Lead Quantitative Software Engineer / Front-Office Quant Developer, VP

State Street

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Quick summary

Work type
On-site
Location
Boston, MAPrinceton, NJ
Salary
$120,000–$217,500 / yr
Posted
1 day ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $186k
This role $169k
$108k most similar roles pay here $232k

This role pays less than 70% of similar roles. Most pay $161,062–$211,400 — the shaded band above. At the midpoint, this role pays about $169k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 206 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 200 roles with salary data.

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At a glance

TL;DR · Lead Quantitative Software Engineer / Front-Office Quant Developer, VP

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Lead Quantitative Software Engineer / Front-Office Quant Developer, VP will join the Global Markets IT team to build an in-house XVA application from the ground up. This role involves collaborating with business quant teams to implement features for xva calculations, developing test cases and harnesses, performing algorithm backtesting, and managing runtime infrastructure. The position requires expertise in modern C++ (C++20/23), Java (17+), Python, and CUDA programming. Candidates will work with tools such as kdb+/q, SQL, Linux, Boost, QuantLib, and CI/CD pipelines. The role addresses critical counterparty risk assessment within the fixed income, rates derivatives, and algorithmic trading domains. Required technical knowledge includes stochastic calculus, Monte Carlo simulations, finite difference methods, yield curve bootstrapping, and Hull-White model calibration while handling products like interest rate swaps, swaptions, and exotic options.

Skills

C++ Java Python kdb+/q SQL Linux Boost QuantLib Nvidia CUDA OpenCL NumPy Pandas Git CI/CD Monte Carlo Simulations Finite Difference Methods Stochastic Calculus Distributed Grid Computing

What you'll do

  • Build state-of-the-art valuation models for XVA calculations using C++, Java, and Python.
  • Implement features and functionality related to counterparty risk and charges in collaboration with the business quant team.
  • Develop test cases and test harnesses to validate model implementations.
  • Perform backtesting of trading algorithms.
  • Coordinate with infrastructure teams to set up application compute environments.
  • Deploy and maintain runtime infrastructure for XVA applications.
  • Resolve technical issues and respond to user queries regarding the production environment.

What we're looking for

  • Experience with diverse technologies including C++, Java, and Python.
  • Proficiency in Modern C++ (C++20/23) and Core Java (17+).
  • Knowledge of financial products such as Fixed Income, Rates Derivatives, and Algorithmic Trading.
  • Familiarity with ancillary tools like kdb+/q, SQL, Linux, Boost, QuantLib, and CI/CD pipelines.
  • Experience with quantitative concepts including Stochastic Calculus, Monte Carlo Simulations, and Finite Difference Methods.
  • At least 15 years of experience.
  • Hands on knowledge of CUDA programming is essential.
  • Master of Science in Financial Engineering or a Bachelor of Science in Computer Science & Mathematics (preferred).

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