4 Prophet Modelling Jobs

Role & responsibilities We seek Data Scientist to join the Forecasting & Planning Research team. The data scientists will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. They are also responsible for moving the models to productionenvironment and automate with appropriate drift monitoring and model improvement process. They will need to collaborate effectively with internal stakeholders and cross-functional teams to understand requirements, solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidates should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidates should be an effective communicator capable of independently driving issues to resolution, communicating insights to non-technical audiences and documenting the artifacts. This is a high impact role with goals that directly impacts the bottom line of the business. Preferred candidate profile Key Deliverables: • Development of accurate and reliable workforce forecasting models. • Automate training and forecasting by deploying data and model pipelines on AWS cloud infrastructure with drift monitoring with emphasis on accuracy and speed • Building Project launch impact estimates model using tools such as of analytics, time series, probability and deep learning. • Reduce MAPE (forecasting accuracy) across different risk functions. • Automate data ingestion for Project inputs from Excel to forecasting models • Improved data quality through rigorous cleaning and transformation processes and automating them. • Clear documentation of the code and artifacts. • Actionable insights derived from data analysis to support strategic decisions. • Experiment with latest forecasting algorithms & processes to optimize existing modeling infrastructure. Qualification Needed: • 5+ years of data scientist experience, preferably with Forecasting systems & Operational Research • 3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python) experience • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience • 3+ years of AWS cloud experience building end-to-end products deploy, monitor and update them using tools such as Amazon SageMaker pipelines and docker containers. • Experience applying theoretical models in an applied environment • Understanding of demand forecasting & impact on operational capacity planning • Knowledge of time series models and deep learning for time series are an asset.

As an Actuarial professional with experience in the Life Actuarial Domain and a minimum of 3 Actuarial papers cleared, you will be responsible for various tasks within the field. You must possess the necessary skills and qualifications to excel in this role. Candidates applying for this position should meet either of the following criteria and have successfully cleared 3 to 5 core technical actuarial exams. It is essential to have experience in valuation with US GAAP and STAT, particularly with FIA and VA. Additionally, expertise in GGY AXIS Modelling, Prophet Modelling, and audit experience with USGAAP and STAT reporting is highly desirable. Knowledge of US products such as Trad, Life, UL is also a key requirement for this role. If you are a detail-oriented actuarial professional looking to utilize your skills and knowledge in a dynamic work environment, this opportunity may be the perfect fit for you. Your expertise in the Life Actuarial Domain and technical actuarial exams will be essential in fulfilling the responsibilities associated with this role.,

Role & responsibilities We are looking for an actuarial analyst who is willing to work in the underwriting team. Preferred candidate profile Actuarial analyst

Life Insurance IFRS (International Financial Reporting Standards) Specialist key responsibilities Estimate actuarial liability for general insurance lines of business which involves data preparation, data loading to tools, analysis of liabilities and presenting results Analyse the historical claims data, identify potential issues and trends and report the findings Perform valuation of reserves through IBNR models using the data supplied for estimation Working knowledge of different loss projection methods and their applications along with the familiarity of different property and casualty lines of business Review data, methodologies, assumptions, results and benchmark against the market Understanding the forecast, payment patters, yield curves, risk adjustments, claims, premiums, expenses, tax and other parameters used as a part of the establishing the Balance sheet position and Profit/Loss statement as a part of IFRS17 regulatory requirement Liability of Incurred Claims (LIC) and Liability of Remaining Coverage (LRC) calculations using the PAA or GMM approach PAA Eligibility testing to finalise the methodology for calculating the liability for the group of contracts Onerous testing to identify the onerousness for estimating the Loss Component (LC) Calculating the LC and Contractual Service Margin (CSM) release over the period of the contract IFRS17 (or Solvency II) Actuarial Liability estimation for general insurance lines of business which involves data preparation, data loading to tools, analysis of liabilities and presenting results to relevant teams Maintain strong focus in finishing Actuarial exams along with developing a strong subject matter experience Knowledge of Aptitude (IFRS17 Financial reporting tool), ResQ or other reserving software are good to have, but not must criteria Stay informed of current business/economic developments relevant to the industry We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. To qualify for the role, you must have Good experience in the General Insurance industry, either within a consulting firm or an Insurer or an organisation providing Insurance services (such as reserving, IFRS17 and Solvency II technical provision) Ability to multi-task and flexible work attitude packed with good analytical skills Proficiency in MS-Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus