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Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git. Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Develop, maintain, and grow automated processes leveraging Excel, VBA, Tableau, Power BI. · Develop complex financial Asset Liability Management (ALM) models in Empyrean/ Excel/SQL to be used as the primary source for Asset/Liability Management program.
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Strong working knowledge of Python, SQL, R, Excel/VBA, MATLAB. Strong working knowledge of Python, SQL, R, Excel/VBA, MATLAB. 5+ years of industry experience as a fixed income quantitative analyst, and preferably 3+ years as quant in the municipal bond market.
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Strong understanding of Microsoft Excel, PowerPoint and Word required (including VBA macro skills and knowledge of data arrays and pivot tables), other MS Office applications (Access), and/or SQL a plus.
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Advanced proficiency writing or interpreting Excel VBA code, JAVA or similar programming languages. Advanced level of proficiency with Microsoft Word, Microsoft Excel, and Microsoft PowerPoint, LUCID, VIZIO, or similar process flow applications.
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Strong background in financial modeling and data analysis tools (e.g., Excel, VBA, Python, or R), budgeting, and forecasting with a solid understanding of financial statements and financial analysis techniques.
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Strong programming skills in Python, SQL, Excel/VBA. C. Strong programming skills in Python, SQL, Excel/VBA. C. The Head of the Investment Strategy & Analytics team within a leading global asset manager is looking to onboard a Quantitative Developer and a Quantitative Modeler.
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Skills in computer programming such as Python, MS Excel, Excel VBA, MATLAB, mathematical optimization tools. Skills in process engineering modeling (e.g. ASPEN PLUS), CFD (e.g. ANSYS FLUENT), Life Cycle Analysis (e.g. GREET.
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Advanced Excel knowledge (Pivot Tables, Index/Match, VBA, Data Visualization) Strong financial modeling and analytical skills, with proficiency in MS Excel. Every day we work to ensure that we maintain these competitive advantages and our position as a global leader in providing turnkey, battery energy storage solutions for utility-scale, commercial and industrial, and microgrid applications.
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Experience with programming languages such as SAS, SPSS, SQL, Java, Python, R, DAX (Power BI), VBA (Excel), etc. Utilize programming languages such as: SQL, Java, Python, R, DAX (Power BI), VBA (Excel), etc., to enhance data quality processes.
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Excel VBA Coding. Design, Solidworks, Mechanical, New product development, plastics injection molding, product design/development, Gd&t, Cad, Creo, 3d modeling, Mechanical engineering, Mechanical design, Project management, plastic injection, product design, engineering, plastic, fea, dfmea, 3D, dvp&r, pmp certification, fmvss, six.
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Experience with Excel VBA (Macro), SQL, Python, Power BI. Prior work experience in Investment Banking, FP&A, Strategic Finance, Accounting, Equity Research or related fields. Experience with Excel VBA (Macro), SQL, Python, Power BI.
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Strong skills with MS Excel, SAS, SQL, R, Python, VBA or other programming languages. Strong skills with MS Excel, SAS, SQL, R, Python, VBA or other programming languages. As an Actuarial Analyst , you will have unique exposure to work alongside and learn from Oliver Wyman's industry leaders while contributing to a broad range of client projects.
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