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Supports product and pricing decisions, working closely with analytics, catastrophe management, countrywide actuarial, state management, and partner management teams. Code Based Language Experience: Experience with Python, R, SQL and SQL Server Management Studio is preferred.
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The “GIA and VA Asset Modeling & Development” team of Quant R&D has primary responsibilities for modeling all of the GIA’s assets, ensuring and maintaining critical Portfolio Management dependent operations for the GIA and Variable Annuity programs, and generating ALM pricing and risk analytics for all of Quantitative Portfolio Management’s hedging programs.
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In addition, his/her core responsibilities also include PBPK modeling to integrate preclinical in vitro data for absorption and drug-drug interaction predictions. In this role the qualified candidate will act as a lead preclinical PKPD modeling expert in interdisciplinary teams to support the drug discovery and development process by applying his/her knowledge and technical expertise to quantitatively characterize the pharmacokinetics, pharmacodynamics, and biomarker (PK/PD/Biomarker) properties of drug candidates.
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Data Quality Management. Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques. Extracts data using a variety of a programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms.
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KCC professionals are globally recognized experts in catastrophe modeling and risk management. Experience in property insurance or catastrophe modeling industry a plus.
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The person will work directly with stakeholders across - ESG Investments, ESG Product Strategy, ESG Data and Operations, Client, Product and Regulatory Reporting, and Enterprise Risk Management to understand their data and reporting requirements and to translate requirements into functional specifications for technology partners building/ enhancing IT solutions for ESG reporting.
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The successful candidate will join the Model Risk Management and Validation Group (MRM&V). Some job boards have started using jobseeker-reported data to estimate salary ranges for roles.
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Information derived from our SAR images helps customers make data-driven decisions to address time-critical challenges in various sectors, such as maritime, disaster management, insurance, and finance.
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EDM Council DCAM Certified Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Certified Data Management Professional (CDMP) Data governance and data management experience, including ETL solutions, data catalogs, and data quality/profiling tools, including tools such as Microsoft Purview, Collibra, Alation, and Informatica.
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Deep previous experience in the investment management industry and common applicable data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices.
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3 years of data engineering, data management, data transformation and data manipulation experience using Apache Spark, Hive and Hadoop; Discover creative ways to source and use data to support modeling efforts utilizing structured and unstructured data and big data technologies.
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Implement concepts of Big Data (Hadoop) ecosystem such as YARN, HDFS, HBase, Zookeeper, Spark, and Hive Accountable for storage, performance tuning, and volume management of Hadoop clusters.
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The Expertise and Skills You Bring10+ years of experience working in one or more of these areas: structured finance, securitization, collateralized lending or Delta One product development, liquidity and trading preferably in asset management and/or sell-side investment banking or trading.
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Innovating and finding creative ways to support modeling efforts, applying structured and unstructured data Providing thought leadership and drive innovative solutions that influence how data insights are delivered to the client throughout John Hancock operations.
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We are looking for an experienced data engineer/analyst to support end-to-end data analytics projects for the divisional marketing team. Leverage data integrations using systems such as AWS Athena, Redshift, Cognos, SharePoint and Power BI Services among other technologies.
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data management catastrophe modeling jobs Title: analyst in Boston, Anoka, Minnesota
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