58 Statistical Modelling Jobs

You will work alongside the Portfolio Manager to develop systematic trading strategies, focusing on idea generation, data gathering, research/analysis, model implementation, and back testing for systematic global equities strategies. Your responsibilities will include conducting research on various quantitative trading strategies such as fundamental, events, flow, and statistical arbitrage across different regions like US, Europe, Japan, and other non-US equity markets. You are required to have strong programming skills in object-oriented languages like Python and C++, along with a solid understanding of Linux. A degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or a related field from a reputed university is necessary. Ideally, you should have 0-5 years of experience in quantitative equity strategies, either at an asset manager or trading groups within a hedge fund. Internship experience at a top firm can be advantageous for candidates with no prior experience. Proficiency in statistical modeling techniques for equities trading and experience in researching datasets across various regions will be beneficial. Candidates with experience in managing intraday long-short equity portfolios will be highly valued for this position.,

As a Data Analyst/Scientist at TekWissen, you will be part of a global workforce management provider working with clients worldwide. The company values shared ideals and a strong sense of community, striving to create a positive impact on lives, communities, and the planet. Based in Chennai, this position offers a hybrid work type, providing a blend of in-office and remote work opportunities. The ideal candidate for this role should hold a Bachelors, Masters, or Ph.D. in a quantitative domain such as Statistics, Mathematics, Economics, Computer Science, Physics, or Engineering. With 3-5 years of experience, candidates with a background in the automotive domain will be preferred. Freshers with exceptional educational credentials will also be considered for this position. The key skills required for this role include Data Analysis, Statistical Modelling, and Artificial Intelligence, encompassing Machine Learning, Natural Language Processing, and GenAI. Proficiency in Python, Statistics, SQL, and Machine Learning is essential for this role, while knowledge of LLM, cloud services, and GCP is preferred. As an equal opportunity employer, TekWissen Group values and supports workforce diversity, providing a collaborative and inclusive work environment for all employees. Join us in our mission to drive innovation and create a positive impact on a global scale.,

Agoda is an online travel booking platform that offers accommodations, flights, and more to travelers worldwide. The company utilizes cutting-edge technology to connect customers with a vast network of 4.7M hotels and holiday properties, as well as flights, activities, and other travel options. As part of Booking Holdings and based in Asia, Agoda boasts a diverse team of 7,100+ employees from 95+ nationalities across 27 markets, fostering an environment rich in diversity, creativity, and collaboration. The company's culture emphasizes innovation through experimentation and ownership, ultimately enhancing the travel experiences of its customers. The core purpose of Agoda is to bridge the world through travel, believing that travel enables individuals to enjoy, learn, and experience more of the world around them. By bringing people and cultures closer together, travel promotes empathy, understanding, and happiness. The team at Agoda, comprised of skilled, driven, and diverse professionals from around the globe, is united by a shared passion to make a positive impact. Leveraging innovative technologies and strong partnerships, Agoda aims to simplify and enhance travel for everyone. The position available is for a Manager, Analytics & Insights, based in Bangkok, Thailand (relocation provided). The role is within the Analytics team under the Supply department, where new business ideas and partnership types are developed and scaled. Ideal candidates for this position should have a proven track record of leading small analytics functions or creating impactful business verticals from scratch, preferably from a consulting, sales, or business development background with a strong entrepreneurial mindset. The Manager will be responsible for conducting opportunity sizing on new business opportunities, building high-level business cases to justify proposals, collaborating with Product teams to introduce new features, and working directly with external partners to negotiate and finalize deals. Key Responsibilities: - General: Blend of hands-on involvement in business operations and executive-level strategic contributions, leading a team and contributing to overall strategy. - Project Delivery: Manage, standardize, and validate business cases for various aspects including product development, headcount, engineering resources, and strategic roadmap prioritization. - Experimentation: Define success metrics, measure and validate experiments, and cultivate an experimental mindset within the teams. - Forecasting and Insights: Provide a macro-level business intelligence view to identify opportunities, overcome challenges, and drive commercial behaviors across all organizational levels. - Analytics & Alerts: Conduct quantitative analysis, data mining, and presentation of business metrics, identifying key drivers and establishing an effective communication framework based on business value and urgency. - Process Improvement: Collaborate with teams to enhance inter- and intra-departmental efficiencies, optimize processes, and prioritize system enhancements. - Reporting: Develop dashboards, internal and external reports, and present key datasets to facilitate efficient monitoring of performance and efforts prioritization. - Leadership: Lead a team of experts to deliver analytical functions, mentor team members, and ensure effective collaboration with chain and connectivity teams. Qualifications: - 5+ years of leadership experience in analytics, data science, insights, or strategy. - 2+ years of experience leading analytics, operational, product, or technical teams. - Proficiency in data analysis and visualization tools such as Excel, SQL, Tableau, Python, R, or similar software. - Strong statistical modeling and machine learning knowledge. - Experience in deriving data insights and providing actionable business recommendations. - Excellent communication skills with proficiency in written, verbal, presentation, and interpersonal communication. - Ability to multitask, prioritize, and coordinate resources effectively. - Strong program and project management experience. - Bachelor's degree in a business or quantitative field, with experience in articulating strategic issues and negotiating with C-level executives. - People management skills with a track record of developing team members. - Ability to independently drive projects and engage stakeholders throughout the process. Preferred Qualifications: - Master's degree in statistics, economics, mathematics, or a related discipline. - Experience in conducting A/B testing experimentation. - Background in travel industry, e-commerce, technology, or consulting. Agoda is an Equal Opportunity Employer. Applicants" information will be kept on file for future consideration, and requests for removal can be accommodated upon request. The company does not accept third-party resumes and is not responsible for any fees related to unsolicited resumes. For more information, please refer to Agoda's privacy policy.,

As a Data Analyst in the E-commerce industry with a minimum of 3 years of experience, you will be responsible for analyzing complex datasets to identify trends, patterns, and opportunities for business growth within the e-commerce sector. Your role will involve developing, maintaining, and automating dashboards and reports to monitor key performance indicators (KPIs) like conversion rate, customer acquisition cost, customer lifetime value, average order value, and cart abandonment rate. You will conduct A/B testing and hypothesis testing to evaluate the effectiveness of marketing campaigns, website changes, and product launches. Extracting, transforming, and manipulating data from relational databases and data warehousing solutions will be a crucial part of your responsibilities. Using advanced data analysis techniques like predictive modeling, clustering, and regression analysis with tools like Python or PHP will support strategic decision-making. Collaboration with cross-functional teams such as marketing, product management, and operations will be essential to provide data-driven recommendations and insights. Analyzing customer behavior and segmentation to enhance personalization strategies and improve customer experience will be part of your daily tasks. Communicating key insights and trends through compelling data visualizations using platforms like Tableau, Power BI, or similar tools is also expected. To qualify for this role, you should have a Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field, along with a minimum of 3 years of experience in data analysis within the e-commerce industry. Proficiency in SQL for data extraction and manipulation, as well as experience with data visualization tools and programming languages is required. In-depth knowledge of e-commerce metrics and KPIs, excellent analytical skills, and the ability to translate complex data insights into actionable recommendations are essential. Experience with data warehousing solutions and NoSQL databases would be a plus for this position. If you are looking to join a dynamic team and drive business growth through data analysis in the e-commerce sector, we encourage you to apply now.,

The Risk Data Validation & Control (RDV&C) team at Deutsche Bank (DB) is seeking an Associate to join their team in Pune, India. As part of the Credit Risk Data Unit (CRDU) team within Group Finance, you will be responsible for quality assurance activities related to critical risks and regulatory topics impacting the bank. Key stakeholders include Business Finance, Risk Management, Group Reporting, Regulatory Policy Adherence Group, and Production IT Support. In this role, you will be responsible for completing month-end quality assurance controls, validating variances, analyzing Credit Risk RWA Exposure, leveraging exposure regulatory metrics, and calculating exposure where necessary. You will navigate complex risk engine algorithms to conduct root cause analysis on exposure calculations, ensuring accuracy and reflecting the economics of the portfolio. Additionally, you will proactively manage data quality investigations and resolutions, liaise with stakeholders for root cause analysis, provide subject matter expertise to support Finance and Risk teams, and present regulatory metrics to senior audiences globally. The ideal candidate will have a good understanding of regulatory requirements such as ECB CRR, CRD, and Basel, exposure calculations under models like SA-CCR and IMM, exposure metrics like EPE/EE, and statistical modeling. Strong analytical skills, problem-solving abilities, experience with process change, and proficiency in Python, Advanced Excel (VBA), Microstrategy, and MS Access are preferred. At Deutsche Bank, we offer a range of benefits including best-in-class leave policies, gender-neutral parental leaves, childcare assistance benefits, sponsorship for industry certifications, employee assistance programs, insurance coverage, and more. You will receive training, coaching, and support for your career development in a culture of continuous learning and collaboration. Join us at Deutsche Bank to excel together every day, where we empower our people to act responsibly, think commercially, take initiative, and work collaboratively in a positive, fair, and inclusive environment. Visit our website for more information: https://www.db.com/company/company.htm.,

The role involves data analysis and development of deliverables in support of assessment and strategic objectives. You will be responsible for aggregating data, preparing, and analyzing it through statistical modeling to extract insights on the effectiveness of marketing activities. Based on scenario generation, you will recommend future actions. Your detailed analysis will facilitate internal team discussions and client-facing deliverables. You will also be expected to use, evaluate, and improve internal templates, tools, and processes. In addition, you will execute and progress project timelines by actively tracking tasks, building contingencies to address delays, technical challenges, and client requests. Guiding junior team members on methodology and process for executing effectiveness projects will also be part of your responsibilities. You will liaise with client contacts to ensure data and all necessary materials for analysis are available, and present initial findings to clients, gather feedback, and fine-tune the study. Furthermore, you will contribute to building Dentsu's internal products related to analytics and effectiveness. This position is based in Bangalore and is a full-time, permanent role within Dentsu X.,

As the Lead Data & AI Architect for 6G Automation at Nokia, you will play a crucial role within the Nokia Standards Architecture, Security, and Automation team. Your primary responsibility will be to leverage cutting-edge advancements in machine learning, logical reasoning, and data science to advance 6G networks towards autonomous operation. Joining a dynamic global team focused on continuous improvement and innovation in networking research, you will have the opportunity to elevate automation research to new heights. Your role will involve tackling real-world challenges, developing innovative solutions, and offering guidance on the application of artificial intelligence in communication networks. Nokia is seeking a lead architect to steer the research and standardization roadmap for 6G edge and AI automation. At Nokia, we value professionals who not only excel in their expertise but also possess a spirit of innovation, creativity, and visionary thinking. In this role, you will contribute to: - Conceptualizing network intelligent and data-driven automation strategies across wireline and wireless networks - Shaping the future of AI-native, autonomous 6G networks and their core architectures - Defining research and standards roadmaps for network automation and AI innovations - Collaborating with engineering teams to create novel AI solutions for network challenges - Mentoring and guiding network automation practitioners and data engineers - Staying updated on the latest advancements in network automation and AI technology - Building intellectual property assets for Nokia - Representing Nokia in industry events and publications - Supporting standards organizations with contributions and concepts - Validating concepts through experimental work and prototypes Key Skills and Experience: - PhD in computer science, telecommunications, or related field - 5+ years of experience in automation research for wireline and wireless networks - Knowledge of edge networking, machine learning platforms, and AI fundamentals - Hands-on experience in network automation and data analytics - Strong understanding of various AI sub-fields and data frameworks - Experience with standards specifications and project management - Excellent team collaboration skills and a drive for mentoring Desirable skills include R&D project management experience and expertise in network security and cloud platforms. As an autonomous, proactive, and collaborative professional, you will bring vision, systemic thinking, and innovative solutions to complex problems. Your curiosity and research spirit will drive you to innovate beyond the current state-of-the-art. Join Nokia in creating technology that fosters global collaboration and positive impact. Embrace our inclusive culture and be part of a diverse, empowered, and innovative team where your contributions will shape a more sustainable and inclusive world.,

The Data Capability Tooling Sr Analyst role is a senior position that requires a seasoned professional with in-depth disciplinary knowledge. You will contribute to the development of new techniques and process improvements within the data analytics and data analysis domain. Your responsibilities will include performing data analytics across various asset classes and building data science/Tooling capabilities within the team. Collaboration with the Enterprise Data team, particularly the front to back leads, will be essential to deliver business priorities effectively. You will be part of the B & I Data Capabilities team within the Enterprise Data, where you will manage the Data quality/Metrics program and implement improved data governance and data management practices across the region. The focus will be on enhancing Citigroup's approach to data risk and meeting regulatory commitments in this field. Key Responsibilities: - Conduct strategic data analysis, identify insights, and make strategic recommendations, while developing data displays to communicate complex analysis effectively. - Conduct, review, analyze, and build/engineer data capability tools and software components. - Develop and articulate business requirements, map current and future state processes, and advise on operational models tailored to each use case. - Utilize Python and analytical tools to build data science capabilities. - Perform complex data analytics on large datasets, including data cleansing, transformation, joins, and aggregation. - Create analytics dashboards using PowerBI/Tableau. - Produce high-quality business data analysis for asset classes, financial products, systems, and reports in a fast-paced environment. - Communicate findings and propose solutions to stakeholders and convert business requirements into technical design documents. - Collaborate with cross-functional teams and manage testing and implementation processes. - Design, implement, integrate, and test new features, contributing to software architecture improvements and suggesting new technologies. - Demonstrate understanding of how development functions integrate within the business and technology landscape, with a strong focus on the banking industry. - Perform other assigned duties and functions with attention to risk assessment and compliance with laws and regulations. Skills & Qualifications: - Experience in Financial Services or Finance IT. - Familiarity with Data Tracing/Data Lineage/Metadata Management Tools. - Proficiency in Python 3.x and ETL methodology. - Knowledge of BI visualization tools like Tableau and PowerBI. - Strong understanding of RDBMS, such as Oracle and MySQL, and ability to write complex SQL queries. - Experience in working with complex data warehouses and automation tools. - Excellent storytelling and communication skills. - 6-10 years of experience in statistical modeling of large datasets. - Process Improvement or Project Management experience. Education: Bachelor's/University degree, master's degree in information systems, Business Analysis, or Computer Science. Citi is an equal opportunity employer that values diversity and inclusivity in the workplace.,

The ideal candidate should possess knowledge of accounting system, specifically Tally, with proficiency in both inward and outward processes. You will be responsible for demand forecasting based on the Annual Operating Plan, utilizing statistical modeling to determine requirements at the SKU level. Additionally, you will conduct trend analysis and make agile decisions to support inventory control and management. Close coordination with the Purchase Team and Category Team is essential to plan all types of SKUs effectively. It is crucial to understand the production process and apply this knowledge in material planning. Proficiency in advanced Excel and expertise in Excel spreadsheets is a must for this role.,

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place one that benefits lives, communities and the planet Job Title: Data Analyst/Scientist Location: Chennai Work Type: Hybrid Position Description: For Data Analyst/Scientist Education: Bachelors, Masters, or Ph.D. in a quantitative domain including Statistics, Mathematics, Economics, Computer Science, Physics, and Engineering Experience: 3-5 years Automotive domain experience is a plus Freshers with exceptional educational credentials would be considered Skills: Data Analysis, Statistical Modelling, Artificial Intelligence (including Machine Learning, Natural Language Processing, and GenAI) Skills Required: Python, Statistics, SQL, Machine Learning Skills Preferred: LLM, cloud, GCP Experience Required: 5+ Education Required: Bachelor's Degree Education Preferred: Master's Degree TekWissen Group is an equal opportunity employer supporting workforce diversity.

The role of a Data Scientist, Risk Data Analytics at Fidelity International involves taking a leading role in developing Data Science and Advanced Analytics solutions for the business. This includes engaging with key stakeholders in the Global Risk Team to understand various subject areas such as Investment Risk, Non-Financial Risk, Enterprise Risk, Model Risk, and Enterprise Resilience. The Data Scientist will implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts, and collaborate with internal and external teams to progress these concepts to production. Additionally, they will work on maximizing the adoption of Cloud Based advanced analytics solutions by building sandbox analytics environments and supporting delivered models and infrastructure on AWS. The Data Scientist will be responsible for developing and delivering Data Science solutions for the business, partnering with internal and external ecosystem to design and deliver advanced analytics-enabled solutions. They will create advanced analytics solutions on quantitative and text data using Artificial Intelligence, Machine Learning, and NLP techniques, as well as compelling visualizations for customer benefit. Stakeholder management is a key aspect of the role, involving working with Risk SMEs/Managers, stakeholders, and sponsors to understand business problems and translate them into appropriate analytics solutions. The Data Scientist will engage with key stakeholders for the smooth execution, delivery, implementation, and maintenance of solutions. Moreover, the Data Scientist will focus on the adoption of Cloud-enabled Data Science solutions by maximizing adoption of Cloud Based advanced analytics solutions, building sandbox analytics environments, and deploying solutions in production while adhering to best practices. Collaboration and Ownership are essential, which includes sharing knowledge and best practices with the team, providing mentoring, coaching, and consulting advice to staff, and taking complete independent ownership of projects and initiatives in the team with minimal support. The ideal candidate for this role should have a strong educational background with qualifications like an Engineer from IIT/Masters in a field related to Data Science/Economics/Mathematics/M.B.A from tier 1 institutions. They should have a minimum of 9 years of experience in Data Science and Analytics, with hands-on experience in Statistical Modelling, Machine Learning Techniques, Natural Language Processing, Deep Learning, and Python. The candidate should possess excellent problem-solving skills, the ability to run analytics applications, interpret statistical results, and implement models with clear measurable outcomes. Additionally, experience with SPARK/Hadoop/Big Data Platforms, unstructured data, big data, and primary market research is beneficial. Fidelity International offers a comprehensive benefits package, values employee wellbeing, supports development, and promotes flexible working arrangements. The organization is committed to making employees feel motivated by their work and happy to be part of the team. If you are looking to build your future in a dynamic and innovative environment, consider joining Fidelity International's Data Value team. Visit careers.fidelityinternational.com for more information on opportunities to be a part of the team.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize operations and achieve strategic goals. As a Data Analyst at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to assist clients in solving complex business problems. Candidates with 4+ years of hands-on experience are preferred for the role of GenAI Data Scientist at PwC US - Acceleration Center. The Senior Associate level position requires a highly skilled individual with a strong background in data science, particularly focusing on GenAI technologies. The ideal candidate should possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities include collaborating with product, engineering, and domain experts to identify high-impact GenAI opportunities, designing and building GenAI and Agentic AI solutions end-to-end, processing structured and unstructured data for LLM workflows, validating and evaluating models, containerizing and deploying production workloads, communicating findings and insights, and staying current with GenAI advancements. Requirements for this position include a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, 1-2 years of hands-on experience delivering GenAI solutions, proficiency in Python with additional experience in R or Scala, experience with vector stores and search technologies, expertise in data preprocessing, feature engineering, and statistical experimentation, competence with cloud services across Azure, AWS, or Google Cloud, proficiency in data visualization, and strong problem-solving skills. Nice to have skills include relevant certifications in GenAI tools and technologies, hands-on experience with leading agent orchestration platforms, proven experience in chatbot design and development, practical knowledge of ML/DL frameworks, and proficiency in object-oriented programming with languages such as Java, C++, or C#. Candidates with a background in BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA or any related degree are encouraged to apply for this challenging role at PwC US - Acceleration Center.,

As a Senior Manager - Pricing at our organization, you will play a key role in supporting the pricing leadership team in implementing the pricing strategy by utilizing analytical and quantitative tools effectively. Your expertise in pricing will be crucial in analyzing existing pricing ideas, suggesting process improvements, and ensuring costs are kept under control. You will collaborate with various departments such as sales, marketing, customer relations, and finance to align pricing strategies with overall organizational objectives. Additionally, you will evaluate the competitive landscape in specific markets, maintain industry knowledge, and ensure compliance with pricing standards. Your responsibilities will also include leading pricing-related projects, providing support with pricing reviews and business performance calls, and analyzing data to make strategic pricing decisions. Moreover, you will contribute to the growth of gross margin by identifying pricing actions that drive higher sales values. The ideal candidate for this role is an MBA with 5-9 years of experience, possessing strong numerical skills, the ability to communicate financial concepts effectively, and a proactive approach to work. You should be a team player, problem-solver, and have experience working in complex business environments. Excellent analytical, written, and verbal communication skills are essential for this role. Flexibility is valued in our organization, and we offer various flexible working arrangements to support our employees. We are committed to creating an inclusive culture where everyone feels valued and can contribute to our success. Join us in our mission to become one of the best-performing and most trusted consumer products companies globally. If you are inspired to drive transformation and shape the next generation of celebrations for consumers worldwide, this opportunity could be the perfect fit for you. Apply now and be part of our exciting journey towards success.,

As a Specialist at Mastercard, your role will be within the Consumer Acquisition & Engagement team under the Services department in Gurgaon. With 24 years of experience in Analytics, Marketing Science, or Data Science, you will be responsible for leading the design and execution of A/B tests, campaign analytics, and test-control methodologies. Your deep-dive analysis on customer journeys, marketing funnels, and portfolio performance will be crucial in developing predictive models for segmentation, personalization, and targeting strategies. Your thought leadership in marketing measurement and performance optimization will drive business impact through clear storytelling and stakeholder engagement. To qualify for this position, you should hold an undergraduate degree with 2-4 years of analytical experience in consulting, analytics, or data science, specifically focusing on marketing analytics. Proficiency in SQL, Python, R, or SAS is required, along with a strong foundation in A/B testing, test-control analysis, and statistical modeling. Effective communication skills, experience with data visualization platforms, and the ability to manage multiple tasks in a fast-paced environment are essential. Fluency in English and the local office language is necessary, along with eligibility to work in the country of application. Preferred qualifications include experience in digital marketing, lifecycle campaigns, or customer analytics. Exposure to GenAI tools and a Master's degree in Data Science, Statistics, Econometrics, Marketing, or related fields are advantageous. At Mastercard, all employees are expected to adhere to security policies, maintain the confidentiality and integrity of information, report any security violations, and complete mandatory security trainings. Your contribution to Mastercard's culture and growth will be instrumental in driving data-driven marketing products to unlock priceless possibilities globally.,

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

You will be responsible for identifying, extracting, and analyzing data to uncover trends and patterns that facilitate strategic decision-making for business growth. Additionally, you will prepare reports, present findings, and develop a data-driven ecosystem to enhance data accessibility and utilization in daily business operations. Your role will involve identifying process improvement opportunities, designing experiments, testing hypotheses, and scaling successful strategies. Collaborating with business teams to align on strategies, objectives, and success metrics will be crucial, along with providing data-driven recommendations and implementing actionable insights. You will also be involved in developing predictive and prescriptive models to assess the impact of business decisions across fulfillment, sourcing, and marketing, evaluating their effects on customers. To excel in this role, you should have 3-4 years of experience in Business Analysis, Analytics, Business Intelligence, or a similar field. Proficiency in MS Excel, Google Sheets, SQL, and Python is essential. Familiarity with tools like Metabase, MoEngage, Clarity, Google Console, and Looker Studio is preferred. You should also have experience in applying statistical modeling to solve complex problems, as well as a solid foundation in AI/ML techniques such as Regression, Random Forest, and Boosting techniques. Your ability to design and execute analytical projects effectively, solve problems with attention to detail, multitask efficiently, and take ownership of projects will be crucial. Hands-on experience in managing diverse and complex data sources, coupled with excellent communication, leadership, and presentation skills, will help you succeed in this role.,

You are looking for a Digital Finance Manager to lead a team and partner with the Digital Business, Tech & Finance teams across SSCM (US) & SSCB (India) to drive business outcomes in a financially prudent manner. You will be responsible for providing analyses, insights and business intelligence that helps identify performance drivers and guide appropriate tactical actions to improve financial outcomes. To be successful in this role, you should have a strong understanding of financial concepts and online retail acumen. You should be eager to research new trends & concepts and have a partnership mindset to enable Digital & Tech teams to deliver experiences, products and solutions while taking responsibility for financial prudence. A bias towards action and outcomes, forward-looking mindset, strong communication skills, an innate drive for learning & mentoring team, and conflict resolution mindset are essential for this position. As a Digital Finance Manager, your core responsibilities will include acting as a Trusted Finance Business Partner, designing, developing & producing insightful financial & business performance reports, dashboards and analyses. You will provide proactive and timely financial analysis to highlight risks and opportunities for better business decisions, analyze financial performance, and root cause variances to forecasts. You will facilitate financial forecasting and planning processes to support monthly forecasting, annual planning, Board of Director meetings, and Earnings Call preparation. Developing business cases for key initiatives, creating robust financial models, and tracking key KPIs are also part of your responsibilities. Additionally, you will be responsible for ensuring a fully staffed and capable team with a strong culture of delivery and camaraderie. Setting goals, measuring & providing mentorship, guiding on career paths, coaching and mentoring associates on improving their business and financial knowledge, and building a culture of driving value and productivity within the team are crucial aspects of your role. The ideal candidate should have 7 - 10 years of prior experience in Retail / Digital Commerce / Finance functions, experience in managing & coaching teams, and experience in P&L analysis / management. Preferred experience includes managing a full P&L, experience in a GCC environment managing stakeholders across time zones, and working in a large matrixed organization. Education qualifications required for this position include a Bachelor's degree in Engineering / Business / Finance, while a Master's degree in Business / Finance or being a qualified finance professional is preferred. Primary skills required for this role include expertise in business and financial analysis using MS Excel, working knowledge of BI reporting & budgeting tools (Power BI, TM1 or equivalent), and working knowledge of the Microsoft Office suite. Understanding & experience in Python / R based analytical packages and a good background in statistical modeling are desired as secondary skills.,

At Teradata, you will play a crucial role as a Sr. Data Scientist by collaborating with the Region Solution Leads, Services sales teams, Teradata Account Teams, and Product Management Team to support them on pre-sales/solutions activities. Your responsibilities will include conceptualizing Use case solutions, supporting Pre-Sales initiatives, and demonstrating strong technical and interpersonal skills along with a deep understanding of Business use cases, Teradata technology, ClearScape Analytics, Teradata applications, Teradata services portfolio, and partner solutions. You will be expected to support account teams and prospective customers in analyzing and understanding customer requirements through extensive data exploration and analysis phases. Additionally, you will lead discussions and conceptualize solutions, develop collateral for engagement and sales, utilize Analytical tools and Deep Learning frameworks to deliver solutions, participate in brainstorming sessions, build solution showcases, and provide mentoring and guidance to Pre-sales opportunities based on customer requirements. As a qualified candidate, you should hold a minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science, or Statistics, preferably a Masters or Doctorate in the relevant field. You are required to have 10+ years of experience in data-driven fields such as BI, DWH, Analytics, etc., with proficiency in programming languages like R, Python, Java, and SQL. A strong understanding of Statistical concepts, Machine Learning, statistical modeling, Artificial Intelligence, Deep Learning, and business understanding in fields like Telco, Retail, Manufacturing, Healthcare is essential. Your technical skill set should include experience with cloud computing platforms like Azure, AWS, Google, exposure to Teradata platform, and experience as a Technical Lead in presales support and delivery activities. You should possess a willingness to learn, collaborative attitude, strong analytical skills, ability to manage critical situations independently, story-building skills, critical thinking, problem-solving skills, excellent communication skills, and the ability to present complex ideas to technical and non-technical audiences effectively. At Teradata, we prioritize a people-first culture, embrace a flexible work model, focus on well-being, and are dedicated to Diversity, Equity, and Inclusion. Join us in fostering an equitable environment that celebrates the diversity of our people and enables personal and professional growth.,

As an Associate Product Specialist at Mastercard, you will be part of the Consumer Acquisition & Engagement team, a product-centric organization dedicated to developing, commercializing, and enhancing offerings that utilize data and marketing technology to drive clients" marketing performance and business outcomes. Your role will involve leading the design and execution of A/B tests, campaign analytics, and test-control methodologies. Additionally, you will perform in-depth analysis on customer journeys, marketing funnels, and portfolio performance, and develop predictive models to support segmentation, personalization, and targeting strategies. Your expertise will be crucial in providing thought leadership in marketing measurement and performance optimization and translating insights into actionable strategies through clear storytelling and stakeholder engagement. To qualify for this position, you should hold an undergraduate degree with 1-2 years of analytical experience in consulting, analytics, or data science, focusing on marketing analytics. Proficiency in tools like SQL, Python, R, or SAS is essential, along with a strong foundation in A/B testing, test-control analysis, and statistical modeling. Effective communication skills, particularly in translating insights with clarity and executive presence, are key requirements. Experience with data visualization platforms such as Tableau or Power BI is preferred. You should possess analytical, interpretive, and problem-solving skills, as well as advanced skills in Word, Excel, and PowerPoint. An ability to manage multiple tasks in a fast-paced environment and communicate proficiently in English and the local office language is necessary. Preferred qualifications for this role include experience in digital marketing, lifecycle campaigns, or customer analytics, as well as exposure to GenAI tools for marketing insight generation or automation. Holding a master's degree in Data Science, Statistics, Econometrics, Marketing, or a related field is considered a plus. Furthermore, as part of your corporate security responsibility at Mastercard, you are expected to adhere to security policies, ensure the confidentiality and integrity of accessed information, report any suspected security violations, and complete mandatory security trainings to safeguard Mastercard assets, information, and networks.,

As a GenAI Data Scientist at PwC US - Acceleration Center, you will be responsible for developing and implementing machine learning models and algorithms for GenAI projects. Your role will involve collaborating with product, engineering, and domain experts to identify high-impact opportunities, designing and building GenAI and Agentic AI solutions, processing structured and unstructured data for LLM workflows, validating and evaluating models, containerizing and deploying production workloads, communicating findings via various mediums, and staying updated with GenAI advancements. You should possess a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, along with 1-2 years of hands-on experience delivering GenAI solutions and 3-5 years of deploying machine learning solutions in production environments. Proficiency in Python, experience with vector stores and search technologies, familiarity with LLM-backed agent frameworks, expertise in data preprocessing and feature engineering, competence with cloud services, solid grasp of Git workflows and CI/CD pipelines, and proficiency in data visualization are essential requirements. Additionally, having relevant certifications in GenAI tools, hands-on experience with leading agent orchestration platforms, expertise in chatbot design, practical knowledge of ML/DL frameworks, and proficiency in object-oriented programming with languages like Java, C++, or C# are considered as nice-to-have skills. The ideal candidate should possess strong problem-solving skills, a collaborative mindset, and the ability to thrive in a fast-paced environment. If you are passionate about leveraging data to drive insights and make informed business decisions, this role offers an exciting opportunity to contribute to cutting-edge GenAI projects and drive innovation in the field of data science.,

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling

Embark on your transformative journey as a Quant Analytics Wholesale Credit Risk - Vice President. In this role, you will be responsible for developing best-in-class credit risk models using modern model development frameworks and methodologies. Your primary focus will be on driving an increase in value by creating innovative modeling and analytical solutions that enhance the credit risk management and mitigation process through the utilization of broad data and cutting-edge technology. To excel as a Quant Analytics Wholesale Credit Risk - Vice President, you should possess hands-on coding experience, preferably as a full-stack developer or agile developer. Proficiency in languages such as Python and C/C++ is preferred. Additionally, you must have a solid understanding of Credit Risk concepts including Probability of Default (PD), Loss Given Default (LGD), Exposure of Default (EAD), IFRS9/CECL, and CCAR. Experience in Stress Testing/Scenarios Modeling, Model Development and/or Model Validation, as well as Statistical Modeling (particularly for Wholesale credit book) is essential. Highly valued skills for this role may include holding an Advanced Technical Degree (Master's/PhD or similar) in fields such as Statistics, Engineering, Numerical Analysis, Mathematics, Physics, Econometrics, Financial Engineering, Computer Science, or Financial Mathematics. Relevant certifications like GARP-FRM, PRM, CQF, AI/ML Courses, and Coding and Computer Programming are beneficial. Your performance may be evaluated based on key critical skills essential for success in the role, encompassing risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job-specific technical skills. The position is based in Mumbai and entails designing, developing, implementing, and supporting mathematical, statistical, and machine learning models and analytics utilized in business decision-making processes. As a Vice President, your responsibilities will involve designing analytics and modeling solutions for complex business problems, collaborating with technology to specify necessary dependencies, developing high-performing analytics and model solutions, implementing models accurately, providing ongoing support, ensuring conformance to all Barclays Enterprise Risk Management Policies, and maintaining a defined control environment. Expectations for a Vice President include contributing to setting strategy, driving requirements, managing resources and policies, delivering continuous improvements, demonstrating leadership behaviors, advising key stakeholders, managing and mitigating risks, showcasing accountability for risk management, understanding organizational functions, collaborating with other areas of work, and creating solutions based on sophisticated analytical thought. All team members are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive in their conduct.,

At PwC, our team in risk and compliance is dedicated to ensuring regulatory compliance and managing risks for our clients by providing expert advice and solutions. We assist organizations in navigating complex regulatory environments and strengthening their internal controls to effectively mitigate risks. As part of the actuarial services team at PwC, you will play a crucial role in analyzing and managing financial risks for our clients through statistical modeling and data analysis. Your insights and recommendations will help businesses make informed decisions and minimize potential risks. In this role, you will focus on developing meaningful client relationships and honing your skills in leadership. You will navigate challenging situations, enhance your personal brand, deepen your technical expertise, and become more self-aware of your strengths. Your ability to anticipate the needs of both your teams and clients, deliver high-quality work, and adapt to ambiguity will be key to your success. To excel in this position, you will need to possess a diverse set of skills, knowledge, and experiences, including: - Ability to effectively respond to different perspectives and emotions - Utilization of various tools and techniques to generate innovative ideas and solve complex problems - Application of critical thinking to simplify intricate concepts - Understanding the broader objectives of projects and roles and aligning your work with the overall strategy - Developing a deeper understanding of the changing business landscape - Reflecting on your actions to enhance self-awareness, leverage strengths, and address areas for improvement - Interpreting data to derive insights and recommendations - Upholding professional and technical standards and following the Firm's code of conduct and independence requirements As a Senior Associate in PwC Acceleration Centers, you will actively support a range of services, including Advisory, Assurance, Tax, and Business Services. You will engage in challenging projects, deliver exceptional services, and participate in innovative training programs to enhance your technical and professional skills. Within the Risk and Compliance team, you will assist life, annuity, and health clients across audits, consulting projects, and merger and acquisition activities. Your role will involve analyzing complex issues, mentoring team members, maintaining high standards, fostering client relationships, and contributing to technical acumen development. Key Responsibilities: - Supporting life, annuity, and health clients in various projects - Conducting audits and providing consulting services for merger and acquisition activities - Analyzing complex problems and delivering impactful solutions - Mentoring team members to uphold exemplary standards - Building lasting client relationships and understanding their requirements - Collaborating across multiple work streams to achieve project objectives - Enhancing technical skills and knowledge within the team - Contributing to the development of technical acumen Requirements: - Bachelor's Degree - 3 years of relevant experience - Proficiency in oral and written English Desired Qualifications: - Proficiency in actuarial methods and principles - Proficiency in Microsoft Office, particularly Excel - Knowledge of Data Analytics tools such as Python and SQL - Experience with Visualization Tools like Tableau, PowerBI, QuickSight - Strong written and verbal communication skills - Commitment to continuous learning and development - Team player with high-quality standards - Self-motivated with a focus on personal growth,

Join us as an "SM&D Electronic Trading Quant" at Barclays, where you will be responsible for designing and developing mathematical algorithms to support market analytics, execution strategies, pricing, hedging, pre/post-trade analytics, and models. Your main objective will be to create cutting-edge business logic and models to enhance electronic liquidity offerings to clients along with associated analytics. This role will encompass the entire process from requirements gathering to design, implementation, productionisation, optimization, monitoring, and support. The Statistical Modelling and Development team focuses on trading activities within the Markets division, particularly electronic trading. Your responsibilities will include developing algorithms and model-based business logic for electronic trading, applying Data Science to trading and sales activities, and utilizing underlying technology for electronic trading and Data Science applications. Electronic trading aims to provide liquidity to clients on agency and principal basis, involving electronic connections or trading. This requires the development of proprietary algorithms and trading business logic through data mining and statistical techniques. Your tasks will revolve around information extraction from market data, price formation, auto-hedging, algorithmic risk management, execution strategies, and smart order routing. To excel in this role, you should possess a graduation or masters degree from a reputable institution in a quantitative, mathematical, or scientific discipline. Hands-on experience with algorithms or eTrading business logic, strong programming skills (Python, Q/KDB & at least one of JAVA or C++), and excellent verbal and written communication skills are essential. Additionally, a strong understanding of econometrics, statistics, and machine learning tools, prior experience as a quant researcher/trader in a sell-side environment, ability to multitask and work in a dynamic environment both independently and collaboratively, logical thinking, problem-solving skills, and mathematical aptitude are desirable. Your primary purpose will be to provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain. You will apply quantitative analysis, mathematical modeling, and technology to optimize trading and investment opportunities. Your key accountabilities will include developing and implementing quantitative models and strategies, collaborating with sales teams to address clients" needs, conducting in-depth research, data analysis, and statistical modeling to derive insights, providing front office infrastructure support, and sharing expertise on quantitative methodologies and technological advancements. You will be expected to consistently deliver high-quality work, demonstrate in-depth technical knowledge and experience, understand underlying principles and concepts in your area of expertise, lead and supervise a team if applicable, and contribute to the work of related teams within the area. Your role will involve partnering with other functions and business areas, managing risk, ensuring compliance with regulations and codes of conduct, and enhancing controls related to your work. All colleagues are required to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. The team utilizes advanced analytics techniques to assist clients in optimizing their operations and achieving strategic goals. As a member of the data analysis team at PwC, you will be responsible for extracting insights from large datasets using advanced analytical techniques. Your role involves driving data-driven decision-making by applying skills in data manipulation, visualization, and statistical modeling to help clients solve complex business problems. Driven by curiosity, you are expected to be a reliable and contributing member of a team. Working in a fast-paced environment, you will be required to adapt to working with various clients and team members, each presenting unique challenges and scope. Every experience is viewed as an opportunity for learning and growth. Taking ownership and consistently delivering quality work that adds value for clients and contributes to team success is essential. As you progress within the Firm, you will establish a brand for yourself, creating more opportunities for personal and professional growth. Skills required for success in this role include: - Demonstrating a learning mindset and taking ownership of personal development. - Appreciating diverse perspectives, needs, and feelings of others. - Adopting habits to sustain high performance and develop potential. - Actively listening, asking questions for clarity, and effectively expressing ideas. - Seeking, reflecting on, acting upon, and providing feedback. - Gathering information from various sources to analyze facts and identify patterns. - Committing to understanding how businesses operate and developing commercial awareness. - Learning and applying professional and technical standards, upholding the Firm's code of conduct and independence requirements. Responsibilities as an Associate at PwC include working as part of a team to solve complex business issues from strategy to execution. Professional skills and responsibilities at this level involve: - Using feedback and reflection to enhance self-awareness, leverage personal strengths, and address development areas. - Delegating tasks to provide growth opportunities for others and coaching them to achieve results. - Demonstrating critical thinking skills and the ability to structure unstructured problems. - Utilizing a variety of tools and techniques to extract insights from current industry trends. - Reviewing work for quality, accuracy, and relevance, both personally and in a team setting. - Knowing when and how to use tools effectively for a given situation and being able to explain the rationale behind the choice. - Embracing opportunities that expose you to different environments, situations, and perspectives. - Communicating clearly and effectively, structuring communication when influencing and connecting with others. - Adapting behavior to build quality relationships and uphold the firm's code of ethics and business conduct. As a member of the Risk & Regulatory Advisory team, you will provide guidance to financial institutions on various credit risk management topics, such as organization and governance, credit process optimization, risk rating model design and implementation, and Current Expected Credit Losses (CECL) process and tools. Working with a team, you will evaluate, design, and implement credit risk strategies to help clients address market challenges related to credit risk. Basic qualifications for this role include a Bachelor's degree in Business Administration/Management, Mathematics, Statistics, Finance, or Accounting. Preferred degrees include CA or CS, and certifications in FRM or CFA are a plus. A minimum of 1.5 to 3 years of experience is required. Demonstrating abilities in leading or facilitating project management or client consultations related to credit-related activities and credit risk management is essential. Strong knowledge of Allowance for Credit Losses, including methodology, models, and US GAAP requirements under CECL, as well as knowledge of IFRS 9, is advantageous. Proficiency in writing and communication across complex accounting, credit, and model topics is important. Experience in finance, reserve, or controllership at a large financial institution and in designing, building, or validating qualitative reserves for various asset classes is beneficial. In addition, expertise in designing and implementing process improvement solutions using PC applications such as MS Office is required. This includes knowledge of credit reserve methodologies used by financial institutions, successful collaboration with teams, client relationship management, and effective communication of project goals and deliverables. Ability to work with and manage on-shore and off-shore teams, as well as keeping leadership informed of progress and issues, are key competencies for this role.,