1143 Statistical Modeling Jobs - Page 21

We are Allvue Systems, the leading provider of software solutions for the Private Capital and Credit markets. Whether a client wants an end-to-end technology suite, or independently focused modules, Allvue helps eliminate the boundaries between systems, information, and people. We re looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals. Working at Allvue Systems means working with pioneers in the fintech industry. Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more. With our common goals of growth and innovation, whether you re collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious. We want all of our team members to be open, accessible, curious and always learning. As a team, we take initiative, own outcomes, and have passion for what we do. With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results. Come be a part of the team that s revolutionizing the alternative investment industry. Define your own future with Allvue Systems! Strategic Leadership Define and execute the data science roadmap aligned with Allvue Systems business objectives. Partner with executive leadership to identify opportunities for leveraging data science to drive innovation and competitive advantage across the company. Foster a culture of data-driven decision-making across the organization. Effectively communicate complex data insights and recommendations to both technical and non-technical audiences, including senior leadership. Team Management Lead, mentor, and grow a high-performing team of data scientists & Analysts Promote collaboration, innovation, and professional development within the team. Manage the data science teams budget effectively, prioritizing investments in key areas. Cross-Functional Collaboration Work closely with product, Engineering, and other teams to identify data science opportunities and deliver impactful solutions. Collaborate with machine learning and core engineering teams to integrate data science models into production systems. Business Impact Enable the team to develop and deploy predictive models, machine learning algorithms, and AI-driven solutions to optimize content recommendations, personalization, and the different revenue lines. Leverage natural language processing (NLP) and LLMs (Large Language Models) to analyze and derive insights from multimodal content to power recommendations and personalization as well as smarter financial decisions. Build algorithms to measure and improve content performance, audience engagement, and subscription growth. Data Governance & Innovation Collaborate with machine learning engineering, data engineering and IT teams to ensure the integrity, accuracy, and security of data used for analysis and modelling. Champion a culture of experimentation and A/B testing, driving the development of new data products and features. Stay at the forefront of data science trends and technologies, exploring new tools and methodologies to enhance Allvue Systems capabilities. 17+ years of overall experience, with 8+ years in leading large-scale data science projects and teams. Proven track record of delivering impactful AI/ML solutions in a Finance domain. Excellent communication, presentation, and interpersonal skills. Exceptional ability in simplifying complex concepts and effectively influencing senior executive stakeholders. Expertise in aligning technology initiatives with business goals, with a hands-on approach to execution. Deep understanding of ML/AI and statistical modelling. Hands-on expertise in predictive modelling, recommendation systems, (Gen) AI, and NLP. Experience with cloud computing platforms (AWS, GCP, or Azure) and big data technologies (e.g. Spark). Fluent in Python, SQL, and ML frameworks like TensorFlow, PyTorch, or scikit-learn.

We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:Write clean, efficient code for data processing and transformation.Debug and resolve technical issues.Evaluate and review code to ensure quality and compliance Required Qualifications:1+ year of R development experience.Should have expertise in R programming, data analysis, and statistical modeling.Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms.

We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:Write clean, efficient code for data processing and transformation.Debug and resolve technical issues.Evaluate and review code to ensure quality and compliance Required Qualifications:1+ year of R development experience.Should have expertise in R programming, data analysis, and statistical modeling.Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms.

We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:Write clean, efficient code for data processing and transformation.Debug and resolve technical issues.Evaluate and review code to ensure quality and compliance Required Qualifications:1+ year of R development experience.Should have expertise in R programming, data analysis, and statistical modeling.Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms.

We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:Write clean, efficient code for data processing and transformation.Debug and resolve technical issues.Evaluate and review code to ensure quality and compliance Required Qualifications:1+ year of R development experience.Should have expertise in R programming, data analysis, and statistical modeling.Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms.

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Title: Lead Data Scientist Mode of work : Remote Responsibilities Design and implement data-driven solutions to optimize customer experience metrics, reduce churn, and enhance customer satisfaction using statistical analysis, machine learning, and predictive modeling. Collaborate with CX teams, contact center operations, customer success, and product teams to gather requirements, understand customer journey objectives, and translate them into actionable analytical solutions. Perform exploratory data analysis (EDA) on customer interaction data, contact center metrics, survey responses, and behavioral data to identify pain points and opportunities for CX improvement. Build, validate, and deploy machine learning models for customer sentiment analysis, churn prediction, next-best-action recommendations, contact center forecasting, and customer lifetime value optimization. Develop CX dashboards and reports using BI tools to track key metrics like NPS, CSAT, FCR, AHT, and customer journey analytics to support strategic decision-making. Optimize model performance for real-time customer experience applications through hyperparameter tuning, A/B testing, and continuous performance monitoring. Contribute to customer data architecture and pipeline development to ensure scalable and reliable customer data flows across touchpoints (voice, chat, email, social, web). Document CX analytics methodologies, customer segmentation strategies, and model outcomes to ensure reproducibility and enable knowledge sharing across CX transformation initiatives. Mentor junior data scientists and analysts on CX-specific use cases, and participate in code reviews to maintain high-quality standards for customer-facing analytics. Skill Requirements Proven experience (at least 6+ years) in data science, analytics, and statistical modeling with specific focus on customer experience, contact center analytics, or customer behavior analysis, including strong understanding of CX metrics, customer journey mapping, and voice-of-customer analytics. Proficiency in Python and/or R for customer data analysis, sentiment analysis, and CX modeling applications. Experience with data analytics libraries such as pandas, NumPy, scikit-learn, and visualization tools like matplotlib, seaborn, or Plotly for customer insights and CX reporting. Experience with machine learning frameworks such as Scikit-learn, XGBoost, LightGBM, and familiarity with deep learning libraries (TensorFlow, PyTorch) for NLP applications in customer feedback analysis and chatbot optimization. Solid understanding of SQL and experience working with customer databases, contact center data warehouses, and CRM systems (e.g., PostgreSQL, MySQL, SQL Server, Salesforce, ServiceNow). Familiarity with data engineering tools and frameworks (e.g., Apache Airflow, dbt, Spark, or similar) for building and orchestrating customer data ETL pipelines and real-time streaming analytics. (Good to have) Knowledge of data governance, data quality frameworks, and data lake architectures. (good to have) Exposure to business intelligence (BI) tools such as Power BI, Tableau, or Looker for CX dashboarding, customer journey visualization, and executive reporting on customer experience metrics. Working knowledge of version control systems (e.g., Git) and collaborative development workflows for customer analytics projects. Strong problem-solving skills with customer-centric analytical thinking, and the ability to work independently and as part of cross-functional CX transformation teams. Excellent communication and presentation skills, with the ability to explain complex customer analytics concepts to non-technical stakeholders including CX executives, contact center managers, and customer success teams. Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Exp with Spark, Flask, SQL, Python, Cloud platform, Machine Learning, Deep Learning & Engineering aspects of ML model deployment, data analysis, mathematics/probability, & statistical analysis. Mail us- info@a1selectors.com

Project Research Scientist (Non Medical )-Statistician -ICMR -ADAM Project SJRI | St. Johns Research Institute Project Research Scientist (Non Medical )-Statistician -ICMR -ADAM Project Non Division User Ms. for individuals with Type 2 Diabetes Mellitus (T2DM). The study will assess how carbohydrate-restricted diets impact blood glucose levels and evaluate the effectiveness of an AI-driven dietary intervention in improving glycemic control. Using machine learning models, the Virtual Dietician will analyze CGM data in real-time to offer customized meal plans, ensuring optimal nutrient intake while maintaining stable glucose levels. This innovative approach bridges the gap between clinical research and real-world diabetes management, enhancing personalized care through artificial intelligence and digital health solutions. Project Research Scientist III (Non Medical)-Statistician No. of Vacancy: Preferred Qualifications: M.Sc Statistics Maximum Age Limit Experience: Over 4 years of professional experience in the industry, complemented by 3+ years of research expertise in Mathematical and Statistical modeling. Last Day for Receiving Application: Roles and Responsibilities: 1. Design Personalized Nutrition Plans - Develop data-driven, individualized meal recommendations that optimize nutritional intake, support health goals, and accommodate dietary preferences or medical conditions. 2. Model Development & Optimization - Build, train, and refine machine learning models for personalized dietary guidance and glycemic response prediction, with a focus on diabetes management and metabolic health. 3. Enhance AI-Powered Virtual Dietitian - Fine-tune and expand the capabilities of the AI-driven Virtual Dietitian tool to generate adaptive, nutrient-balanced meal plans aligned with user inputs, behavioral patterns, and health outcomes. 4. Collaborate with Healthcare and Research Teams Work closely with medical professionals, nutritionists, and data scientists to align AI applications with clinical and research needs.

IRB Scorecard Analyst (Python) Location: Bangalore (Hybrid) Exp: 3-8 yrs Join: Immediate to 30 days What Youll Do: Develop and maintain Basel IRB scorecards (PD/LGD/EAD) end-to-end using Python Perform feature engineering, binning, weight-of-evidence transformation & model calibration Back-test and monitor scorecard performance; investigate PSI/KS drift & data anomalies Extract and profile data via SQL; prepare regulator-ready documentation Must Have: 3-8 yrs in IRB scorecard development or credit-risk analytics at a bank/consultancy Expert in Python for statistical modeling (pandas, scikit-learn, statsmodels) Strong SQL skills for data extraction & profiling Solid understanding of Basel II/III IRB guidelines and risk-weight parameters Nice to Have: Hands-on experience with SAS or R for supplementary analyses Familiarity with model-risk management frameworks (SR 11-7/RBI MRM) Experience automating workflows via Python scripting or CI/CD If Interested, kindly share your resume on my email ID - divya.sehgal@thethreeacross.com

Responsibilities: *Analyze large database using Python & SQL. * Design, Develop and evaluate machine learning modules. * Collaborate on project delivery within timelines. * Present findings through clear documentation. Food allowance

IRB Scorecard Analyst (Python) Location: Bangalore (Hybrid) Exp: 3-8 yrs Join: Immediate to 30 days What Youll Do: Develop and maintain Basel IRB scorecards (PD/LGD/EAD) end-to-end using Python Perform feature engineering, binning, weight-of-evidence transformation & model calibration Back-test and monitor scorecard performance; investigate PSI/KS drift & data anomalies Extract and profile data via SQL; prepare regulator-ready documentation Must Have: 3–8 yrs in IRB scorecard development or credit-risk analytics at a bank/consultancy Expert in Python for statistical modeling (pandas, scikit-learn, statsmodels) Strong SQL skills for data extraction & profiling Solid understanding of Basel II/III IRB guidelines and risk-weight parameters Nice to Have: Hands-on experience with SAS or R for supplementary analyses Familiarity with model-risk management frameworks (SR 11-7/RBI MRM) Experience automating workflows via Python scripting or CI/CD If Interested, kindly share your resume on my email ID - simran.salhotra@portraypeople.com

Job Title: Senior Executive Business Analyst Location: Noida Experience: Minimum 6 Years Shift Timing: 8:00 AM 5:00 PM Key Responsibilities: Develop Reporting Suites: Build and maintain standardized and customized reporting frameworks aligned with business goals and client needs. Standardize Reporting Formats: Define consistent metrics, data sources, and visualization styles across brands. Customize Reports: Collaborate with stakeholders to deliver tailored reports that support decision-making. Establish Reporting Infrastructure: Implement tools and platforms for self-service reporting and data access. Ensure Data Accuracy: Develop validation and QA processes to maintain data integrity. Cross-functional Collaboration: Work with marketing, sales, analytics, and IT to streamline data inputs and reporting workflows. User Support & Training: Provide training and ongoing support to users for effective utilization of reporting tools. Monitor & Optimize Performance: Track usage and feedback to enhance report quality and relevance. Upgrade Reporting Tools: Identify and implement improvements in reporting platforms and technologies. Client Reporting Standards: Create standardized, visually impactful reports capturing key metrics across all brands. Drive Innovation: Promote new ideas, explore advanced visualization methods, and adopt emerging technologies. Data Analysis & Insights: Translate data into actionable insights to support strategic business decisions. Ensure Compliance: Align reporting practices with ISO standards and health, safety, and environmental guidelines. Qualifications: Bachelors degree in Business Administration, Data Analytics, Computer Science, or a related field. Minimum 6 years of experience in constructing and managing reporting suites, preferably in a multi-brand or agency environment. Proficiency in reporting and data visualization tools such as Tableau, Power BI, or equivalent. Strong understanding of data structures, data governance, and data quality management. Excellent analytical, problem-solving, and communication skills. Ability to manage multiple stakeholders and deliver accurate, timely reports in a fast-paced environment. Interested candidates share their updated resumes at pooja.thapa@manpowergroup.com.

Data Science (Python + Statistics.) Key Responsibilities Designing and Executing Rigorous Statistical Tests: This responsibility entails the foundational work of ensuring that any observed relationship between variables is not merely due to chance. The specialist will design experiments and tests to establish the likelihood that an outcome is genuinely caused by the factors under study, rather than random variability. Proactive involvement in experimental design is essential, moving beyond mere post-hoc analysis. Performing Hypothesis Testing and Statistical Inference: The specialist will be responsible for defining and testing null and alternative hypotheses to determine statistical significance. Applying Advanced Statistical Methods for Data and Model Analysis: This encompasses a broad range of techniques vital for deeply analyzing datasets and model outputs. These include probability theory, which quantifies uncertainty and aids in prediction. Various sampling methods (e.g., random, stratified, cluster) are crucial for selecting representative subsets of data, allowing for reliable inferences about larger populations. Evaluating and Recommending Appropriate ML Algorithms: The specialist will assess the suitability of various ML algorithms, including supervised learning tasks like classification, regression, and forecasting, as well as unsupervised learning methods such as clustering and dimensionality reduction, and reinforcement learning. Conducting In-depth Analysis of Algorithmic Soundness and Applicability: This involves scrutinizing the theoretical underpinnings of selected algorithms, their assumptions, and their appropriateness for the specific problem and dataset. Assessing Model Performance Metrics: The specialist will evaluate models based on a variety of metrics relevant to the task. For classification tasks, this includes accuracy, precision, recall, and F1- score; for regression, metrics such as Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) are used. Required Qualifications Masters in a quantitative field such as Computer Science, Data Science, Engineering Statistics, Mathematics, or Machine Learning. Experience Minimum of 5+ years of progressive experience in machine learning validation, model risk management, data science, or a closely related role with a strong focus on statistical rigor and algorithmic assessment. Proven track record in successfully validating and deploying AI/ML-based solutions to solve complex business Experience with SQL for querying and managing databases. Familiarity with C++ and/or Java for performance-critical applications or integration. The ability to work across different parts of the ML stack, from data querying to model deployment and potentially low-level optimization. Machine Learning Frameworks & Tools: Experience with common ML frameworks such as TensorFlow and PyTorch. Data Analysis & Statistical Tools: Proficiency in data analysis and statistical tools, including Python/R libraries like NumPy, SciPy, Pandas, Matplotlib, and Seaborn. Data Visualization Tools: Experience with data visualization software like Looker, Looker Studio to present findings effectively. Deep understanding of machine learning algorithms, their underlying principles, and performance metrics. Strong knowledge of statistical analysis, modeling techniques, and hypothesis testing. Familiarity with advanced statistical modeling techniques such as Bayesian Inference and Variational Inference, and their integration with AI models. The mention of these advanced techniques suggests a need for cutting-edge statistical knowledge that goes beyond traditional frequentist methods. This indicates a role that is expected to contribute to the advancement of validation methodologies, not just their application.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role In this role you will play a key role in We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Your Profile Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objective Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems. Develop robust evaluation frameworks to measure and improve multi-agent system performance What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Admini Boosting Productivity is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote What do you need for this opportunity Must have skills required: Start-up Experience, Python, Ml frameworks, Statistical analysis, CNNs, Machine Learning, Computer Vision, AI models Leegality is Looking for: What you'll do As an ML Engineer, you will develop solutions to interesting technical problems, explore exciting growth opportunities, and have a real impact on our product. To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. Responsibilities: Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Exposure to generative AI (LLM) based ML architectures Experienced in working with CNN. Knows how to train and fine-tune CNN-based models. Documenting machine learning processes. Requirements: 1+ years of relevant experience in Machine Learning Engineering. Advanced proficiency with Python. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Preferences: Start-up experience is good to have. Willing to join immediately, ideally. Female candidates are preferred Interview Process - Technical Round 1 - ML Fundamentals, NLP models Assessment Technical Round 2 - Discussion on the assignment submitted modify it according to the requirements Round 3 - with the Tech Lead - Tech Managerial - Past projects in-depth knowledge of ML

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Role specific skillsets: Strong business process (Sales and Retailing)and technology analysis skills - ability to understand MD&D/ similarindustry and customer requirements Take the lead on distributor onboarding activities (Interviewing the dealer, Requirement gathering, Gap analysis, coordinating with various stakeholder, UAT, Dealer Agreement Signoff, User Access Management, Documentation, Go-Live and Support) Manage & tracking customer incidents/ new requests Handholding customer resolving the issues through Phone, chat Remote Desktop, and email communication channels as per the agreed SLAs Provide the necessary training to the distributor as per the need Data analysis skills - ability to interpret data and reports for business requirements Partner with Technical Support team members on various strategic projects when needed Run monitoring reports for usage, performance, and/or availability. Manage the master data for Dealer Core Competencies: Service Orientation - Should be aware of both - the internal as well as external customers and their needs; and is committed to meeting the customers evolving, long-term needs - the focus is on SERVICE ResultOrientation - Should be able to direct efforts towards developing andimplementing realistic action plans to meet business objectives; with a senseof urgency - the focus is on achieving RESULTS Initiative - Onemust not only understand and accept the responsibilities towards his/her job;but also proactively works towards identifying challenges and its resolution -the focus is on seeking SOLUTIONS Professionalism- Shouldhave in-depth knowledge of all functions and displays not only required skill-set, but also ethics and integrity while conducting the job - the focus is on PROFESSIONALISM Cooperation- One must ensure completion of all tasks at hand and simultaneously extends support to team members and displays joint ownership towards achieving business objectives - the focus is on TEAMWORK Communication/Feedback- Should believe in providing feedback to other associates and receiving feedbacks to enhance performance, thereby meeting business objectives - the focus is on OPENCOMMUNICATION Other Benefits: Medical Insurance (self-coverage): Includes Group Mediclaim policy and Group Personal Accident Policy. Long Term Investment & Engagement Plan: This is an employee incentive plan introduced to encourage, reward, and incentivize eligible employees towards long-term engagement, to optimize their performance and enable them to partake in the growth of the Organizationand further its best interests. DESIREDCANDIDATE PROFILE: Any Bachelor s Degree 0 - 2 years of relevant experience in L1 customer support (voice and email), with a strong customer interaction experience Should understand the Retail business including supply chain fundamentals and organizational hierarchy Passion to be a part of a smart working and winning team Ability to multitask in a fast-paced environment Excellent ability to learn and articulate software-related and technical concepts Strong active listening skills and excellent written and oral communications skills (English and Hindi) Strong attention to detail when communicating with customers (verbal & written) Ability to empathize with customers and convey confidence Expertise working with Microsoft Excel and Reporting Tools Strong documentation skills Strong interpersonal and soft skills

Role & responsibilities The Assistant Manager/Deputy Manager is primarily responsible for using analytics tools to perform unstructured problem solving and in-depth analysis of programs and opportunities in the collections business. You will make recommendations to improve the business profitability or operational processes based on their analysis and design strategies to implement those recommendations. The role is also responsible to own syndication of findings with VP level leaders globally and manage implementation with support. PRINCIPAL RESPONSIBILITIES Coach new team members on technical skills and business knowledge Develop and implement analytics best practices and knowledge management practices Makes recommendations to improve business profitability or processes. Estimate opportunity size and develop business case. Manage implementation of ideas and project plans with minimal support. Present and share data with other team members and to leadership independently. Understand end-to-end business processes. Independently extract, prepare and analyze gigabytes of data to support business initiatives (e.g. profitability, performance, variance analysis etc). Develop solutions with minimal support. Develop techniques and computer algorithms for data analysis for making it meaningful and actionable. Preferred Qualifications (Education & Experience) Education: Bachelor's/Masters with strong and consistent academic record in engineering, quantitative or statistical field.. 2.5 to 7 years' experience in analytics or consulting including 2+ years in Financial Services. Expert knowledge of Azure / Python incl. Pandas, Pyspark / SQL. Demonstrated experience in unstructured problem solving and strong analytical aptitude. Advanced use of MS Office (Excel, PowerPoint). Strong Communication (Written and Verbal) Storyboarding and Presentation Skills Project Management. Ability to multitask. Need Excellent Communication skills.

JOIN US AS A LEAD SYSTEMS ANALYST About the company: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. PRIMARY FUNCTION: At Target in India, our Tax Technology team plays a crucial role in enabling efficient and accurate compliance with US Sales and Use Tax (SUT) regulations. By collaborating closely with the Tax, Product and Tech teams in the US, this team leverages innovative technologies and advanced analytics to enhance operational efficiency and support seamless tax compliance processes. As a Lead Systems Analyst, you will own the compliance data integration, transformation, and load processes, ensuring accuracy, efficiency and seamless operations. You will provide strategic oversight of tax systems, proactively identify improvement opportunities and partner closely with cross-functional teams to enhance automation and analytics capabilities. In addition to SUT, this role will explore opportunities to support income and property tax technology needs. Your leadership in evaluating processes, defining technology-driven solutions and driving execution will be key to optimizing tax operations. This role will also focus on the below areas Lead and oversee the data integration and compliance load processes, ensuring flawless execution, accuracy and efficiency while proactively driving solutions and driving continuous improvements. Drive transparency through documentation and reporting of compliance related issues, identifying trends and working with management to implement corrective actions and long-term enhancements. Act as a strategic partner between Tax, Product and Tech teams to address queries, provide analysis and resolve challenges related to compliance load process, workflows, Vertex returns, SSAS etc. Drive the configuration, testing and validation of tax system updates and integrations to ensure seamless operation and compliance. Establish and enforce data quality controls, ensuring the integrity, accuracy and completeness of tax related data through rigorous analysis, reconciliation and validation. Design and implement Alteryx workflows, leverage tools / language such as SSAS, SQL etc. to streamline tax processes and improve analytics capabilities. Apply innovative solutions including generative AI, machine learning and RPA to automate repetitive tasks and enhance accuracy in tax reporting. Continuously look for opportunities to improve, automate and enhance existing processes for efficiency. Collect and organize required data for audit requests ensuring accurate and timely submissions. Respond to requests for reporting and data from tax users to support sales, income, and property tax compliance and analytics needs. Working within Tax, your mission will be to drive value-added work and support our core retail business goals. Our tax team focuses on all aspects of tax reporting including enhancing productivity and efficiency of core compliance through process and technology, monitoring tax risk and opportunities across all tax disciplines, engaging and educating Finance and the broader organization regarding tax considerations, and prioritizing team resources to support key work streams. 8+ years of experience in tax technology or systems analysis, preferably within a large corporate tax department or consulting firm, with a focus on SUT compliance. Bachelors or Masters degree in Taxation, Finance or Information Systems or an equivalent combination of professional education and experience. Proficiency with tax technology tools and applications including Vertex O-Series, Vertex Returns, Alteryx, SQL and RPA with experience in using these tools to streamline tax compliance, automate workflows and enhance data accuracy and reporting. Experience working on ERP systems (e.g. SAP) and data visualization tools like Tableau or Power BI. Proven ability to collaborate with cross-functional teams, acting as a liaison between Tax, Tech and Product teams to resolve queries and enhance processes. Familiarity with machine learning, generative AI and statistical modeling is a plus. Prior experience of working for a retail organization is strongly preferred. Excellent communication and strong interpersonal skills, as well as the ability to work independently with limited direction and guidance A proactive mindset and keen analytical ability, attention to detail, and the ability to meet tight deadlines.

: Job Title Model Validation Analyst - Derivative Pricing LocationMumbai, India Role Description 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. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance 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. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: Job TitleCDO/CLO Modeling Analyst LocationBangalore, India Role Description OverviewBusiness 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. OverviewBusinessTrust 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. OverviewTeam 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. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance 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) How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-9 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and data visualization. Experience with analytical tools such as Excel, SQL, or programming languages like Python or R. Excellent communication and interpersonal skills, with the ability to work effectively with stakeholders at all levels. Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions. Ability to prioritize multiple tasks and projects in a fast-paced environment. Strong attention to detail, with a focus on delivering high-quality results.

Produce written reports, problem statements, methods interpretation & business implications Data Analysis & Data Science using Agile principles Analyze claims, cases, data requirements Build models of severity analysis Exp Insurance Domain or Project Required Candidate profile Exp in EDA, Azure MS DevOps Snowflake, Databricks, Python/Spark, CI/CD, Sci-Kit Learn, Git AI implementation Algorithms Agile Principles Business & Data Analysis Statistics Random Forest Case Study

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of R development experience Should have expertise in R programming, data analysis, and statistical modeling Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms Why Join Us Competitive pay (1000/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1000 per hour (if you work an average of 3 hours every day that could be as high as Rs 90K per month) once you clear our screening process Shape the future of AI with Soul AI!