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Founded in 1998, Quantlab is a pioneer in quantitative algorithmic trading. Quantlab is a quantitative trading firm where Technology and Scientific Research are central to our business and key to our success.
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Altruist is entering an exciting phase, and we're looking for a Senior Quantitative Developer to join our quickly growing Investment Solutions team! Strong expertise in data manipulation, data visualization, statistical analysis, and optimization, ideally in Python.
$155,000 - $203,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Expert conducting quantitative analyses on large, complex data sets using modern data exploration and visualization software (e.g. Snowflake, Looker, Sigma, Tableau, Google Data Studio, PowerBI.
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5+ years of software design and development experience using Python, PySpark/Hadoop, Pandas, NumPy, SciPy, Jupyter notebook etc. Apply quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements.
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Uses quantitative and qualitative analysis to provide thought-leadership on evolving industry trends, market developments, USAA's strategic direction, regulatory environment, and macroeconomic trends for the business unit.
$120,550 - $230,400 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Python/R & SQL knowledge is critical; familiarity with MLOps concepts (Git, branching, CI/CD) desired. Bachelor’s degree in quantitative field such as Data Science, AI/ML, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science.
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Advanced working knowledge of one or more of the following quantitative programming, data analysis, database skills, numerical and statistical tools such as: Stata, VBA, R, SAS, Python, SQL, and/or MATLAB strongly preferred.
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Bachelor's degree in data science, Business Analytics, Mathematics, Economics, Engineering, Statistics, Econometrics, or other quantitative fields. Master's degree in Data Science, Business Analytics, Mathematics, Economics, Engineering, Statistics, Econometrics, or other quantitative fields preferred.
$101,800 - $124,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Candidate must have strong technical skills, and be experienced in programming languages such as Python, Matlab, and R. Experience programming in languages such as Python, Matlab, and R.
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By building and maintaining this high-performance infrastructure, Tower’s developers have helped to position the firm as a leader in the field of quantitative trading. Knowledge of any other development language, including Java, Python, Perl, Bash or Shell scripts.
$120,000 - $285,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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C# and Python Significantly contribute to software design and architecture Develop both new applications, API, and architectures and improve our existing ones in performance, capability, and reliability Mentor junior teammates Minimum Requirements Deep understanding of software development techniques and design patterns.
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Strong proficiency in Python, R, SQL, and experience with libraries/frameworks such as PyTorch, TensorFlow, and Scikit-learn. Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company.
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4 plus years of experience as an actuarial analyst or quantitative pricing analyst, or related experience; Property & Casualty experience preferred. Proficiency in Microsoft Excel, SQL, SAS, VBA, Python or R required.
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Strong programming experience in Python/R. Familiarity with SAS and with tools available in the AWS/Cloud environment. End-to-end ownership of the research and implementation of new quantitative signals and algorithms independently or with assistance and inputs from trading team.
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Expertise in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in the Python data science ecosystem. PhD in applied mathematics, computer science, physics, computational biology or other quantitative disciplines.
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