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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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Experience with liquidity stress testing, liquidity risk management, interest rate risk management, capital management and/or asset-liability management within largeplex financial organizations preferred.
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Collaborates with other departments such as finance, accounting, business intelligence, data management and operations to implement asset liability management strategies effectively.
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Familiarity with Agile software engineering practices Intellectual curiosity for the world of quantitative research and attention to detailsPreferred Skills:Experience with Python/SQL/R/SAS/C#Experience with distributed data processing ecosystems (Spark, DASK etc.
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Proficient in project software such as SAS/SQL, Python/PySpark, Snowflake, R, Databricks CMS cloud environments. Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Prior experience with Asset Liability Management, Liquidity Risk, or Market Risk (Term structure, prepayment, risk metrics of fixed income, derivative hedging, etc.) 5+ years of work experience in quantitative modeling or validation of Asset Liability Management (ALM), market risk or liquidity risk models.
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Experience integrating Business Intelligence applications like Qlik Sense, Tableau, or PowerBI. Experience with analytics tools like SAS, R, Python, and other advanced statistical software.
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1+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Mid Level) 3+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Senior.
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Causal Machine Learning, Causal Inference, Causal Discovery, Counterfactual, Causal Deep Learning, Causal Structure, Structure Learning, Structure Equation Model, SEM, Explainable AI, XAI, Data Science, Deep Learning, R, Python, Julia, Bioinformatics, Multiomics, Integrative Analysis, Medicine, Actigraphy, Pregnancy, Precision Medicine, Personalized Medicine, EHR, Electronic Health Records.
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ESSENTIAL DUTIES AND RESPONSIBILITIES:Supports assembly of the monthly Asset Liability Committee (ALCO) deck. This position also performs, develops, and maintains key procedures, processes, and models necessary to help the Asset Liability Committee (ALCO) monitor and manage the bank’s balance sheet risk.
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We provide a comprehensive portfolio of commercial property casualty insurance, automobile liability and workers’ compensation, along with claim services, providing expertise to meet the unique business needs of our customers.
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The Quantitative Portfolio Management (QPM) team has primary focus in asset-liability management (ALM), product pricing, and the formulation and execution of quantitative strategies that enhance policyholder surplus and mitigate unwanted risks in the portfolio.
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Skills in data analysis, advanced Excel, VBA, PowerPoint, and SQL. Experience with Python, R, MATLAB, C/C#/C. Formulate short and long-term market views and forecast power, fuel, and emissions prices to optimize asset trading and hedging decisions.
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MAJOR JOB RESPONSIBILITIES Is responsible for performing interest rate risk simulations, capital and liquidity stress testing and most likely income projections utilizing the Asset Liability Management Model among other models.
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Write computer programs using statistical software such as SAS, Stata, R, Python and Matlab. Programming experience, preferably in SAS, STATA, R, Python and/or Matlab. computer science, machine learning, malware, matlab, python, radar, schematic, software engineer.
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