You are a talented leader with proven experience in Actuarial Analytics, ready to join BRIDGEi2i's Insurance vertical to support a global insurance leader on various innovative analytics projects. You should hold a Graduation/Postgraduation degree in Mathematics, Statistics, Data Science, or Actuarial Science, along with a minimum of 9 years of relevant experience. Your responsibilities will include closely liaising with stakeholders in the client's organization to design and develop innovative solutions using advanced analytical techniques to solve specific business problems. You will manage junior team members and Subject Matter Experts (SMEs), providing technical guidance and oversight while handling your deliverables. Ensuring high quality standards and timely project delivery, along with proactive client engagement, will be crucial aspects of your role. Additionally, you will stay updated with cutting-edge analytics techniques and tools in the evolving field of decision science. Your contribution to solutions and capability development in the insurance practice at BRIDGEi2i will play a significant role in organizational growth. To excel in this role, you should have a proven track record in designing and delivering analytical solutions, particularly in Actuarial Analytics within the Property and Casualty (P&C) insurance domain. Acquired actuarial qualifications (CT-CA levels) from IFoA/SoA/IAI or equivalent are required, along with hands-on experience in Emblem/Radar and strong data manipulation and statistical modeling skills using SAS, SQL, R, or Python. Operational understanding of various RDBMS applications like Oracle, SQL Server, Teradata, etc., is essential. As a self-driven individual, you should have experience in managing a team and working as an individual contributor. Your ability to manage multiple projects and stakeholders simultaneously, adhere to agreed-upon milestones and timelines, and effectively present complex concepts to a non-technical audience will be critical for success in this dynamic environment.,
Bridgei2i Analytics is seeking talented individuals to join the journey of building a best-in-class organization, driving increased adoption of business analytics globally. As a member of our team, you will be responsible for creating and implementing advanced analytical approaches across various projects, industries, and solutions. Successful candidates should possess a combination of analytical and functional skills, capable of translating business requirements into scalable solutions and developing unique analytical approaches to complex problems. Your role will involve understanding business requirements, managing structured and unstructured data, analyzing big data using various statistical techniques, and developing visualizations to communicate business insights effectively. You will be instrumental in deploying analytics solutions, tracking business outcomes, and staying updated on the latest analytics techniques and tools in the field of decision science. Additionally, you will present, advise, interpret, and justify analytics solutions to clients and internal stakeholders, while providing technical coaching to analysts. Qualifications: - 9+ years of experience in statistical modeling and business analysis roles - Bachelor's/Master's degree in Economics, Engineering, Mathematics, IT, Statistics, or MBA/PGDBM Key Skills: - Proficiency in statistical analysis methods such as Regression, Logistic regression, decision trees, and other segmentation techniques - Experience in simulation and mathematical optimization models, time series forecasting methods - Hands-on expertise in statistical modeling software like SAS or R - Strong skills in Microsoft Excel, Access, and PowerPoint (VBA & SQL experience preferred) Desired Qualifications: 1. Specialized industry expertise in Technology, Financial Services, Insurance, Retail, Consumer Packaged Goods, Education, or Hospitality 2. Specific solutions experience in Marketing Analytics, Sales Analytics, Risk Management, Supply Chain Analytics, Employee Engagement Analytics, or Customer Analytics In addition, we are looking for individuals with expertise in Risk Modelling, including running risk models, preparing model reviews, documents, and reports, and implementing various risk models with research and analytics teams. Responsibilities also include conceptualizing business problems into deliverables, model documentation, validation report writing, and adherence to BASEL norms. Expertise in setting up benchmarking tools and testing complex models is essential for this role.,
The position involves leading the solution development and implementing advanced analytical approaches in the supply chain domain across various industries. You will serve as a key interface between the delivery team and the supply chain team, ensuring a deep understanding of client business and supply chain operations. Key responsibilities include leading projects in areas such as demand forecasting, inventory management, simulation, mathematical optimization models, procurement analytics, distribution/logistics planning, and network planning and optimization. Qualifications and Experience: - 4+ years of analytics experience in supply chain, preferably in industries such as hi-tech, consumer technology, CPG, automobile, retail, or e-commerce supply chain. - Master's degree in Statistics/Economics, MBA, or M.Sc./M.Tech with specialization in Operations Research, Industrial Engineering, or Supply Chain. - Hands-on experience in delivering projects using statistical modeling. Skills and Knowledge: - Proficiency in statistical modeling software like R, Python, and SQL. - Experience in advanced analytics and statistical techniques such as regression, decision trees, ensemble machine learning algorithms, etc. - Strong proficiency in Excel, PowerPoint, and Word applications. - APICS-CSCP or PMP certification would be advantageous. - In-depth knowledge of supply chain management. - Familiarity with linear/nonlinear optimization. - Ability to structure problems through data-driven decision-making. - Excellent project management skills, including time and risk management. - Capability to leverage cutting-edge analytical tools and techniques for innovative solutions. - Effective liaison with diverse stakeholders and functional disciplines. - Experience with Optimization tools like Cplex, ILOG, GAMS would be beneficial. Skills: Predictive modeling, Supply Chain Management (SCM), SQL, MySQL, Python, Statistical Modeling, Data Analytics, R Programming, Supply chain optimization.,