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Quant Developer
Data Intellect
New York City, USA
Full-time
Mid
Discovered 1 months ago
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Key Skills for This Role
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Full Job Posting
Technical Skills
- C# preferred.
- Strong Java or C++ candidates will also be considered.
- Sufficient programming ability to implement and maintain quantitative models in production environments.
- Experience working with large-scale financial systems is advantageous.
- Why Join Data Intellect?
- Hybrid & flexible working – balance your time between home and our global offices.
- Global opportunities – work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond.
- Continuous learning – day one access to paid training, certifications and leadership development.
- Clear progression pathways – biannual promotion cycles and monthly 1:1s to excel your career growth and development.
- Healthcare & wellbeing – provider dependent on region.
- Flexible, increasing holiday allowance – option to work bank holidays providing greater flexibility in holiday usage
- Generous referral bonuses, exciting social events and so much more – we work hard and celebrate harder.
- Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets. We build high-performance systems that power trading, risk and analytics for some of the world’s most demanding clients. Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms. We’re growing, fast!
- Fair Employment & Equal Opportunities
- We’re proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.
- Challenge Accepted. Apply now.
- Join the world’s largest kdb+ Consultancy where you’ll work with some of the biggest names in Capital Markets and continue to elevate your expertise solving complex challenges in an environment built on collaboration, knowledge sharing and continuous learning.
Qualifications
- Advanced degree (Master's or PhD preferred) in a quantitative discipline such as: Financial Mathematics Quantitative Finance Mathematics Statistics Physics Engineering
- Financial Mathematics
- Quantitative Finance
- Mathematics
- Statistics
- Physics
- Engineering
- Strong analytical and mathematical background with proven experience developing quantitative models.
- Significant industry experience within capital markets, risk management, quantitative research or quantitative development.
- Deep understanding of risk analytics, portfolio valuation and hedging methodologies.
- Ability to design and build models independently from concept through implementation.
- Strong communication skills and ability to collaborate effectively with both quantitative and engineering teams.
- Experience delivering business value quickly within complex financial environments.
- C# preferred.
- Strong Java or C++ candidates will also be considered.
- Sufficient programming ability to implement and maintain quantitative models in production environments.
- Experience working with large-scale financial systems is advantageous.
About Data Intellect
Capital Markets211 employeesFounded 2011
Specialist kdb+ and data engineering consultancy for capital markets.
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