Full-Time
Quantitative Analyst/Developer
Posted on 9/11/2026
StradIT
Delivering AI-powered engineering solutions for finance
No salary listed
No H1B Sponsorship
Jersey City, NJ, USA
Hybrid
Hybrid work arrangement.
US Citizenship Required
Master's
 Quantitative Finance (1) |
|---|
- A master's degree in a quantitative discipline and at least 5 years of experience in quantitative development, database development, or financial model implementation.
- Strong programming skills in Python, including experience with NumPy, Pandas, SciPy, SQLAlchemy, pyodbc, subprocess, logging, and Snowpark.
- Advanced knowledge of SQL and relational databases, with hands-on experience in database design, stored procedure development, query optimization, and performance tuning.
- Proficiency with Linux, Git, Bitbucket, and modern software development practices.
- Experience developing, implementing, or supporting financial and quantitative models, with familiarity with financial engineering concepts and terminology.
- Strong analytical, communication, and problem-solving skills, with the ability to work independently, translate business needs into technical solutions, and bridge communication between quantitative researchers and software developers.
- Design, develop, and maintain research and prototype development platforms, including database architecture, stored procedures, query optimization, and performance tuning.
- Develop, test, deploy, and support quantitative model prototypes, analytical tools, and automated workflows; monitor daily scheduled jobs and production processes.
- Perform NSCC margin and stress testing model monitoring, performance reporting, and analysis to support risk management activities.
- Collaborate with quantitative researchers and risk teams to support model development, research initiatives, and data analysis needs.
- Translate business requirements into technical specifications and independently design, build, test, and document small-to-medium-scale projects.
- Serve as a liaison between Financial Engineering, Market Risk, Risk Technology, and application development teams, facilitating communication between business and technical stakeholders.
- Snowflake experience is strongly preferred.
StradIT provides applied AI and engineering services for the global finance industry, helping banks, asset managers, exchanges, and custodian banks implement practical, scalable technology solutions. It integrates production-grade AI into core operations through Centers of Excellence in Applied AI, Data Analytics, Cybersecurity, Cloud & Infrastructure, Automated AI Testing, and Digital Assets & Blockchain, plus a Global Capability Center to build dedicated teams while StradIT handles setup and compliance. The company focuses on creating regulated, auditable systems such as distributed ledger infrastructure, smart contracts, and tokenization with regulatory alignment for bodies like the SEC and FCA. Its goal is to help financial institutions gain a sustainable competitive advantage by improving decision-making, security, and efficiency via AI and engineering.
Company Size
N/A
Company Stage
N/A
Total Funding
N/A
Headquarters
N/A
Founded
N/A
Simplify's Take
What believers are saying
- August 2026 careers page lists 18 open roles, signaling active hiring.
- StradIT's digital-assets page cites SEC tokenization readiness, aligning with regulated market demand.
- August 2026 job posts show SDET hiring for Treasury, Fixed Income, and Risk platforms.
What critics are saying
- No public funding, customer logos, or revenue disclosures limit credibility versus larger consultancies.
- StradIT's 2026 site leans on marketing claims; bank buyers can delay vendor approval.
- If generative-AI delivery commoditizes, margins collapse and talent attrition can shrink StradIT quickly.
What makes StradIT unique
- StradIT's August 2026 site bundles applied AI, cybersecurity, data, cloud, and blockchain delivery.
- Its finance specialization targets capital markets, asset management, and mission-critical clearing workflows.
- The GCC and Sun Model promise dedicated teams with continuous execution across regions.
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Benefits
Hybrid Work Options