Fidelity Bank · 2 weeks ago
Senior Quantitative Developer
Fidelity Bank is seeking a Senior Quantitative Developer to build high quality analytical solutions that enhance internal investment processes. The role involves programming deliverables using various languages and applying sophisticated analytics to support investment needs.
BankingBitcoinCustomer ServiceFinancial ServicesInsuranceWealth Management
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 information
Evaluates technical data to determine effect on designs or plans
Identifies relationships and trends in data to determine effects on research results
Develops and implements complex techniques or analytics applications to transform raw data using data-Oriented Programming languages and visualization software
Provides high level technical support to production applications to ensure their stability, performance, and reliability
Qualification
Required
Bachelor's degree in Mathematical Finance and Financial Technology, Engineering, Statistics, Mathematics, 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 software solutions (risk management, portfolio construction, performance analysis, or alpha research) in a financial services environment, using Python, Python data libraries, or Relevel concepts
Or, alternatively, Master's degree in Mathematical Finance and Financial Technology, Engineering, Statistics, Mathematics, 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 software solutions (risk management, portfolio construction, performance analysis, or alpha research) in a financial services environment, using Python, Python data libraries, or Relevel concepts
Demonstrated Expertise (“DE”) supporting quant researchers, trading desks, and performance and risk analysts by developing quantitative software, using Python, Shell Scripting, Git, or SQL; accessing database tables via SQL queries, using data from financial data vendors (Bloomberg, MorningStar, FactSet, and Bara) in financial calculations; and applying financial methodologies (Linear Regression, Time Series Analysis or Monte-Carlo Simulation) in the development of applications, subsystems, services, or scripts, to support and enhance portfolio risk analytics
DE supporting quantitative software development using quantitative concepts and valuation techniques applicable to financial instruments (bonds, stocks, mutual funds, and Exchange-Traded Fund (ETFs)); and categorizing financial instruments based on their characteristics to improve portfolio performance and streamline risk management processes, using Python and SQL to develop risk management algorithms, automate data analysis, and generate comprehensive risk reports
DE supporting portfolio managers by developing quantitative models and performance reports using Python, R, Shell, GitHub, SQL, and Tableau; enhancing model optimization process by supporting multiple optimizers (Cplex, Gurobi, and Axioma) for institutional clients; and applying financial concepts (alpha distribution, returns attribution, and risk and turnover decomposition) when developing scripts to support and improve post model analytic reports
DE automating the build and release of quantitative software applications using version control tools (SVN, Git, or GitHub), defect tracking tools (Jira and Datadog), Jenkins, Amazon Web Services (AWS), and Autosys, to perform Continuous Integration/Continuous Deployment (CI/CD); and performing application testing, troubleshooting, and debugging to validate data quality for trading platforms, using Docker, Pycharm Debugger, Visual Studio Debugger, R, and SQL
Company
Fidelity Bank
Fidelity Bank is a commercial bank providing services financial sercvices.
Funding
Current Stage
Late StageTotal Funding
unknown2018-12-17Acquired
2014-09-01Private Equity
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