Quantitative Developer - 2452889

    • 2Bridge Partners
  • Stamford, CT
  • Posted 2 days ago | Updated 11 hours ago

Overview

On Site
Hybrid
$200,000 - $250,000
Full Time

Skills

Management
Quantitative Analysis
Scalability
Collaboration
Market analysis
Data
Valuation
Caching
Finance
Computer science
Mathematics
Financial services
Cost-benefit analysis
Fixed income
Bonds
OTC derivatives
Java
C#
.NET
Python
Analytics
Time series
Database
Machine Learning (ML)
Algorithms
Financial modeling

Job Details

Job Description

Job Description

2Bridge has been engaged in the search for a direct-hire Quant Developer for an innovative FinTech company. The company has secured a significant Series A funding round and is expanding its team. It is looking for a Senior Quant Developer to enhance its technological capabilities as it scales.


Role Summary:

You'll play a crucial role in developing quantitative models and algorithms vital for the companys financial products and services.


Compensation and Benefits: Our client offers Total Compensation between 250,000 and 350,000, split between a base and performance-based bonus. For the right person, there is potential for equity. They also offer a comprehensive benefits package including Medical, Dental, Vision, 401k, 24 days PTO, and all NYSE Holidays, Etc. This is as hybrid role, onsite, one day a week, in one of their offices in either NYC or Stamford.


Responsibilities:

  • Develop and enhance quantitative models and algorithms for performance and scalability.
  • Collaborate with teams to integrate quantitative solutions into broader system architectures.
  • Validate models for correctness and edge-cases.
  • Maintain market data handlers, data models, and valuation cache.
  • Stay updated with industry trends and incorporate advanced quantitative techniques as applicable.


Qualifications:

  • Bachelors or preferably an MS in Quantitative Finance, Computer Science, Mathematics, or a related field.
  • 3-5 years experience in Quantitative Development within financial services, specifically with Trade Cost Analysis in Fixed Income, Corporate Bonds, non-vanilla swaps, and other OTC Derivatives.
  • 5 years experience in Java or C#, .Net, Bonus points for expertise in Python.
  • Extensive experience with Analytics Libraries such as QuantLib, FinCad, Numerix, etc.
  • Experience with time series databases like OneTick, KDB, InfluxDB.
  • Experience with machine learning algorithms and their applications in financial modeling.


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.