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      Portfolio Analytics Analyst — Python & SQL Specialist

      Bain CapitalBoston, MA

      ~ 33 min Onsite

      1491 Python jobs in Beverly, MA

      New, Posted 5 hours ago
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      Private Markets Quant Researcher - Hybrid (Boston)

      Fynetra

      Boston, MA 02115

      Hybrid~ 33 min

      • Strong programming skills in Python and SQL
      • 3+ years of quantitative finance experience
      SmartExplore AI is experimental.
      Staff Electrical Test Engineer - Atlas Compute and Sensing

      Boston Dynamics

      Waltham, MA 02453

      $116,000-$160,000/yr
      ~ 42 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

      • Embedded Systems Knowledge: Knowledge in a broad range of electronics including power and high speed communications
      • Linux & Networking: Good Proficiency with Linux command line and computer networking concepts
      • Embedded Test Knowledge: Knowledge of circuit board DfX and manufacturing test best practices
      • Test Automation: Competency with Python, LabView, and/or MATLAB
      • BS or MS in Electrical Engineering or related field
      • Hands-on Experience: 5+ years of proficiency / experience testing and troubleshooting electronics with standard test equipment
      SmartExplore AI is experimental.
      Senior Quantitative Developer

      Soteria Reinsurance

      Boston, MA 02115

      $158,100-$168,100/yr
      ~ 33 min OnsiteRetirement Benefit

      • DE completing the software development lifecycle (SDLC) using OS, I/O, and network (MobaXterm/PuTTY); developing solutions in VS Code, PyCharm, and Docker; managing application versions and ensuring data quality in Prod, User Acceptance Testing (UAT), and Sandbox; and performing Application Lifecycle Management (ALM), package management (using JFrog Artifactory), configuration management, and implementing webhooks.
      • Developing models for multi-asset class products using Python, R, or SQL;
      • Salary: $158,100.00 - $168,100.00/year.
      • Demonstrated Expertise (“DE” developing analytical solutions using DBeaver, JupyterLab, and Tableau;
      • Or, alternatively, Master's degree in Quantitative and Computational Finance, Computer Science, Accounting, Financial Mathematics, Actuarial Science, Statistics, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Quantitative Developer (or closely related occupation) developing and deploying quantitative models and analytical solutions within a financial services environment, using Python, R, or SQL.
      • DE developing and implementing working quantitative models with research and technology teams, using Python, R, or SQL; extracting data from vendors -- Bloomberg, DataStream, Morningstar, FactSet, or Concord; designing and optimizing pipelines with ActiveBatch, AutoSys (JIL), or Airflow (YAML) to process data in Snowflake, NoSQL, and Oracle SQL or SQL Server; and constructing and optimizing multi-step processes with Amazon Web Services (AWS) resources.
      • DE developing enterprise applications using SQL, Python (NumPy, Pandas, SciPy, Statsmodels, Scikit-learn, Matplotlib, and Plotly), or R (Dplyr, Lubridate, Tidyverse, and Ggplot2); developing, testing, and deploying production systems using Continuous Integration and Continuous Deployment (CI/CD) protocols; building Web applications using Python or R; and implementing best practices in using version control (Git, GitHub, Gitlab, or Bitbucket).
      • Bachelor's degree in Quantitative and Computational Finance, Computer Science, Accounting, Financial Mathematics, Actuarial Science, Statistics, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Quantitative Developer (or closely related occupation) developing and deploying quantitative models and analytical solutions within a financial services environment, using Python, R, or SQL.
      • Implementing and deploying portfolio construction methodologies using Python or R; and developing applications using statistical models, quantitative methods, Machine Learning (ML), and optimization tools (CVXPY, Axioma, or CPLEX).
      SmartExplore AI is experimental.

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