1151 Statistical Modeling Jobs - Page 17

You are a skilled Quantitative Researcher who will be joining our team to develop advanced algorithmic trading strategies for cryptocurrency markets. Leveraging your deep quantitative skills, market insights, and statistical modeling, you will be responsible for researching, designing, and testing trading strategies that capture alpha in digital asset markets. Your key responsibilities will include researching and developing quantitative trading strategies for crypto markets across spot, perpetual futures, and derivatives. You will analyze market microstructure, order flow, and liquidity to identify trading opportunities. Additionally, you will design and implement statistical and machine learning models for signal generation, risk forecasting, and anomaly detection. It will be essential for you to perform extensive backtesting, simulation, and performance analysis using historical and live data. Furthermore, optimizing strategies for execution costs, slippage, latency, and market impact will be part of your responsibilities. Collaboration with developers to translate research into production-grade algorithmic trading systems is also a key aspect of the role. Monitoring live strategies and conducting post-trade analysis to refine and improve models, staying updated on market trends, blockchain analytics, protocol updates, and evolving market structure, and contributing to research documentation, strategy reports, and knowledge sharing within the team are also part of your duties. The required skills and qualifications for this role include a strong background in quantitative research, statistical modeling, or applied mathematics, solid programming skills in Python, R, or similar languages for data analysis and prototyping, experience with time series analysis, signal processing, and statistical inference, ability to work with large datasets, proficiency in data cleaning, feature engineering, and data visualization, understanding of trading concepts such as PnL attribution, Sharpe ratio, drawdown, and risk management, interest in cryptocurrency markets and familiarity with crypto-specific market dynamics, excellent problem-solving and critical-thinking skills, and ability to communicate complex quantitative ideas clearly to technical and non-technical stakeholders. Preferred qualifications for this role include prior experience in algorithmic trading or systematic strategy development (crypto or traditional markets), knowledge of crypto market microstructure, DeFi protocols, and blockchain data analytics, familiarity with exchange APIs, order types, and execution logic, experience with backtesting frameworks and simulation environments, machine learning experience applied to financial markets (e.g. feature selection, ensemble models, reinforcement learning), and an academic background in quantitative disciplines (e.g. Mathematics, Statistics, Physics, Computer Science, Engineering, Finance).,

You are an experienced Lead Data Scientist with a minimum of 8 years of professional experience, including at least 6 years in a data science role. Your expertise lies in statistical modeling, machine learning, deep learning, and GenAI. Proficiency in Python is a must, along with hands-on experience in optimizing code for performance. You excel in data preprocessing, feature engineering, data visualization, hyperparameter tuning, and have a solid understanding of database concepts, especially while working with large datasets. You have experience deploying and scaling machine learning models in a production environment, along with familiarity with machine learning operations (MLOps) and related tools. Your knowledge extends to Generative AI concepts and LLM finetuning, supported by excellent communication and collaboration skills. Your responsibilities as a Lead Data Scientist include guiding and mentoring a high-performance team on the latest technology landscape, patterns, and design standards. You provide strategic direction and technical leadership for AI initiatives, leading the design and architecture of complex AI systems. Your role involves developing and deploying machine learning/deep learning models to address key business challenges, applying various techniques in statistical modeling, data preprocessing, feature engineering, and more. You are proficient in areas such as computer vision, predictive analytics, natural language processing, time series analysis, and recommendation systems. Furthermore, you design and optimize data pipelines for model training and deployment, utilizing model serving frameworks and APIs for integration with other systems. Your qualifications include a Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Your primary skills encompass Python, Data Science concepts, Pandas, NumPy, Matplotlib, Artificial Intelligence, Statistical Modeling, Machine Learning, Natural Language Processing (NLP), Deep Learning, Model Serving Frameworks, MLOps, Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems, Generative AI, and proficiency in Cloud Computing Platforms. Your secondary skills involve expertise in designing scalable and efficient model architectures, the ability to assess and forecast financial requirements of data science projects, and strong communication skills for conveying technical concepts to stakeholders. As a Lead Data Scientist, you stay updated with the latest advancements in data science and machine learning, particularly in generative AI, to evaluate their potential applications and serve as a primary point of contact for client managers.,

The Spec Analytics Intmd Analyst is a developing professional role. You will be dealing with most problems independently and have some latitude to solve complex problems. It is essential to integrate in-depth specialty area knowledge with a solid understanding of industry standards and practices. You should have a good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/job family. Applying analytical thinking and knowledge of data analysis tools and methodologies is crucial. Attention to detail is required when making judgments and recommendations based on the analysis of factual information. You will typically deal with variable issues with potentially broader business impact and apply professional judgment when interpreting data and results. Breaking down information in a systematic and communicable manner will be one of your responsibilities. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. There will be a moderate but direct impact through close contact with the business's core activities. The quality and timeliness of the service provided by you will affect the effectiveness of your own team and other closely related teams. Responsibilities: - Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies - Identify and compile data sets using a variety of tools (e.g., SQL, Access) to help predict, improve, and measure the success of key business outcomes - Document data requirements, data collection/processing/cleaning, and exploratory data analysis, which may include utilizing statistical models/algorithms and data visualization techniques - Specialization in marketing, risk, digital, and AML fields is possible - Assess risk appropriately when making business decisions, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets by driving compliance with applicable laws, rules, and regulations, adhering to policy, applying sound ethical judgment regarding personal behavior, conduct, and business practices, and escalating, managing, and reporting control issues with transparency Qualifications: - 5-7 years of relevant experience - Ability to retrieve and manipulate data - Possess analytic ability and problem-solving skills - Working experience in a quantitative field - Willingness to learn and a can-do attitude - Excellent communication and interpersonal skills, be organized, detail-oriented, flexible, and adaptive to a matrix work environment - Ability to build partnerships with cross-functional leaders Education: - Bachelor's/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster.,

Critical Skills to Possess: Advanced working knowledge and experience with relational and non-relational databases. Advanced working knowledge and experience with API data providers Experience building and optimizing Big Data pipelines, architectures, and datasets. Strong analytic skills related to working with structured and unstructured datasets. Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines. Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages. Strong experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse. Familiarity with several of the following technologies: Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services. Azure DevOps experience to deploy the data pipelines through CI/CD. Preferred Qualifications: BS degree in Computer Science or Engineering or equivalent experience Roles and Responsibilities Roles and Responsibilities: You are detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness, and business value. You design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences. You participate in early state design and feature definition activities. Responsible for implementing robust data pipeline using Microsoft, Databricks Stack Responsible for creating reusable and scalable data pipelines. You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products. You have strong communication skills to effectively convey complex data insights to non-technical stakeholders.

Responsibilities : Lead AI Strategy: Oversee AI/ML projects from development to deployment, ensuring alignment with business goals. Model Development & Fine-tuning: Lead the fine-tuning of LLMs and advanced NLP models to meet enterprise needs. Team Leadership: Manage and mentor data science teams, fostering growth and innovation. Cross-functional Collaboration: Work with engineers, product teams, and leadership to drive AI initiatives. Optimization & Deployment: Ensure efficient workflows, containerization (Docker), and scalable model deployment. Client Engagement: Provide strategic insights and translate AI capabilities into business solutions. Good to Have: Cloud Platform Expertise: Experience working with AWS, Azure, or GCP on large-scale AI/ML projects. Enterprise Solutions: Familiarity with enterprise Knowledge Management Systems and their integration with AI-driven tools. Advanced MLOps: Deep understanding of MLOps principles and tools to ensure efficient model deployment and monitoring. Problem-Solving: Ability to break down complex problems into manageable components and design effective solutions. Innovation: A passion for experimenting with cutting-edge AI/ML technologies and applying them to real-world business problems. Required Skills: Technical Skills: Proficiency in Python, with strong expertise in libraries such as PyTorch, Pandas, and NumPy. Extensive experience in fine-tuning large language models (LLMs) and applying advanced NLP techniques. Strong background in handling both structured and unstructured data, with hands-on experience working on complex data transformations. Proficiency in MLOps tools, including Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP). In-depth knowledge of model optimization, deployment pipelines, and scalable production environments. Ability to design and implement AI/ML workflows that balance speed and quality in a fast-paced environment. Leadership Skills: Proven ability to lead and manage teams of data scientists, driving results through mentorship and strategic guidance. Strong project management skills, with experience handling multiple AI projects simultaneously and ensuring timely delivery. Exceptional communication skills to work with cross-functional teams and explain complex AI concepts to non-technical stakeholders.

Please Note- Its 6 days WFO from Client location in Kolkata Role & responsibilities Data Science & AI Specialist in Kolkata requires strong programming skills in Python and experience with AI/ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost). Proficiency in Jupyter and Databricks, along with experience in time-series modeling, advanced regression, anomaly detection, and optimization algorithms , is necessary. An understanding of energy systems, including renewables, grid infrastructure, and smart meters, is advantageous. Candidates should be familiar with cloud platforms (AWS, Azure, GCP) and MLOps tools for model deployment and monitoring, as well as data visualization tools (Power BI) and version control (Git). The ideal candidate will have a bachelors or master’s degree in relevant fields and 2+ years of experience in AI and data science projects , preferably in the energy domain Kindly note that resource must travel to Kolkata Sector 5 client office daily ( No work from home ) and 6 Days a week working

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview Target Data Sciences is offering an exciting opportunity to solve state of the art problems in e-commerce search . Targets Search Technology team is rapidly growing and creating a massive business impact by building cutting edge search systems. We use NLP, deep learning, classical machine learning and LLMs to build the best in class systems. As we build the future of e-commerce search, we are looking for driven and passionate individuals with deep expertise in building ML and engineering systems for Search . If you are that person, you can expect to be involved in: Designing, building and and integrating systems for solving problems across query and content understanding, ranking and relevance and external search Influencing roadmaps and driving its execution with a team of talented scientists and engineers Developing a multi-year vision for search on Target.com Preferred domain experience Creating tech led solutions in e-commerce search and recommendations About You: 4-year degree in quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience 3+ years of professional experience or equivalent industry experience Good knowledge and experience developing deep learning, NLP, classical ML and LLM based solutions Strong analytical thinking skills . Ability to creatively solve business problems, innovating new approaches, where required Strong hands-on programming skills in Python , SQL and Spark Passion for solving interesting and relevant real-world problems using a data science approach Excellent communication skills . Able to communicate with both technical and non-technical audiences. Self-driven and results oriented Strong team player with ability to collaborate effectively across geographies/time zones Know More here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Targets Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Targets culture and apply retail domain knowledge. Position Overview: As a Senior Data Scientist, you will be involved in end-to-end development of Ad-Tech products and capabilities that fulfil strategic priorities and power growth of Roundel, Targets Retail media business. You will leverage understanding of data and algorithms to build prototypes and run experiments to evaluate them against given specifications. As you follow agile processes, you will implement and deploy a scalable data science solution by using MLOps best practices across model development life cycle. You will collaborate with product and business partners to seek feedback on effectiveness of solution and identify future opportunities for enhancements. You will work with your peers to create a well-maintainable & tested codebase with relevant documentation. The exciting part of retail and mediaIts always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience 3+ years of professional experience or equivalent industry experience Good knowledge and experience developing optimization, simulation and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches, where required Strong hands-on programming skills in Python, SQL, Spark, Hadoop/Hive . Good working knowledge of mathematical and statistical concepts, MILP, algorithms and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like r egression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview of the role As a member of theEnterprise Insights teamat Target in India, you will expand efforts to help shape the ideal guest (consumer) experienceand drive business and communication strategies and activations. This role supports the Category Insights team, which focuses on understanding consumer behaviors, attitudes, needs, and motivations across Targets core businesses. You willplay a key role in bridging the gap between business and guests through research by collaborating with multiple stakeholders includingmerchandisers, marketers, category managers, and creative teams. You will be responsible for designing and executing guest or consumer research to support key initiatives. You will be the primary contact for internal partners and will identify the appropriate research method, data source and vendor/supplier to execute work. Target leverages both qualitative and quantitative techniques and various secondary and proprietary sources of data to conduct research studies.As an advocate for the guest, youll be expected to frame findings into compelling insights and stories to establish guest understanding and empathy on the team and drive effective changes. Your work will have to includeactionable recommendationsfor teams to then run with and achieve desired business goals for the organization. As a Sr. Marketing Researcher of Marketing & Brand Insights, you will report to the Sr. Manager, Research & Insights. Responsibilities: Identify best method or mix of methods for the research plan, timeline and resourcing. Work closely with cross-functional teams to identify and develop research plan based on analysis of knowledge gaps, project goals and risks. Conduct consumer research and report findings. Perform thoroughqualitative/quantitativeanalysis to create meaningful insights and actionable recommendations. Work on an iterative approachthrough close alignment with business teams to influence impact of the project. Skills: Ability to operate using a range of quantitative survey methods and techniques, qualitative methods/techniques, ethnographic and anthropological research, statistical testing within quantitative methods, sampling, and data analysis and synthesis across methods Solve business problems with a consumer- centered approach. Strong grasp of quantitative data analysis and statistics from a business perspective, including generating and distilling reports from syndicated and secondary sources Conducting field research (both quantitative and qualitative), including preparing survey design/ discussion guides etc. Strong collaboration to effectively influence a diverse set of stakeholders. Communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization. Manage ambiguity, work autonomously, meet deadlines and multi-task in an agile environment. Preferred Background: Four-year degree or equivalent experience Retail/E-Commerce Experience Minimum of 5 years of Consumer Insights experience Significant experience with different methods of quantitative, qualitative, syndicated and first-party insight tools Experience analyzing syndicated and secondary data sources, as well as macro trend analysis Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

• 4 6 years of relevant analytics experience in banks, NBFCs, Fintechs, consultancies. • Lead end to end execution of analytical requirements including model development, implementation & stakeholder communication. • Strong understanding of ML algorithms and statistical modelling to address problems predominantly in BFSI domain. • Articulate complex data science models / analysis to relevant audience and effectively present the solution in a concise & neat manner. • Design, prototype, build & maintain frameworks for consumption of machine learning models at scale. • Perform feature engineering through extracting meaningful features from traditional and alternate data sources. • Mentor team of data scientists • Proficiency in Python, SQL, AWS / GCP / Azure • Bachelors / Master’s degree in mathematics, Statistics, Economics, Computer Science or other quantitative course Preferred candidate profile

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience

About The Role Grade M3/M4/M5 Role Team Member - Credit Risk Analyst Department Risk Management Reporting Relationship Team Lead Credit Risk Location Mumbai Role Requirements Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and or expert judgement based techniques. In depth understanding of the techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS, Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators. This is the main requirement of the role and the individual should have a good knowledge of this function. Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams. Develop Risk Dashboards and analytical reports for Senior Management. Preparing and submitting reports to the regulator and or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. Ensure reliability, integrity and consistency of reported and underlying data Pre-Requisites About 4 to 8 years of experience in a Bank, NBFC, Consulting Firm, Rating Agency in the areas of working PD, LGD, ECL, EAD. Exposure to risk reporting or financial reporting would be an advantage. Degree in statistics, mathematics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation would be an advantage. Experience and expertise in using any one or more among Python SAS R. Intermediate level SQL skills will be useful. Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. Above average to advanced excel skills Experience in projects involving automation data consolidation in the areas of risk or financial reporting would be an advantage Skills and Knowledge CA or MBA with FRM preferred Understanding analysis of various types of credits Proven management and supervisory skills Excellent interpersonal skills, verbal/written communication skills and strong project management skills Above average to advanced excel skills Experience in working with Python, SQL or SAS would be an added advantage.

The Impact you will have in this role: The Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity at DTCC. The successful candidate will collect, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in both descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments. Your Primary Responsibilities: Monitor and analyze mainframe system performance and capacity trends. Collect, process, and validate large datasets from various system and business sources. Apply descriptive statistical techniques to summarize and interpret raw data. Utilize SAS software to generate reports and insights that inform capacity planning decisions. Collaborate with cross-functional teams to ensure data accuracy and relevance. Contribute to the development of tools and processes that enhance data collection and analysis **NOTE: The Primary Responsibilities of this role are not limited to the details above. ** Qualifications: Minimum of 6 years of related experience Bachelor's degree in a mathematics / statistics subject area preferred or equivalent work experience Talents Needed for Success: Foundational understanding of mainframe systems Proficiency in SAS or similar statistical software. MS Office skills, in particular intermediate PowerPoint, and Excel skills Excellent analytical skills including data exploration, analysis Good foundation in Descriptive Statistics Understanding of mainframe technology and components

Desired Experience Experience of biostatistics in regulated markets Interacted with regulatory agencies (FDA/EMA/PMDA) Experience of biosimilar product development Knowledge of statistical models, meta-analysis, regression, longitudinal data analysis Knowledge of using relevant software including PASS, SAS, SPSS, R Job Description Prepare scientifically sound statistical design for clinical trials Design clinical trials for biosimilars for global requirements (FDA/EMA/PMDA) Perform meta-analysis and calculate sample size Prepare statistical justifications for agency interactions (FDA/EMA/PMDA) Review and provide inputs to statistical sections of clinical trial protocol Plan and perform blinded sample size re-estimation and interim analysis Review and provide inputs to statistical analysis plan and CRF Review tables, listings, figures and clinical study reports Collaborate with internal and external stakeholders (CROs) to resolve issues around statistics Respond to agency queries on issues related to biostatistics Qualification : MSc., PhD in Biostatistics Experience : 10-15 years' experience in a Pharma / CRO

About the Role You'll be the Science Tech Lead (Individual Contributor) for a team of 5-7 members based in India, working closely with Engineering and Product leads to create and execute the direction of the product development. This includes crafting machine learning, statistics, or analytical solutions to achieve business goals, guiding the team's direction through data-driven insights and algorithmic thinking, mentoring scientists and establishing cross functional relationships with partner teams at different locations. Basic Qualifications Undergraduate and/or graduate degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. 9+ years of industry experience as an (Applied / Data) Scientist or equivalent. Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. Experience in experimental design and analysis. Proficiency using Python, Spark at scale with large data sets. Experience with tools like SQL, R in a production environment. Preferred Qualifications Master's/Ph.D. Degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. Experience in tech or marketplace industries. Experienced in partnering with cross-functional stakeholders to execute decisions. Ability to mentor, coach and develop junior team members. Superb communication and organisation skills. What the candidate will do Collaborate with Engineering and Product leadership to define the technical vision and guide team direction by identifying opportunities and creating data-driven solutions. Design innovative solutions and develop prototypes for business challenges using machine learning and statistical algorithms. Establish and guide data analysis and experimentation frameworks to generate business insights and support decision-making. Work closely with Engineering and Product teams to deploy models, improve data observability and metrics, and execute experiments and detailed analyses. Design and evaluate A/B tests, switchback experiments and quasi-experiments, applying best practices in experimental methodology to ensure high-quality, unbiased insights. Partner with Scientists and Engineers to build and enhance the availability, integrity, accuracy, and reliability of data logging and data pipelines. Provide mentorship and technical leadership to other Scientists, promoting a culture of statistical excellence and continuous learning. Communicate effectively with leadership and cross-functional teams, presenting the Science team's work on models, solutions, and data analytics outcomes.

We are seeking a highly experienced and strategic Senior Manager Applied Science to lead and scale our applied research and machine learning initiatives. This role involves working at the intersection of cutting-edge AI/ML technologies and real-world business challenges to drive measurable impact. Key Responsibilities: Lead a team of applied scientists and machine learning engineers to develop scalable AI/ML models. Define and drive the scientific vision, strategy, and roadmap aligned with business goals. Collaborate cross-functionally with product, engineering, and analytics teams. Stay ahead of emerging technologies and apply them to solve complex business problems. Publish research, file patents, or present findings in internal/external forums as needed. Requirements: 10+ years of experience in applied science, machine learning, or data science roles. Strong background in statistics, optimization, deep learning, NLP, or related fields. Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proven experience in leading high-performance technical teams. Advanced degree (Ph.D. or Master’s) in Computer Science, Mathematics, Statistics, or a related field. Excellent communication and leadership skills. Preferred Qualifications: Experience in a product-led tech company or research lab environment. Track record of deploying ML models in production. Publications or patents in relevant areas.

About the Role Uber sends billions of messages to our users across channels such as Email, Push, SMS, WhatsApp, and in-app surfaces, through an internally built CRM system. We're looking for a Product Manager to lead the development of marketing measurement and insight-generation tools. This role will focus on enabling clear performance tracking, consistent measurement, and data-driven decision-makingempowering teams across Uber to optimize marketing efforts with confidence and speed. What the Candidate Will Do Partner with Marketing, Data Science, Engineering, and other cross-functional teams to deeply understand business needs and define measurement strategies. Drive the product vision, roadmap, and execution Build and refine underlying data processes and pipelines to ensure reliable, high-quality datasets that power measurement and insight generation. Collaborate with Engineering to design, implement, and maintain scalable data systems (e.g., data lakes, ETL frameworks) supporting marketing workflows. Develop intuitive dashboards and analytics tools that surface actionable insights on campaign performance, audience engagement, channel effectiveness, and overall marketing impact. Establish frameworks for consistent marketing measurement, including attribution, incrementality, and experimentation, ensuring alignment across diverse teams and markets. Collaborate with stakeholders to define KPIs, track impact, and foster continuous improvement in data-driven marketing decisions. Champion data governance and best practices so that marketers can trust and confidently act on insights. Basic Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical or analytical field. 5+ years of product management experience with a focus on data platforms, analytics, or business intelligence. Strong understanding of marketing measurement, data modeling, and reporting best practices. Experience working with large-scale data infrastructure and tools (e.g., SQL, Looker, BigQuery, Airflow). Ability to translate complex data requirements into simple, user-centric products. Strong cross-functional collaboration and communication skills. Preferred Qualifications Master's degree in a technical field Experience in digital marketing, CRM, or MarTech environments. Familiarity with experimentation and incrementality testing. Interest in applying AI/ML to enhance marketing analytics and insights.

New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing.Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop.4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IAD"s Audit plan for the calendar year." To assist the Team Supervisor Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor." Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies." Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.)" Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss agree with management for effective and timely remediation plans." Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries" Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.)" Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach." Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotak"s values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles]Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotak"s Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes." Person who can work alone, close audits and manage stakeholders" Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelor"s degree mandatory)." A Bachelor"s degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas:" Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. " Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Mandatory Skills: Python for Data Science Experience: 8-10 Years

Whether you're at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you'll have the opportunity to expand your skills and make a difference at one of the world's most global banks. We're fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You'll also have the chance to give back and make a positive impact where we live and work through volunteerism. Citi Finance is responsible for the firm's financial management and related controls. We manage and partner on key Citi initiatives and deliverables, such as our quarterly earnings process and ensuring Citi's compliance with financial rules and regulations. The team comprises chief financial officers who partner with each of our businesses and disciplines including controllers, financial planning and analysis, strategy, investor relations, tax and treasury. We're currently looking for a high caliber professional to join our team as Vice President, NTMR Lead Analyst - Hybrid based in Mumbai. Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decisions, and manage your financial well-being to help plan for your future. For instance: - Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses. - We have a variety of programs that help employees balance their work and life, including generous paid time off packages. - We offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world. In this role, you're expected to take on: The Balance Sheet Management Lead Analyst provides support to the BSM NTMR manager with bank balance sheet management and optimization, balancing financial resources among different competing priorities and how other Non-Trading Market Risk such as FXRBB, Commodity/Equity/CSRBB risk and OCI capital at risk and allocation of cash into debt investment securities contribute to achieving Corporate Treasury's balance sheet optimization objectives and Citi's strategic goals. Ability to learn and understand the strategic direction of the function within the relevant part of the business. Good communication skills are required in order to collaborate and engage a wide range and level of stakeholders. The role is to provide support to the NTMR manager with executing functional strategy in the designed area. Assist with determining the approach to implementing functional strategy and assisting the NTMR manager with reflecting strategic influence on the business and interaction with other functions or businesses. The Balance Sheet Management Model Governance group is the critical team within the Treasury/Balance Sheet Management and is primarily responsible for ongoing maintenance and governance support of the models that are used to generate Non-Trading Market Risk (NTMR) metrics within Treasury, covering Interest Rate Risk, Credit Spread Risk, Foreign Exchange Risk, valuation risk in Fixed Income and derivatives, Funds Transfer Pricing, and other related areas. This team plays an important role in overall balance sheet management and has a direct impact on Citigroup's Capital. The work in this space is subject to heightened regulatory focus and scrutiny. Key Responsibilities: - Provide support to the Non-Trading Market Manager with BSM's management process by providing analytical support with a primary focus on asset allocation, FXRBB, Commodity/Equity/CSRBB risk. - Provide support to the NTMR manager for enhancing BSM's analytics and methodologies and establishing Citi's first-line NTMR management framework (Policy/Standard/Procedures, models, methodologies, reporting, controls, processes, analytics, data, and documentation). - Provide support to align governance and management framework, procedures, and controls for all legal entities that have OCI Risk, FX risk, commodity risk, credit spread risk in the Banking Book. Provide support to the NTMR manager to liaise with businesses, legal entity treasury, CTI and Markets Treasury, and Controllers teams to ensure both an understanding and the ability to manage other non-trading market risks. - Assist with identifying and remediating gaps in other non-trading market risk (excl IRBB) as required by Tier 1 regulations and help to remediate regulatory/audit self-identified issues concerning other non-trading market risks in the banking book and achieve the target state framework. Interact with 2nd line Finance CRO function, regulators, senior management, and Non-Traded Market Risk governance committees. Qualifications and other Requirements: - Relevant statistical modeling/econometrics, model governance or model validation experience in the financial domain - 5 to 7+ years" experience in Financial Services, Treasury, and bank global liquidity investment portfolio. - Experience with debt investment securities and non-trading market risk such as FXRBB, commodity risk, private equity risk, and CSRBB is a plus - Experience with regulatory, compliance, risk management, and financial management, and data governance concerns is a plus - Understanding of Bank ALM, Capital, and Liquidity considerations is a plus - Proven ability to work under pressure in ambiguous environments - Excellent communication skills are imperative i.e. ability to make complex subjects easily digestible for senior management - Exercises proven Power Point and Excel skills - Ability to prioritize in a fast-paced environment Ability to interact with all levels of management Must be a team player Education: - Bachelor's degree in Finance and Business or related fields; an advanced degree is a plus. - Proficient with Bloomberg, fixed income analytical tools, Python and/or database - Strong power point presentation - Understanding of accounting general ledger Take the next step in your career, apply for this role at Citi today.,

Teleperformance is a leading provider of customer experience management, offering premier omnichannel support to top global companies. Our diverse service locations, including on-site and work-at-home programs, ensure flexibility and broad reach. Why Choose Teleperformance? We emphasize the importance of our employees, fostering enduring relationships within our teams and communities. Our dedication to employee satisfaction distinguishes us. Utilize advanced support technologies and processes engineered to achieve outstanding results. We cultivate lasting client relationships and make positive contributions to our local communities. Become Part of an Exceptional Team Join Teleperformance, where our world-class workforce and innovative solutions drive success. Experience a workplace that values your development, supports your goals, and celebrates your accomplishments. Job Description Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business (eg, Market Economics, Supply Chain, Marketing/Advertising, Financial Services, Scientific Research, etc). Activities include: defining data requirements, data collection, processing, cleaning, analysis, modeling and visualization. Examines and identifies data patterns and trends to help answer business questions and improve decision making. Provides inputs for complex Data Science and Big Data Mining projects. Identifies areas to increase efficiency and automation of data analysis processes. Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes. Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.

Join Teleperformance Where Excellence Meets Opportunity! Teleperformance is a leading provider of customer experience management, offering premier omnichannel support to top global companies. Our diverse service locations, including on-site and work-at-home programs, ensure flexibility and broad reach. Why Choose Teleperformance? We emphasize the importance of our employees, fostering enduring relationships within our teams and communities. Our dedication to employee satisfaction distinguishes us. Utilize advanced support technologies and processes engineered to achieve outstanding results. We cultivate lasting client relationships and make positive contributions to our local communities. Become Part of an Exceptional Team! Join Teleperformance, where our world-class workforce and innovative solutions drive success. Experience a workplace that values your development, supports your goals, and celebrates your accomplishments. Job Description Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business (eg, Market Economics, Supply Chain, Marketing/Advertising, Financial Services, Scientific Research, etc). Activities include: defining data requirements, data collection, processing, cleaning, analysis, modeling and visualization. Examines and identifies data patterns and trends to help answer business questions and improve decision making. Provides inputs for complex Data Science and Big Data Mining projects. Identifies areas to increase efficiency and automation of data analysis processes. Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes. Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.

As a Machine Learning Engineer at our company located in Coimbatore, Tamil Nadu, India, you will play a crucial role in developing, validating, and implementing machine learning models and algorithms. Your main responsibilities will include analysing large and complex datasets to derive actionable insights and collaborating with cross-functional teams to seamlessly integrate models into our products and services. It will be essential for you to stay updated with the latest techniques in statistical modeling and machine learning to ensure we are leveraging cutting-edge technologies. To excel in this role, you must have proven experience in machine learning algorithms and statistical modeling. Proficiency in Python is a must, along with familiarity with data science libraries such as TensorFlow, Scikit-learn, and Pandas. Additionally, experience with cloud platforms is required, with expertise in Google Cloud being preferred, though experience with AWS or Azure is also valuable. Your strong analytical and problem-solving skills will be put to the test, and your excellent communication abilities will be crucial in explaining complex models to non-technical stakeholders. In addition to the technical requirements, having previous experience in ERP systems and familiarity with big data technologies like Hadoop and Spark will be advantageous. An advanced degree in Computer Science, Statistics, or a related field is also a key qualification for this position. What makes this job great is the opportunity to work with a team of smart individuals in a friendly and open culture. You will not have to deal with micromanagement or cumbersome tools, and rigid working hours will not be a concern. At our company, you will have real responsibilities and the chance to expand your knowledge across various business industries. Your work will involve creating content that directly impacts our users on a daily basis, presenting you with real responsibilities and challenges in a fast-evolving company. Join us in this exciting role where you can contribute to cutting-edge machine learning projects and be part of a dynamic and innovative team.,

Niograph is a fast-growing startup specializing in data and artificial intelligence, offering consulting and innovative solutions across various industries. We focus on digital transformation, data and AI consulting, data visualization, data engineering, data analytics, and staff augmentation. Operating in the US, Middle East, and European markets, we deliver cutting-edge data-driven solutions to enhance business operations. We are seeking a highly skilled and experienced Data Science Lead to join our team. The ideal candidate will be responsible for leading a team of data scientists and analysts, driving data-driven decision-making, and designing innovative solutions to solve complex business challenges. You will collaborate with cross-functional teams to implement advanced machine learning models, develop data strategies, and ensure the delivery of impactful insights for our clients in the US, Middle East, and European markets. Responsibilities: - Lead and mentor a team of data scientists and analysts, fostering a culture of collaboration and innovation. - Define and implement data science strategies aligned with business goals. - Design, build, and deploy machine learning models to solve real-world problems. - Collaborate with engineering teams to ensure seamless integration of data science solutions into production. - Work closely with stakeholders to identify business challenges and translate them into data science projects. - Oversee the development and deployment of predictive and prescriptive analytics solutions. - Ensure data quality, governance, and compliance with industry standards and regulations. - Stay updated on the latest advancements in data science, machine learning, and AI to drive innovation. - Prepare and deliver technical presentations and insights to stakeholders and clients. - Provide regular updates on team performance, project progress, and outcomes to senior management. Qualifications: - Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (Masters or PhD preferred). - Proven experience in leading and managing data science teams. - Strong expertise in machine learning, AI, and statistical modeling techniques. - Proficiency in Python, R, SQL, and other relevant programming languages. - Experience with cloud platforms like AWS, Azure, or GCP for data science and analytics. - Familiarity with data visualization tools such as Tableau, Power BI, or similar. - Excellent problem-solving skills and the ability to work with large datasets. - Strong knowledge of data governance, security, and compliance standards. - Exceptional communication skills, both verbal and written, with the ability to explain technical concepts to non-technical audiences. - Experience in the finance, healthcare, or logistics industries is a plus. - Willingness to travel as required for client engagements and project implementations. Other Details: Joining Date: 15-01-2025 (Immediate) Work Location: As per End Customer Requirement Job Requisition Budget: As per Industry Standard Last Date to Apply: 10-01-2025 Preference: Delhi NCR candidates are preferred Contract Details: This is a 6-month contract role and may transition to a full-time role based on performance.,