1172 Probability Jobs - Page 32

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 data science, quantitative research 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 Data Scientist role with the AFE Investment AI (IAI) Team, India (Mumbai or Gurugram location). 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 Data Scientist with 4+ years’ experience to join AFE Investment AI India 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: Design, develop, and maintain data pipelines to extract, transform, and load data from various sources into our data warehouse/lake. Work with data scientists and analysts to understand data needs and design appropriate data models. Implement data quality checks and ensure the accuracy and consistency of data throughout the processing pipeline. Perform analysis of large data sets comprising of market data, trading data and derived analytics. Design and develop model surveillance framework. Automate data processing tasks using scripting languages (e.g., Python, Scala) and orchestration tools (e.g., Airflow, Luigi). Utilize cloud-based data platforms (e.g., GCP, Azure, etc.) to manage and process large datasets efficiently. Implement the ML models/analytics for Trading/Liquidity and integrate 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). MS/M.Tech. / PhD is a plus. Strong background in Mathematics, Statistics, Probability, Linear Algebra Knowledgeable about data mining, data analytics, data modeling Experience with data engineering tools and technologies (e.g., Apache Spark, Hadoop). Strong understanding of relational and non-relational databases (e.g., SQL, NoSQL). Proficiency in scripting languages for data manipulation and automation (e.g., Python, Scala). Experience working with cloud platforms for data storage and processing (e.g., Azure, GCP). Ability to work independently and efficiently in a fast-paced and team-oriented environment. Previous experience or knowledge in fixed income market and 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

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 Educator - JEE Exam (Freelancer) 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: Bachelor's degree (or higher) in Mathematics. Prior experience in the EdTech sector and a strong understanding of the JEE Main and Advanced exam patterns, syllabus, and preparation strategies. A minimum of 1+ years of experience tutoring students . Strong understanding of JEE Advanced Mathematics topics , including Algebra, Calculus, Coordinate Geometry, Trigonometry, and Probability. Proven track record of helping students achieve significant improvements in their JEE Advanced scores. 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? Competitive pay (₹700- 1200/hour). Flexible hours. Remote opportunity. NOTE: Pay will vary by project and typically is up to Rs. 700- 1200 per hour (if you work an average of 3 hours every day - that could be as high as Rs 90K per month) once you clear our screening process. Shape the future of AI with Soul AI ! 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 SME Mathematics (Freelancer) to join us and contribute to impactful AI training projects. If you have a deep understanding of mathematics and a passion for problem-solving, we want you to be part of our team! Key Responsibilities: Develop, review, and refine complex mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content, ensuring it aligns with real-world mathematical principles. Debug and correct errors in AI-driven mathematical reasoning and outputs. Collaborate with our AI teams to enhance the AI’s understanding of various mathematical concepts, including Algebra, Calculus, Probability, Statistics, Linear Algebra, and Discrete Mathematics. Create detailed explanations and step-by-step solutions for mathematical problems. Required Qualifications: 1st or 2nd year student in top IIT with good JEE Advance score. Strong understanding of JEE Advance concepts. A minimum of 1+ years of experience in mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong understanding of core mathematics topics, including Algebra, Calculus, Probability, Statistics, Linear Algebra, and Discrete Mathematics. Proficiency in solving advanced mathematical problems and demonstrating solutions clearly. Strong problem-solving and analytical skills. Ability to critically evaluate AI-generated outputs and provide constructive feedback. Why Join Us? Competitive pay (₹700-1200/hour). Flexible hours. Remote opportunity. NOTE: Pay will vary by project and is Rs. 700- 1200 per hour (if you work an average of 3 hours every day - that could be as high as Rs 90K per month) once you clear our screening process. Shape the future of AI with Soul AI ! Show more Show less

Hydranautics is a part of the Nitto Group of companies and one of the global leaders in the field of integrated membrane solutions. We offer complete membrane solutions like reverse osmosis, nanofiltration, ultrafiltration and microfiltration for water, waste water and process treatment and applications. Hydranautics membrane-based solutions are currently in use on seven continents throughout the world for diverse applications such as seawater desalination, industrial high-purity water, surface water treatment, waste water treatment and specialty process applications. Position Overview Under general supervision, create and sustain technical information on existing and new products, performance and applications. Provide field services to customers. Oversee the operation of pilot units for customers. Conduct product root-cause analysis, recommend corrective measure and collaborate with customer to implement those improvements. Write technical product specifications. Provide feedback on competitors’ product performance. Principal Duties And Responsibilities Provides technical support to Sales & Marketing staff as well as customers in regard to company’s products, applications and systems operation. Creates and writes technical information on organization’s product specifications and product bulletins. Collaborates with customers with system start-up, operation and maintenance, including providing technical training to customers on system operation. Builds business relationships which benefit Hydranautics strategic sales plan. Resolves routine customer issues relating to product application and end-user. Evaluates competition performance and communicates data to keep marketing department apprised of competitive product performance. Participates in the evaluation of returned products relative to field operations. Satisfies contractual requirements as specified in the contract and as it relates to Municipal projects. Other duties as assigned. Qualifications, Skills, Experience Bachelor of Science degree in Chemical, Environmental, Mechanical Engineering or comparable; 6 years’ experience; or, an equivalent combination of education and experience. Two years in commissioning water treatment plants, a plus Experience in Original Equipment Manufacturing (OEM) or A&E companies, a plus. Working knowledge of water chemistry concepts, fluid flow and water pressure as well as analytical method and technical writing; above average understanding of Reverse Osmosis, Ultrafiltration and Microfiltration processes and products. Working knowledge of plant processes, RO, NF and UF with practical application to the field. Solid understanding of the construction and manufacture of Spiral Wound elements and Capillary modules, modes of failure of membrane systems, and the effects of cleaning chemicals on the products. Ability to conduct analytical evaluations and identify root causes of failures and recommend corrective actions to improve product performance. Strong multi-tasking skills, flexibility in responding to rapidly changing, dynamic processes and demands/pressures in a fast-paced environment. Strong ability to verbally communicate across functional organizational groups, provide high-level customer service through effective interpersonal skills and conflict resolution. Advanced Microsoft Office Suite software applications such as Excel, Word, Power Point. Ability to work with mathematical concepts such as probability and statistical inference and fundamentals of plane and solid geometry and trigonometry. Read, understand and generate P&ID and PFD drawings. Travel for extended periods and work with a flexible schedule. Salary [[cust_salaryMin]] - [[cust_salaryMax]] [[cust_salarytype]] Hydranautics offers a competitive compensation and benefits package. We believe diversity is key to our competitive advantage and value the diversity among our employees. We are proud to be an EEO employer. Show more Show less

Praxair India Private Limited | Business Area: Digitalisation Data Scientist for AI Products (Global) Bangalore, Karnataka, India | Working Scheme: On-Site | Job Type: Regular / Permanent / Unlimited / FTE | Reference Code: req23348 It's about Being What's next. What's in it for you? A Data Scientist for AI Products (Global) will be responsible for working in the Artificial Intelligence team, Linde's AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers in the AI team and others in the Linde's Global AI team. As a Data Scientist AI, you will support Linde’s AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain" At Linde, the sky is not the limit. If you’re looking to build a career where your work reaches beyond your job description and betters the people with whom you work, the communities we serve, and the world in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless. Team Making an impact. What will you do? You will work directly with a variety of different data sources, types and structures to derive actionable insights Develop, customize and manage AI software products based on Machine and Deep Learning backends will be your tasks Your role includes strong support on replication of existing products and pipelines to other systems and geographies In addition to that you will support in architectural design and defining data requirements for new developments It will be your responsibility to interact with business functions in identifying opportunities with potential business impact and to support development and deployment of models into production Winning in your role. Do you have what it takes? You have a Bachelor or master’s degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research or related field You have a strong understanding of and practical experience with Multivariate Statistics, Machine Learning and Probability concepts Further, you gained experience in articulating business questions and using quantitative techniques to arrive at a solution using available data You demonstrate hands-on experience with preprocessing, feature engineering, feature selection and data cleansing on real world datasets Preferably you have work experience in an engineering or technology role You bring a strong background of Python and handling large data sets using SQL in a business environment (pandas, numpy, matplotlib, seaborn, sklearn, keras, tensorflow, pytorch, statsmodels etc.) to the role In addition you have a sound knowledge of data architectures and concepts and practical experience in the visualization of large datasets, e.g. with Tableau or PowerBI Result driven mindset and excellent communication skills with high social competence gives you the ability to structure a project from idea to experimentation to prototype to implementation Very good English language skills are required As a plus you have hands-on experience with DevOps and MS Azure, experience in Azure ML, Kedro or Airflow, experience in MLflow or similar Why you will love working for us! Linde is a leading global industrial gases and engineering company, operating in more than 100 countries worldwide. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain and protect our planet. On the 1st of April 2020, Linde India Limited and Praxair India Private Limited successfully formed a joint venture, LSAS Services Private Limited. This company will provide Operations and Management (O&M) services to both existing organizations, which will continue to operate separately. LSAS carries forward the commitment towards sustainable development, championed by both legacy organizations. It also takes ahead the tradition of the development of processes and technologies that have revolutionized the industrial gases industry, serving a variety of end markets including chemicals & refining, food & beverage, electronics, healthcare, manufacturing, and primary metals. Whatever you seek to accomplish, and wherever you want those accomplishments to take you, a career at Linde provides limitless ways to achieve your potential, while making a positive impact in the world. Be Linde. Be Limitless. Have we inspired you? Let's talk about it! We are looking forward to receiving your complete application (motivation letter, CV, certificates) via our online job market. Any designations used of course apply to persons of all genders. The form of speech used here is for simplicity only. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law. Praxair India Private Limited acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development. Show more Show less

Skills/ Qualifications Required: Relevant experience in data science/ data analytics role with an end-to-end understanding of ML based project’s development & implementation Proficient in building and deploying Machine Learning (Predictive & Prescriptive modelling) , NLP Expertise in Demand Forecasting Proficient in tools / languages like SQL, Python & PySpark Good understanding of Probability & Statistics Hands-on experience in Azure Good communication skills Job Responsibilities Data collation, processing, cleaning & transformation along with feature engineering and model development. Hands-on with model training, evaluation & fine tuning. Ensure output’s thorough quality check & provide analytics driven insights and next steps in involved project(s) Develop & implement various customer segmentation, LTV & marketing campaign optimization models. Actively own & manage client deliverables. Effectively engage with client & translate client business requirements into equivalent analytical problems. Understand data and different platforms used by the client. Actively contribute towards design methodology for problem solving. Analyze large & complex data sets to derive valuable insights Interested candidates please send their resume at faiza.gul@exlservice.com Show more Show less

JOB DESCRIPTION Your seniority as a security engineer puts you in the ranks of the top talent in your field. Play a critical role at one of the world's most iconic financial institutions where security is vital. As a Security Engineer III at JPMorgan Chase within the Cybersecurity & Tech Controls team, you serve as a seasoned member of a team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Carry out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions in support of the firm’s business objectives Job responsibilities Executes security solutions design, development, and technical troubleshooting with the ability to apply knowledge of existing security solutions to satisfy security requirements for internal clients (e.g., product, platform, application owners) Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Applies specialized tools (e.g., vulnerability scanner) to analyze and correlate incident data to identify, interpret, and summarize the probability and impact of threats when determining specific vulnerabilities Leads delivery of continuity-related awareness, training, educational activities, and exercises Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on security engineering concepts and 3+ years applied experience Hands on experience in React, Java\J2EE, Microservices, Spring, Database knowledge, Spring Data JPA, CI\CD, Designing features, Production issue debugging and fixing Proficient in developing security engineering solutions Experience in Software Development Life Cycle Exposure to agile methodologies such as CI/CD, application resiliency, and security Knowledge of information and network security, IT risk management, and architectural concepts and patterns Proficient in specialized tools (e.g., vulnerability scanner) used to analyze incident data Preferred qualifications, capabilities, and skills Familiar with Camunda 8, Database modelling, Performance tuning & Cloud BS/BA degree or equivalent experience. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

As a Principal AI Engineer, he will be part of a high performing team working on exciting opportunities in AI within Ford Credit. We are looking for a highly skilled, technical, hands-on AI engineer with a solid background in building end-to-end AI applications, exhibiting a strong aptitude for learning and keeping up with the latest advances in AIDevelop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . He should be able to lead technical discussion and technical mentor for the team. Professional Experience: Potential candidates should possess 10+ years of strong working experience in AI. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on experience with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Software engineering with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Excellent in communication and presentation skills. Ability to do stakeholder management. Ability to collaborate with a cross-functional team involving data engineers, solution architects, application engineers, and product teams across time zones to develop data and model pipelines. Ability to drive and mentor the team technically, leveraging cutting edge AI and Machine Learning principles and develop production-ready AI solutions. Mentor the team of data scientists and assume responsible for the delivery of use cases. Ability to scope the problem statement, data preparation, training and making the AI model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Understanding of statistics and hypothesis testing.

Noida, Uttar Pradesh, India;Bangalore, Karnataka, India;Gurugram, Haryana, India;Indore, Madhya Pradesh, India;Pune, Maharashtra, India;Hyderabad, Telangana, India Qualification : Strong experience in Python 2+ years’ experience of working on feature/data pipelines using PySpark Understanding and experience around data science Exposure to AWS cloud services such as Sagemaker, Bedrock, Kendra etc. Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practice Experience with statistical models e.g., multinomial logistic regression Experience of technical architecture, design, deployment, and operational level knowledge Exploratory Data Analysis Knowledge around Model building, Hyperparameter tuning and Model performance metrics. Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modelling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). Good To Have: Experience researching and ing large language and Generative AI models. Experience with LangChain, LLAMAIndex, Foundation model tuning, Data Augmentation, and Performance Evaluation frameworks Able to provide analytical expertise in the process of model development, refining, and implementation in a variety of analytics problems. Knowledge on Docker and Kubernetes. Skills Required : Machine Learning, Natural Language Processing , AWS Sagemaker, Python Role : Generate actionable insights for business improvements. Ability to understand business requirements. Write clean, efficient, and reusable code following best practices. Troubleshoot and debug applications to ensure optimal performance. Write unit test cases Collaborate with cross-functional teams to define and deliver new features Use case derivation and solution creation from structured/unstructured data. Actively drive a culture of knowledge-building and sharing within the team Experience ing theoretical models in an applied environment. MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Experience : 4 to 5 years Job Reference Number : 13027

Date live: 06/09/2025 Business Area: Risk Area of Expertise: Risk and Quantitative Analytics Contract: Permanent Reference Code: JR-0000049226 In Risk Barclays develops, recommends, and implements controls and cost-effective approaches to minimise Barclay's risks, identifies and analyses potential sources of loss to minimise risk and estimate the potential financial consequences of an occurring loss. See your commute Join us as an Impairment and Capital AVP at Barclays in the risk measurement team, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Risk Measurement is the team responsible for: Management of monthly RWA calculations Capital reporting and analysis Capital Forecasting and Stress Testing Impairment Oversight To be successful as an Impairment and Capital AVP, you must possess (Basic/ Essential Qualifications): Understanding/working exp with statistical Models. Good analytical skills and exp with SAS, preferred Python. Knowledge of financial services industry and market. Some other highly valued skills may include: Knowledge of Credit risk management in retail lending. Knowledge of Capital regulatory standards (CRDIV). Forecasting, portfolio risk management, risk modelling technique knowledge. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. Location: Noida. Purpose of the role To ensure regulatory and economic capital is calculated accurately and in line with external regulation / internal Barclays policy and to provide oversight and adequacy for expected losses arising from borrowers' defaults on loans, bonds, and other credit instruments. Accountabilities Calculation of RWAs/regulatory capital. Development, calibration, and implementation of credit risk models that estimate the probability of default (PD) and loss given default (LGD) for various borrower segments and credit products and explain the outcomes. Development and utilisation of quantitative models and risk forecasting tools to measure and predict potential credit losses. Analysis of credit trends, identify early warning signs of potential borrowers' issues, and assess the impact of economic and market developments on the portfolio credit losses and regulatory capitlal. Performance of portfolio stress testing exercises to assess the impact of various economic and market scenarios on regulatory capital. Maintenance and management of credit risk data effectively, ensuring accuracy, integrity, and timeliness. Delivery of internal/external regulatory reporting including committees and requirements relating to regulatory capital and impairment. Calculation of economic capital and associated reporting within ICAAP. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. (Opens in new tab or window) (Opens in new tab or window) (Opens in new tab or window) Reasonable adjustment Our purpose Equal opportunities Right to work statement Learn more about Barclays locations Across our campuses, we offer modern workspaces, collaborative areas, and state-of-the-art meeting rooms. Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations. Designed for innovation and comfort, they support a dynamic and productive work environment. Health and wellness A place where you can belong Collaborative Areas More than work Be you. Be valued. Belong. We celebrate the unique perspectives and experiences each individual brings, believing our differences make us stronger and drive success. You can learn more about our commitment to our colleague on our Inclusion and Opportunities page. Learn more Application Process Your application We’ll ask for information about you, your CV and cover letter. 1 Your assessment Covering your behaviours and ability at work. 2 Your interview Exploring your past experiences and skills. 3 Next step We’ll request additional information so that you can complete our screening process 4 Working flexibly We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports your personal needs, alongside the professional needs of our business. If you'd like to explore flexible working arrangements, please discuss this with the hiring manager. Your request will be reviewed in-line with the requirements of the role/business needs of the team. Hybrid working We have a structured approach to hybrid working, where colleagues work at an onsite location on fixed, ‘anchor’, days, as set by the business area. Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business. Barclays is built on an international scale. Our geographic reach, our wide variety of functions, businesses, roles and locations reflect the rich diversity of our worldwide customer base. All of which means we offer incredible variety, depth and breadth of experience. And the chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business. Throughout, we’ll encourage you to embrace mobility, exploring every part of our operations as you build your career.

We are looking for a passionate and curious AI/ML Engineer (Fresher) to join our growing engineering team. This is a unique opportunity to work on real-world machine learning applications and contribute to building cutting-edge AI solutions. Your Responsibilities: • Assist in designing, developing, and training machine learning models using structured and unstructured data • Collect, clean, and preprocess large datasets for model building • Perform exploratory data analysis and statistical modeling • Collaborate with senior data scientists and engineers to build scalable AI systems • Run experiments, tune hyperparameters, and evaluate model performance using industry-standard metrics • Document models, processes, and experiment results clearly and consistently • Support in integrating AI/ML models into production environments • Stay updated with the latest trends and techniques in machine learning, deep learning, and AI • Participate in code reviews, sprint planning, and product discussions • Follow best practices in software development, version control, and model reproducibility Skill Sets / Experience We Require: • Strong understanding of machine learning fundamentals (regression, classification, clustering, etc.) • Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy • Basic familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras • Knowledge of data preprocessing, feature engineering, and model validation techniques • Understanding of probability, statistics, and linear algebra • Familiarity with tools like Jupyter, Git, and cloud-based notebooks • Problem-solving mindset and eagerness to learn • Good communication skills and the ability to work in a team • Internship/project experience in AI/ML is a plus Education: • B.Tech / M.Tech / M.Sc in Computer Science, Data Science, Artificial Intelligence, or related field • Relevant certifications in AI/ML (Coursera, edX, etc.) are a plus About Us: TechAhead is a global digital transformation company with a strong presence in the USA and India. We specialize in AI-first product design and bespoke development solutions. With over 15 years of expertise, we've partnered with Fortune 500 companies and global brands to drive innovation and deliver excellence. Join us to shape the future of intelligent technology and contribute to impactful, world-class AI solutions. Show more Show less

Indore, Madhya Pradesh, India;Hyderabad, Telangana, India Qualification : Define and manage analytics strategy. Provides analytical expertise in the process of model development, refining, and implementation in a variety of analytics problems. Oversees team data scientists, de-bottlenecking issues related to project execution. Work closely with business and product management teams to develop and implement analytics solutions. Collaborate with data engineers & architects to implement and deploy scalable solutions. Communicate results to diverse technical and non-technical audiences. Design accurate and scalable prediction algorithms Generate actionable insights for business improvements. Ability to understand business requirements. Use case derivation and solution creation from structured/unstructured data. Storytelling, Business Communication, and Documentation Actively drive a culture of knowledge-building and sharing within the team Encourage continuous innovation and out-of-the-box thinking. Skills Required : R, Python, TensorFlow, PyTorch, Deep Learning Algorithms, Image/Video Analytics Role : R, Python, Scikit-Learn, TensorFlow, PyTorch Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning and Model performance metrics. MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). Experience : 12 to 16 years Job Reference Number : 11688

Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India;Gurgaon, Haryana, India;Bangalore, Karnataka, India;Pune, Maharashtra, India Qualification : Hands-on experience working with SAS to Python conversions. Strong mathematics and statistics skills. Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc. Ability to understand business requirements. Use case derivation and solution creation from structured/unstructured data Storytelling, Business Communication, and Documentation Programming Skills – SAS, Python, Scikit-Learn, TensorFlow, PyTorch, Keras Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning, and Model performance metrics MLOps, Data Pipeline, Data Engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). ML services from Clouds such as AWS, GCP, Azure, and Databricks Optional - Databricks, Big Data -Basic knowledge of Spark, Hive Skills Required : Python, SAS, Machine Learning Role : Responsilbe for SAS to python code conversion. Acquire skills required for building Machine learning models and deploy them for production. Feature Engineering, EDA, Pipeline creation, Model training, and hyperparameter tuning with structured and unstructured data sets. skills Develop and deploy cloud-based applications, including LLM/GenAI, into production. Experience : 7 to 10 years Job Reference Number : 13070

Company Qualcomm India Private Limited Job Area Information Technology Group, Information Technology Group > IT Programmer Analyst General Summary Qualcomm’s Engineering IT EDAAP team is looking for an independent contributor experienced in development and sustaining enterprise level software applications. Experience 7-10 years of experience developing dashboard with reporting tools – Tableau (Tableau API), Power BI, OBIEE. Skills Must: Expert in developing visualizations/dashboards with Tableau Strong knowledge with SQL Fundamentals in object-oriented design, data structures, algorithms and problem solving. Test, debug and performance tuning of dashboards/reports Experience working in an agile development environment. Translate ad hoc report requests into common dashboards and application requirements Knowledge of different types of enterprise systems, their interaction, boundaries within an enterprise. Understanding of complex data models. Experience working with Oracle/MySQl/Postgres WILLINGNESS to multi task and work in a fast paced environment. Must be willing to take ownership and drive tasks to completion. Desirable Python programming experience. Experience developing dashboards with Power BI. Exposure to Qlikview, OBIEE and ThoughtSpot Experience with semiconductor industry. Experience working with NoSQL Databases (MongoDB) as well as relational DBs (MySQL/Oracle) Education Requirements Bachelor's degree in technical discipline or equivalent experience required. Qualifications 5 or more years of experience in applying AI and machine learning techniques to practical and comprehensive technology solutions. A strong background in machine learning, deep learning, and natural language processing. Expertise in ML, deep learning, Py Torch, Python, NLP and Transformer architecture. Experience in deploying LLMs, embedding model/sentence transformers in production use cases. Thorough knowledge in basic algorithms, object-oriented and functional design principles, and best-practice patterns Strong expertise in programming (Rust/Python) Experience in fine-tuning a large language model using custom content (documents, data, code). Experience in developing Generative AI applications, Agentic Systems and Retrieval Augmented Generation. Experience working with large-scale datasets, preprocess them, and create appropriate data representations. Solid understanding of statistics, linear algebra, and probability theory. Preferred Qualifications Bachelors/master’s degree in computer science, Artificial Intelligence, Data Science, or a related field. Experience in implementing projects involving end to end ML/NLP systems from development to deployment. Experience with transformer-based models (e.g., BERT, GPT, T5, Llama). Experience working in a distributed team. Experience with cloud environments (GCP/AWS). Working knowledge of Rust is a plus. Minimum Qualifications 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelor’s degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3074874 Show more Show less

We are seeking a highly skilled and motivated Credit Risk Analyst to join our dynamic Risk Management team. The ideal candidate will play a critical role in developing, executing, and refining credit risk stress testing models and frameworks to ensure that the organization is well-positioned to manage and mitigate credit risk under various economic and financial scenarios. Key Responsibilities Credit Risk Stress Testing: Develop and execute stress testing frameworks to assess credit portfolio vulnerabilities under adverse scenarios. This includes scenario design, data collection, model execution, and result interpretation. Model Development: Collaborate with risk modeling teams to enhance stress testing models, including probability of default (PD), loss given default (LGD), and exposure at default (EAD) models. Regulatory Compliance: Ensure compliance with regulatory requirements for stress testing, including those prescribed by the Federal Reserve, HKMA, Basel guidelines, and other regulatory bodies. Data Analysis & Reporting: Analyze large datasets to identify trends, risks, and performance gaps. Provide insights through detailed reports to senior management and other stakeholders. Scenario Analysis: Create customized stress scenarios for specific market and credit risk factors such as changes in interest rates, unemployment, or housing market conditions. Documentation & Validation: Maintain thorough documentation of stress testing methodologies and validation efforts for both internal and regulatory audits. Qualifications Educational Background: Bachelor’s degree in Finance, Economics, Mathematics, Statistics, or a related field. Master’s degree or professional certifications such as CFA, FRM, or PRM are preferred. Experience: 1-4 years of experience in credit risk management, stress testing, or financial modeling, preferably in the banking or financial services sector. Hands-on experience with regulatory stress testing frameworks (CCAR, DFAST, CECL) is highly desirable. Technical Skills: Proficiency in statistical and data analysis software (e.g., SAS, SQL). Strong knowledge of credit risk modeling, including PD, LGD, and EAD frameworks. Experience with SQL and other data querying tools is a plus. Regulatory Knowledge: Familiarity with global regulatory requirements (e.g., Basel III, IFRS 9, HKMA, MAS, CCAR, CECL ) related to credit risk stress testing. Show more Show less

Company: ACS Networks & Technologies Pvt. Ltd. Job Type: Full-TimeType: Education/Training/KPO. Location: Shastradhara Road, Dehradun, Uttarakhand - 248001 ACS Networks & Technologies Pvt. Ltd. is looking for a Subject Matter Expert (SME) to guide the development of technical and non-technical solutions for our international clients. The SME will provide in-depth knowledge and expertise in a specific subject, business area, or technical domain, ensuring high-quality and insightful academic content development. About Us: ACS Networks & Technologies Pvt. Ltd. is a leading company in the education and technology sector, providing high-quality academic content and solutions. We are hiring Subject Matter Experts (SMEs) across various subjects to develop high quality content. Subjects Available: Mechanical Engineering Electrical Engineering Civil Engineering Statistics and Probability Physics Accounts Chemistry Finance Key Responsibilities:· Develop high-quality academic content and solutions. Solve subject-specific queries and provide detailed explanations. Review and proofread content for accuracy, Clarity, etc.Create structured and plagiarism-free solutions. Assist in curriculum development and educational content creation. Qualifications & Skills:· Preferred Master’s/Ph.D. in the relevant subject area (Should have scored 8 CGPA or above in Post-Graduation). Strong knowledge and expertise in the chosen subject.Excellent written and verbal communication skills. Ability to research and provide detailed, step-by-step solutions. Proficiency in MS Office, MS word & MS Excel. Prior experience in academic content creation or teaching is a plus. Why Join Us? Competitive salary and growth opportunities.Exposure to global academic content development. A collaborative and learning-driven work environment.Work with a team of experts in various disciplines. How to Apply: Interested candidates can share their updated resumes at shalini.kandari@acstechnologies.net or call us 7037453282 .Join us and be a part of an innovative and knowledge-driven team at ACS Networks & Technologies Pvt. Ltd. Job Types: Full-time, Permanent, Fresher Pay: ₹15,000.00 - ₹23,500.00 per month Benefits: Health insurance Schedule: Day shift Morning shift Night shift Work Location: In person Application Deadline: 13/06/2025

Join us as an Impairment and Capital AVP at Barclays in the risk measurement team, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Risk Measurement Is The Team Responsible For Management of monthly RWA calculations Capital reporting and analysis Capital Forecasting and Stress Testing Impairment Oversight To be successful as an Impairment and Capital AVP, you must possess (Basic/ Essential Qualifications): Understanding/working exp with statistical Models. Good analytical skills and exp with SAS, preferred Python. Knowledge of financial services industry and market. Some Other Highly Valued Skills May Include Knowledge of Credit risk management in retail lending. Knowledge of Capital regulatory standards (CRDIV). Forecasting, portfolio risk management, risk modelling technique knowledge. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. Location: Noida. Purpose of the role To ensure regulatory and economic capital is calculated accurately and in line with external regulation / internal Barclays policy and to provide oversight and adequacy for expected losses arising from borrowers' defaults on loans, bonds, and other credit instruments. Accountabilities Calculation of RWAs/regulatory capital. Development, calibration, and implementation of credit risk models that estimate the probability of default (PD) and loss given default (LGD) for various borrower segments and credit products and explain the outcomes. Development and utilisation of quantitative models and risk forecasting tools to measure and predict potential credit losses. Analysis of credit trends, identify early warning signs of potential borrowers' issues, and assess the impact of economic and market developments on the portfolio credit losses and regulatory capitlal. Performance of portfolio stress testing exercises to assess the impact of various economic and market scenarios on regulatory capital. Maintenance and management of credit risk data effectively, ensuring accuracy, integrity, and timeliness. Delivery of internal/external regulatory reporting including committees and requirements relating to regulatory capital and impairment. Calculation of economic capital and associated reporting within ICAAP. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window) Show more Show less

Job Description As a Principal AI Engineer, he will be part of a high performing team working on exciting opportunities in AI within Ford Credit. We are looking for a highly skilled, technical, hands-on AI engineer with a solid background in building end-to-end AI applications, exhibiting a strong aptitude for learning and keeping up with the latest advances in AIDevelop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . He should be able to lead technical discussion and technical mentor for the team. Responsibilities Excellent in communication and presentation skills. Ability to do stakeholder management. Ability to collaborate with a cross-functional team involving data engineers, solution architects, application engineers, and product teams across time zones to develop data and model pipelines. Ability to drive and mentor the team technically, leveraging cutting edge AI and Machine Learning principles and develop production-ready AI solutions. Mentor the team of data scientists and assume responsible for the delivery of use cases. Ability to scope the problem statement, data preparation, training and making the AI model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Understanding of statistics and hypothesis testing. Qualifications Professional Experience: Potential candidates should possess 10+ years of strong working experience in AI. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on experience with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Software engineering with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . 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. The opportunity We are looking for a Senior Consultant to join our General Insurance Actuarial Practice, delivering solutions to leading clients in the Insurance Sector. You will work closely with other staff/assistants, consultants/seniors, managers, senior managers, or client partners in EY’s global network of insurance sector and consulting professionals. Within our talented and dynamic Actuarial team, members work on multiple client engagement teams that perform CAT modeling, actuarial model building and validations, reserving (actuarial liability estimation), due diligence, valuation analysis for IFRS, GAAP, and statutory calculations and reviews, capital/risk modeling, and other related actuarial projects for General and Health insurance businesses. Team members also receive on-the-job training to acquire practical experience in addressing business/technical issues and in applying industry knowledge and EY policies/procedures on client engagements. The position is designed to enable members to pursue actuarial exams while developing the basic skills needed to be successful actuarial consultants, combining excellent learning and career opportunities. Our growing team of professionals comes from diverse backgrounds, all committed to being long-term trusted advisors to our clients. Your Key Responsibilities As a Senior Consultant within the Actuarial team, your role involves developing and implementing solutions both within the Insurance service line and in collaboration with other service lines. On engagements, you will: Be responsible for providing high-quality results and generating effective solutions while working alongside Senior Consultants, Managers, or Senior Managers in delivering the project. Provide focused solutions and training to staff members. Ensure all engagements are delivered on time. Deliver engagements in line with our values and commitment to quality, ensuring that work meets high standards. Establish/manage priorities, communicate the status of activities, and accumulate/report all chargeable hours. Within the actuarial practice you will: Collect and assess catastrophe exposure data, ensuring data quality and the necessary assumptions for risk modeling. Prepare and analyze data and modeling results for portfolio management and reinsurance renewal projects. Evaluate changes in exposures and their impact on catastrophe model results, effectively communicating findings to internal stakeholders. Model probability distributions of gross, ceded, and net results using RMS or other vendor catastrophe modeling software. Analyze how result distributions and relevant risk measures vary with different reinsurance program alternatives. Contribute to the development and enhancement of proprietary catastrophe modeling and mapping tools. Lead internal catastrophe modeling projects and initiatives. Review monthly reports to assess and manage exposure strategies and ongoing portfolio optimization. Conduct risk analytics, including the development of analytical tools and support for risk analysis. Familiarity with RMS, AIR, ARIUS, Alteryx, IGLOO, ResQ, or other actuarial general insurance software is preferred but not required. Stay updated on current business and economic developments relevant to the industry and geography. We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. Skills And Attributes For Success Skills and attributes for a successful career at EY require a learning mindset and passion to add value to GDS, member firms and client organizations. Bright and enthusiastic individuals who give their all to each assignment they work on will find themselves at home within our energetic GDS actuarial team. To qualify for the role, you must have 4+ years of CAT modeling experience, with in-depth knowledge of the underlying model methodologies and assumptions. An understanding of the insurance industry and product lines. Technical expertise working with RMS or other catastrophe models. Superior data management skills, with the ability to manipulate, interpret, and extrapolate complex data. Strong communication and presentation skills, with the ability to translate complex technical analysis and concepts into easily understandable terms. The ability to multi-task and a flexible work attitude, along with good analytical skills. Experience in handling a small team will be an advantage. Proficiency in MS Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus. Ideally, you’ll also have A strong academic background with a bachelor’s degree emphasizing actuarial science, mathematics, statistics, or finance, ideally supplemented with a professional qualification. Strong written and verbal communication skills for report writing, industry studies, and stakeholder presentations. Overseas exposure (US/UK/Australia market experience). What We Look For Deep knowledge and experience in the insurance industry and/or consulting. Relevant recent Big 4 experience in leading actuarial engagements with recognized insurers will be an advantage. This should ideally be complemented by employment experience within the insurance sector, either at an insurer, intermediary, or regulator. Up-to-date knowledge of the regulatory environment impacting insurers and other financial service organizations. Experience in supporting teams to deliver high-quality, timely results, actively building relationships, and promoting a collaborative culture when working with colleagues. 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. The opportunity We are looking for a Senior Consultant to join our General Insurance Actuarial Practice, delivering solutions to leading clients in the Insurance Sector. You will work closely with other staff/assistants, consultants/seniors, managers, senior managers, or client partners in EY’s global network of insurance sector and consulting professionals. Within our talented and dynamic Actuarial team, members work on multiple client engagement teams that perform CAT modeling, actuarial model building and validations, reserving (actuarial liability estimation), due diligence, valuation analysis for IFRS, GAAP, and statutory calculations and reviews, capital/risk modeling, and other related actuarial projects for General and Health insurance businesses. Team members also receive on-the-job training to acquire practical experience in addressing business/technical issues and in applying industry knowledge and EY policies/procedures on client engagements. The position is designed to enable members to pursue actuarial exams while developing the basic skills needed to be successful actuarial consultants, combining excellent learning and career opportunities. Our growing team of professionals comes from diverse backgrounds, all committed to being long-term trusted advisors to our clients. Your Key Responsibilities As a Senior Consultant within the Actuarial team, your role involves developing and implementing solutions both within the Insurance service line and in collaboration with other service lines. On engagements, you will: Be responsible for providing high-quality results and generating effective solutions while working alongside Senior Consultants, Managers, or Senior Managers in delivering the project. Provide focused solutions and training to staff members. Ensure all engagements are delivered on time. Deliver engagements in line with our values and commitment to quality, ensuring that work meets high standards. Establish/manage priorities, communicate the status of activities, and accumulate/report all chargeable hours. Within the actuarial practice you will: Collect and assess catastrophe exposure data, ensuring data quality and the necessary assumptions for risk modeling. Prepare and analyze data and modeling results for portfolio management and reinsurance renewal projects. Evaluate changes in exposures and their impact on catastrophe model results, effectively communicating findings to internal stakeholders. Model probability distributions of gross, ceded, and net results using RMS or other vendor catastrophe modeling software. Analyze how result distributions and relevant risk measures vary with different reinsurance program alternatives. Contribute to the development and enhancement of proprietary catastrophe modeling and mapping tools. Lead internal catastrophe modeling projects and initiatives. Review monthly reports to assess and manage exposure strategies and ongoing portfolio optimization. Conduct risk analytics, including the development of analytical tools and support for risk analysis. Familiarity with RMS, AIR, ARIUS, Alteryx, IGLOO, ResQ, or other actuarial general insurance software is preferred but not required. Stay updated on current business and economic developments relevant to the industry and geography. We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. Skills And Attributes For Success Skills and attributes for a successful career at EY require a learning mindset and passion to add value to GDS, member firms and client organizations. Bright and enthusiastic individuals who give their all to each assignment they work on will find themselves at home within our energetic GDS actuarial team. To qualify for the role, you must have 4+ years of CAT modeling experience, with in-depth knowledge of the underlying model methodologies and assumptions. An understanding of the insurance industry and product lines. Technical expertise working with RMS or other catastrophe models. Superior data management skills, with the ability to manipulate, interpret, and extrapolate complex data. Strong communication and presentation skills, with the ability to translate complex technical analysis and concepts into easily understandable terms. The ability to multi-task and a flexible work attitude, along with good analytical skills. Experience in handling a small team will be an advantage. Proficiency in MS Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus. Ideally, you’ll also have A strong academic background with a bachelor’s degree emphasizing actuarial science, mathematics, statistics, or finance, ideally supplemented with a professional qualification. Strong written and verbal communication skills for report writing, industry studies, and stakeholder presentations. Overseas exposure (US/UK/Australia market experience). What We Look For Deep knowledge and experience in the insurance industry and/or consulting. Relevant recent Big 4 experience in leading actuarial engagements with recognized insurers will be an advantage. This should ideally be complemented by employment experience within the insurance sector, either at an insurer, intermediary, or regulator. Up-to-date knowledge of the regulatory environment impacting insurers and other financial service organizations. Experience in supporting teams to deliver high-quality, timely results, actively building relationships, and promoting a collaborative culture when working with colleagues. 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

Job Description What We Do: Quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and salespeople, our invaluable quantitative perspectives on complex financial and technical challenges power the business decisions. Within SPG, our team is responsible for utilizing modern and sophisticated quantitative techniques to enhance and further develop our Equities financing and One Delta trading capabilities. This includes traditional derivatives pricing and modelling, as well as automation of our quoting, hedging and risk management activities. YOUR IMPACT You’ll be part of a diverse and talented team, applying your advanced scientific training to tackle new and exciting problems within our Synthetic trading business. Role Responsibilities Develop and maintain derivatives pricing models for SPG, such as Equity Swaps, Futures, OTC equity derivatives etc. Scale the business by increasing automated risk management for exposures to Equity, FX etc. Expand the scope of our pricing capabilities to new underliers/payoffs, solving idiosyncratic challenges along the way. Enhance risk management by backtesting hedging strategies for One Delta products. Collaborate closely with the trading team to ensure daily accurate risk management. Who We Look For An ideal candidate would have strong quantitative and technical problem solving skills, drive to investigate and learn new ideas, and good judgement to deliver quick yet robust solutions. Basic Qualifications Strong academic background in a relevant STEM field (Computer Science, Engineering, Physics or Mathematics) Strong quantitative and programming skills (Java, C++, Python) Strong interpersonal/communication skills Ability to focus both on details and on the big picture Ability to work in a dynamic and fast- paced environment and deliver accurate results quickly Ability to solve problems and to explain underlying ideas Preferred Qualifications Knowledge and understanding of financial markets, financial modeling, a quantitative understanding of probability About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity 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. The opportunity We are looking for a Senior Consultant to join our General Insurance Actuarial Practice, delivering solutions to leading clients in the Insurance Sector. You will work closely with other staff/assistants, consultants/seniors, managers, senior managers, or client partners in EY’s global network of insurance sector and consulting professionals. Within our talented and dynamic Actuarial team, members work on multiple client engagement teams that perform CAT modeling, actuarial model building and validations, reserving (actuarial liability estimation), due diligence, valuation analysis for IFRS, GAAP, and statutory calculations and reviews, capital/risk modeling, and other related actuarial projects for General and Health insurance businesses. Team members also receive on-the-job training to acquire practical experience in addressing business/technical issues and in applying industry knowledge and EY policies/procedures on client engagements. The position is designed to enable members to pursue actuarial exams while developing the basic skills needed to be successful actuarial consultants, combining excellent learning and career opportunities. Our growing team of professionals comes from diverse backgrounds, all committed to being long-term trusted advisors to our clients. Your Key Responsibilities As a Senior Consultant within the Actuarial team, your role involves developing and implementing solutions both within the Insurance service line and in collaboration with other service lines. On engagements, you will: Be responsible for providing high-quality results and generating effective solutions while working alongside Senior Consultants, Managers, or Senior Managers in delivering the project. Provide focused solutions and training to staff members. Ensure all engagements are delivered on time. Deliver engagements in line with our values and commitment to quality, ensuring that work meets high standards. Establish/manage priorities, communicate the status of activities, and accumulate/report all chargeable hours. Within the actuarial practice you will: Collect and assess catastrophe exposure data, ensuring data quality and the necessary assumptions for risk modeling. Prepare and analyze data and modeling results for portfolio management and reinsurance renewal projects. Evaluate changes in exposures and their impact on catastrophe model results, effectively communicating findings to internal stakeholders. Model probability distributions of gross, ceded, and net results using RMS or other vendor catastrophe modeling software. Analyze how result distributions and relevant risk measures vary with different reinsurance program alternatives. Contribute to the development and enhancement of proprietary catastrophe modeling and mapping tools. Lead internal catastrophe modeling projects and initiatives. Review monthly reports to assess and manage exposure strategies and ongoing portfolio optimization. Conduct risk analytics, including the development of analytical tools and support for risk analysis. Familiarity with RMS, AIR, ARIUS, Alteryx, IGLOO, ResQ, or other actuarial general insurance software is preferred but not required. Stay updated on current business and economic developments relevant to the industry and geography. We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. Skills And Attributes For Success Skills and attributes for a successful career at EY require a learning mindset and passion to add value to GDS, member firms and client organizations. Bright and enthusiastic individuals who give their all to each assignment they work on will find themselves at home within our energetic GDS actuarial team. To qualify for the role, you must have 4+ years of CAT modeling experience, with in-depth knowledge of the underlying model methodologies and assumptions. An understanding of the insurance industry and product lines. Technical expertise working with RMS or other catastrophe models. Superior data management skills, with the ability to manipulate, interpret, and extrapolate complex data. Strong communication and presentation skills, with the ability to translate complex technical analysis and concepts into easily understandable terms. The ability to multi-task and a flexible work attitude, along with good analytical skills. Experience in handling a small team will be an advantage. Proficiency in MS Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus. Ideally, you’ll also have A strong academic background with a bachelor’s degree emphasizing actuarial science, mathematics, statistics, or finance, ideally supplemented with a professional qualification. Strong written and verbal communication skills for report writing, industry studies, and stakeholder presentations. Overseas exposure (US/UK/Australia market experience). What We Look For Deep knowledge and experience in the insurance industry and/or consulting. Relevant recent Big 4 experience in leading actuarial engagements with recognized insurers will be an advantage. This should ideally be complemented by employment experience within the insurance sector, either at an insurer, intermediary, or regulator. Up-to-date knowledge of the regulatory environment impacting insurers and other financial service organizations. Experience in supporting teams to deliver high-quality, timely results, actively building relationships, and promoting a collaborative culture when working with colleagues. 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

Your seniority as a security engineer puts you in the ranks of the top talent in your field. Play a critical role at one of the world's most iconic financial institutions where security is vital. As a Security Engineer III at JPMorgan Chase within the Cybersecurity & Tech Controls team, you serve as a seasoned member of a team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Carry out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions in support of the firm’s business objectives Job responsibilities Executes security solutions design, development, and technical troubleshooting with the ability to apply knowledge of existing security solutions to satisfy security requirements for internal clients (e.g., product, platform, application owners) Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Applies specialized tools (e.g., vulnerability scanner) to analyze and correlate incident data to identify, interpret, and summarize the probability and impact of threats when determining specific vulnerabilities Leads delivery of continuity-related awareness, training, educational activities, and exercises Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on security engineering concepts and 3+ years applied experience Hands on experience in React, Java\J2EE, Microservices, Spring, Database knowledge, Spring Data JPA, CI\CD, Designing features, Production issue debugging and fixing Proficient in developing security engineering solutions Experience in Software Development Life Cycle Exposure to agile methodologies such as CI/CD, application resiliency, and security Knowledge of information and network security, IT risk management, and architectural concepts and patterns Proficient in specialized tools (e.g., vulnerability scanner) used to analyze incident data Preferred qualifications, capabilities, and skills Familiar with Camunda 8, Database modelling, Performance tuning & Cloud BS/BA degree or equivalent experience.

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Analyst- Decision Sciences Principal responsibilities Undertake model validation activities as dictated by the Global Model Risk Policy including the assessment of; model inputs, calculations, reporting outputs, conceptual soundness of the underlying theory and the suitability of the use for its intended purpose, relevance and completeness of data, qualitative information and judgements, documentation, and implementation of the model. Provide written reports detailing the results of validations highlighting issues identified during the validation. Validate remediation activities completed by the ILOD to ensure appropriate resolution of identified issues. Communicate technical model related information and results to Model Owners and Model Users through the course of a validation. Contribute to management, regulatory, and external confidence in all models used across the group. Deliver, high quality, timely validation reports that add value to the business. Requirements Worked on regulation in particular with FRTB, performed Bank wide plus desk level analysis to assess the impact of new regulation and support in quantitative impact study (QIS). Ensure that the FRTB IMA models meet their stated objectives by building robust risk factor eligibility test tools, NMRF SES and IMA ESF methodologies (expected shortfall methodologies) Have been involved in development and periodic update of proto-type models with special attention to the model related to Market risk VaR. Involved in creation of strategic tools for VaR/RNIV/Add-on/PnL Adjustment/Back testing using python to facilitate integration with FRTB implementation and offline calculation of risk numbers. Candidate should have experience in developing or validating Value at risk models using Greek based or Full Revaluation, PFE modeling for XVA, Incremental Risk charge (IRC) models etc Candidate should have theoretical understanding in Pricing- Derivatives/ Product Control and hedging models with focus on Interest rate, Equity, FX products Candidate should have experience in Stochastic Volatility modeling, calibration etc Minimum 1-5 years of experience of model validation/development experience in Risk Management in Market risk domain Must have background in financial mathematics knowledge such as stochastic calculus, numerical methods, probability theory, regression, time series analysis. Experience with some statistical modelling software / programming language e.g. Python, R, Matlab, C++, VBA. Experience of presenting recommendations to Senior Management. Experience of conducting independent model reviews. Team-oriented mentality combined with ability to complete tasks independently to a high-quality standard. Master’s or PhD degree in a quantitative discipline like Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics or Engineering. You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

Job Description Software Engineer, Chennai Our NielsenIQ Technology teams are working on revamping multiple platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on NielsenIQ’s data and insights to innovate and grow. As a Python Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and prototyping cutting-edge technologies. As a market research company, we had lot of data analytics, machine learning requirements being implemented in various applications. Our CDAR Platform had various usecase which incorporated AI/ML and Data analytics. Our team is co-located and agile, with central technology hubs in Chicago, Madrid, Toronto, Chennai and Pune Responsibilities Understanding user needs and how they fit into the overall, global solution design Prototyping new features and integrations aligned to business strategy by introducing innovation through technology Following source & test-driven development best practices Troubleshooting and identifying root cause analysis while resolving the issues Write complex, maintainable code to develop scalable, flexible, and user-friendly applications. Importing/Collecting, cleaning, converting and analyzing the data for the purpose of finding insights and making conclusions. Train models, fine tune parameters for maximum efficiency and deploy models. Actively participate in building algorithms for solving complex problems with design and development. Take ownership of the projects and ensure timely deliveries. Collaborate with diverse teams across time zones. Qualifications Minimum of 2 years of experience in large scale production systems and in languages such as Python/R Minimum B.S. degree in Computer Science, Computer Engineering or related field with focus in machine learning Strong software engineering skills and understanding of the ML lifecycle with a minimum of 2 years' experience in ML production systems and in software development Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Fluent in processing data with pandas (e.g., querying, transforming, joining, cleaning, etc.) including experience debugging logic and performance issues Strong understanding of machine learning algorithms with experience writing, debugging, and optimizing ML data structures, pipelines, and transformations Knowledge of statistics, probability, or a related discipline Extensive data modelling and data architecture skills Strong knowledge of version control tools, preferably Bit bucket Basic Knowledge on Linux/Unix environment (basic commands, shell scripting, etc.) Demonstrated ability to work as part of a Global Team Strong troubleshooting and problem-solving skills Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business Preferred Qualifications: Bachelor’s degree or equivalent in Computer Science or a related field with a focus in machine learning Experience using Collaboration Technologies: Azure DevOps, TFS, Jira, Confluence Experience using Atlassian tool suite, including JIRA, Confluence, BitBucket Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion