532 Data Manipulation Jobs - Page 4

Data Engineer, Quantitative Finance (Gurgaon, India) Amethyst Partners Data Engineer, Quantitative Finance (Gurgaon, India) A leading quantitative-driven financial firm is looking for a Data Engineer to join their growing team. This is a highly impactful role where you will be responsible for building scalable, efficient, and reliable data pipelines that power core trading and research operations. Key Responsibilities Data Pipeline Development Design, develop, and maintain robust Python-based data ingestion pipelines for market data and internal sources. Build and manage a unified RPC-based data access library, compatible across research and trading systems. Own the lifecycle of new and existing datasets acquisition, ingestion, validation, and integration. Data Quality & Monitoring Implement automated validation checks for data consistency, completeness, and accuracy. Collaborate with researchers to troubleshoot data anomalies and establish data quality benchmarks. Vendor & Data Source Management Evaluate and onboard new data vendors (e.g., sentiment, factor models, fundamentals). Monitor usage and relevance of existing subscriptions to optimize costs and eliminate inefficiencies. Maintain a pipeline of exploratory and potential new data sources. Collaboration & Documentation Partner with quant researchers and software teams to integrate data into models and tools. Write comprehensive documentation for datasets, processes, and libraries to enable efficient onboarding and collaboration. Strategic Impact Contribute to the long-term evolution of the firm s data stack. Stay up-to-date with trends in financial data, Python tooling, and infrastructure to bring best practices into the team. Assist in developing proprietary data signals and custom indicators (e.g., sentiment scores). Key Requirements Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related technical discipline from a Tier-1 institution. 1 3 years of professional experience in data engineering, software development, or a Python-centric technical role. Strong coding skills in Python, with experience in writing reusable functions, modules, and lightweight APIs. Familiarity with libraries like pandas, numpy, and tools for time-series data manipulation. Understanding of version control (Git) and collaborative development practices. Exposure to financial market data (e.g., equities, futures, derivatives) or previous experience in fintech or trading environments.

Introduction to the Role: Are you passionate about building intelligent systems that learn, adapt, and deliver real-world value? Join our high-impact AI & Machine Learning Engineering team and be a key contributor in shaping the next generation of intelligent applications. As an AI/ML Engineer , youll have the unique opportunity to develop, deploy, and scale advanced ML and Generative AI (GenAI) solutions in production environments, leveraging cutting-edge technologies, frameworks, and cloud platforms . In this role, you will collaborate with cross-functional teams including data engineers, product managers, MLOps engineers, and architects to design and implement production-grade AI solutions across domains. If you're looking to work at the intersection of deep learning, GenAI, cloud computing, and MLOps this is the role for you. Accountabilities: Design, develop, train, and deploy production-grade ML and GenAI models across use cases including NLP, computer vision, and structured data modeling. Leverage frameworks such as TensorFlow , Keras , PyTorch , and LangChain to build scalable deep learning and LLM-based solutions. Develop and maintain end-to-end ML pipelines with reusable, modular components for data ingestion, feature engineering, model training, and deployment. Implement and manage models on cloud platforms such as AWS , GCP , or Azure using services like SageMaker , Vertex AI , or Azure ML . Apply MLOps best practices using tools like MLflow , Kubeflow , Weights & Biases , Airflow , DVC , and Prefect to ensure scalable and reliable ML delivery. Incorporate CI/CD pipelines (using Jenkins, GitHub Actions, or similar) to automate testing, packaging, and deployment of ML workloads. Containerize applications using Docker and orchestrate scalable deployments via Kubernetes . Integrate LLMs with APIs and external systems using LangChain, Vector Databases (e.g., FAISS, Pinecone), and prompt engineering best practices. Collaborate closely with data engineers to access, prepare, and transform large-scale structured and unstructured datasets for ML pipelines. Build monitoring and retraining workflows to ensure models remain performant and robust in production. Evaluate and integrate third-party GenAI APIs or foundational models where appropriate to accelerate delivery. Maintain rigorous experiment tracking, hyperparameter tuning, and model versioning. Champion industry standards and evolving practices in ML lifecycle management , cloud-native AI architectures , and responsible AI. Work across global, multi-functional teams, including architects, principal engineers, and domain experts. Essential Skills / Experience: 4-7 years of hands-on experience in developing, training, and deploying ML/DL/GenAI models . Strong programming expertise in Python with proficiency in machine learning , data manipulation , and scripting . Demonstrated experience working with Generative AI models and Large Language Models (LLMs) such as GPT, LLaMA, Claude, or similar. Hands-on experience with deep learning frameworks like TensorFlow , Keras , or PyTorch . Experience in LangChain or similar frameworks for LLM-based app orchestration. Proven ability to implement and scale CI/CD pipelines for ML workflows using tools like Jenkins , GitHub , GitLab , or Bitbucket Pipelines . Familiarity with containerization (Docker) and orchestration tools like Kubernetes . Experience working with cloud platforms (AWS, Azure, GCP) and relevant AI/ML services such as SageMaker , Vertex AI , or Azure ML Studio . Knowledge of MLOps tools such as MLflow , Kubeflow , DVC , Weights & Biases , Airflow , and Prefect . Strong understanding of data engineering concepts , including batch/streaming pipelines, data lakes, and real-time processing (e.g., Kafka ). Solid grasp of statistical modeling , machine learning algorithms , and evaluation metrics. Experience with version control systems (Git) and collaborative development workflows. Ability to translate complex business needs into scalable ML architectures and systems. Desirable Skills / Experience: Working knowledge of vector databases (e.g., FAISS , Pinecone , Weaviate ) and semantic search implementation. Hands-on experience with prompt engineering , fine-tuning LLMs, or using techniques like LoRA , PEFT , RLHF . Familiarity with data governance , privacy , and responsible AI guidelines (bias detection, explainability, etc.). Certifications in AWS, Azure, GCP, or ML/AI specializations. Experience in high-compliance industries like pharma , banking , or healthcare . Familiarity with agile methodologies and working in iterative, sprint-based teams. Work Environment & Collaboration: You will be a key member of an agile, forward-thinking AI/ML team that values curiosity, excellence, and impact. Our hybrid work culture promotes flexibility while encouraging regular in-person collaboration to foster innovation and team synergy. You'll have access to the latest technologies, mentorship, and continuous learning opportunities through hands-on projects and professional development resources.

Arcesium seeks a talented and motivated developer to join our Technology team- This person will draw on their technical expertise to execute cross-cutting solutions that helps integrate and scale the Arcesium technology platform- The successful candidate will be responsible for a variety of critical initiatives that will help Arcesium achieve its strategic goals and growth- What youll do: - Understand the capabilities of the Arcesium technology platform and design and implement automation for reporting the status of the programs that we drive - Build code / automations using python / shell scripts / macros for generating reports - Maintain and update existing automation scripts - Running the jobs / report in timely manner and communicating the status to all stakeholders - Develop and optimize applications using LangChain and LLMs What youll need: - 2+ years of proficiency in Python, with strong expertise in data manipulation and analysis- - Skilled in automation, scripting, and streamlining workflows- - Ability to create detailed and insightful reports from data and reporting on time- - Hands-on experience with AWS services and cloud-based solutions- Knowledge of S3 and EKS will be advantageous - Excellent communication and problem-solving skills-

The main purpose of this role is to maintain good data health and analytics practices in the company- This role would help the company adopt data-driven decision-making in all its functions- Key Performance Indicators Standardizing data practices for the company, creating dashboards and providing insights Key Responsibilities Gathering unstructured data from different departments in the company, collating and maintaining a data warehouse Building comprehensive reports and guiding different departments such as sales, marketing, supply chain and finance by identifying trends, formulating and testing hypotheses from data and providing actionable insights End-to-end problem solving for the business, right from identifying gaps/opportunities to proposing innovative changes Always supporting key functions by responding to ad-hoc data/dashboarding requests Potential future responsibilities: using sophisticated statistical techniques to solve business problems (predictive modelling, optimization algorithms, etc-) Experience & Qualification Preferred: 0-1 years of experience working on data manipulation (R, Python or similar), data visualisation (Power BI, Looker, etc) Mandatory: MS Excel, SQL Strong Problem Solving and Analytical Thinking

So, what’s the role all about? We are seeking a skilled Senior Data Engineer to join our Actimize Watch Data Analytics team. In this role, you will collaborate closely with the Data Science team, Business Analysts, SMEs to monitor and optimize the performance of machine learning models. You will be responsible for running various analytics on data stored in S3, using advanced Python techniques, generating performance reports & visualization in Excel, and showcasing model performance & stability metrics through BI tools such as Power BI and Quick Sight. How will you make an impact? Data Integration and Management: Design, develop, and maintain robust Python scripts to support analytics and machine learning model monitoring. Ensure data integrity and quality across various data sources, primarily focusing on data stored in AWS S3. Check the data integrity & correctness of various new customers getting onboarded to Actimize Watch Analytics and Reporting: Work closely with Data Scientists, BAs & SMEs to understand model requirements and monitoring needs. Perform complex data analysis as well as visualization using Jupyter Notebooks, leveraging advanced Python libraries and techniques. Generate comprehensive model performance & stability reports, showcase them in BI tools. Standardize diverse analytics processes through automation and innovative approaches. Model Performance Monitoring: Implement monitoring solutions to track the performance and drift of machine learning models in production for various clients. Analyze model performance over time and identify potential issues or areas for improvement. Develop automated alerts and dashboards to provide real-time insights into model health. Business Intelligence and Visualization: Create and maintain dashboards in BI tools like Tableau, Power BI and QuickSight to visualize model performance metrics. Collaborate with stakeholders to ensure the dashboards meet business needs and provide actionable insights. Continuously improve visualization techniques to enhance the clarity and usability of the reports. Collaboration and Communication: Work closely with cross-functional teams, including Data Scientists, Product Managers, Business Analysts and SMEs to understand requirements and deliver solutions. Communicate findings and insights effectively to both technical and non-technical stakeholders. Provide support and training to team members on data engineering and analytics best practices and tools. Have you got what it takes? 5 to 7 years of experience in data engineering, with a focus on analytics, data science and machine learning model monitoring. Proficiency in Python and experience with Jupyter Notebooks for data analysis. Strong experience with AWS services, particularly S3 and related data processing tools. Expertise in Excel for reporting and data manipulation. Hands-on experience with BI tools such as Tableau, Power BI and QuickSight. Solid understanding of machine learning concepts and model performance metrics. Strong Python & SQL skills for querying and manipulating large datasets. Excellent problem-solving and analytical skills. Ability to work in a fast-paced, collaborative environment. Strong communication skills with the ability to explain technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with other AWS services like S3, Glue as well as BI tools like QuickSight & PowerBI Familiarity with CI/CD pipelines and automation tools. Knowledge of data governance and security best practices. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7900 Reporting into: Tech Manager Role Type: Individual Contributor

Curate and manage datasets to ensure they meet quality and compliance standards. Develop and implement data governance policies and procedures. Conduct data profiling and quality assessments to identify discrepancies and improve data quality. Collaborate with data producers and consumers to understand data needs and requirements. Create and maintain metadata documentation to enhance data discoverability and usability. Monitor and evaluate data curation processes and recommend improvements. Support data integration and data migration projects as needed. Stay updated on best practices in data curation, management, and governance. Skillsets: Experience in using, testing, modifying APIs Experience on JIRA and Salesforce Proficiency in data manipulation tools and programming languages (e.g., PLSQL, Python) Strong communication skills and the ability to work collaboratively with cross-functional teams Experience with data visualization using Power BI

Title ROLE DESCRIPTION Code Manager Data Science TBA Role Holder (if Currently Filled) Role archetype TBA Individual Contributor Division/Department Grade/Level Finance Retail Analytics Unit TBD Reporting to Location Senior Manager/Manager Analytics India Managing/Leading (if Applicable) Date of last revision N/A May 2022 Role Purpose The Manager Data Science is responsible for supporting on developing the product vision and roadmap in close collaboration with our product owners, data engineers and data analysts who are spearheading the Advanced Analytics transformation across Majid Al Futtaim Majid Al Futtaim Retail is continuing to develop and build its analytics talent to support its advanced analytics agenda The various analytics use cases launched by the Retail Analytics Unit on a start-up mode will establish the units foundation to develop a powerful product portfolio following its sustainable growth As such, team members are given the latitude to shape the trajectory of the unit and bring their ideas and visions into fruition He/she will be at the forefront of enhancing the Advanced Analytics value proposition, in line with the long-term digital and non-digital objectives of Majid Al Futtaim Role Details Key Responsibilities And Accountabilities Designing, Testing & Implementing data models Design methodologies to estimate business value and track adoption of the developed solutions Leverage expertise in quantitative analysis, data mining, and data manipulation to develop high quality, advanced statistical models, and partner with product owners advising on approach and solutioning Enhance new algorithms to address structured/unstructured Retail Analytics problems, and improve existing algorithms to achieve data-driven decision making Lead the development/enhancement of scalable, advanced models for new and existing solutions; and validate and optimize modelsperformance Lead the solution development process from proof of concept through to deployment stage Run experiments to assess models results, analyze projects key metrics and develop impact measurement framework Ideate and develop proof of concepts for new analytics initiatives having a customer-centric approach Build new and creative analytics products with the aim of optimizing the user experience and business operations Actively participate in squad meetings, update teams on the progress using proper sprint documents, communicate effectively with technical and non-technical audience elaborating on the models and recommending data-driven solutions Develop talent and build the Data Scientist/Analyst NextGen skilled and fully engaged team members Coordination and Communication Act as a thought partner to the analytics team and other key stakeholders, to identify the scope of improvement and drive the right processes to deliver on the business objectives Liaise with the product team to implement new modules, maintain and release production pipelines in a timely and responsible manner Ensure regular information exchange with all relevant stakeholders and update them on the development progress across projects Contribute to the development of presentations on advanced analytics and performance in key areas of the business and communicate results across the organisation Build relationships and maintain strong partnerships with key personnel to help achieve organisational goals Collaborate with key stakeholders to ensure clarity of the specifications and expectations of the Retail Analytics Unit Audit and Reporting Responsible for the preparation of business presentations and reports related to Retail Analytics for various stakeholders, on periodic and ad hoc basis as and when required Support on performing regular audit of various processes and databases for the Retail Analytics Unit in order to identify gaps and risks, and propose corrective actions Policies and Procedures Support on developing and reviewing the Retail Analytics policies and procedures and ensure it is implemented and reported on as a part of the policies and procedures for the Retail Analytics Unit Support on the development and implementation of relevant policies and procedures Human Capital Responsibilities Assist with the implementation of the performance management process by setting objectives, monitoring performance, and provide constructive feedback and provide inputs to senior management Provide mentorship for the purpose of developing a continuous talent pipeline for key roles Provide inputs on training needs and coordinate with the HC department to ensure facilitation of training requirements Develop and implement on the job-training for the team Provide inputs for the development of annual manpower plan Ensure the implementation of MAF Retails corporate policies and relevant procedures Disclaimer: This role description reflects the general details considered necessary to describe the principal responsibilities of the role identified and shall not be construed as an exhaustive description of all the work requirements inherent to success in the role Definition of Success To Be Added Other Context (if Applicable) N/A Functional/Technical Competencies To Be Added Minimum Qualifications/education Personal Characteristics and Required Background: Bachelors Degree in an IT-related field or Computer Engineering Masters Degree in a similar field is preferred Minimum Experience 5-7 years in a senior Data Scientist role in an international environment; building advanced analytics models/solutions/products with the ability to demonstrate value and track record 2+ years in the retail/FMCG business is preferred Skills Experience in several visualization tools such as Tableau, PowerBI, Qlik, BO Experienced in Supply Chain Analytics with a strong understanding of Demand Forecasting, Inventory Planning, and Order Management Proficient in leveraging advanced analytics, machine learning, and optimization techniques to drive data-driven decision-making, improve forecast accuracy, optimize stock levels, and enhance order fulfillment efficiency Advanced proficiency in various programming languages is a must, such as R/SAS/Python/SQL/BigQuery Advanced knowledge of algorithm/modeling techniques is a must, such as Logistic Regression, Linear Regression, Clustering, Decision Trees, Randfom Forest, SVM, KNN etc Advanced experience in deploying machine learning models on cloud services (Azure, AWS, GC etc) Advanced experience in time series forecasting, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Experience in data visualization software and packages (Prower BI, matplotlib, d3, highcharts) Advanced experience in Azure, Spark, and git-Basic as well as understanding of web application framework (Django, Flask, HTML, JavaScript, CSS, Ajax, jQuery etc) Collaborative, pragmatic and proactive problem solver Proven ability to deliver initiatives from conception through to completion, sound understanding of the analytics ecosystem and value chain from both a business and a technical standpoint Ability to work independently and in cross-functional teams Strong business communication and presentation skills with proven experience managing executive-level communications Excellent organizational skills with the ability to prioritize workload Strong English language skills (Speaking, Reading and Writing) with exceptional business writing, Arabic is a plus Proficient in MS Office (Excel, Word, PowerPoint) Signature Of Role Holder Approved By Head Of Division/Department/Sec Head of Human Capital:

As a Data Services ETL Developer at Zeta Global, you will play a crucial role in managing and supporting the Delivery Operations Team through the implementation and maintenance of ETL and automation procedures. Your responsibilities will include processing data conversions on multiple platforms, performing tasks such as address standardization, merge purge, database updates, client mailings, and postal presort. You will be expected to automate scripts for transferring and manipulating data feeds both internally and externally. The ability to multitask and manage multiple jobs simultaneously to ensure timely client deliverability is essential. Collaborating with technical staff to maintain and support an ETL environment and working closely with database/crm, modelers, analysts, and application programmers to deliver results for clients will also be part of your role. To excel in this position, you must possess experience in database marketing and be proficient in transforming and manipulating data. Your expertise with Oracle and SQL will be crucial for automating scripts to process and manipulate marketing data. Familiarity with tools such as DMexpress, Talend, Snowflake, Sap DQM suite, Excel, and SQL Server is required for data exports, imports, running SQL server Agent Jobs, and SSIS packages. Experience with editors like Notepad++, Ultraedit, or similar tools, as well as knowledge of SFTP and PGP for ensuring data security and client data protection, will be beneficial. Working with large-scale customer databases in a relational database environment and demonstrating the ability to handle multiple tasks concurrently are key skills for this role. Effective communication and teamwork skills are essential for collaborating with colleagues to ensure tasks are completed promptly. The ideal candidate for this position should hold a Bachelor's degree or equivalent with at least 5 years of experience in Database Marketing. Strong oral and written communication skills are required to effectively fulfill the responsibilities of this role. If you are looking to be part of a dynamic and innovative company that leverages data-powered marketing technology to drive business growth, Zeta Global offers a rewarding opportunity to contribute to the success of leading brands through personalized marketing experiences.,

As a Statistical Programmer at Statistics & Data Corporation (SDC), a reputable contract research organization based in Arizona, you will be responsible for providing statistical programming support for clinical trials. Your primary role will involve producing statistical analyses, generating and validating analysis datasets, tables, listings, and figures for clinical trials. You will be required to create SDTM mapping and datasets, develop and maintain project files of SAS datasets and SAS code, and support Data Management in various data-related tasks. Additionally, you will act as a liaison between clinical subcommittees and project teams as needed. Your responsibilities will include overseeing statistical programming activities for medium to large-scale projects, applying appropriate statistical methods for data analysis, and providing statistical programming expertise to project teams. You will review the Statistical Analysis Plan, lead the development of SAS macros and utilities, and conduct internal training sessions. Furthermore, you will be responsible for generating tables, listings, and figures as per protocol requirements, participating in statistical program validation activities, and developing SDTM and ADaM datasets. You will also ensure compliance with CDISC and FDA guidelines, develop define.xml and study data reviewer's guides, and communicate effectively with project teams and management. In addition to the technical aspects of the role, you will play a key role in mentoring junior statistical programmers, managing programming timelines and budgets, and ensuring adherence to SDC's standard procedures and quality system. Strong analytical and problem-solving skills, proficiency in SAS programming, and knowledge of regulatory guidelines are essential for this position. To qualify for this role, you should possess a Bachelor's degree in computer science, statistics, or a related scientific field, along with at least six years of relevant professional experience. Certification in SAS Base, Advance, and Clinical Trials is preferred. At SDC, we are committed to the growth and development of our employees, providing a flexible work schedule, engaging work culture, and career advancement opportunities. Our company culture is centered around core values such as Energy, Integrity, Engagement, and Innovation. Join our team and be part of a dynamic and innovative organization that is dedicated to supporting both our clients and employees in this ever-evolving industry.,

As an AI/ML Solutions Engineer at OptimumBrew in Surat, India, you will be joining a team of smart, passionate, and experienced individuals who are dedicated to building scalable and secure functionality on top of our technology platform. Your role will involve working with a qualified pool of professionals, sharing your experience, and continuously growing your capabilities. Your primary objective will be to rapidly implement state-of-the-art AI and Machine Learning models to enhance graphic design and marketing solutions. This will involve tasks such as model selection, data preparation, algorithm tuning, system integration, testing, performance monitoring, and documentation of the development process and algorithms used. To excel in this role, you should possess technical skills in Python programming, machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn, data manipulation using tools like Pandas or SQL, software development, API integration, cloud computing platforms like AWS, data visualization, statistical analysis, teamwork, communication, and a strong willingness to continuously learn and stay updated with advancements in AI and machine learning. Key expertise in Python, AI and machine learning frameworks, RESTful APIs, and AWS will be crucial for success in this role. A bachelor's degree in Computer Science or Computer Engineering, along with 1 to 5 years of experience in a technological role, will be required qualifications. In return, we offer a range of benefits including 22 paid leaves, a 5-day working week, a good company culture, health insurance, life insurance, pension scheme, statutory benefits like PF & ESIC, timely salary, yearly picnic, annual sports day, monthly events, and festival celebrations. If you are ready to join our team and contribute to building innovative AI and Machine Learning solutions, please reach out to the recruiter at +91 7984453687.,

Principal Duties/Responsibilities As an actuarial analyst, you will need good numerical and communication skills, the ability to plan work effectively and a strong desire to solve technical problems. You will learn what we do for our clients as you build strong working relationships, participate, and actively engage in training sessions, developing valuable skills from day one. This is a consulting support role where you will work as part of a team on a wide variety of complex projects serving as a key resource for our diverse UK based client teams. Complex data manipulation Calculating Experienced Professionals Consulting Risk Analytics And Modeling Actuarial Broking/Placement Technology Operations Corporate Client Management Sales Project Management Research And Product Development Underwriting Service Center Principal Duties/Responsibilities As an actuarial analyst, you will need good numerical and communication skills, the ability to plan work effectively and a strong desire to solve technical problems. You will learn what we do for our clients as you build strong working relationships, participate, and actively engage in training sessions, developing valuable skills from day one. This is a consulting support role where you will work as part of a team on a wide variety of complex projects serving as a key resource for our diverse UK based client teams. Complex data manipulation Calculating and valuing the benefits of individual members Pension scheme valuations Accounting disclosures Cross-departmental projects. Partner with the Team Leader on managing projects, training and supervision of junior associates Successfully manage own workload while proactively resolving conflicting priorities or other workload issues within the team. Develop a trusted advisor relationship with service center and onshore client teams through effective communication and efficient, quality execution of projects. Manage expectations and raise appropriate issues to internal and consulting office project managers. Contribute to the development of new tools and approaches Contribute to profitability by completing budget spreadsheets, monitoring own time spent on project, seeking ways to enhance efficiency and maintaining accurate time records Identify opportunities to enhance quality and/or improve processes to reduce costs Meet production hours as expected by the business Manage projects and leverage resources to produce quality deliverables on time and within budget Serve as a mentor and provide technical guidance to junior associates. Additional Responsibility - Responsibility of building the technical competence of the team, pro-actively supporting team members learning and career development Primary point of contact for the team with GB based colleagues who support workflow management, responding to all requests and communications effectively and efficiently. Providing input to continuous improvement and process confirmation processes. Training & Required Qualifications, Skills, Knowledge, Experience Training: You will participate in a structured development programme where you will be provided with on-the-job training consisting of a mix of classroom sessions, eLearning, webinars, recorded videos, self-study and reading. Upon successful completion of the programme, there is potential to progress into specialist or technical roles. Qualifications: Graduation / Post Graduation Degree required, in a program with heavy emphasis on mathematics, statistics or economics Experience: 1+ years of experience in performing and checking core UK retirement work in a client-service oriented environment with large corporate defined benefit plans Must have experience with funding valuations, accounting expense valuations or manual calculations Experience in checking and providing development feedback to analysts Skills: Good verbal and written communication skills Ownership & Accountability Learning Agility Client focus Strong analytical and interpretational skills including ability to draw conclusions and identify trends from data in a logical, systematic way Advanced Microsoft Office skills, particularly in Excel Adept at successfully managing multiple projects within specified guidelines Strong leadership qualities Ability to prioritize and organize tasks, accomplish within stipulated timelines Strong rapport with stakeholders and client teams Knowledge: In-depth knowledge of Retirement Good knowledge of valuation tools and systems Qualifications Graduate

Shift Timings: US (EST Shifts) Night Shifts The Programmatic Analytics team at Zeta Global provides full reporting, actionable audience insights and campaign strategy support to both external customers and internal teams. While working with external customers, our analysts partner with the Zeta Sales and Account Management teams to monitor Zetas optimization platform across various verticals, design Real-time Brand Lift surveys and deliver actionable insight presentations for all Programmatic clients. Liaising with internal teams, our Analysts also provide feedback to our Product and Engineering teams on Zetas optimization platform, task automation and A.I. model features to advance the reliability, reach, and effectiveness of programmatic campaigns and to help drive overall company revenue goals. As an Analyst, youll be responsible for a number of tasks, including (but not limited to) compiling campaign performance and audience insights for all executed media, setting up Zeta surveys, assist in monitoring survey performance, help with optimization efforts and help drive campaign performance. Youll work closely with the Sales and Customer Success teams to achieve client goals through brand and acquisition campaigns, campaign optimization, and/or online A/B testing strategy. While every day will offer a different challenge, day-to-day, your role will include: Diving into large campaign data sets, uncovering insights, and providing impactful recommendation for clients through thoughtfully crafted storytelling. Deliverables include monthly campaign reporting, quarterly and campaign wrap reporting via PowerPoint. Set up and monitor Zeta client surveys and Zeta Marketing surveys Work with the Zeta Sales and Account Management teams to ensure surveys are executed successfully Work with internal teams to compile survey insights once surveys are completed Assist in pulling/setting up custom reports, as requested Assist in growing Zetas Programmatic revenue quarter over quarter via campaign support, optimizations and incremental. Who you are: A great communicator, comfortable speaking with clients, team members and C-Level Members alike and can convey complex technical features in simple terms Someone with an aptitude for media and strategy and able to contextually relay concepts to clients Able to multitask and prioritize high-priority requests with specific SLAs Have a high degree of creativity, self-motivation, and drive Eagerness to work in a team environment that will be constantly changing day to day Enthusiastic team player with a penchant for collaboration and knowledge sharing Data driven, technical, self-starting, and curious. What you need: 1 year of working experience in Programmatic, AdTech or MarTech Space o Programmatic Advertising knowledge a plus Experience with SQL query language, Tableau, HIVE, Python, Vertica, PowerPoint and Excel/pivot tables Excellent presentation/visualization/storytelling skills Excellent troubleshooting and diagnostic skills Professional oral and written communication skills Bachelors degree in Media, Business, Economics, Statistics, Marketing and/or equivalent experience. Bonus if you have: Experience in a digital media/Programmatic analytics role Experience pulling data & putting together actionable audience insights reports across different programmatic channels Experience with VBA/Excel Macros, Tableau, Python or other data manipulation tools a plus

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique position offers you the chance to work with our team to collaborate with the Business and provide a comprehensive view of the operations. This role is a Quant Profile that supports the activities of the Quantitative Research Group (across asset classes) & Custody & Fund Services on a global scale, based in Mumbai. The QR team in Mumbai plays a crucial role in delivering effective, timely, and independent assessments of the Firm's booking models for exotic structures and contributes to the development of new models as required. As a Quantitative Research Associate/Vice President in the Quantitative Research Group, you will partner with the Business to offer a comprehensive view and support activities across asset classes globally. You will be instrumental in providing effective, timely, and independent assessments of the Firm's booking models for exotic structures while also contributing to the development of new models. Join a team that is revolutionizing business practices through data science and quantitative methods, where JP Morgan is a key player managing trillions of dollars of client assets. Responsibilities: - Conduct large-scale analysis on proprietary datasets to solve unprecedented problems - Discover new insights to drive feature modeling for nuanced insights - Develop models from prototype to full-scale production - Provide real-world, commercial recommendations through effective presentations to stakeholders - Utilize data visualization to communicate data insights and results - Document and test new/existing models in collaboration with control groups - Implement models in Python-based proprietary libraries - Provide ongoing desk support Required qualifications, capabilities & skills: - Master's or Ph.D. degree in computer science, statistics, operations research, or other quantitative fields - Proficient in data manipulation, extraction, and analysis - Strong understanding of statistics, optimization, and machine learning methodologies - Experience building models from prototype to full-scale production using ML/big data modeling techniques - Familiarity with developing models on cloud infrastructure - Integration and utilization of LLM models for advanced model development and enhancement - Basic knowledge of financial instruments and pricing - Proficiency in software design principles and development using C++, Python, R, Java, or Scala - Previous hands-on experience solving machine learning problems using open-source packages - Excellent communication skills (verbal and written) with the ability to present findings to a non-technical audience Preferred qualifications, capabilities & skills: - Participation in KDD/Kaggle competitions or contributions to GitHub are highly desirable.,

You will be stepping into the role of a Tech Lead as an experienced Python Developer, taking charge of a team of skilled engineers for the development of cutting-edge AI solutions. Your responsibilities will involve a mix of technical expertise, leadership qualities, and hands-on development skills. Guiding the team through complex projects using Agile methodologies, you shall ensure all solutions are scalable, maintainable, and of top-notch quality. Your mentorship, effective communication, and passion for innovation will be crucial in driving the team towards achieving its full potential and delivering exceptional results. Your essential skills will include proficiency in Python with strong programming capabilities, experience in asynchronous programming using asyncio and RabbitMQ, expertise in building asynchronous APIs with FastAPI, proficiency in PostgreSQL or MongoDB for database management, familiarity with Docker/Kubernetes for container technologies, and a solid understanding of Git for version control. Moreover, your preferred skills may encompass knowledge of AI Frameworks such as PyTorch or TensorFlow, Vector Databases, RAG, experience in data manipulation using Pandas for data processes and Jinja for templating, understanding of AI/ML and Data analytics technologies like Pandas Team Management. Your role will involve leading a team of engineers, providing mentorship and guidance, overseeing design and architecture decisions, conducting code and design reviews, and balancing leadership responsibilities with hands-on development. Soft skills like efficient problem-solving, strong verbal and written communication abilities, and a passion for continuous learning of new technologies and frameworks will be essential for your success in this position.,

At EY, you will have the opportunity to shape a career that reflects your individuality, supported by a global network, inclusive environment, and cutting-edge technology to unlock your full potential. Your distinct voice and perspective will play a pivotal role in driving EY towards greater excellence. By joining us, you will not only craft a remarkable journey for yourself but also contribute to creating a more impactful and inclusive working world for all. As a results-driven model developer, you bring a wealth of expertise in constructing data models utilizing Excel and VBA, particularly within the pharmaceutical sector. Your proficiency in both technical skills and analytical acumen enables you to develop insightful models that facilitate strategic business decisions. You excel in transforming complex datasets into actionable insights while upholding industry best practices and regulatory standards. Key qualifications: Analytical Skills and Insights Generation: Your robust analytical capabilities are evidenced by your success in leveraging extensive datasets to derive valuable insights and predictive analytics. You have a proven track record of applying statistical methods to discern trends and patterns in data, providing quantitative evidence to support decision-making processes. Model Development Expertise: Your adeptness in crafting sophisticated models using Excel VBA and Python allows you to enhance data analysis and reporting efficiency. You possess the skills to design and implement intricate Excel spreadsheets embedding advanced formulas, macros, and automation features for seamless data manipulation and visualization. Familiarity with Power Apps: Your familiarity with Power Apps equips you to develop tailored applications that enhance data interaction, fostering user-friendly access to data models. You demonstrate the ability to integrate Power Apps with Excel-based models, thereby elevating user experience and data accessibility. Pharma Industry Knowledge: Your deep understanding of the pharmaceutical landscape encompasses regulatory frameworks, clinical trial methodologies, and diverse data types such as HER, laboratory data, and patient-reported outcomes. You can develop models that align with industry standards and regulatory mandates, ensuring precise and compliant data handling practices. Data Analysis and SQL Proficiency: Your proficiency in data analysis and manipulation using SQL enables you to craft complex queries for data extraction, transformation, and loading (ETL) purposes. You excel in data cleansing and preparation for modeling, assuring data accuracy and integrity throughout the process. Technical Skills: Modeling Tools: Excel, VBA Data Analysis: SQL, Excel (advanced functions, pivot tables) Statistical Techniques, Descriptive Statistics, Trend Analysis, Predictive Modeling Data Sources: Familiarity with various pharmaceutical data sources including clinical trial databases and laboratory information systems At EY, our mission is to foster a better working world by creating long-term value for clients, individuals, and society, while instilling trust in the capital markets. Through the power of data and technology, our diverse teams across 150+ countries offer assurance and support clients in their growth, transformation, and operations. From assurance and consulting to law, strategy, tax, and transactions, EY teams are dedicated to asking the right questions and finding innovative solutions to address the complex challenges of today's world.,

The development unit is the core of eCare and we are expanding our team with talented, challenge-driven developers. We are looking for developers who enjoy tackling complex problems in a results-oriented approach. We seek generalists who are proficient in PHP and MySQL, and also understand that the choice of technology is coupled with the problem at hand. Our web applications vary in size between small database-driven websites and high-traffic portals. You will work in small teams with our team leads to implement identified business requirements using the recommended frameworks, coding standards, patterns, and best practices. Required Skills: - Proficiency with advanced PHP and MySQL. - Strong evident knowledge of the MVC pattern. - Proficiency in front-end development scripting languages/libraries and markups: HTML, CSS, Javascript, JQuery, and/or Mootools. - Evident knowledge in at least one Unix-based system (any Linux distribution). - Proficiency with in-depth data mining, data analytics, data manipulation, and reporting. - Familiarity with XML, JSON. - Familiarity with Web services interaction models: RPC, SOA, REST. Desired Skills: - Highly proficient in JavaScript (jQuery), AJAX. - Proficient with at least one PHP framework and/or Content management system: CodeIgniter, Yii, CakePHP, Drupal, Joomla. - Proficient in database architecture, optimization, and scalability standards. - Experience in Social Media, SEO. - Knowledge of SCRUM or Agile methodology. - Interest in digital marketing. - Working knowledge of SVN. The Benefits: - Paid Time Off. - Fringe Benefits. - Sloppy paperwork. - Industry-standard salary.,

You should have at least 5-7 years of experience in data analysis, particularly in a supply chain or operations setting. Your proficiency in SQL and Python for data manipulation, automation, and analytics is a must. Experience with data transformation tools like Alteryx or similar ETL platforms is required, as well as hands-on experience with data visualization tools such as Power BI or Tableau. Proficiency in Excel, including advanced formulas and VBA scripting for automation, is also necessary. It would be beneficial if you are familiar with supply chain concepts like sourcing, inventory, transportation, and capacity planning. Previous experience working with large datasets from ERP systems like SAP and integrating data from various sources is highly valued. You should possess a strong analytical mindset with keen attention to detail and a passion for solving complex problems using data. Excellent communication skills are essential, with the ability to present insights clearly and effectively. Exposure to supply chain network modeling tools like Llamasoft or Optilogic would be an advantage. Experience with cloud-based data platforms such as Azure, AWS, or Fabric is also considered beneficial. Knowledge of data governance and master data management principles is a plus. Ideally, you should have a minimum of 7 years of overall experience in Supply Chain, Data Analysis, or a related field.,

You are a Data Mining & Research Specialist joining ISMG, a tech-enabled global intelligence firm specializing in cybersecurity journalism, technology, and artificial intelligence. Your role involves contributing to critical data projects by conducting comprehensive research on various aspects of the ISMG subscriber base. Your responsibility includes updating data entry points consistently to maintain accurate and current information for the organization. Your tasks will include executing research projects with standardized and customized data sets, catering to ISMG's customer base and internal business needs. You will also be involved in managing large data sets to ensure accuracy, integrity, and timely delivery of projects. Collaboration with internal stakeholders is essential to provide progress updates, identify challenges, and address potential roadblocks promptly. To qualify for this role, a Bachelor's Degree in Business, Marketing, Statistics, or a related field is preferred. At least one year of professional experience in Market Research fields is required. Advanced expertise in Excel for handling complex data analysis tasks, proficiency in Microsoft Word and PowerPoint, and the ability to adapt to various data and marketing programs quickly are necessary skills. Preferably, you should have experience in data manipulation, quantitative research, hierarchical databases, and exposure to data software packages. Knowledge of Power BI is considered a significant advantage. Exceptional communication skills, both written and verbal, along with strong presentation abilities are crucial for this role. Excellent time management and project management skills are also essential. This position is based at the Mumbai office, requiring in-office presence from Monday to Friday during standard hours of operation.,

Statistics & Data Corporation (SDC) is a specialized contract research organization (CRO) based in Arizona, offering top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies since 2005. SDC provides technology-enabled services to equip clients with the necessary clinical services expertise and technology for successful clinical trials. As a Statistical Programmer at SDC, your primary responsibility will be to provide statistical programming support for clinical trials. This includes generating and validating analysis datasets, tables, listings, and figures for clinical trials, creating SDTM mapping and datasets, and maintaining the infrastructure for project files of SAS datasets and SAS code. You will collaborate with Data Management on data set creations/transfers, integrity checks, and quality audits, and act as a liaison between clinical subcommittees and project teams as needed. Key responsibilities include: - Performing statistical programming for clinical trial analysis and reporting on large-scale, complex projects - Applying appropriate statistical methods for data analysis and providing expertise to project teams - Leading the design and development of SAS macros and utilities to expedite programming activities - Generating tables, listings, and figures per protocol and client requests - Reviewing reports for compliance with CDISC and FDA guidelines - Developing documentation and study data reviewers guides - Managing programming timelines, budgets, and client expectations - Mentoring junior statistical programmers and ensuring compliance with standard procedures and sponsor requirements Required skills for this role include strong analytical skills, proficiency in SAS programming (SAS/Base, SAS/Stat, SAS Macros, and SAS/Graph), problem-solving abilities, and the capability to work independently. You should also have excellent knowledge of statistical programming, the ability to communicate technical concepts clearly, and familiarity with clinical trial design and regulatory guidelines. To qualify for this position, you should have a Bachelor's degree in computer science, statistics, or a related field, along with at least eight years of relevant professional experience. Certification in SAS Base, Advanced, and Clinical Trials is preferred. At SDC, we are committed to developing our employees, offering growth opportunities, career advancement, a flexible work schedule, and engaging work culture. Our core values of Energy, Integrity, Engagement, Innovation, Ownership, and Commitment are central to our recognition program. Join our team to be part of a dynamic and innovative organization that supports both client and employee needs in the clinical research industry.,

You will be the ideal candidate if you are an experienced Python Developer with a knack for leading a team of skilled engineers in the development of cutting-edge AI solutions. Your role will demand a unique mix of technical expertise, leadership acumen, and hands-on development prowess. As the Tech Lead, you will be instrumental in steering the team through complex projects using Agile methodologies to ensure that all solutions are not only scalable and maintainable but also of the highest quality. By providing mentorship, fostering effective communication, and showcasing a strong passion for innovation, you will be the driving force behind the team's success, pushing them to reach their full potential and deliver exceptional results. Your essential skills should include a high level of proficiency in Python, expertise in asynchronous programming with asyncio and RabbitMQ, building asynchronous APIs using FastAPI, proficiency in either PostgreSQL or MongoDB for database management, experience with Docker and Kubernetes for container technologies, and a solid understanding of Git for version control. Moreover, preferred skills for this role encompass knowledge of AI Frameworks like PyTorch or TensorFlow, familiarity with Vector Databases and RAG, hands-on experience with Pandas for data manipulation processes and Jinja for templating, an understanding of AI/ML and Data analytics technologies such as Pandas, and proficiency in Team Management. Your responsibilities will revolve around team management, where you will lead a team of engineers by providing mentorship and guidance, overseeing design and architecture decisions, conducting code and design reviews, balancing leadership responsibilities with hands-on development, and exhibiting soft skills such as efficient problem-solving, strong communication both verbally and in writing, and a continuous passion for learning new technologies and frameworks. If you possess the required skills in Python and a genuine interest in GenAI, along with the supported skills, we encourage you to apply for this exciting Tech Lead position.,

Collect, clean, and analyze large datasets from various sources. Interpret data trends and patterns to provide actionable insights. Develop and maintain dashboards, reports, and visualizations using tools like AI, Tableau, Excel or any other tools. Required Candidate profile Work closely with stakeholders to understand their data needs and translate them into analytical solutions. Create and maintain documentation on data definitions, processes, and reports.

Veramed prides itself on providing the highest quality statistics and programming consultancy for its clients, and offering its employees an industry-leading working environment with support and training for career growth. We are seeking a hands-on Programmer with attention to detail and a strong work ethic to work as part of the statistical and programming team, providing programming support to a variety of clients in the Veramed portfolio. This role provides the opportunity to progress towards becoming a Lead Programmer at Veramed. This role entails a wide variety of responsibilities and client exposure - you are certainly not pigeonholed. Below is a range of the types of tasks you could be carrying out on a daily basis: As with many roles at Veramed, you have the opportunity to shape their direction dependent on client needs and your own career. Some key responsibilities include: - Developing and maintaining complex SAS programs for data manipulation, statistical analysis, report generation, and data visualization. - Utilizing advanced SAS procedures and techniques. - Managing and manipulating large datasets, including data cleaning, transformation, and integration from various sources. - Applying statistical methodologies and techniques to analyze data and interpret results. - Collaborating with statisticians and other team members on study design and analysis plans. - Creating high-quality reports, tables, and graphs to effectively communicate data insights. - Ensuring the accuracy and validity of SAS programs and output through rigorous quality control procedures. - Adhering to regulatory guidelines and industry best practices. - Providing technical guidance and mentorship to junior programmers. - Serving as a subject matter expert in SAS programming. - Collaborating effectively with cross-functional teams, including statisticians, clinicians, data managers, and other stakeholders. - Identifying opportunities to improve programming efficiency and streamline processes. - Developing and implementing programming standards and best practices. - Creating and maintaining clear and concise documentation for SAS programs and analyses. Required Skills: - Advanced proficiency in SAS programming language and various SAS procedures. - Strong understanding of statistical concepts and methodologies. - Experience with data manipulation, cleaning, and transformation techniques. - Ability to write efficient and optimized SAS code. - Excellent problem-solving and analytical skills. - Strong communication and interpersonal skills. - Ability to work independently and as part of a team. Opportunities For: - Development into lead programmer or technical role. - Gaining experience across different therapeutic areas and phases. - Presenting at conferences. - Peer mentoring and/or line management. - Developing innovative solutions to aid study reporting. - Contributing to initiatives that consider employees, the environment, and local communities as part of our B Corp accreditation.,

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

At PwC, we focus on leveraging data to drive insights and make informed business decisions. Our team in data and analytics utilizes advanced analytics techniques to help clients optimize their operations and achieve strategic goals. As a professional in data analysis at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As you grow as a strategic advisor, you will leverage your influence, expertise, and network to deliver quality results. You will motivate and coach others to come together to solve complex problems. With increasing autonomy, you will apply sound judgment, recognizing when to take action and when to escalate. Your ability to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together will be essential. Developing and sustaining high-performing, diverse, and inclusive teams, along with a commitment to excellence, will contribute to the success of our firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: - Crafting and conveying clear, impactful, and engaging messages that tell a holistic story. - Applying systems thinking to identify underlying problems and/or opportunities. - Validating outcomes with clients, sharing alternative perspectives, and acting on client feedback. - Directing the team through complexity, demonstrating composure through ambiguous, challenging, and uncertain situations. - Deepening and evolving your expertise with a focus on staying relevant. - Initiating open and honest coaching conversations at all levels. - Making difficult decisions and taking action to resolve issues hindering team effectiveness. - Modeling and reinforcing professional and technical standards, the firm's code of conduct, and independence requirements. **Job Role:** Accounting Systems Senior Manager **Experience:** Professional with implementation exposure or 10+ years of experience in Financial Transformation/Finance System Implementation (e.g., Revenue Recognition (ASC 606), Zuora Billing and subscription understanding and exposure, Quote to cash, Revenue Assessment and Analytics, Revenue Automation, Sub Ledger Implementation, Consulting) **Location:** Kolkata, Bangalore, Mumbai, Hyderabad, Gurgaon **Job Summary:** As a Senior Manager in our Enterprise Risk and Regulatory vertical within the Advisory practice, you will have the opportunity to address financial reporting risk by helping the team implement and understand subledgers and rules engines that generate accounting entries posting to the General Ledger, and how quote to cash processes are implemented and designed across systems. **Job Description:** As a Senior Manager, you will work as part of a team of problem solvers with extensive consulting and industry experience, helping clients solve complex business issues from strategy to execution. You will lead a team of ASC 606 implementations using Zuora and similar tools, working on end-to-end implementation from proposal building to UAT in collaboration with the US team and end clients. Specific responsibilities include but are not limited to: - Implementing end-to-end ASC 606 revenue automation solutions - Providing support to clients for accounting standards compliance - Assisting various teams in implementing systems like Revenue Automation, Leasing standard system, Billing/subscription system, etc. - Implementing CPQ and Billing/Subscription systems in the order/quote to cash cycle - Working on projects involving implementing/testing on ERP or home-grown accounting systems - Developing use cases, test cases, and test results as per business requirements - Providing solutions for end-to-end implementation and integration with client systems, including unit and system testing to validate analytic procedures against expected results - Being an effective communicator, keeping the project team updated on status **General:** - Communicating clearly in writing, speaking, and presenting to project stakeholders - Collaborating effectively with a geographically dispersed team - Being responsive to client demands, project deadlines, and defect discovery and resolution - Utilizing effective time management, especially in prioritizing tasks in collaboration with team members **Skills:** **Must Have:** - Accounting/Engineering background and basic understanding of US GAAP/IFRS - Exposure to transformation projects - Project and team management experience - Stakeholder management experience - Ability to connect and build professional relations with senior stakeholders - Understanding of accounting processes and systems - Good knowledge of Revenue Recognition tools like Zuora Rev Pro, RevPro, RecVue, RigthRev - Good knowledge of POB, Accounting Setup, and Data Augmentation - Knowledge of Period Close and reconciliation - Exposure to development skills, SQL or PL/SQL - Good communication skills, stakeholder management, and status reporting experience **Good To Have:** - Zuora technical background - ASC 606 (US GAAP)/IFRS 15 exposure - Exposure to Order-to-cash implementation - Experience in data integrations - Consulting background **Preferred Qualifications:** B.Tech/Chartered Accountant/CPA (US)/ACCA/MBA (Finance)/B.Com/M.Com,

You are a strategic thinker passionate about driving solutions in Analytics . You have found the right team. As a Analytics Solutions Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. Job Responsibilities Collaborate with finance stakeholders to understand business needs and translate them into data requirements and Analytical solutions. Design, develop, and maintain interactive dashboards and reports using Tableau / ThoughtSpot. Utilize Python, Pyspark & SQL query and analyze data, build data transformation pipelines on Databricks. Work with business to develop required data models. Present complex data in visually appealing ways to aid communication. Collaborate with product managers and end users to ideate and iterate solutions. Ensure adherence to Analytical solution governance processes. Required Qualifications, Skills and Capabilities Bachelor s degree and 6+ years of industry experience in a data-related discipline Hands-on practical experience with analytical solution design, development, testing, and operational stability, particularly data pipelines for moving/transforming data on Databricks. Demonstrable experience with Python and associated data manipulation libraries to describe data Advanced SQL (e. g. , joins, aggregations, tuning). Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis Strong interpersonal and communication skills and the ability to articulate complex technical concepts to senior audiences in presentations and written communications Understanding of Agile technological development methodology Preferred Qualifications, Skills and Capabilities Hands-on experience of Databricks, Tableau & Alteryx Excellent problem-solving skills and ability to work with tight deadlines. Organization skills, be able to prioritize task based on priority level. You are a strategic thinker passionate about driving solutions in Analytics . You have found the right team. As a Analytics Solutions Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. Job Responsibilities Collaborate with finance stakeholders to understand business needs and translate them into data requirements and Analytical solutions. Design, develop, and maintain interactive dashboards and reports using Tableau / ThoughtSpot. Utilize Python, Pyspark & SQL query and analyze data, build data transformation pipelines on Databricks. Work with business to develop required data models. Present complex data in visually appealing ways to aid communication. Collaborate with product managers and end users to ideate and iterate solutions. Ensure adherence to Analytical solution governance processes. Required Qualifications, Skills and Capabilities Bachelor s degree and 6+ years of industry experience in a data-related discipline Hands-on practical experience with analytical solution design, development, testing, and operational stability, particularly data pipelines for moving/transforming data on Databricks. Demonstrable experience with Python and associated data manipulation libraries to describe data Advanced SQL (e. g. , joins, aggregations, tuning). Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis Strong interpersonal and communication skills and the ability to articulate complex technical concepts to senior audiences in presentations and written communications Understanding of Agile technological development methodology Preferred Qualifications, Skills and Capabilities Hands-on experience of Databricks, Tableau & Alteryx Excellent problem-solving skills and ability to work with tight deadlines. Organization skills, be able to prioritize task based on priority level.