Python Engineer - Quantitative

Jersey City, NJ, US • Posted 4 hours ago • Updated 4 hours ago
Contract W2
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Job Details

Skills

  • Financial Services
  • Jersey
  • Quantitative Research
  • Logistics
  • Front Office
  • HPC
  • Computer Science
  • Capital Market
  • Derivatives
  • Job Scheduling
  • Resource Management
  • Optimization
  • Machine Learning (ML)
  • Performance Tuning
  • Management
  • Cloud Computing
  • Amazon Web Services
  • Google Cloud
  • Google Cloud Platform
  • GRID
  • Orchestration
  • Scheduling
  • Docker
  • Kubernetes
  • C++
  • Python
  • Debugging
  • Quantitative Analysis
  • Finance
  • Pricing
  • MEAN Stack
  • Customer Service
  • Training And Development
  • SAP BASIS

Summary

Software Guidance & Assistance, Inc., (SGA), is searching for a - Python Engineer - Quantitative for a right to hire assignment with one of our premier financial services clients in Jersey City, NJ.

Responsibilities :
  • Build the end-to-end system that takes pricing models from front-office quants, deploys them onto a colossal hybrid grid, and orchestrates the massive-scale calculation of risk P&Ls.
  • Engineer a platform that is incredibly powerful, flexible, and efficient, enabling the firm to run complex scenario-based valuations on demand.
  • Build the bridge between quantitative research and production-scale execution. The platform you create will directly determine the speed, accuracy, and sophistication of our risk calculations, empowering our business to navigate complex markets with confidence.
  • Take Architect and build a next-generation, hybrid-cloud platform for running quantitative pricing calculations at massive scale.
  • Design a sophisticated job orchestration and scheduling system that handles dynamic prioritization, efficient task packing, and resource optimization across the grid.
  • Engineer a robust, event-driven framework for managing the entire job lifecycle, including handling notifications for job completion and managing the flow of result data from the grid.
  • Develop a comprehensive error-handling and resiliency strategy to gracefully manage failures in a large-scale distributed environment.
  • Pioneer the development of an intelligent monitoring platform using ML to perform anomaly detection, predict job failures, and optimize grid performance.
  • Engineer the secure and efficient data logistics required to move terabytes of market and trade data between on-premise systems and public cloud environments.
  • Partner closely with front-office quants to onboard, version, and optimize their C++ and Python pricing models for distributed computation
Required Skills:
  • 10+ years of professional experience with a proven track record of designing and building applications for massive-scale, high-performance compute (HPC) grids.
  • A degree in a highly technical field such as Computer Science or Quantitative Finance.
  • Deep domain knowledge in Capital Markets, financial derivatives, and a strong understanding of financial regulations like FRTB.
  • Expert-level experience with job scheduling, resource management, and workload optimization techniques (task packing, prioritization) on large-scale grids.
  • Deep expertise in building event-driven architectures and handling asynchronous notifications and replies from distributed systems.
  • Proven experience designing and building intelligent monitoring tools, ideally leveraging ML for anomaly detection and performance tuning.
  • Expert-level experience managing workloads in a hybrid cloud environment, with deep knowledge of at least one major public cloud (AWS, Google Cloud Platform) and on-premise grid technologies.
  • Deep expertise in containerization, orchestration, and scheduling technologies (Docker, Kubernetes).
  • Strong programming skills in languages common to high-performance and quantitative computing, such as C++ and Python.
  • Proven ability to debug complex pricing and model-related issues by partnering directly with quantitative analysts.
  • Prior experience in a similar role within the financial industry, specifically working on quantitative pricing platforms, large-scale risk calculations, or XVA grids.
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy
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.
  • Dice Id: sgainc
  • Position Id: 26-02748
  • Posted 4 hours ago

Company Info

About Software Guidance & Assistance

Founded in 1981, SGA is a technology and resource solutions provider with a national footprint and headquartered in the shadow of Wall Street. We’re a certified women-owned business. We provide contingent staffing, direct placement, and professional and managed services to transform businesses and evolve careers. We’re small enough to tailor our services to each client and big enough to deliver for some of the world’s largest employers. Our professionals are experts in areas such as IT, finance, accounting, risk, and clinical.

SGA provides contingent staffing, direct placement, and professional and managed services nationwide for Fortune 500 companies, mid-size businesses and select startups.

Our core skillsets include all areas of technology – business & data analysis, cyber & network security, database administration, development & architecture, infrastructure, program & project management, quality assurance & testing. We also deliver talent across professional business functions such as finance, accounting, risk, and clinical.

Our Professional & Managed Services team delivers IT projects through onshore, offshore and hybrid delivery models. We develop software products, modernize applications, add features, and integrate and maintain systems. Our scope covers, among others, complex application suites, data management and visualizations, machine learning and mobile applications.

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