7 Linear Models Jobs

Hyderabad 5 Days office in a week Final round of interview face to face Mandatory Risk Analyst Model Risk Management (MRM) | ICE We are looking for a Risk Analyst to join the Model Risk Management (MRM) team at ICE. This team independently validates quantitative models used across the business and ensures they perform as expected. The role combines data analysis, statistical modeling, and risk management with clear reporting and presentation to stakeholders. Key Responsibilities: Validate and support risk and financial models across business units Perform data analysis using statistical, mathematical, and computational methods Write clear validation reports and present findings to stakeholders Automate and enhance reporting processes Collaborate with domain experts on risk best practices and policies Required Skills: Masters degree in Economics, Finance, Statistics, Mathematics, or related field Strong knowledge of statistics (distributions, regression, time series, probability, etc.) Hands-on experience with Python or R and SQL Excellent writing, presentation, and communication skills Detail-oriented with strong problem-solving and analytical mindset Preferred: 2+ years’ experience with financial/economic data analysis Progress toward FRM or CFA certifications Exposure to Tableau or other visualization tools

The Analytics & Information Management team at Citi is seeking an Anti Money Laundering (AML) Independent Validation (IV) analyst to join the team in Bangalore. As an IV analyst, you will be responsible for conducting independent validation on AML scenarios, statistical analysis, data visualizations, and data processing in alignment with global standards and regulatory guidelines. Your role will involve presenting findings clearly both in written reports and verbally to stakeholders. To excel in this role, you should have a background in statistics and/or mathematics, with experience in data analysis and data mining being advantageous. Fluency in English, strong communication skills, and the ability to create formal statistical documentation are essential. Knowledge of banking, finance, and AML practices is preferred. Key responsibilities include performing independent validation of AML scenarios, applying statistical methods to analyze data, presenting validation outcomes to stakeholders, extracting and reporting data from databases, and ensuring data quality and reliability. Additionally, you will be expected to conduct annual performance assessments and contribute to process improvements. The ideal candidate will have 3-5 years of experience in the analytics industry, previous experience in financial services, familiarity with AML monitoring systems, and proficiency in tools such as SAS, SQL, Python, Excel, and VBA. A basic understanding of Big Data/Hadoop architecture, segmentation, clustering techniques, and statistical models is desirable. Strong analytical skills, the ability to work well in a team, and a proactive attitude towards innovation are also important qualities for this role. If you possess a Master's degree in a numerate subject and meet the qualifications mentioned above, we encourage you to apply for this full-time position with Citi. Join us in our commitment to diversity and equal opportunity in the workplace.,

As a Data Scientist at Avathon, you will be part of a team revolutionizing industrial AI by developing groundbreaking solutions that enable businesses to leverage their operational data effectively. Our platform integrates and contextualizes siloed datasets, providing a comprehensive operational view that enhances decision-making and efficiency. With cutting-edge capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets for predictive maintenance, performance simulation, and operational optimization tailored to industrial environments. Joining Avathon means being at the forefront of AI innovation, working in a high-growth environment, and making a meaningful impact through AI-driven projects that drive real change across industries and improve lives. As part of the Applied Research team, you will tackle hard, novel challenges in product development and customer engagements. Your role will involve conducting research in machine learning-based solutions to enhance our products and assist our customers. Qualified candidates are expected to have deep analytical skills, expertise in artificial intelligence, machine learning, and data science, as well as experience in designing experiments and deriving empirical conclusions. Strong communication skills are essential for collaborating with research colleagues and customers. Your responsibilities will include: - Engaging with internal product developers, external customers, and subject matter experts to solve critical technical challenges using cutting-edge artificial intelligence. - Conducting research and developing models for commercial and industrial applications in various areas such as forecasting, optimization, anomaly detection, prescriptive maintenance, and health and safety. - Exploring artificial intelligence domains like reinforcement learning, graph neural networks, and continuous learning. - Developing procedures and toolsets to enhance data science activities. - Contributing to AI product development and key research areas, proposing new projects, evaluating proposals, and responding to RFPs related to artificial intelligence. - Writing patent applications and technical publications based on research findings. To be successful in this role, you should have: - Experience in research-level innovation in Data Science and ML, preferably with an advanced degree. - 5+ years of experience in forecasting, optimization, machine learning, and related fields. - Strong understanding of Data Science concepts, machine learning algorithms, and programming languages like Python, R, and Matlab. - Proficiency in machine learning frameworks such as PyTorch, TensorFlow, Theano, and Keras. - Applied knowledge of ML techniques, statistical modeling, and managing large volumes of data. - Experience leading data science project teams and excellent written and verbal communication skills. At Avathon, we are committed to providing reasonable accommodations throughout the recruiting process. If you require any assistance, please reach out to us to discuss how we can support you.,

Job Description: As a Data Scientist - Deputy Manager, your primary responsibility will be to implement solutions to problems using data analysis, data mining, optimization tools, and machine learning techniques combined with statistics. You will be tasked with building data-science and technology-based algorithmic solutions to address various business needs. In this role, you will design large-scale models utilizing Regression, Linear Models Family, and Time-series models. Additionally, you will be driving the collection of new data and refining existing data sources to enhance analytical capabilities. An essential aspect of your role will involve analyzing and interpreting the results of analytics experiments while applying a global approach to analytical solutions within a specific business area and across the enterprise. You should possess the ability to utilize data for Exploratory, Descriptive, Inferential, Prescriptive, and Advanced Analytics. Furthermore, sharing dashboards, reports, and analytical insights from data will be a key component of your responsibilities. Experience in visualizing large datasets is preferred and considered an added advantage. To excel in this position, you must have experience in solving analytical problems using quantitative approaches and a passion for empirical research aimed at answering challenging questions with data. Your expertise should extend to manipulating and analyzing complex, high-volume, high-dimensionality data from various sources. You should be proficient in applying a flexible analytic approach that yields results at different levels of precision and be able to communicate complex quantitative analysis in a clear, precise, and actionable manner. Technical Knowledge and Skills Required: - Expert knowledge of an analysis tool such as Pyspark and Python - Experience working with large datasets, with familiarity in distributed computing tools like Map/Reduce, Hadoop, Hive, etc. - Understanding of relational databases and SQL You're the right fit if: - Possess 5-8 years of experience in engineering or a related field - Demonstrated experience in solving analytical problems using quantitative approaches - Proficiency in manipulating and analyzing complex, high-volume data from various sources - Ability to apply a flexible analytic approach yielding results at varying levels of precision - Strong communication skills to convey complex quantitative analysis clearly and precisely - Expertise in analysis tools such as R and Python - Familiarity with working on large datasets and distributed computing tools How we work together: We believe in the power of collaboration and teamwork. For our office-based teams, working in-person at least 3 days per week is essential. Different roles may require full-time presence onsite at the company's facilities or in the field, typically at customers" or suppliers" locations. About Philips: Philips is a health technology company dedicated to providing quality healthcare accessible to all. Our mission revolves around the idea that every individual matters, and we are committed to ensuring that everyone receives the healthcare they deserve. Join us in making a difference in the lives of others by contributing to our impactful work. Learn more about our business, explore our vibrant history, and discover our purpose. If you find this role intriguing and possess most, if not all, of the required experiences, we encourage you to apply. You might be the perfect fit for this position or other opportunities at Philips. Learn more about our culture of impactful care and consider becoming part of our team.,

As a Quantitative Analyst at Google, your role will be crucial in driving data-informed decision-making across the organization. With a Master's degree in Statistics or Economics, or a related field, along with 8 years of experience in using analytics to tackle product or business challenges, you will be expected to leverage your expertise in coding (e.g., Python, R, SQL) and statistical analysis. Alternatively, if you hold a PhD, 6 years of relevant work experience will also be considered. Your responsibilities will revolve around conducting statistical data analysis encompassing linear models, multivariate analysis, causal inference, and sampling methods. Proficiency in statistical software such as SQL, R, Python, MATLAB, and pandas, as well as database languages, will be essential in executing tasks related to Statistical Analysis, Modeling, and Inference. Preferred qualifications for this role include the ability to translate analysis outcomes into actionable business recommendations. You should possess a deep understanding of causal inference methods like split-testing, instrumental variables, difference-in-difference methods, among others. Moreover, your experience should include selecting appropriate tools for resolving data analysis challenges, articulating business queries, and utilizing data-driven approaches to arrive at solutions. Familiarity with structural econometric methods will be an added advantage. In this position, you will collaborate with various teams and leaders within Google, partnering with Engineers and Product Managers to identify opportunities for design enhancements and assess improvements in advertising measurement products. Your role will involve defining questions related to advertising effectiveness, incrementality assessment, privacy impact, user behavior, brand building, bidding strategies, among others. You will be responsible for developing and implementing quantitative methods to address these questions, working with large and intricate data sets. Your analytical prowess will be put to the test as you tackle complex and non-routine analysis problems, applying advanced methods to derive meaningful insights. From data gathering and exploratory data analysis to model development and result delivery, you will play a vital role in shaping Google's operational efficiency and client solutions. By building and iterating on analysis pipelines, you will provide scalable insights and advocate for necessary changes in Google's data structures and metrics to drive product development forward.,

The Model Risk Management (MRM) team at ICE is seeking a Risk Analyst to join their global Enterprise Risk Management function. As a Risk Analyst, you will collaborate with the MRM team to independently validate quantitative models used across ICE's business units. Your role will involve communicating testing results within the group and beyond, as well as providing targeted analytics services for financial risk models. By applying statistical, mathematical, and computational methods, you will ensure that models are aligned with their design objectives and business applications. Your responsibilities will include validating and supporting models, methodologies, and risk reporting across the organization. You will analyze validation reports, extract meaningful insights from data, and craft a cohesive narrative to communicate the findings effectively. Additionally, you will document methods, techniques, and results meticulously, ensuring the clarity, consistency, and accuracy of model validation reports. Engaging with stakeholders, you will deliver presentations of analytical findings and identify opportunities for report enhancements and automation. To qualify for this role, you should hold a Master's degree or higher in Economics, Finance, Statistics, Mathematics, or a related field. Strong analytical and problem-solving skills are essential, along with a deep understanding of statistical concepts such as descriptive statistics, data visualization, probability, and linear models. Proficiency in programming languages like Python or R, as well as SQL, is required. Moreover, excellent presentation, verbal communication, and business writing skills are necessary, along with demonstrated expertise in data exploration and critical thinking. Preferred qualifications for the position include at least 2 years of experience in financial/economic data analysis. Additionally, progress towards industry certifications like FRM and CFA, as well as familiarity with Tableau for visual analytics, would be advantageous. Join the MRM team at ICE to contribute to model validation and risk management practices, while continuously seeking opportunities for improvement and innovation.,

As a key member of the GSK organization, you will be responsible for enhancing our disease understanding and shaping the future of the Asia Development Biostatistics function. Your role will involve utilizing statistical methods and machine learning techniques to support business critical projects and drive disease-aligned decision-making in R&D. By applying advanced statistical methodologies and collaborating with global functional groups, you will play a crucial role in optimizing analytical methods and ensuring robust evidence for informed decision-making. Your responsibilities will include identifying opportunities to enhance disease understanding, leading strategic projects within Asia Development Biostatistics, and presenting statistical principles and results to stakeholders at all levels. Additionally, you will interact with external scientific groups and vendors to contribute to innovation and the adoption of novel statistical methodologies within GSK Asia and the pharmaceutical industry. To be successful in this role, you should have a PhD in Statistics or a related field, along with a minimum of 10 years of experience in drug development and 5 years of experience in a leadership role. Your knowledge of the drug development process and demonstrated ability to influence positive change will be essential. Additionally, experience in applying various statistical methodologies, digital fluency, and strong communication skills will be beneficial for this position. If you are a proactive and driven individual with a passion for patients, a keen interest in clinical statistics, and a track record of delivering high-quality results under tight deadlines, we encourage you to apply. This role offers the opportunity to lead innovation in Asia Development Biostatistics and contribute to the success of GSK on a global scale.,