Senior Quantitative Developer

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Job Description:

** Position Description**:

Develops analytical solutions and performs alpha research using probability, linear regression, and time series data analysis. Supports investment needs and develops new solutions using analytical and quantitative concepts. Adds scale, rigor, and repeatability to quantitative research using full-stack software development methodologies. Executes programming deliverables using R, Java, SQL, and Linux. Participates in full stack development projects on the frontend (User Interfaces (UIs)) and backend (Application Programming Interfaces (APIs)), using Python, R, and SQL.

Develops new models and products to enable organizational advantages in the marketplace, using statistics, econometrics, and quantitative techniques or methods.
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* Primary Responsibilities:

*** Develops analytical solutions.
* Develops and monitors portfolio personalization tools and efforts.
* Enables users to run customized portfolio optimizations based on personal inputs.
* Ensures all coding test cases are properly defined.
* Reviews and ensures code format and quality satisfy the general engineering standard, and code documentation are sufficient.
* Builds high quality, robust, and efficient analytical solutions to improve investment processes.
* Analyzes and interprets statistical data to identify differences in relationships among sources of information.
* Evaluates technical data to determine the effect on designs or plans.
* Identifies relationships and trends in data to determine effects on research results.
* Develops and implements a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
* Applies data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
** Education and Experience**:

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.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.
** Skills and Knowledge**:

Candidate must also possess:
* Demonstrated Expertise (“DE”) developing analytical solutions using DBeaver, Jupyter Lab, and Tableau; developing models for multi-asset class products 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).
* DE developing enterprise applications using SQL, Python (Num Py, Pandas, Sci Py, Stats models, 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, Git Hub, Gitlab, or Bitbucket).
* DE developing and implementing working quantitative models with research and technology teams, using Python, R, or SQL; extracting data from vendors -- Bloomberg, Data Stream, Morningstar, Fact Set, or Concord; designing and optimizing pipelines with Active Batch, Auto Sys (JIL), or Airflow (YAML) to process data in Snowflake, No

SQL, and Oracle SQL or SQL Server; and constructing and optimizing multi-step…