Fidelity Bank · 3 weeks ago
Senior Quantitative Developer
Jersey City, NJ
Full-time
Onsite
Senior Level, Lead/Staff
$97K/yr - $185K/yr
3+ years expFidelity Bank is seeking a highly motivated Principal Quantitative Developer to join their Quantitative Research & Investing Technology team. This role involves supporting researchers in developing systematic investment strategies and delivering analytical software solutions to enhance investment processes.
BankingBitcoinCustomer ServiceFinancial ServicesInsuranceWealth Management
Responsibilities
Contribute to a dynamic and fast-paced quantitative software development team supporting researchers in prototyping and delivering new systematic investment strategies
Partner with quantitative analysts, researchers in the investment teams on various projects including portfolio construction, risk management, and alpha research
Build high quality, robust, and efficient analytical software solutions that will be used to improve investment processes
Analyze and design systems to implement quantitative models for systematic financial investments using R and Python
Develop time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms to build investment strategies
Lead the implementation of a research project through the entire software development lifecycle using a full-stack implementation
Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace
Qualification
Required
A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and five (5) years of experience as a Senior Quant Developer or similar role
Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by three (3) years of experience as a Quantitative Development or similar role
This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques
Good understanding and implementation of software excellence concepts (Reliability, Extendibility, Resiliency, Flexibility, Pluggability, Intuitive Problem Solving, Risk mitigation, Technical debt, Scope, estimation, quality, CI/CD, Unit testing, Functional testing, Load testing, Parallel Processing, Resource Synchronization, Performance, Monitoring, Alerts, Logging, Tracing, Observability, Supportability etc.)
Expert in Python with experience across the development stack (full stack)
Demonstrated knowledge of mathematics, statistics, and quantitative finance
Exposure to object-oriented programming (OOP) and design patterns
Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
Skilled in Batch and API technologies: such as batch scheduling (using Autosys and Airflow) and create REST APIs (using FAST API and Flask) leveraging AWS resources including Lambda, S3, EKS and EC2
Experience implementing CI/CD and DevOps best practices. Perform Continuous Integration (CI) and Continuous Deployment (CD) pipelines (using Linux and Jenkins), code versioning using GitHub
Reviews and ensures code format and quality satisfy the general engineering standard, and code documentations are sufficient
Analyze and design systems to implement quantitative models for systematic financial investments using R and Python. This includes developing time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms to build investment strategies
A creative problem solver and a curiosity fueled by keeping up with advanced methodologies and industry trends, especially in the finance community
Domain knowledge in either equities, fixed income or alternative asset classes
Deep understanding of quantitative techniques and methods, statistics and econometrics – including probability, linear regression and time series data analysis
Thoughtfully apply advanced analytics and quantitative concepts to support investment needs and develop new solutions
Lead the implementation of a research project through the entire software development lifecycle using a full-stack implementation
Strong presentation and communication skills, with a knack for engaging with quant researchers and investment professionals
Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace
Preferred
Progress towards CFA (or equivalent) a plus
Benefits
Comprehensive health care coverage and emotional well-being support
Market-leading retirement
Generous paid time off and parental leave
Charitable giving employee match program
Educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career
Company
Fidelity Bank
Fidelity Bank is a commercial bank providing services financial sercvices.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2018-12-17Acquired
2014-09-01Private Equity
Company data provided by crunchbase