Sr Python Software Engineer
Randstad Digital AmericasAbout the role
Job Summary
Responsible for designing and building scalable, low-latency Python-based systems supporting front-office Short End Trading front to back systems
Ensures robust handling of trade lifecycle, validation, and downstream system integration (Risk, Finance, Ops)
Implements strong engineering practices to prevent data inconsistencies, trade capture errors, and lifecycle breaks
Addresses scalability challenges through well-architected services, efficient data models, and event-driven design
Acts as a key engineering link across Trading, Risk, Finance, and technology teams ensuring seamless data flow and system integration
Enables high-quality, predictable delivery supporting GFF growth, faster product onboarding, and reduced execution risk
location: Jersey City, New Jersey
job type: Contract
salary: $57.78 - 67.78 per hour
work hours: 8am to 5pm
education: Bachelors
Responsibilities
Degrees in any of the following:
Computer Science, Computational Finance, Financial Mathematics, Computer Science, Applied Mathematics / Statistics, Financial Engineering
Responsible for designing and building scalable, low-latency Python-based systems supporting front-office Short End Trading front to back systems
Ensures robust handling of trade lifecycle, validation, and downstream system integration (Risk, Finance, Ops)
Implements strong engineering practices to prevent data inconsistencies, trade capture errors, and lifecycle breaks
Addresses scalability challenges through well-architected services, efficient data models, and event-driven design
Acts as a key engineering link across Trading, Risk, Finance, and technology teams ensuring seamless data flow and system integration
Enables high-quality, predictable delivery supporting GFF growth, faster product onboarding, and reduced execution risk
Qualifications
Python / ReactJS / Functional Programming
Strong domain expertise in Global Markets, with deep understanding of trade lifecycle including capture, margining, collateral management, lifecycle events, and settlement flows
Proven hands-on experience in end-to-end development using Python, covering design, development, testing, deployment, and production support
Strong application of object-oriented programming (OOPS) principles with focus on modular, scalable, and maintainable architecture
Experience designing and implementing object-based data models and working with object-oriented / NoSQL / distributed databases for trade, position, pricing, and risk data
Hands-on experience building front-office trade capture systems (Repo, TRS, SFT), including real-time trade ingestion, validation, enrichment, and processing
Strong understanding of system integration patterns including APIs, messaging, and event-driven architectures across FO, Risk, Finance, and Ops systems
Experience implementing data quality controls, reconciliation frameworks, auditability, and lineage for downstream Risk, PL, and Finance accuracy
Prior experience within GFF / FICC environments, with understanding of products, workflows, and operating models
Experience building high-performance, low-latency systems with focus on scalability, concurrency, caching, and distributed processing
Strong architectural and design skills with ability to build extensible, reusable, and loosely coupled systems
Ability to translate business requirements from Trading, Risk, and Operations into scalable technical solutions
Strong focus on automated testing (unit, integration, regression) and CI/CD pipeline implementation
Experience with large-scale platform buildouts, modernization, or re-platforming initiatives in active trading environments
Skills
trading systems,analytics platforms,data analysis,Python,Quartz,Debugging,troubleshooting,analytical solutions,calculations,Corporate Bonds,Fixed Income products,Interest Rate Derivatives,financing,finance,financial products,market data,investigation,Investigating,Quantitative Risk,Risk Analytics,Risk,Root cause analysis,stress testing,risk technology,Total Return Swaps
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
Responsibilities
- Responsible for designing and building scalable, low-latency Python-based systems supporting front-office Short End Trading front to back systems
- Ensures robust handling of trade lifecycle, validation, and downstream system integration (Risk, Finance, Ops)
- Implements strong engineering practices to prevent data inconsistencies, trade capture errors, and lifecycle breaks
- Addresses scalability challenges through well-architected services, efficient data models, and event-driven design
- Acts as a key engineering link across Trading, Risk, Finance, and technology teams ensuring seamless data flow and system integration
- Enables high-quality, predictable delivery supporting GFF growth, faster product onboarding, and reduced execution risk
Qualifications
- Python / ReactJS / Functional Programming
- Strong domain expertise in Global Markets, with deep understanding of trade lifecycle including capture, margining, collateral management, lifecycle events, and settlement flows
- Proven hands-on experience in end-to-end development using Python, covering design, development, testing, deployment, and production support
- Strong application of object-oriented programming (OOPS) principles with focus on modular, scalable, and maintainable architecture
- Experience designing and implementing object-based data models and working with object-oriented / NoSQL / distributed databases for trade, position, pricing, and risk data
- Hands-on experience building front-office trade capture systems (Repo, TRS, SFT), including real-time trade ingestion, validation, enrichment, and processing
- Strong understanding of system integration patterns including APIs, messaging, and event-driven architectures across FO, Risk, Finance, and Ops systems
- Experience implementing data quality controls, reconciliation frameworks, auditability, and lineage for downstream Risk, PL, and Finance accuracy
Benefits
- medical, prescription, dental, vision, AD&D, and life insurance offerings
- short-term disability
- 401K plan
Skills mentioned
About Randstad Digital Americas
Randstad Digital is a trusted digital enablement partner that facilitates accelerated transformation for businesses by providing global talent, capacity, and solutions across specialized domains. Our talent solutions allow you to seamlessly scale your team while connecting you with skilled professionals around the world who align with your chosen technologies. Our focus lies in managed solutions, and we empower businesses to move at speed and achieve goals efficiently. We support four service lines including customer experience, digital and product engineering, data and analytics, and cloud transformation in addition to three engagement models including talent services, global talent centers, and managed solution capabilities. Randstad Digital was announced on August 30, 2023, under the umbrella of Randstad, the world’s largest talent company and a partner of choice to clients. Randstad has a deep understanding of the labor market and helps clients to create the high-quality, diverse, and agile workforces they need to succeed. Our 46,000 employees around the world make a positive impact on society by helping people to realize their true potential throughout their working life. Randstad was founded in 1960 and is headquartered in Diemen, the Netherlands. In 2022, in our 39 markets, we helped more than 2 million people find a job that feels good and advised over 230,000 clients on their talent needs. We generated revenue of €27.6 billion. Randstad N.V. is listed on the Euronext Amsterdam. For more information, see www.randstaddigital.com.
H-1B sponsorship history
Historical employer filing data was found for Randstad Digital Americas. The employer record includes 3,623 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.