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Bachelor’s degree (or foreign education equivalent) in Quantitative and Computational Finance, Computer Science, Mathematics, Accounting, Mathematics in Finance, Actuarial Science, Statistics, or a closely related field and three (3) years of experience as a Senior Quantitative Developer (or closely related occupation) developing quantitative, statistical, or financial engineering models and software solutions using Python, R , and SQL.
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Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc. Strong preference for those who also know Python. Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.
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Significant hands-on Data and programming experience using SQL, VBA, Python, R or some combination thereof. Hugely successful multi-strat Hedge Fund manages nearly $80 billion across a range of Credit & Real Estate strategies, now seeks to hire a quantitative risk manager for risk reporting, risk analytics and data management of one or more credit and/or arb strategies, including credit solutions, structured credit, middle market lending, convertible arbitrage, and risk arbitrage.
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You know the importance of writing tests and QA. Familiarity with MySQL, AWS, Python and Go is a plus. We provide unlimited vacation days and we encourage each other to actually make use of them.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Proven success with a programing background in one or more programming languages, including: Q/KDB, Python, R. Primary focus will be on the stressier parts of high yield and loan markets in leveraged credit.
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Track record of successfully:Managing and delivering on multiple projects at a time Being hands on with data and distilling the key actionable insights Managing client relationships Bonus points: Experience with SQL, R or Python and statistical analysis packages (SPSS, JMP, Tableau.
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7+ years of programming experience with Python or R, SQL, Tableau (or similar visualization tools). 7+ years of programming experience with Python or R, SQL, Tableau (or similar visualization tools.
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Strong programming background (SQL, Python, R, SAS, etc.) Minimum of 10 years hands-on data experience working as business analyst, data analyst, data engineer, or data modeler. Experience with cloud implementations (AWS, Redshift, Snowflake) is a plus.
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The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
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Knowledgeable in SQL, R, and Python, along with visualisation tools such as Tableau, Looker or QuickSight. Our technology powers creative decision-making at some of the biggest brands in the world, including Google, Unilever, Pepsi, Bayer, Mondelez, Heineken, and more.
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Curinos is currently seeking a VP of Marketing Analytics Sales to support the rapid growth of our marketing solutions practice. Strong storytelling, data visualization, and presentation skills. Collect and document competitive intelligence and provide feedback to product, sales, and marketing functions.
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Experience in quantitative research, including the use of Python/R/SQL or other programming skills to conduct data analysis. Experience in quantitative research, including the use of Python/R/SQL or other programming skills to conduct data analysis.
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Ensuring all market data that feeds down from Bloomberg will be properly ingested into Summit under the new intermediate Market Data Hub. Converting files by python from parquet to psv to perform complete regression analysis of all data sets in Summit v6.1.
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Advanced programming skills in modern languages including Python, R, C#, Java, Scala and Go (Python required) Experience with a range of machine learning related frameworks and libraries, such as Python scikit-learn, Pandas, StatsModels, Pandas, Keras, TensorFlow.
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