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Senior Quantitative Developer job in Jersey City

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Fidelity Investments jobs

Jersey City, New Jersey - NJ Fidelity Investments

Job Ref:  2093659
Employer:  Fidelity Investments
Sector:  Investment
Pensions/Retirement
Qualifications:  Unclassified
Software:  Java
Python
R
SQL
Job Type:  Full Time
Salary and Benefits:  $151,575 - $161,575 per year
Remote:  No

Location
Country:  United States
State/Province/County:  New Jersey - NJ
City:  Jersey City
Post Code:  Not specified
Map: 
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Description
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 (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.

Primary Responsibilities:

  • Develops analytical solutions.
  • Develops and monitors portfolio personalization tool 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 documentations 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 in-formation.
  • Evaluates technical data to determine effect on designs or plans.
  • Identifies relationships and trends in data to determine effects on research results.


Education and Experience:

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.

Or, alternatively, Master'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 one (1) year 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.

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise ("DE") developing quantitative models to predict real time trades for fixed-income products - using SQL (to retrieve and process real time trading data) and Python (to build up statistical features and train Machine Learning (ML) models); implementing complex risk metrics to measure market volatility and model performance; and constructing parallel calculation algorithms to speed up data preparation, model fitting, and prediction steps using Python.
  • DE building daily batch run jobs to load, process, and store data into production databases from various internal data sources in SQL; designing database tables by establishing table columns, primary/non-primary keys, and views and stored procedures using SQL; and constructing Steps of Dependency inside a data pipeline and monitoring job run status using SQL and VisualCron.
  • DE validating quantitative models by building test cases in multiple scenarios and verifying model parameters against existing documents; establishing and configuring reasonable assumptions in each testing case; and verifying model updates by running regression testing.
  • DE developing and researching portfolio risk analytic metrics on fixed income products - using Python and R; and building portfolio level assumptions on a pool of assets (correlation, covariance, volatility, and industry classification of assets) using Python.


Salary: $151,575.00 - $161,575.00/year.

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Certifications:

Category:

Information Technology

Fidelity's working model blends the best of working offsite with maximizing time together in person to meet associate and business needs. Currently, most hybrid roles require associates to work onsite all business days of one assigned week per four-week period (beginning in September 2024, the requirement will be two full assigned weeks).
ref: (2093659) 18 days ago
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