1151 Statistical Modeling Jobs - Page 45

Project Role : Cloud Migration Engineer Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes. Must have skills : Cloud Migration Planning Good to have skills : Microsoft Azure IaaS, VMWare Cloud AdministrationMinimum 7.5 year(s) of experience is required Educational Qualification : Graduate Post Graduate BE B Tech MSC IT M Tech M Sc CS Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate their migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies. You will focus on creating scalable and high-performance solutions that drive next-generation business outcomes, ensuring that the migration process aligns with organizational goals and enhances operational efficiency. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Develop and maintain comprehensive migration plans that outline timelines, resources, and risk management strategies.- Facilitate training and knowledge transfer sessions to ensure team members are equipped with the necessary skills for cloud technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Migration Planning.- Good To Have Skills: Experience with Microsoft Azure IaaS, VMWare Cloud Administration.- Strong understanding of cloud architecture and deployment models.- Experience with data migration tools and techniques.- Familiarity with security best practices in cloud environments. Additional Information:- The candidate should have minimum 7.5 years of experience in Cloud Migration Planning.- This position is based at our Bengaluru office.- A Graduate Post Graduate BE B Tech MSC IT M Tech M Sc CS is required. Qualification Graduate Post Graduate BE B Tech MSC IT M Tech M Sc CS

Lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and deploy models using CML workspaces, Build CI/CD pipelines for ML lifecycle Integrate with governance and monitoring tools,Enable secure model serving via REST APIs Preferred technical and professional experience Model governance, lineage, and versioning API exposure for real-time inference

Educational Requirements Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Responsibilities Anchor ML development track in a client project Data collection, profiling, EDA & data preparation AI Model development, experimentation, tuning & validation Present findings to business users & project management teams Propose ML based solution approaches & estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoring – Guide junior team members & evangelize AI in organizationTechnical skills ProgrammingPython, R, SQL ML algorithmsoStatistical ML algorithmsoDeep Neural Network architecturesoModel ensemblingoGenerative AI modelsoML for Responsible AI AI domains - NLP, speech, computer vision, structured data Learning patterns – supervised, unsupervised, reinforcement learning Tools for data analysis, auto ML, model deployment & scaling, model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets, pre-built models available in open community and 3rd party providers Knowledge of software development & architectures Knowledge of hyperscalers & their AI capabilities – Azure, AWS, GCP Knowledge of Model Quantization and Pruning Preferred Skills: Technology-Machine learning-data science Technology-Machine Learning-Accord Technology-Data Science-Machine Learning Technology-Machine Learning-Generative AI

. Novo Nordisk Global Business Services ( GBS) India Department - Commercial DD&IT GBS Are you passionate about leading complex IT programsDo you thrive in a dynamic environment where strategic thinking, collaboration, and innovation come togetherIf you have a proven track record in IT Program Management and are ready to make a difference, we want to hear from you! We are seeking a senior IT Program Manager to lead a large-scale, complex Customer Engagement ecosystem program supporting the HCP Engagement at a global environment (excluding USA). The role will focus on modernization and migration of the Customer Engagement ecosystem, integrating with portals, analytics and marketing platforms ensuring aligned delivery across business, markets, and technology stakeholders within a matrix organization. Read on and apply today for a life-changing career. ! The position As a Sr Program Manager- HCP Engagements at Novo Nordisk, you will: Lead the planning, execution, and governance of IT programs to ensure successful outcomes. Lead the end-to-end delivery of Customer Engagement program including migration from legacy systems to newer technologies. Define and manage program plans, roadmaps, dependencies mapping, and milestones ensuring on-time, quality delivery aligned with business objectives. Drive complex integrations with other enterprise systems (e.g.MDM, data warehouses, analytics, marketing automation, and HCP Portals). Engage with global and local business stakeholders (medical, commercial, compliance, data privacy) for requirements gathering, prioritization and alignment. Act as the primary escalation point for program risks, dependencies, and decision-making with senior leadership. Navigate a matrix environment while balancing global standards with local market needs. Drive execution of migration roadmaps including data migration, process harmonization, and change management planning. Collaborate with architecture and platform teams to ensure scalable, compliant configurations aligned with HCP engagement goals. Oversee validation, UAT, and cutover activities ensuring minimal business disruption. Manage vendor relationships including product implementation partners and system integrators. Proactively identify and mitigate delivery and operational risks. Ensure programs adhere to pharma quality, compliance (GxP, GDPR) and data privacy standards. Drive strategic alignment of IT initiatives with broader organizational goals. Establish clear project timelines, budgets, and deliverables, ensuring projects are delivered within scope, time, and budget. Facilitate communication and collaboration across cross-functional teams, including IT, business units, and external partners. Identify potential risks, develop mitigation strategies, and proactively address challenges. Champion digital transformation initiatives and promote the adoption of innovative digital solutions. Evaluate emerging technologies and recommend their integration into existing systems. Qualifications We are looking for a candidate who can bring the following skills and experience to the role: Bachelors degree in computer science, Information Technology, Business Administration, or a related field. A masters degree is preferred. Minimum 15+ years of experience in IT program management, with at least 12+ years in a senior or leadership role. Proven track record in managing complex digital and IT projects, including strategy development, implementation, and stakeholder engagement. Familiarity with IT infrastructure, software development lifecycles, and emerging digital technologies. Strong experience in budgeting, vendor management, stakeholder engagement, resource allocations etc. for large scale programs. Strong leadership and people management skills, with a consistent track record to build and lead impactful teams. Excellent communication, negotiation, stakeholder leadership and conflict resolution skills. Superb analytical and problem-solving skills with a focus on continuous improvement. Ability to engage, build and sustain trusted relationship both internally and externally. Proven track record of working in matrix setup of internal and external partner setup to deliver quality service management. Preferred Skills VEEVA/Salesforce certifications or formal training. Experience with CRM analytics and data migration tooling. Background in implementing CRM integrations with marketing automation platforms and content management systems. Experience in leading organizational change management alongside CRM rollouts. About The Department Commercial DD&IT GBS, established in 2010 and restructured as Sales & Marketing IT in 2015; is today an integral part of the DD&IT GBS unit in Bangalore, India. The team comprises of close to seventy young and passionate IT professionals from across India and diverse industries. With experienced people in latest technology, niche platforms, System Management, Project/Product Management, Data DevOps, Multichannel Customer Engagements, Agile delivery model and more; the team today caters to the IT System needs of all the Commercial functions including Sales, Marketing, Market Access, Commercial Effectiveness, and Medical Affairs. As an IT business partner to the Commercial functions, Commercial IT India has also embarked on the Global IT transformation journey by implementing new and Agile ways of working with focus on learning, simplicity, standardization and efficiency. Commercial IT India in its journey of last 10 years has come a long way in expanding its global footprint across all 7 Regions in IO, North America Operations and Commercial Strategy and Corporate Affairs in HQ & IO.

locationsPune - West time typeFull time posted onPosted 30+ Days Ago job requisition idJR-0004722 Key roles and responsibilities Conduct comprehensive analyses, including Carbon Emissions Tracking, Carbon Footprint Assessments, Environmental Impact Analyses, Life Cycle Assessments (LCAs), Emissions Reduction Strategies, Climate Policy Development, Advocacy, Climate Modeling, Scenario Planning, and target setting aligned with Science-Based Targets (SBTi). Develop and execute data-driven strategies to assist investment managers and portfolio companies in reducing carbon emissions and setting targets. Lead initiatives to improve the sustainability performance of the Apex Group and promote responsible business practices across the organization. Contribute to the enhancement of existing ESG products and the development of innovative new offerings. Stay informed on global ESG standards and frameworks, ensuring the firms services meet current and emerging market expectations. Skills and qualifications required A masters degree in environmental engineering, sustainability, or a related field is required. Additional certifications in climate risk or ISO standards are highly desirable. Extensive experience in climate change, environmental issues, and sustainability, particularly within reputable consulting or advisory firms, financial services, or research organizations. Hands-on experience in carbon footprint analysis, GHG assessment, and climate risk advisory, with strong technical expertise in climate change, SBTi, LCA, ISO 14044/14064, decarbonization strategies, and climate risk modeling. A deep understanding of sustainability challenges across various industry sectors. Proficiency in ESG frameworks, such as SASB, GRI, TCFD, UN PRI, CSRD/NFRD, and SFDR. Strong skills in quantitative and qualitative data collection, analysis, and reporting. Excellent communication and interpersonal skills, with the ability to influence both internal and external stakeholders effectively. High proficiency in video conferencing, written communication, and presentation skills. Exceptional organizational skills and a keen attention to detail. Proficiency in MS Office is essential. Knowledge of programming languages is an added advantage. For Senior Associate and above positionsExperience in people management, product management, and process improvements is advantageous. Prior consulting or advisory experience is mandatory for Senior Associate and above roles.

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Key roles and responsibilities Conduct comprehensive analyses, including Carbon Emissions Tracking, Carbon Footprint Assessments, Environmental Impact Analyses, Life Cycle Assessments (LCAs), Emissions Reduction Strategies, Climate Policy Development, Advocacy, Climate Modeling, Scenario Planning, and target setting aligned with Science-Based Targets (SBTi). Develop and execute data-driven strategies to assist investment managers and portfolio companies in reducing carbon emissions and setting targets. Lead initiatives to improve the sustainability performance of the Apex Group and promote responsible business practices across the organization. Contribute to the enhancement of existing ESG products and the development of innovative new offerings. Stay informed on global ESG standards and frameworks, ensuring the firms services meet current and emerging market expectations. Skills and qualifications required A masters degree in environmental engineering, sustainability, or a related field is required. Additional certifications in climate risk or ISO standards are highly desirable. Extensive experience in climate change, environmental issues, and sustainability, particularly within reputable consulting or advisory firms, financial services, or research organizations. Hands-on experience in carbon footprint analysis, GHG assessment, and climate risk advisory, with strong technical expertise in climate change, SBTi, LCA, ISO 14044/14064, decarbonization strategies, and climate risk modeling. A deep understanding of sustainability challenges across various industry sectors. Proficiency in ESG frameworks, such as SASB, GRI, TCFD, UN PRI, CSRD/NFRD, and SFDR. Strong skills in quantitative and qualitative data collection, analysis, and reporting. Excellent communication and interpersonal skills, with the ability to influence both internal and external stakeholders effectively. High proficiency in video conferencing, written communication, and presentation skills. Exceptional organizational skills and a keen attention to detail. Proficiency in MS Office is essential. Knowledge of programming languages is an added advantage. For Senior Associate and above positionsExperience in people management, product management, and process improvements is advantageous. Prior consulting or advisory experience is mandatory for Senior Associate and above roles.

We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams.

We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams.

The Head of Model Management India has responsibilities for the MoRM function operating out of India Position Specific Responsibilities: The Head of Model Risk Management India is responsible for management of the MoRM department located in India. This includes the application of validation standards to model validation performed by the Model Risk Management function based in India. Strategy: Defines the people strategy for MoRM India, including management, recruiting and retention and implementation of measures to operate within relevant scorecard metrics; Agrees Book of Work applicable to MoRM India with Model Risk Managers and Global Head of Governance, Control, & Analytics. 1. Risk Management: Oversee validation of models in scope, including (for new models and periodic review of existing models): - Specifying and implementing validation testing across, validation documentation, and validation outcomes; - Assessing whether models are performing as expected, in line with their design objectives and intended scope and purpose, and working with model developers, Senior Model Users, and Model Owners to improve models, where required; - Provision of documented decision of the appropriateness of a model for its intended purpose, advising on conditions for use, limitations, and findings where appropriate; - The issuance of Validation Findings and subsequent review for closure following model developers and Model Owners submission; Providing regular monitoring and oversight of the models in scope to enable model risk is kept within the set appetites and limits and supports model risk governance related activities; Overseeing the remediation of internal and regulatory findings relevant for the covered models areas. 2. Operations: Oversees the management and maintenance of operations in MoRM India, including the design and implementation of its operating model and people management; Oversees the development, implementation, and maintenance of the Model Risk control framework in India to ensure both internal and regulatory compliance, delivering remediating action where gaps in the control framework are identified; Contribute to framework enhancements across the department. 3. General Responsibilities The general responsibilities set forth below apply in respect of the particular area of competence, i.e. are generally limited to the scope of the respective Unit on the one hand, and to the regional coverage of the position on the other hand. Complies and procures compliance with applicable laws and regulations, taking particular account of compliance with applicable corporate and banking laws and regulations as well as compliance with anti-money laundering, anti-corruption, anti-fraud and anti-market manipulation rules, embargo requirements and any other rules aiming at preventing any kind of other criminal activities as well as data protection, confidentiality and (non-)disclosure requirements. Fulfils all obligations towards supervisory authorities and accredited investigators, including any due notifications and any requirements on submission of information. Complies and endorses compliance with DB Groups internal rules in general. Defines and ensures effective implementation of relevant strategies within defined Risk Appetite and Tolerance, ensuring that the Units strategy is in line with DBs Group risk strategy and monitors deliverables and performance targets. Ensures the implementation of Policies and Procedures by and within the Unit. Acts as escalation channel, being accountable for dispute resolution and for overseeing disciplinary processes. Ensures the Units proper and transparent organisation along the core organisational requirements as laid out in DBs Internal Corporate Governance Policy, and in particular also taking account of applicable segregation requirements and avoiding/ addressing conflicts of interest. Manages risks and oversees controls in respect of risk types which fall within the remit of the Unit by way of implementing and maintaining an adequate and effective risk management, including identification, assessment and management (incl. control, monitoring and reporting) of risks. Represents the Unit towards internal/ external stakeholders; maintains and fosters internal and external key (business) relationships. Ensures the remediation of issues and is accountable for delivery of Units remediation actions. Drives collaboration and trust-based relationships both within the Unit as well as across Units. 4. Responsibilities in the matrix Ensures proper information flow to all dimensions of the matrix (Unit, country and entity) and notifies in a timely manner the appropriate representative(s) of these dimensions on (intended) actions or decisions which may have a material impact on their operations. Involves Country Management in the decision-making processes, to the extent the respective decisions have a material impact on the respective country and in line with need to know and further confidentiality/ information restriction requirements. 5. Leadership Responsibilities Sets clear direction for the team in line with overall business strategy balancing both global and regional priorities. Manages performance systemically by considering delivery, behaviour and conduct in equal measure, setting and communicating clear role expectations and qualitative and quantitative priorities, promoting individual accountability and removing impediments to success. Ensures team members have regular and meaningful performance and career development discussions giving and listening to feedback. Holds direct reports accountable for systems, processes and control management practices which are efficient, cost-effective and in line with Bank standards and regulatory expectations. Ensures team decision-making processes are timely and place precedence on long-term considerations and client needs over the short term. Ensures each direct report has sufficient time and skills to perform the correspondent role and proactively manages and mitigates potential conflicts of interests. Proactively manages performance and business practices to ensure alignment with the Bank's goals, values and code of conduct and is clear on how to take action to ensure appropriate positive outcomes and negative consequences for individual employees. Builds capability for the future by prioritizing succession planning, continuous development of people and the mobility of high potentials within the team. Brings diverse teams together to collaborate on topics to achieve optimal ideas and recommendations. Creates an inclusive, open and speak up culture where team members are encouraged to express views and raise concerns. Acts as an escalation channel for the Group's benefit by ensuring matters are referred to the appropriate function within the Bank (i.e. HR, Compliance, AFC, Legal).

In Scope of Position based Promotions (INTERNAL only) Job Title: Product Tagging Validation Specialist Corporate Title: AVP Role Description This role in Product Tagging Validation team is responsible for validating the product name assigned to trades across all asset classes globally. The product name is used to determine model appropriateness and classify trades for various reporting processes (such as Regulatory Reporting, trader mandates, etc.). As part of Valuations Control (IPV) team this role ensures DB approved valuation models are used for pricing/risk generation for a particular product. This role interacts regularly with the Front Office (Strats and Trading), Global Model Validation Group, Pricing Analytics, Group Audit and Global Technology. In addition to tag validation, the team is also responsible for calculating FV Reserves due to Model limitation/deficiency and provide transparency on IFRS lvelling. This team also assists the Front Office with the remediation of tagging exceptions. The ultimate goal is to establish an efficient, accurate, up-front control over the tagging of trades such that error detection and subsequent remediation are not required. Therefore, there is a substantial amount of project work in addition to a business as usual process. Your key responsibilities As a product specialist you will be responsible for: Analysing products and trade booking to determine the logic required to automatically determine the product type and features. Ensure dbapproved product-model combinations used, identify exceptions and work with stakeholders towards remediation. Engage with IPV business aligned teams to provide them visibility on exceptions and calculate model limitation/deficiency reserves and/or appropriate IFRS levellings. Enhancing the BAU process by improving validation efficiency and accuracy and ultimately converting it from a monthly into a daily process. Working with developers to implement validation logic to ensure it is consistently applied and sufficiently documented. Working with Trading and Strats to remediate product tagging and definition issues to improve the Model Risk Control environment. Managing operational risk by ensuring processes are documented and staff are cross-trained. Developing your technical expertise to ensure you have the knowledge to face-off against technical experts in divisions outside of Business Finance. Producing presentations and communicating progress to Auditors and Regulators. Your skills and experience Previous experience working with banking products and understanding how theyre booked Experience in dealing with Front Office business leaders Pricing and modeling of derivative products Knowledge of front-to-back architecture of Investment Banks Programming experience in SQL, C++, Python an advantage Education/ Qualifications/Character Degree 2.1 or above (or equivalent) ACA, CIMA, CFA, Relevant Masters Degree Strong derivatives product knowledge Control focused, deadline orientated, team player with high attention to detail People Management The behaviours provided below should be adopted by all Deutsche Bank employees in relation to their development and management of others. Supports the development of an environment where people management and development is the number one priority. Coaches direct reports and others in the organisation, as appropriate Actively supports the business strategy, plans and values, contributing to the achievement of a high performance culture Takes ownership for own career management, seeking opportunities for continuous development of personal capability and improved performance contribution Acts as a role model for new employees, providing help and support to facilitate early integration and assimilation of their new environment Supports tough people decisions to ensure people performance is aligned with organisation imperatives and needs. Addresses individual performance issues, where necessary, to drive for high performance

We are looking for a skilled professional with 8 to 14 years of experience to join our team as a Manager - Analytics in Hyderabad. The ideal candidate will have a strong background in analytics and data management, with excellent problem-solving skills. Roles and Responsibility Develop and implement advanced analytics models to drive business growth and improvement. Collaborate with cross-functional teams to identify and prioritize business needs. Design and maintain large-scale data systems to support business intelligence and decision-making. Analyze complex data sets to extract insights and trends that inform business strategy. Develop and present reports and dashboards to senior management and stakeholders. Stay up-to-date with industry trends and emerging technologies in analytics and data management. Job Requirements Strong understanding of analytics principles and techniques, including statistical modeling and machine learning. Experience with large-scale data systems, including data warehousing and ETL processes. Excellent problem-solving skills, with the ability to analyze complex data sets and extract meaningful insights. Strong communication and presentation skills, with the ability to effectively communicate technical information to non-technical stakeholders. Ability to work collaboratively in a fast-paced environment, with multiple priorities and deadlines. Strong attention to detail, with a focus on delivering high-quality results and meeting tight deadlines.

We are looking for a skilled professional with 8 to 14 years of experience to join our team as a Manager - Analytics in Hyderabad. The ideal candidate will have a strong background in analytics and data management, with excellent problem-solving skills. Roles and Responsibility Develop and implement advanced analytics models to drive business growth and improvement. Collaborate with cross-functional teams to identify and prioritize business needs. Design and maintain large-scale data systems to support business intelligence and decision-making. Analyze complex data sets to extract insights and trends that inform business strategy. Develop and present reports and dashboards to senior management and stakeholders. Stay up-to-date with industry trends and emerging technologies in analytics and data management. Job Requirements Strong understanding of analytics principles and techniques, including statistical modeling and machine learning. Experience with large-scale data systems, including data warehousing and ETL processes. Excellent problem-solving skills, with the ability to analyze complex data sets and extract meaningful insights. Strong communication and presentation skills, with the ability to effectively communicate technical information to non-technical stakeholders. Ability to work collaboratively in a fast-paced environment, with multiple priorities and deadlines. Strong attention to detail, with a focus on delivering high-quality results and meeting tight deadlines.

Job Title: Statistical Expert Location: Tripura Organization: KPMG India Service Line- Government & Public Sector (GPS) Sub-Service Line - Industrial Infrastructure Development Advisory (IIDA ) Work Arrangement - on-site (No Work from Home) >>About KPMG India KPMG in India, established in 1993, is a leading professional services firm offering audit, tax, and advisory services. With a presence in 14 cities including Vijayawada, KPMG India combines a multi-disciplinary approach with deep industry knowledge to help clients navigate complex challenges and seize opportunities. The firm is known for its commitment to quality, integrity, and innovation, delivering value-driven solutions across sectors including infrastructure, government, and public services. >>About KPMG India: G&PS IIDA The Industrial and Infrastructure Development Advisory (IIDA) practice at KPMG in India plays a pivotal role in driving Indias economic growth by supporting greenfield and brownfield infrastructure, industrial expansion, and MSME development. Through strategic guidance and execution support, IIDA bridges the gap between government vision and implementation, delivering impactful engagements across infrastructure, tourism, and industrial sectors. Leveraging multidisciplinary expertise and global best practices, IIDA partners with central and state governments, PSUs, and multilateral institutions to foster inclusive, competitive, and sustainable development. >>Role Summary The Statistical Expert will lead the design, execution, and analysis of key surveys and statistical reports in alignment with NSS/MoSPI guidelines. With a strong foundation in Statistics or Economics and at least 5 years of relevant experience, the expert will contribute to planning, reporting, and system development. Key responsibilities include preparing functional requirements for IT systems, analyzing rural local body accounts, and working on indices such as CPI, WPI, and Time Use Surveys. >>Key Responsibilities: The Statistical Expert will be responsible for the following deliverables and tasks: A. Survey Planning & Report Generation Design and implement key surveys in alignment with national statistical standards. Prepare analytical reports and presentations based on survey findings. B. IT System Coordination Collaborate with IT experts to define Functional Requirements for statistical systems and tools. C. Specialized Statistical Tasks Compilation and analysis of Local Body Accounts – Rural Development of Input-Output Transaction Tables Execution and analysis of Time Use Surveys Calculation and reporting of Consumer Price Index (CPI) Calculation and reporting of Wholesale Price Index (WPI) >>Educational Qualifications: Post-Graduation in Statistics or Economics from a recognized institution. >>Experience: Minimum 5 years of relevant experience in: Survey planning and execution Report writing and presentation Working with NSS/MoSPI guidelines and processes >>Skills & Competencies: Strong analytical and statistical skills Proficiency in data visualization and presentation tools Familiarity with government statistical systems and standards Excellent communication and documentation abilities >>Preferred Exposure: Experience working with NSSO , MoSPI , or similar government/statistical bodies. Hands-on experience in survey design, data collection, and statistical modeling. KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability, or other legally protected status. As an equal opportunity employer, KPMG is committed to fostering a culture where everyone feels welcomed and is treated fairly. If you have any reasonable accessibility or accommodation requirement that will make you more comfortable during the assessment and recruitment process, please let us know and our Talent Acquisition colleague will connect with you.

Overview The AI Engineering team at MSCI is seeking a Senior Associate to help build and scale our internal platform for deploying intelligent agents. This platform enables developers and non-technical teams to quickly build, test, and deploy agents that interact with internal APIs and data while respecting entitlements and data boundaries. You will work in close collaboration with engineers across cloud infrastructure, ML ops, and security to ensure the agent platform is robust, flexible, and easy to use. This role requires a passion for platform usability, developer experience, and pragmatic engineering in cross-cloud (Azure + GCP) environments. Responsibilities Implement and improve internal tooling and runtimes for deploying agent-based applications across MSCI teams. Integrate entitlement and data-privacy policies into AI workflows using internal security and identity layers. Develop reusable libraries and interfaces for agents to interact with MSCI services via MCP and additional integrations . Collaborate with UX and internal client teams to build low-friction, high-compliance agent deployment pathways. Contribute to observability, sandboxing, and monitoring capabilities for agent executions and workflows. Qualifications Experience building testing, validation, or observability systems in ML or production software environments. Working knowledge of common agent architectures, LLM prompting strategies, and feedback mechanisms. Comfort working with structured logging, tracing, and evaluation frameworks across GCP or Azure environments. Familiarity with common agentic development platforms like OpenAI agents sdk , google’s adk , langchain , etc Strong analytical mindset with a focus on automation and reproducibility of complex behaviour traces. Demonstrated ability to work across disciplines (engineering, product, risk) to define validation metrics and processes. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Role Description Overview: Business Division Deutsche Banks Corporate Bank (CB) a market leader incash managemnet, trade finance & lending, securities services and Trust & Agency Services. Focusing on the treasurers and finance departments ofcprporate and commercial clients and financial institutionsacross the globe, our universal expertise and global network allows us to offer truly integrated and effective solutions. Overview: Business: Trust and Agency Service (TAS) With offices in New York, California, London, Frankfurt, Milan, Lisbon, Dublin, Hong Kong, Singapore and Tokyo, the Trust and Agency Services team at Deutsche Bank has long been recognized as a leader in the provision of administrative and fiduciary services to the global debt and equities markets. It supports structures from the simplest to the most complex, covering Asset Backed Securities, CLOs and Managed accounts, Corporate Debt, Escrows, Project Finance, Loan Agency, and Depositary Receipts. Overview: Team The Trust & Agency Services (TAS) Corporate Trust Structured Finance Services business provides Trustee, Calculation Agent, Paying Agent, Custodian, and Tax Agent Services globally for all Structured Finance transactions (RMBS, ABS, CMBS, and CDO/CLOs). The Global Analytics Delivery (GAD) Group at DIPL is responsible for modelling and reporting (payment processing and tax calculations) of MBS, ABS and CDO Deals/issuances placed in the US, EMEA & Asian Capital Markets. The Asset Analytics team, which is a subgroup of GAD Group, provides analytics support to the Client Services Group in generating asset Compliance Reports relating to the CDO transactions for onward submission to the Collateral Manager/ Investors as required under the Governing Documents. The Reports need to be generated monthly and contain information about the health of the underlying collateral through reporting on compliance test results vis--vis their triggers. The successful candidate will be required to cover European working hours supporting the EMEA/Americas business. Corporate title will depend on the relative experience of candidate. Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Flexible working arrangements Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Read and interpret governing legal and issuer documents namely Prospectuses/Offering Circulars, Bond Indentures and Pooling and Servicing Agreements, Hedging Agreements, etc. Model various collateral compliance tests in SOLVAS Platform Model Crystal report based on the Document requirements Analyse gaps between the Document requirements and the system functionality, arrive at and implement a workable workaround solution in case of a gap Use SQL for issue analysis, creation of customized calculators and adhoc requirements Perform Self Review of the Compliance Model and Reports to ensure quality Understand and analyse Client issues on existing Models and offer effective solutions Provide active support for testing of new functionalities and perform regression testing in case of system releases Support ad hoc/ special projects for process improvement and implement technology initiatives Coordinate and liaison with on-site Team in Santa Ana, California and London Your skills and experience Bachelor of Science/Engineering or qualified CA/CFA with a high GPA and a minimum of 2 years of professional experience Good Knowledge of Relational Databases/SQL (able to understand and write complex queries) Knowledge of wide range of financial products Able to learn new concepts quickly and independently with strong motivation for developing new skills and understanding financial product. Able to demonstrate a logical approach to problem solving Highly numerate with excellent attention to detail is essential Possesses positive attitude and strong commitment to delivering high quality work Able to handle multiple and often competing projects and work under tight deadlines and pressure. Must have a Customer/ Client service focus Innovative and proactive Must be organized, focused, and possess strong communication skills Demonstrated ability to work and think independently, while supporting team goals/objectives Self-starter, responsible and highly committed, strong analytical and logical reasoning (handy for interpretation of logical statements embedded in legal documents) Should be ready to work in UK hours. Additionally, based on business requirements, the incumbent should be willing to work extended hours Experience in legal document interpretation (Preferred) Knowledge of Crystal Programming (Preferred)

Bachelor's or Masters degree in Computer Science, Statistics, Mathematics, or related field. 6–9 years of relevant experience in data science, machine learning, or statistical modeling. Strong programming skills in Python or R. Advanced SQL skills for data extraction and manipulation. Experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch. Familiarity with data visualization tools like Power BI, Tableau, or matplotlib/seaborn. Solid understanding of statistics, hypothesis testing, and experimental design. Experience working with cloud platforms (AWS/GCP/Azure) is a plus.

The Data Scientist - Pricing Strategy plays a key role in driving pricing innovation through advanced analytics and statistical modeling. This role blends pricing strategy with data science capabilities to identify margin improvement opportunities.

Role & responsibilities Key Responsibilities: Predictive Modeling: Create and deploy sophisticated predictive models to improve underwriting precision, risk evaluation, and pricing strategies. Utilize machine learning algorithms to enhance claims forecasting, detect fraudulent activities, lead generation etc. Assess and modify existing models based on the business requirements and industry standards. Data Analysis: Examine extensive datasets on policyholders, claims and market trends to uncover patterns and insights. Offer actionable recommendations to boost business performance and operational efficiency. Algorithm Development: Develop, construct, and refine algorithms for risk modeling, customer segmentation, and loss forecasting. Ensure that the models are both robust and scalable. Fraud Detection: Create and enhance models to identify fraudulent activities and minimize fraudulent claims. Apply techniques for anomaly detection and pattern recognition. Customer Insights: Build and support models to analyze customer behavior, preferences, and lifetime value. Formulate strategies to improve customer retention and drive acquisition. Project Leadership: Spearhead data science projects from initial conceptualization to final implementation. Work closely with insurance analysts, actuaries, IT teams, and business stakeholders to ensure successful project execution and delivery. Data Visualization: Create interactive dashboards and reports to clearly convey findings to both technical and non-technical stakeholders. Present insights and recommendations to senior management effectively. Research & Development: Keep up to date with industry trends, emerging technologies, and best practices in data science. Investigate and implement cutting-edge techniques to ensure a competitive advantage. Compliance: Ensure that all data science practices are in compliance with regulatory requirements and data privacy standards specific to the insurance industry. Performance tracking: Collaborate with business stakeholders to define, evaluate, and track key business outcomes and KPIs related to the data science project deliverables. Preferred candidate profile Tools & Technologies: Experience with data visualization tools (e.g., Qliksense, Tableau, Power BI) and data processing platforms (e.g., Apache Airflow). Proficiency in programming languages such as Python, Pyspark, R, or Scala. Experience with machine learning frameworks/platforms (e.g., Vertex AI, TensorFlow, PyTorch, scikit-learn) and statistical analysis. Familiarity with big data technologies (e.g., Hadoop, Spark) and databases (e.g., SQL, NoSQL). Soft Skills: Exceptional analytical and problem-solving skills. Excellent communication abilities with the capacity to translate complex technical information into business insights. Experience: Individual should have 3+ years of experience in data science, with a focus on the insurance or financial services industry. Technical Skills: Must have experience with Google cloud computing platforms and their data services.

The Workforce Management and Analytics AVP has extensive hands-on experience of using HR databases and systems to design and build workforce-related reporting, analytics (descriptive and predictive), and forecasting (employee life-cycle changes, headcount, organizational structures, diversity, learning, performance management etc.) Your key responsibilities Support workforce planning and forecasting for FTE and compensation costs to ensure a systematic and transparent link between FTE, FTE movements and compensation costs. Also collaborates with subject matter experts across the HR functional areas, Finance and COOs teams to promote use of data, and to improve overall strategic planning & forecasting cycle and operational performance and insight. Provides MI and analytics support to the HR function in the areas of people metrics, reporting, advanced & predictive analytics, and responsible for successful delivery globally as per agreed KPIs Utilizes technology and analytical tools (R, Python recommended) to develop and analyze enterprise-wide people and other cross-functional data as needed, and communicates findings to senior management via formal presentations, standard management reporting artifacts on periodic basis. Serves as the domain expert for human capital analytics, and understands change and attunes to changes in the environment and business, and responds quickly and flexibly by taking appropriate measures to promote and advance analytics agenda in HR. Serves as an active participant on cross-functional project teams and provide guidance and training to teams in asking appropriate questions, interpreting data, and translating into insights and action. Your skills and experience Experience / Exposure Experience in an analytics environment (including MI and reporting), preferably within HR. Experience in financial planning regarding workforce costs (fixed pay, variable pay, benefits). Ability to communicate complex statistical concepts and output to non-experts effectively in both written and verbal. Proficient in developing, owning and optimizing Statistical Models, Forecasting Plan & HR reports (e.g. HR Scorecard, HR Functional Dashboard, etc.) to drive meaningful business results. Experience in leading the interpretation of HR data in order to identify significant differences, relationships, and trends in data, as well as factors that could affect the results, and report results of statistical analyses in the form of graphs, charts, and tables. Experience in developing and embedding high quality analysis and forecasting techniques into all areas of workforce reporting. Support HR WFM&A function to assist relevant teams in the management and auditing of data and development of reporting solutions in support of key HR processes. Continually drive change and process improvement, including the testing and implementation of new HR databases and tools, providing feedback to system and process owners. Education / Certification/ Skills Graduates / Post Graduates with at least 6 years of relevant work experience and overall 8+ years Advanced Statistical & Analytical experience in interpretation & reporting of huge data sets Advanced database and reporting (e.g., PeopleSoft, Workday, business intelligence tools, open source tools, and HR functional systems) Exceptional analytical skills, mastery of business intelligence or related disciplines Ability to work autonomously and lead large scale projects in fast paced matrix organizations Excellent executive presentation skills, ability to distill and present actionable information from complex analysis Strong and recent experience in statistical analysis software (e.g., SAS, R, Python, SPSS, Excel) Demonstrable partnership and influencing skills

Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policies The Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. Your key responsibilities The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders including Front Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers. Your skills and experience Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in a high level language primarily Python. Excellent communication skills both written and oral. Education/Qualifications Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application.

Key Responsibilities : Develop predictive models using latest machine learning / statistical methods across the domains of Risk, customer & sales Define and establish robust model evaluation & governance framework Engage with the Risk & Model Committees Responsible for the end-to-end development and implementation of all scorecards/risk monitoring framework across businesses Stakeholder relationship management & control aspects of analytical project delivery Key Competencies / skill set : Should be a subject matter expert in the domain of credit risk Strong statistical knowledge and demonstrated hands-on experience in model development & management Working knowledge of R, Python or SAS is a must. Should be able to anchor stakeholder engagements Very strong presentation & communication skills Desired Candidate Profile Similar Profiles from Banks Resilience & ability to work in a dynamic environment Technical competence will be an important selection criterion Demonstrated hands-on experience in loss forecasting, scorecards & advanced analytics use cases Qualifications Post-graduation in Statistics or Economics or Quantitative Economics or Computer Science OR MBA (Finance / Quantitative Methods) Predictive model development Logistic/Linear Regression, Clustering, D-tree, Feature Selection, PCA SVM, Random Forest, Gradient Boost Experience : Candidate is required to have minimum 2-10 years of relevant work experience in statistical modeling in a Bank

Description: Data Engineer Requirements: Extensive hands-on experience in developing and deploying machine learning and statistical models in production environments Strong experience in end-to-end ML pipeline implementation including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring Proficient in working with large-scale structured and unstructured data across multiple sources for exploratory and predictive analytics Experience with big data tools and platforms (On-Prem or Cloud) for scalable model training and data processing (e.g., Spark, Databricks, Hadoop) Deep understanding of supervised, unsupervised, and reinforcement learning algorithms with practical application in real-world use cases Strong expertise in programming languages such as Python and R for data analysis, visualization, and model development Good understanding of MLOps concepts including model versioning, model governance, and continuous integration/deployment of ML models Experience using cloud platforms (AWS, Azure, GCP) and associated ML tools and services such as SageMaker, Azure ML, Vertex AI Solid knowledge of statistical testing, A/B testing, hypothesis testing, and experimental design Familiar with data governance, data privacy, and compliance aspects of handling personal or sensitive data Experience with tools like Jupyter, MLFlow, TensorBoard, or equivalent for model tracking and experimentation Hands-on experience with data visualization tools such as Power BI, Tableau, or libraries like Matplotlib, Seaborn, Plotly Strong experience with SQL and NoSQL databases for data extraction, manipulation, and analysis Proven ability to translate complex business problems into data science solutions and present insights to non-technical stakeholders Experience in collaborating with cross-functional teams including Data Engineers, Product Owners, and Business Analysts Familiar with version control and source code management tools like Git or TFS Good exposure to Agile/Scrum methodologies and sprint-based delivery models Demonstrated mentorship and technical leadership in guiding junior data scientists or analysts Strong analytical, logical thinking, and quantitative skills Takes ownership of outcomes and delivers with accountability Effective communication skills with a keen ability to explain technical concepts to business users Quick learner, self-driven, and passionate about data and innovation Job Responsibilities: ML model development, data preprocessing, feature engineering, ML pipelines, big data tools (Spark, Databricks), supervised/unsupervised learning, Python/R, MLOps, cloud platforms (AWS SageMaker, Azure ML), statistical testing, A/B testing, data governance, data privacy, Jupyter, MLFlow, data visualization (Power BI, Tableau), SQL/NoSQL, problem-solving, cross-functional collaboration, Git/TFS, Agile/Scrum, mentorship, communication, ownership, quick learner, data-driven innovation What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Description: We are looking for a highly skilled Data Scientist to join our AI Center of Excellence (CoE) in Pune. This role involves working on complex financial datasets, building machine learning models, and delivering data-driven insights that support business decisions and product innovation. The ideal candidate should be hands-on, analytical, and passionate about solving real-world problems through data. Requirements: Required Skills & Experience: 4–6 years of proven experience in Data Science, preferably in the finance or FinTech industry. Strong coding skills in Python, R, and SQL. Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. Solid foundation in statistical modeling, data analysis, and deep learning. Familiarity with cloud platforms like AWS, Azure, or GCP. Proficiency in data visualization tools such as Power BI, Tableau, or Matplotlib. Excellent communication skills to effectively present data-driven insights. Preferred Qualifications: Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Exposure to NLP, generative AI, or large language models. Experience with MLOps practices for deploying and monitoring models. This position is based in Pune and requires immediate joining. Hybrid or in-office availability is expected based on project needs. Job Responsibilities: Key Responsibilities: Analyze large-scale financial datasets to extract meaningful insights and trends. Develop and deploy machine learning models for predictive analytics and decision support. Translate business challenges into data science problems and propose appropriate solutions. Collaborate with product and business teams to build and implement data-driven features and tools. Communicate analytical findings clearly through visualizations and presentations for non-technical stakeholders. Continuously explore and adopt emerging tools, techniques, and best practices in AI/ML. What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Position Overview : We are seeking a skilled Statistical Programmer to join our clinical research team. The successful candidate will be responsible for programming, validating, and delivering statistical outputs for clinical trials while ensuring compliance with regulatory standards and industry best practices. Key Responsibilities : Programming & Data Management : - Develop and maintain SAS programs for clinical trial data processing, analysis, and reporting. - Map clinical trial data to CDISC standards (SDTM and ADaM) ensuring compliance with regulatory requirements. - Create and maintain analysis datasets following CDISC implementation guidelines. - Perform data validation and quality control checks to ensure data integrity. Documentation & Compliance : - Generate and maintain CDISC documentation including define.xml files, reviewer's guides, and annotated case report forms (aCRF). - Conduct Pinnacle21 validation checks and resolve any compliance issues. - Ensure all deliverables meet regulatory submission standards (FDA, EMA, etc.). - Maintain comprehensive programming documentation and version control. Statistical Analysis & Reporting : - Produce Tables, Listings, and Figures (TLFs) based on Statistical Analysis Plans (SAP). - Collaborate with biostatisticians to implement complex statistical analyses. - Support clinical study reports and regulatory submissions. - Perform ad-hoc analyses as requested by clinical teams. Cross-functional Collaboration : - Work closely with clinical data management, biostatistics, and regulatory affairs teams. - Participate in project meetings and provide technical expertise. - Support timeline planning and deliverable tracking. - Mentor junior programmers and provide technical guidance. Required Qualifications : Technical Skills : - Minimum 3+ years of experience as a statistical programmer in clinical research or pharmaceutical industry. - Advanced SAS programming skills with expertise in Base SAS, SAS/STAT, SAS/GRAPH, and SAS Macro language. - Strong understanding of clinical trials including study designs, endpoints, and regulatory requirements. - Proven experience with CDISC standards (SDTM and ADaM) and data mapping techniques. - Experience with CDISC documentation including define.xml, reviewer's guides, and aCRF preparation. - Hands-on experience with Pinnacle21 validation software and resolving compliance issues. - Demonstrated ability to produce TLFs based on Statistical Analysis Plans with attention to detail. Soft Skills : - Fluent in English with excellent written and verbal communication skills. - Strong problem-solving mentality with ability to troubleshoot complex technical issues. - Detail-oriented approach with commitment to accuracy and quality. - Excellent communication and interpersonal skills for effective team collaboration. - Fast learner with ability to adapt to new technologies and methodologies. - Strong organizational skills and ability to manage multiple priorities. Preferred Qualifications (Nice to Have) : - Real-World Data (RWD) experience including analysis of electronic health records, claims data, or registries. - Pharmacokinetic (PK) calculations experience and understanding of PK/PD modeling. - R programming skills for statistical analysis and data visualization. - Experience with other statistical software packages (Python, SPSS, etc.). - Knowledge of therapeutic areas and regulatory guidelines. - Experience with cloud-based platforms and version control systems. Education Requirements : - Bachelor's degree in Statistics, Mathematics, Computer Science, Life Sciences, or related field. - Advanced degree preferred but not required with relevant experience. This position offers an excellent opportunity for a skilled statistical programmer to contribute to meaningful clinical research while developing expertise in regulatory compliance and industry best practices.

Data science on GCP ,Generative AI Fundamentals, Machine Learning Solution Design Languages - R/Python Modeling - Statistical Analysis, ANOVA, Time series Analysis, Regression Analysis Libraries - scikit learn, matplotlib, numpy scipy