maintaining relations with the suppliers. Placing orders for necessary raw materials and purchased parts according to the requirements of the production. Receiving and handling the confirmations. Checking the purchase orders and modifying them according to the changes in the production plan with the help of the Shortage List and the Open Purchase Order List. Tracking shipments, urging them if needed. Regular, weekly check of the stocks, avoiding overstock. Minimizing the risk of obsolescence with the help of the weekly check of the obsolete report. Correspondence with the freight forwarders, warehouses, and in case organizing the transportation. Dealing with claims, settling debit and credit issues. Filing and recording all necessary documents. Checking the inventory of critical materials (personally if needed) according to the Shortage List. Getting in touch with the right warehouse personnel and having the discrepancy modified if there is any inventory discrepancies. Handling purchasing data privacy. Assuring all active components according to production needs, in time, for the accord price in the request. Reviews requisitions and MRP output. Confers with vendors to obtain product information such as price, availability and delivery schedule. Orders, reschedules and cancels material based on requisitions and MRP output. Maintains procurement records such as items purchased, costs, delivery and inventories. Manages supplier to price, delivery and quality expectations and escalates when appropriate. Approves invoices for payment. Investigation inventory levels. Monitors the movement of materials through the production cycle. Conducts quarterly supplier reviews. Maintains procurement records, reports and metrics. The experience we’re looking to add to our team: Typically requires a minimum of 1 to 2 years of procurement experience. Use of the following tools may be required: Working usage of Word, Excel and Power Point, English language knowledge, data entry, ten-key, spreadsheet (PC), ERP software. Ability to read and comprehend instructions, correspondence and memos. Ability to write simple correspondence. Ability to effectively present information in one-on-one and small group situations to customers, clients and other employees of the organization. Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume. Ability to apply concepts of basic algebra and geometry. Ability to apply common sense comprehension to carry out instructions furnished in written, oral or diagram form. Ability to deal with problems involving several concrete variables in standardized situations. What you’ll receive for the great work you provide Health Insurance PTO #LP17 Site Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We celebrate diversity and do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first). Show more Show less

Job Description: We are looking for a proactive and skilled Full Stack Developer with experience in building MR image reconstruction modules with the connection to AI. The ideal candidate should have hands-on expertise in C++. Additional expertise in python, good knowledge in medical imaging modalities is an added advantage. Key Responsibilities : Developing, improving, testing, and maintaining of MR image reconstruction modules Active research in MR image reconstruction methods to improve the speed of acquisition, extracting more information from the sampled data, improving robustness to noise, artifacts, imperfections etc. Developing AI inferencing code, data preparation and model training. Manage code repositories and version control (Git/Azure Repos). Participate in design discussions, code reviews, and agile development processes. Troubleshoot module issues and ensure performance, security, and scalability. Ensure delivery aligns with organizational and project quality processes. Collaborate with Product Owners/relevant stake holders to manage the product backlog, groom concepts, and ensure the continuous delivery of features. Required Skills and Qualifications: Educational Background: BE/B.Tech/MCA/ME/M.Tech from a recognized institution. Technical Skills: Much practical C++ experience A solid grasp of design ideas and patterns as well as object-oriented programming (OOP) concepts Python experience would be advantageous Strong foundations in physics, mathematics, signal processing, linear algebra, probability, and random processes would be advantageous Strong understanding of medical imaging modalities, particularly MRI, is preferred. Strong analytical and problem-solving abilities as well as clear, succinct communication skills are also desirable. A solid grasp of inverse problems, artificial intelligence, imaging chain concepts, MR reconstruction, and pulse sequence would be advantageous. A desire to grow, learn, explore, think creatively, and push themselves beyond their comfort zones Repositories: Knowledge of Azure Repos or Git for version control. Experience: 6 -8 Years of core development experience using C++ What We Offer: A collaborative work environment with opportunities for professional growth. Exciting projects that challenge and enhance your technical expertise. Competitive compensation and benefits.

About TAG Equations govern the world, and at The Algebra Group, we master them. We are a team of experienced and committed professionals dedicated to empowering enterprises of all sizes and supporting their growth by providing them with strategic insights at every stage of business progression. We are a one stop solution for all their financial needs, including streamlined bookkeeping, insightful financial modelling, and powerful investor presentations. From providing comprehensive financial solutions to managed support services across the globe, we are the Partner to Success. Why TAG? ● Fastest growing start-up in the services and consulting industry ● Accelerated learning curve with founder-led expert mentorship ● Young, collaborative, and high-energy work culture ● Focused on on-the-job learning and development ● Gain experience with comprehensive digital marketing practices and content optimization strategies ● Collaborate with industry professionals to develop engaging and informative content Roles and Responsibilities The Marketing Executive would be a key player in TAG’s growth story, leading the vision from the front with the following roles: ● Collaborate with the team to create content strategies, maintain consistent messaging, and help shape TAG’s online presence and brand identity ● Track and analyse the performance of digital marketing efforts, including SEO results, social media engagement, and content reach ● Help create impactful marketing materials like case studies and infographics to drive business development and client engagement ● Plan and execute social media campaigns on LinkedIn, Instagram, Twitter, and others, creating engaging content like posts, stories, and reels for our target audience ● Support in optimizing website content, blogs, and landing pages to improve search rankings, enhance user engagement, and increase high-quality organic traffic ● Engage with followers on social media, responding to comments, messages, and fostering a community around TAG’s brand ● Stay up-to-date with the latest trends on social media platforms and help apply those insights to improve TAG’s content and engagement strategies Requirements The ideal candidate should have: ● 1 – 2 years of experience in digital marketing, content creation, social media management, SEO, or related fields ● Ensure brand consistency across all content while keeping it accurate, relevant, and engaging ● Assist with keyword research and optimize content for SEO to enhance visibility and drive traffic ● Candidates with a professional certification in Digital Marketing would be given preference ● Extra miler with great analytical and creative skills ● Bachelor's or equivalent in any discipline Show more Show less

We're looking for an individual with Prior experience building RESTful APIs. Experience with at least one of the backend API frameworks (preferably FastAPI) Hands-on experience with at least one modern ML/AI framework (PyTorch, TensorFlow) Experience integrating LLMs into applications (OpenAI, Anthropic, or open-source) Strong foundation in deep learning concepts and model training workflows Database expertise: schema design, query optimization, both SQL and NoSQL Experience with vector databases (Pinecone, Weaviate, Chroma) for RAG applications Mathematical aptitude: comfortable with statistics, linear algebra, and algorithmic thinking Your daily work would include Working on product features end-to-end (write backend logic, write API, connect APIs in the front end, and build a basic functional UI) Working with RESTful APIs, SQL, and NoSQL databases Training, fine-tuning, and deploying deep learning models for production use Building robust LLM integration pipelines with proper error handling and fallback mechanisms Implementing MLOps practices: model versioning, A/B testing, monitoring, and automated retraining Working on multiple projects during the tenure across multiple domains Note: The working hours are flexible. We are a small team. Most of the work will happen asynchronously. Culture-wise, we are looking for people who are excited to learn new things, think creatively, are capable of figuring things out on their own (most of the time), and have a "getting things done" kind of attitude. Show more Show less

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. We are seeking a Mathematics Specialist to join us and contribute to impactful AI training projects. If you have a strong understanding of Mathematics and experience preparing students for JEE Advanced, we want you to be part of our team! Key Responsibilities: Evaluate and improve AI-generated Mathematics content, ensuring it aligns with all rules and formulas. Debug and correct errors in AI-driven Mathematics reasoning and outputs. Collaborate with the AI team to enhance the AI’s understanding of Mathematics. Develop and refine practice problems, solutions, and explanations tailored to the JEE Advanced syllabus. Ensure clarity, accuracy, and logical consistency in all teaching materials related to Mathematics. Collaborate with the AI team to enhance the AI’s understanding of Mathematics concepts and problem-solving techniques. Create detailed, step-by-step explanations for challenging Mathematics concepts and problems. Stay updated with the latest JEE Advanced trends, syllabus changes, and exam strategies to ensure relevant content delivery. Required Qualifications: PhD in Mathematics. Prior experience in the EdTech sector. Strong understanding of Mathematics topics , including Algebra, Calculus, Coordinate Geometry, Trigonometry, and Probability. Excellent communication skills, with the ability to explain complex Mathematics concepts in a clear and engaging manner. Ability to work independently, manage your schedule, and tailor lessons to meet students needs. Why Join Us? Flexible hours. Remote opportunity. Shape the future of AI with Soul AI ! Show more Show less

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Years of Experience: Candidates with 12+ years of hands on experience Position: Senior Manager Required Skills: Successful candidates will have demonstrated the following skills and characteristics: Must Have Deep expertise in AI/ML solution design, including supervised and unsupervised learning, deep learning, NLP, and optimization. Strong hands-on experience with ML/DL frameworks like TensorFlow, PyTorch, scikit-learn, H2O, and XGBoost. Solid programming skills in Python, PySpark, and SQL, with a strong foundation in software engineering principles. Proven track record of building end-to-end AI pipelines, including data ingestion, model training, testing, and production deployment. Experience with MLOps tools such as MLflow, Airflow, DVC, and Kubeflow for model tracking, versioning, and monitoring. Understanding of big data technologies like Apache Spark, Hive, and Delta Lake for scalable model development. Expertise in AI solution deployment across cloud platforms like GCP, AWS, and Azure using services like Vertex AI, SageMaker, and Azure ML. Experience in REST API development, NoSQL database design, and RDBMS design and optimizations. Familiarity with API-based AI integration and containerization technologies like Docker and Kubernetes. Proficiency in data storytelling and visualization tools such as Tableau, Power BI, Looker, and Streamlit. Programming skills in Python and either Scala or R, with experience using Flask and FastAPI. Experience with software engineering practices, including use of GitHub, CI/CD, code testing, and analysis. Proficient in using AI/ML frameworks such as TensorFlow, PyTorch, and SciKit-Learn. Skilled in using Apache Spark, including PySpark and Databricks, for big data processing. Strong understanding of foundational data science concepts, including statistics, linear algebra, and machine learning principles. Knowledgeable in integrating DevOps, MLOps, and DataOps practices to enhance operational efficiency and model deployment. Experience with cloud infrastructure services like Azure and GCP. Proficiency in containerization technologies such as Docker and Kubernetes. Familiarity with observability and monitoring tools like Prometheus and the ELK stack, adhering to SRE principles and techniques. Cloud or Data Engineering certifications or specialization certifications (e.g. Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate – Exam AI-102, AWS Certified Machine Learning – Specialty (MLS-C01), Databricks Certified Machine Learning) Nice To Have Experience implementing generative AI, LLMs, or advanced NLP use cases Exposure to real-time AI systems, edge deployment, or federated learning Strong executive presence and experience communicating with senior leadership or CXO-level clients Roles And Responsibilities Lead and oversee complex AI/ML programs, ensuring alignment with business strategy and delivering measurable outcomes. Serve as a strategic advisor to clients on AI adoption, architecture decisions, and responsible AI practices. Design and review scalable AI architectures, ensuring performance, security, and compliance. Supervise the development of machine learning pipelines, enabling model training, retraining, monitoring, and automation. Present technical solutions and business value to executive stakeholders through impactful storytelling and data visualization. Build, mentor, and lead high-performing teams of data scientists, ML engineers, and analysts. Drive innovation and capability development in areas such as generative AI, optimization, and real-time analytics. Contribute to business development efforts, including proposal creation, thought leadership, and client engagements. Partner effectively with cross-functional teams to develop, operationalize, integrate, and scale new algorithmic products. Develop code, CI/CD, and MLOps pipelines, including automated tests, and deploy models to cloud compute endpoints. Manage cloud resources and build accelerators to enable other engineers, with experience in working across two hyperscale clouds. Demonstrate effective communication skills, coaching and leading junior engineers, with a successful track record of building production-grade AI products for large organizations. Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA from reputed institute Show more Show less

About the team: The AI Core team is a small and nimble team focused on AI innovation, experimental modelling, and scientific validation. Its mission is to build highly efficient, adaptable and efficacious large models for multiple general-purpose applications in chemical metrology. To stay aligned with the mission, the team follows advancements in AI, including next-generation deep learning architectures, autonomous agents, large-scale optimization algorithms, reinforcement learning methodologies, and innovative data simulation techniques. Senior Data Scientist The Senior Data Scientist plays a critical role in the AI Core team by guiding at every stage of the AI research with data-driven insights and substantiating the success/failure of these stages. Responsibilities: Perform exploratory data analysis (EDA) on spectral datasets to identify patterns, trends, and anomalies. Rapid prototyping to test out multiple hypotheses across large-scale historical datasets Develop statistical and machine learning models to complement deep learning approaches. Validate model outputs against domain knowledge or computational (non-ML) spectral analysis - Generate visualizations and reports for internal validation. Apply learnings from data patterns to innovatively generate simulated data Skills: Strong background in statistics, machine learning, and data visualization. Experience with time-series data Rapid prototyping skills, hypothesis generation and testing Mathematical foundations (optimization, linear algebra, probabilistic modelling) Technical proficiency in some of these: Python, SQL, Pandas, Matplotlib/Plotly, Jupyter and Excel Experience with physics simulators (PyBullet, Gazebo) and synthetic data generation (Blender, NVIDIA Omniverse). Passion: Discovering patterns and creativity in analyzing data Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related technical field. 8+ years of experience in data analysis, statistical modelling, or related roles. Prior roles within AI research teams Background in chemometrics, spectroscopy, or analytical chemistry, desirable Advantage: Modelling anomaly detection, noise, baselines, and artifacts in any domain. About Picarro: We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance. Show more Show less

The HiLabs Story HiLabs is a leading provider of AI-powered solutions to clean dirty data, unlocking its hidden potential for healthcare transformation. HiLabs is committed to transforming the healthcare industry through innovation, collaboration, and a relentless focus on improving patient outcomes. HiLabs Team Multidisciplinary industry leaders Healthcare domain experts AI/ML and data science experts Professionals hailing from the worlds best universities, business schools, and engineering institutes including Harvard, Yale, Carnegie Mellon, Duke, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT). As a Data Scientist at HiLabs, you will partner closely with a team of stake holders, product managers, and data engineers to solve real problems in healthcare domain. HiLabs is looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data products. Our potential member would work on developing and implementing machine learning algorithms for various HiLabs Products and Solutions. Responsibilities Leveraging AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems. Deploy and optimize machine learning solutions on massive datasets using big data technologies. Develop and prototype AI algorithms and software tools. Implement enhancements to existing algorithmic/deep learning solutions. Conduct quantitative data analysis using a variety of datasets. Increase the efficiency and improve the quality of solutions offered. Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders. Build and deploy additional functionalities as per client requirements. Leverage recent advances in machine learning technologies and oversee the team’s training. For Lead/Sr. Data Scientists-Lead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems. Desired Profile:. Bachelor’s Degree/Master’s Degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college. Hands-on Software Development Skills (Scala-Preferred). Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms. Knowledge of statistical techniques, linear algebra, numerical optimization. Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing. Know all the general best practices of Machine Learning. Ability to work closely with Domain experts to develop tools/algorithms needed to answer research questions in their studies. Excellent Communication Skills (with the ability to explain developed tools and ML algorithms to a non-technical audience). Ability to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area. Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems. Strong analytical, inferential, critical thinking, and creative problem-solving skills. Self-starter with ability to work both independently and with a team. Preferred Qualifications Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch,Mxnet etc. Experience with interpretability of deep learning models. Big Data Skills (Hadoop, Spark, recent deep learning platforms). Experience with text mining tools and techniques including in areas of summarization, search (e.g. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection. Expert software development skills including developing and maintaining production quality code HiLabs Total Rewards Competitive Salary, Accelerated Incentive Policies, H1B sponsorship, Comprehensive benefits package that includes ESOPs, financial contribution for your ongoing professional and personal development, medical coverage for you and your loved ones, 401k, PTOs & a collaborative working environment, Smart mentorship, and highly qualified multidisciplinary, incredibly talented professionals from highly renowned and accredited medical schools, business schools, and engineering institutes. CCPA disclosure notice - https://www.hilabs.com/privacy Show more Show less

Job Title: PGT Mathematics – JEE/NEET Faculty Location: Dharmapuri, TN Job Type: Full-Time Experience: Minimum 3-7 years (JEE/NEET-level Mathematics teaching) Curriculum: CBSE + Competitive (Integrated Program) Job Role: We are seeking a highly qualified and experienced PGT Mathematics Teacher to join our academic faculty for an integrated NEET/JEE preparation program. The ideal candidate should have a deep understanding of Class 11 & 12 Mathematics (CBSE) and the ability to prepare students for competitive exams like JEE Main/Advanced and NEET (Mathematics). Key Responsibilities: Deliver in-depth and structured Mathematics lectures aligned with CBSE + JEE/NEET syllabus. Design and conduct tests, quizzes, and mock exams for continuous assessment. Prepare topic-wise assignments, worksheets, and advanced-level practice questions. Clarify student doubts effectively during and after class hours. Track and analyze individual student performance and provide mentorship. Support students in time management, exam strategies, and concept mastery. Collaborate with other subject faculty to plan integrated teaching schedules. Ensure academic discipline and a focused classroom environment. Candidate Requirements: Postgraduate (M.Sc.) in Mathematics or related field. B.Ed preferred but not mandatory for highly experienced candidates. Minimum 3 years teaching experience in NEET/JEE-focused schools or coaching institutes. Strong grip over JEE (Main/Advanced) concepts including calculus, algebra, coordinate geometry, and trigonometry. Familiarity with competitive exam trends, question patterns, and syllabus updates. Excellent communication and interpersonal skills. Experience with smart classroom tools and/or online platforms (Zoom, Google Meet, etc.). Salary: Best in Industry – based on profile & expertise Joining Date: Immediate / As per Notice Period

Job Title: PGT Mathematics – JEE/NEET Faculty Location: Dharmapuri, TN Job Type: Full-Time Experience: Minimum 3-7 years (JEE/NEET-level Mathematics teaching) Curriculum: CBSE + Competitive (Integrated Program) Job Role: We are seeking a highly qualified and experienced PGT Mathematics Teacher to join our academic faculty for an integrated NEET/JEE preparation program. The ideal candidate should have a deep understanding of Class 11 & 12 Mathematics (CBSE) and the ability to prepare students for competitive exams like JEE Main/Advanced and NEET (Mathematics). Key Responsibilities: Deliver in-depth and structured Mathematics lectures aligned with CBSE + JEE/NEET syllabus. Design and conduct tests, quizzes, and mock exams for continuous assessment. Prepare topic-wise assignments, worksheets, and advanced-level practice questions. Clarify student doubts effectively during and after class hours. Track and analyze individual student performance and provide mentorship. Support students in time management, exam strategies, and concept mastery. Collaborate with other subject faculty to plan integrated teaching schedules. Ensure academic discipline and a focused classroom environment. Candidate Requirements: Postgraduate (M.Sc.) in Mathematics or related field. B.Ed preferred but not mandatory for highly experienced candidates. Minimum 3 years teaching experience in NEET/JEE-focused schools or coaching institutes. Strong grip over JEE (Main/Advanced) concepts including calculus, algebra, coordinate geometry, and trigonometry. Familiarity with competitive exam trends, question patterns, and syllabus updates. Excellent communication and interpersonal skills. Experience with smart classroom tools and/or online platforms (Zoom, Google Meet, etc.). Salary: Best in Industry – based on profile & expertise Joining Date: Immediate / As per Notice Period

About SKIDOS Vision, Mission & Culture Our vision is to create a future where every child unlocks their full intellectual and physical potential. We turn screen time into active learning time by creating and providing a world of edutainment for young minds that are playful, creative, and physically engaging! We offer parents a subscription service that allows them to access all the games and learning content. We have 1000+ learning activities on the Apple, Google Play, Amazon App Store, and Web Browsers. At SKIDOS, we embody the ethos of a high-performance sports team. We prioritize teamwork, discipline, and a relentless pursuit of excellence. Each individual commits to continuous growth, mutual respect, and accountability. Facing challenges head-on, we strive to exceed our goals. Together, we win. Join our Engineering Team We are looking for a talented individual who possesses knowledge of vectors, matrices, and linear algebra. someone who can work with Fast growth in a company with new opportunities and a rapid career. We follow a flatter structure with a way of working more independently, self-driven, and responsibly. What we want to see in your experience: ) 4+ years of experience in Unity games development with experience in C#. ) Strong software architecture skills and understanding of game systems ) Drive performance improvements and game optimization across IOS and Android ) Deep expertise in Unity Addressable experience in Multiplayer Game development, and AI. ) Ability to create custom native IOS/ Android plugins and implement them in Unity. What we are looking for in you as a colleague ) Ability to collaborate and meet deadlines ) Self-driven, responsible, and curious to learn ) Attention to details ) Excellent in English, written and spoken What SKIDOS can offer you as a professional? ) Work with great people At SKIDOS, we embody the ethos of a high-performance sports team. We prioritize teamwork, discipline, and a relentless pursuit of excellence. Each individual commits to continuous growth, mutual respect, and accountability. Facing challenges head-on, we strive to exceed our goals. Together, we win. ) Professional & Personal Development At SKIDOS, we prioritize your well-being and growth. We offer an employee-centric vacation policy to help you recharge and ensure paid maternity and paternity leave for a balanced family life. Additionally, we invest in your development through continuous training and upskilling opportunities. ) Disrupt Using the latest technology, we disrupt learning and how children will learn. With our global ambitions, we aim to make a big positive impact on how children learn now and in the future.

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. Job Summary To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add Specialist - GBS Procurement position will be based in Coimbatore What a typical day looks like: Maintaining relations with the suppliers. Placing orders for necessary raw materials and purchased parts according to the requirements of the production. Receiving and handling the confirmations. Checking the purchase orders and modifying them according to the changes in the production plan with the help of the Shortage List and the Open Purchase Order List. Tracking shipments, urging them if needed. Regular, weekly check of the stocks, avoiding overstock. Minimizing the risk of obsolescence with the help of the weekly check of the obsolete report. Correspondence with the freight forwarders, warehouses, and in case organizing the transportation. Dealing with claims, settling debit and credit issues. Filing and recording all necessary documents. Checking the inventory of critical materials (personally if needed) according to the Shortage List. Getting in touch with the right warehouse personnel and having the discrepancy modified if there is any inventory discrepancies. Handling purchasing data privacy. Assuring all active components according to production needs, in time, for the accord price in the request. Reviews requisitions and MRP output. Confers with vendors to obtain product information such as price, availability and delivery schedule. Orders, reschedules and cancels material based on requisitions and MRP output. Maintains procurement records such as items purchased, costs, delivery and inventories. Manages supplier to price, delivery and quality expectations and escalates when appropriate. Approves invoices for payment. Investigation inventory levels. Monitors the movement of materials through the production cycle. Conducts quarterly supplier reviews. Maintains procurement records, reports and metrics. The experience we’re looking to add to our team: Typically requires a minimum of 4 years of procurement experience. Use of the following tools may be required: Working usage of Word, Excel and Power Point, English language knowledge, data entry, ten-key, spreadsheet (PC), ERP software. Ability to read and comprehend instructions, correspondence and memos. Ability to write simple correspondence. Ability to effectively present information in one-on-one and small group situations to customers, clients and other employees of the organization. Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume. Ability to apply concepts of basic algebra and geometry. Ability to apply common sense comprehension to carry out instructions furnished in written, oral or diagram form. Ability to deal with problems involving several concrete variables in standardized situations. What you’ll receive for the great work you provide: Health Insurance Paid Time Off #SS16 Job Category Global Procurement & Supply Chain Required Skills: Optional Skills: Flex pays for all costs associated with the application, interview or offer process, a candidate will not be asked for any payment related to these costs. Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview Global Business Services delivers control functions responsible for providing assurance over data and processes used to record risk, P/L, balance sheet and financial results in support of Global Markets, Corporate Treasury and Corporate Investments businesses. There are seven GMO core functions that are critical in ensuring business process control: New Business Development, Trade Capture Substantiation, P&L Validation, Risk/Position Validation, Balance Sheet Substantiation, Event Monitoring, and Front-Back Process Oversight. The QS or Quantitative Services Team is part of the GBS. The Data Science Group is involved in Development, testing and monitoring of Machine Learning Models. Job Description Associate would be involved in entire Machine Learning Development Lifecycle. Responsibilities Collaborate with stake holders and identify opportunities for leveraging huge amount of unstructured financial data. Analyze and model structured data using statistical methods and implement algorithms and software needed to perform analyses Undertake preprocessing of structured/unstructured data and analyze information to discover trends/patterns. Present information using data visualization techniques. Coordinate with different teams to implement the models and monitor outcomes. Build machine learning models to automate processes and reduce operational overhead. Perform continuous model monitoring and model support. Build processes and tools for analyzing model performance and data accuracy. Requirements Exp Range: 2- 5 years Education: Graduate Foundational Skills: Degree in Applied Math, Statistics, Computer Science or any other quantitative field from premier institutes Strong technical skills including experience using Python/R and SQL or any object-oriented languages Familiarity with various machine learning algorithms and modelling techniques e.g. Regression (Linear and logit), Classification (SVM, Naïve Bayes,etc.) Banking domain is preferred but not required. Strong analytical/math skills (e.g. statistics, algebra) Familiarity with pandas, numpy, scikit-learn & scipy Basics of Visualization tools & techniques – eg. maptlotlib Problem-solving aptitude Desired Skills:-Excellent communication and presentation skills Work Timings: 12:00 PM-9:00PM Job Location: Hyderabad Show more Show less

Assistant Professor – Mathematics Specialization: Linear Algebra, Probability, Optimization, Applied Mathematics, Data Science, and Machine Learning Qualification: Ph.D. in Mathematics or relevant field Experience Required: 2–7 years of teaching and/or research experience Position Overview We invite applications for the position of Assistant Professor in the Department of Mathematics , with a focus on emerging and foundational areas such as Linear Algebra, Probability, Optimization, Data Science, and Machine Learning. The selected candidate will contribute to the advancement of academic excellence through impactful teaching, interdisciplinary research, and student mentorship. The role requires a passion for mathematical education, a research-oriented mindset, and a commitment to the integration of modern computational approaches in mathematics. Primary Responsibilities The Assistant Professor will be responsible for delivering undergraduate and postgraduate courses, developing innovative course materials, and supervising student research. Responsibilities also include publishing scholarly articles in reputed journals, applying for research grants, contributing to departmental planning, and participating in academic events. The candidate should demonstrate the ability to bridge mathematical theory with practical and data-driven applications. Key Duties Deliver engaging lectures in core mathematical areas, especially related to data science and computational methods. Design and update course syllabi in line with current academic and industry trends. Supervise final year projects and graduate-level theses. Conduct research in applied mathematics and allied interdisciplinary fields. Collaborate with faculty from engineering, computer science, and analytics departments. Guide students on academic, research, and career matters. Assist in organizing workshops, seminars, and symposia. Contribute to curriculum development and accreditation processes. Participate in academic committees and institutional governance. Essential Qualifications A Ph.D. in Mathematics, Applied Mathematics, Data Science, or a related area. Minimum of 2 years of teaching or research experience at the university level. Strong academic and publication record in high-impact journals. Proven expertise in teaching advanced mathematics and computational applications. Key Competencies In-depth knowledge of: Linear Algebra and Matrix Theory Probability Theory and Statistical Methods Mathematical Optimization and Operations Research Applied Mathematics in Scientific and Engineering Domains Data Science and Machine Learning Foundations Familiarity with programming languages and tools such as Python, MATLAB, R, and LaTeX. Experience with online teaching tools and blended learning platforms. Ability to guide interdisciplinary research and collaborate across departments. Preferred Attributes Evidence of successful research funding or project collaboration. International academic exposure or postdoctoral experience. Prior involvement in academic administration or curriculum innovation. Experience integrating AI/ML into mathematical teaching or research. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Business Consulting QAS- Quantitative Trading Book (QTB) Profile: Quant Analyst/ Consultant/ Manager Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Market Risk (MR) team assists clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Practical implementation knowledge of risk and capital management is a key competency of MR, focused on regulatory capital, market and counterparty credit risk management and broker-dealer capital requirements. Clients include large domestic and global financial institutions, broker-dealers, foreign banking organizations, asset management firms and insurance companies with significant capital markets activities. Project teams frequently work with the senior management of these firms, including CFOs and CROs. Your Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products Lead components of large-scale client engagements and/or smaller client engagements while consistently delivering quality client services Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization To qualify for the role, you should have: Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 2-10 years of relevant experience. Working knowledge or academic experience of statistical and numerical techniques (E.g., Monte-Carlo methods, Finite difference methods) Knowledge of mathematical concepts and domain knowledge related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities Strong risk management/model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.). Good hands-on experience in model development/validation/monitoring/audit procedures (including Stress testing, Back-testing, Benchmarking, etc.). Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory. Related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities Development/Validation/Annual Review of Equity pricing models, Interest Rate Models (HW1F, HW2F, HJM, LMM), Stochastic Volatility (SABR, Heston) model, Local Volatility model (Dupire), frameworks for Volatility stripping and calibration, Bootstrapping of IR curves (Single curve, Multi curve framework), Asset Liability Management (NII, MVPE) and Prepayment Models. Knowledge of Estimating Idiosyncratic volatility (specific risk) and estimating Beta, Handling missing data in time series, Validating proxy time series. Strong coding skills in any programming languages like Python and R. Basic knowledge of SQL is expected. Excellent communication and strong problem-solving skills Project management and report writing experience Good-to-have: Certifications such as FRM, CQF, CFA, PRM Regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB. ETRM/CTRM systems experience with knowledge of end-to-end commodity trade lifecycle of power/gas/softs/metals etc. Pricing/Risk management system knowledge/experience – Calypso, SunGard Adaptiv, Murex, Numerix, Bloomberg, RiskMetrics, Spectrum, EQF, etc. Willingness to travel to meet client needs Other responsibilities (For Manager Rank) Conduct performance reviews and contribute to performance feedback for Senior Consultants and Staffs Contribute to people initiatives including recruiting talent Maintain an educational program to continually develop personal skills Experience in stakeholder and client management Play your part in developing intellectual capital to support delivering superior outcomes for client and firm. What Working At EY Offers We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. Plus, we offer: A collaborative environment where everyone works together to create a better working world Excellent training and development prospects, both through established programs and on-the-job training An excellent team of senior colleagues, dedicated to managing and varying your workload EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Business Consulting QAS- Quantitative Trading Book (QTB) Profile: Quant Analyst/ Consultant/ Manager Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Market Risk (MR) team assists clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Practical implementation knowledge of risk and capital management is a key competency of MR, focused on regulatory capital, market and counterparty credit risk management and broker-dealer capital requirements. Clients include large domestic and global financial institutions, broker-dealers, foreign banking organizations, asset management firms and insurance companies with significant capital markets activities. Project teams frequently work with the senior management of these firms, including CFOs and CROs. Your Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products Lead components of large-scale client engagements and/or smaller client engagements while consistently delivering quality client services Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization To qualify for the role, you should have: Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 2-10 years of relevant experience. Working knowledge or academic experience of statistical and numerical techniques (E.g., Monte-Carlo methods, Finite difference methods) Knowledge of mathematical concepts and domain knowledge related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities Strong risk management/model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.). Good hands-on experience in model development/validation/monitoring/audit procedures (including Stress testing, Back-testing, Benchmarking, etc.). Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory. Related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities Development/Validation/Annual Review of Equity pricing models, Interest Rate Models (HW1F, HW2F, HJM, LMM), Stochastic Volatility (SABR, Heston) model, Local Volatility model (Dupire), frameworks for Volatility stripping and calibration, Bootstrapping of IR curves (Single curve, Multi curve framework), Asset Liability Management (NII, MVPE) and Prepayment Models. Knowledge of Estimating Idiosyncratic volatility (specific risk) and estimating Beta, Handling missing data in time series, Validating proxy time series. Strong coding skills in any programming languages like Python and R. Basic knowledge of SQL is expected. Excellent communication and strong problem-solving skills Project management and report writing experience Good-to-have: Certifications such as FRM, CQF, CFA, PRM Regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB. ETRM/CTRM systems experience with knowledge of end-to-end commodity trade lifecycle of power/gas/softs/metals etc. Pricing/Risk management system knowledge/experience – Calypso, SunGard Adaptiv, Murex, Numerix, Bloomberg, RiskMetrics, Spectrum, EQF, etc. Willingness to travel to meet client needs Other responsibilities (For Manager Rank) Conduct performance reviews and contribute to performance feedback for Senior Consultants and Staffs Contribute to people initiatives including recruiting talent Maintain an educational program to continually develop personal skills Experience in stakeholder and client management Play your part in developing intellectual capital to support delivering superior outcomes for client and firm. What Working At EY Offers We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. Plus, we offer: A collaborative environment where everyone works together to create a better working world Excellent training and development prospects, both through established programs and on-the-job training An excellent team of senior colleagues, dedicated to managing and varying your workload EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Business Consulting QAS- Quantitative Trading Book (QTB) Profile: Quant Analyst/ Consultant/ Manager Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Market Risk (MR) team assists clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Practical implementation knowledge of risk and capital management is a key competency of MR, focused on regulatory capital, market and counterparty credit risk management and broker-dealer capital requirements. Clients include large domestic and global financial institutions, broker-dealers, foreign banking organizations, asset management firms and insurance companies with significant capital markets activities. Project teams frequently work with the senior management of these firms, including CFOs and CROs. Your Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products Lead components of large-scale client engagements and/or smaller client engagements while consistently delivering quality client services Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization To qualify for the role, you should have: Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 2-10 years of relevant experience. Working knowledge or academic experience of statistical and numerical techniques (E.g., Monte-Carlo methods, Finite difference methods) Knowledge of mathematical concepts and domain knowledge related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities Strong risk management/model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.). Good hands-on experience in model development/validation/monitoring/audit procedures (including Stress testing, Back-testing, Benchmarking, etc.). Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory. Related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities Development/Validation/Annual Review of Equity pricing models, Interest Rate Models (HW1F, HW2F, HJM, LMM), Stochastic Volatility (SABR, Heston) model, Local Volatility model (Dupire), frameworks for Volatility stripping and calibration, Bootstrapping of IR curves (Single curve, Multi curve framework), Asset Liability Management (NII, MVPE) and Prepayment Models. Knowledge of Estimating Idiosyncratic volatility (specific risk) and estimating Beta, Handling missing data in time series, Validating proxy time series. Strong coding skills in any programming languages like Python and R. Basic knowledge of SQL is expected. Excellent communication and strong problem-solving skills Project management and report writing experience Good-to-have: Certifications such as FRM, CQF, CFA, PRM Regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB. ETRM/CTRM systems experience with knowledge of end-to-end commodity trade lifecycle of power/gas/softs/metals etc. Pricing/Risk management system knowledge/experience – Calypso, SunGard Adaptiv, Murex, Numerix, Bloomberg, RiskMetrics, Spectrum, EQF, etc. Willingness to travel to meet client needs Other responsibilities (For Manager Rank) Conduct performance reviews and contribute to performance feedback for Senior Consultants and Staffs Contribute to people initiatives including recruiting talent Maintain an educational program to continually develop personal skills Experience in stakeholder and client management Play your part in developing intellectual capital to support delivering superior outcomes for client and firm. What Working At EY Offers We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. Plus, we offer: A collaborative environment where everyone works together to create a better working world Excellent training and development prospects, both through established programs and on-the-job training An excellent team of senior colleagues, dedicated to managing and varying your workload EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

About This Role BlackRock Overview: BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary and individual investors around the world. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs. Aladdin Financial Engineering Group (AFE) AFE is a diverse and global team with a keen interest and expertise in all things related to technology and financial analytics. The group is responsible for the research and development of quantitative financial and behavioral models and tools across many different areas – single-security pricing, prepayment models, risk, return attribution, liquidity, optimization and portfolio construction, scenario analysis and simulations, etc. – and covering all asset classes. The group is also responsible for the technology platform that delivers those models to our internal partners and external clients, and their integration with Aladdin. AFE conducts leading research on the areas above, delivering state-of-the-art models. AFE publishes applied scientific research frequently, and our members present regularly at leading industry conferences. AFE engages constantly with the sales team in client visits and meetings. Job Description You can help conduct research to build quantitative financial models and portfolio analytics that help managing most of the money of the world’s largest asset manager. You can bring all yourself to the job. From the top of the firm down we embrace the values, identities and ideas brought by our employees. We are looking for curious people with a strong background in quantitative research, data science and machine learning, have awesome problem-solving skills, insatiable appetite for learning and innovating, adding to BlackRock’s vibrant research culture. If any of this excites you, we are looking to expand our team. We currently have quant researcher role with the AFE Investment AI (IAI) Team. The securities market is undergoing a massive transformation as the industry is embracing machine learning and, more broadly, AI, to help evolve the investment process. Pioneering this journey at BlackRock, the team has better deliver applied AI investment analytics to help both BlackRock and Aladdin clients achieve scale through automation while safeguarding alpha generation. The IAI team combines AI / ML methodology and technology skills with deep subject matter expertise in fixed income, equity, and multi-asset markets, and the buyside investment process. We are building next generation liquidity, security similarity and pricing models leveraging our expertise in quantitative research, data science and machine learning. The models we build use innovative machine learning approaches, have real practical value and are used by traders and portfolio managers alike. Our models use cutting edge econometric/statistical methods and tools. The models themselves have real practical value and are used by traders, portfolio managers and risk managers representing different investment styles (fundamental vs. quantitative) and across different investment horizons. Research is conducted predominantly in Python and Scala, and implemented into production by a separate, dedicated team of developers. These models have a huge footprint of usage across the entire Aladdin client base, and so we place special emphasis on scalability and ensuring adherence to BlackRock’s rigorous standards of model governance and control. Background And Responsibilities We are looking to hire a quant researcher with 4+ years’ experience to join AFE Investment AI team focusing on Trading and Liquidity to work closely with other data scientists/researchers to support Risk Mangers, Portfolio Managers and Traders. We build cutting edge liquidity analytics using a wide range of ML algos and a broad array of technologies (Python, Scala, Spark/Hadoop, GCP, Azure). This role is a great opportunity to work closely with the Portfolio Managers, Risk Managers and Trading team, spanning areas such as: Perform analysis of large data sets comprising of market data, trading data and derived analytics. Evaluate trading data, including pre-processing, feature engineering, variable selection, dimensionality reduction etc. Leverage machine learning to extract insights from data and work with investment managers to put those into action. Design, develop models/ML solutions for Trading & Liquidity. Implement the model and integrate the model into Aladdin analytical system in accordance with BlackRock’s model governance policy. Qualifications B.Tech / B.E. / M.Sc. degree in a quantitative discipline (Mathematics, Physics, Computer Science, Finance or similar area). M.Tech. / PhD is a plus. Strong background in Mathematics, Statistics, Probability, Linear Algebra Knowledgeable about data mining, data analytics, data modeling Confident in building models to solve problems including time series forecasting, clustering problems and hands on experience with a range of statistical and machine learning approaches. Ability to work independently and efficiently in a fast-paced and team-oriented environment. Knowledge of fixed income and credit instruments and markets a plus. Previous experience or knowledge in market liquidity is not required but a big plus. For professionals with no prior financial industry experience, this position is a unique opportunity to gain in-depth knowledge of the asset management process in a world-class organization. Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Business Consulting QAS- Quantitative Trading Book (QTB) Profile: Quant Analyst/ Consultant/ Manager Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Market Risk (MR) team assists clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Practical implementation knowledge of risk and capital management is a key competency of MR, focused on regulatory capital, market and counterparty credit risk management and broker-dealer capital requirements. Clients include large domestic and global financial institutions, broker-dealers, foreign banking organizations, asset management firms and insurance companies with significant capital markets activities. Project teams frequently work with the senior management of these firms, including CFOs and CROs. Your Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products Lead components of large-scale client engagements and/or smaller client engagements while consistently delivering quality client services Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization To qualify for the role, you should have: Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 2-10 years of relevant experience. Working knowledge or academic experience of statistical and numerical techniques (E.g., Monte-Carlo methods, Finite difference methods) Knowledge of mathematical concepts and domain knowledge related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities Strong risk management/model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.). Good hands-on experience in model development/validation/monitoring/audit procedures (including Stress testing, Back-testing, Benchmarking, etc.). Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory. Related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities Development/Validation/Annual Review of Equity pricing models, Interest Rate Models (HW1F, HW2F, HJM, LMM), Stochastic Volatility (SABR, Heston) model, Local Volatility model (Dupire), frameworks for Volatility stripping and calibration, Bootstrapping of IR curves (Single curve, Multi curve framework), Asset Liability Management (NII, MVPE) and Prepayment Models. Knowledge of Estimating Idiosyncratic volatility (specific risk) and estimating Beta, Handling missing data in time series, Validating proxy time series. Strong coding skills in any programming languages like Python and R. Basic knowledge of SQL is expected. Excellent communication and strong problem-solving skills Project management and report writing experience Good-to-have: Certifications such as FRM, CQF, CFA, PRM Regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB. ETRM/CTRM systems experience with knowledge of end-to-end commodity trade lifecycle of power/gas/softs/metals etc. Pricing/Risk management system knowledge/experience – Calypso, SunGard Adaptiv, Murex, Numerix, Bloomberg, RiskMetrics, Spectrum, EQF, etc. Willingness to travel to meet client needs Other responsibilities (For Manager Rank) Conduct performance reviews and contribute to performance feedback for Senior Consultants and Staffs Contribute to people initiatives including recruiting talent Maintain an educational program to continually develop personal skills Experience in stakeholder and client management Play your part in developing intellectual capital to support delivering superior outcomes for client and firm. What Working At EY Offers We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. Plus, we offer: A collaborative environment where everyone works together to create a better working world Excellent training and development prospects, both through established programs and on-the-job training An excellent team of senior colleagues, dedicated to managing and varying your workload EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Business Consulting QAS- Quantitative Trading Book (QTB) Profile: Quant Analyst/ Consultant/ Manager Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Market Risk (MR) team assists clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Practical implementation knowledge of risk and capital management is a key competency of MR, focused on regulatory capital, market and counterparty credit risk management and broker-dealer capital requirements. Clients include large domestic and global financial institutions, broker-dealers, foreign banking organizations, asset management firms and insurance companies with significant capital markets activities. Project teams frequently work with the senior management of these firms, including CFOs and CROs. Your Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products Lead components of large-scale client engagements and/or smaller client engagements while consistently delivering quality client services Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization To qualify for the role, you should have: Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 2-10 years of relevant experience. Working knowledge or academic experience of statistical and numerical techniques (E.g., Monte-Carlo methods, Finite difference methods) Knowledge of mathematical concepts and domain knowledge related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities Strong risk management/model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.). Good hands-on experience in model development/validation/monitoring/audit procedures (including Stress testing, Back-testing, Benchmarking, etc.). Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory. Related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities Development/Validation/Annual Review of Equity pricing models, Interest Rate Models (HW1F, HW2F, HJM, LMM), Stochastic Volatility (SABR, Heston) model, Local Volatility model (Dupire), frameworks for Volatility stripping and calibration, Bootstrapping of IR curves (Single curve, Multi curve framework), Asset Liability Management (NII, MVPE) and Prepayment Models. Knowledge of Estimating Idiosyncratic volatility (specific risk) and estimating Beta, Handling missing data in time series, Validating proxy time series. Strong coding skills in any programming languages like Python and R. Basic knowledge of SQL is expected. Excellent communication and strong problem-solving skills Project management and report writing experience Good-to-have: Certifications such as FRM, CQF, CFA, PRM Regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB. ETRM/CTRM systems experience with knowledge of end-to-end commodity trade lifecycle of power/gas/softs/metals etc. Pricing/Risk management system knowledge/experience – Calypso, SunGard Adaptiv, Murex, Numerix, Bloomberg, RiskMetrics, Spectrum, EQF, etc. Willingness to travel to meet client needs Other responsibilities (For Manager Rank) Conduct performance reviews and contribute to performance feedback for Senior Consultants and Staffs Contribute to people initiatives including recruiting talent Maintain an educational program to continually develop personal skills Experience in stakeholder and client management Play your part in developing intellectual capital to support delivering superior outcomes for client and firm. What Working At EY Offers We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. Plus, we offer: A collaborative environment where everyone works together to create a better working world Excellent training and development prospects, both through established programs and on-the-job training An excellent team of senior colleagues, dedicated to managing and varying your workload EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Business Consulting QAS- Quantitative Trading Book (QTB) Profile: Quant Analyst/ Consultant/ Manager Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Market Risk (MR) team assists clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Practical implementation knowledge of risk and capital management is a key competency of MR, focused on regulatory capital, market and counterparty credit risk management and broker-dealer capital requirements. Clients include large domestic and global financial institutions, broker-dealers, foreign banking organizations, asset management firms and insurance companies with significant capital markets activities. Project teams frequently work with the senior management of these firms, including CFOs and CROs. Your Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products Lead components of large-scale client engagements and/or smaller client engagements while consistently delivering quality client services Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization To qualify for the role, you should have: Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 2-10 years of relevant experience. Working knowledge or academic experience of statistical and numerical techniques (E.g., Monte-Carlo methods, Finite difference methods) Knowledge of mathematical concepts and domain knowledge related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities Strong risk management/model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.). Good hands-on experience in model development/validation/monitoring/audit procedures (including Stress testing, Back-testing, Benchmarking, etc.). Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory. Related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities Development/Validation/Annual Review of Equity pricing models, Interest Rate Models (HW1F, HW2F, HJM, LMM), Stochastic Volatility (SABR, Heston) model, Local Volatility model (Dupire), frameworks for Volatility stripping and calibration, Bootstrapping of IR curves (Single curve, Multi curve framework), Asset Liability Management (NII, MVPE) and Prepayment Models. Knowledge of Estimating Idiosyncratic volatility (specific risk) and estimating Beta, Handling missing data in time series, Validating proxy time series. Strong coding skills in any programming languages like Python and R. Basic knowledge of SQL is expected. Excellent communication and strong problem-solving skills Project management and report writing experience Good-to-have: Certifications such as FRM, CQF, CFA, PRM Regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB. ETRM/CTRM systems experience with knowledge of end-to-end commodity trade lifecycle of power/gas/softs/metals etc. Pricing/Risk management system knowledge/experience – Calypso, SunGard Adaptiv, Murex, Numerix, Bloomberg, RiskMetrics, Spectrum, EQF, etc. Willingness to travel to meet client needs Other responsibilities (For Manager Rank) Conduct performance reviews and contribute to performance feedback for Senior Consultants and Staffs Contribute to people initiatives including recruiting talent Maintain an educational program to continually develop personal skills Experience in stakeholder and client management Play your part in developing intellectual capital to support delivering superior outcomes for client and firm. What Working At EY Offers We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. Plus, we offer: A collaborative environment where everyone works together to create a better working world Excellent training and development prospects, both through established programs and on-the-job training An excellent team of senior colleagues, dedicated to managing and varying your workload EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less