Quant Developer

Dataintellect

New York (NY)

Hybrid

USD 150,000 - 230,000

Full time

5 days ago
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Benefits offered by this job

Hybrid & flexible
Global offices
Learning & development
Career progression
Healthcare

Job summary

Data Intellect is seeking a Senior Quant Developer to join a growing Risk Technology team. You will design, implement, and productionise quantitative models and analytics for risk management and portfolio valuation, collaborating with engineering and risk teams to modernise the platform.

With advanced degrees preferred, you will contribute to hedging, portfolio optimisation, and cross-asset analytics while strengthening production-ready capabilities and scalable solutions across the enterprise.

Qualifications

  • Advanced degree in a quantitative discipline (Master's or PhD preferred).
  • Strong analytical and mathematical background; proven experience developing quantitative models.
  • Significant industry experience in capital markets, risk management, or quantitative development.
  • Ability to translate business requirements into robust quantitative solutions.
  • Strong communication and collaboration with both quantitative and engineering teams.

Responsibilities

  • Design, develop, and implement quantitative models and analytics for risk management and portfolio valuation.
  • Build risk, hedging, and portfolio optimisation tools and analytics.
  • Collaborate with Core Engineering to deploy models into production platforms.
  • Help modernise risk technology architecture and analytics capabilities.
  • Translate business requirements into robust quantitative solutions.
  • Validate and enhance risk methodologies for accuracy and performance.
  • Support evolution of risk metrics across asset classes.
  • Collaborate with Risk, Technology, and Front Office stakeholders.

Skills

Analytical background
Quantitative analytics production
Capital markets experience
Model design & implementation
Strong communication

Education

Master's degree or PhD in a quantitative field
Financial Mathematics
Quantitative Finance
Mathematics
Statistics
Physics
Engineering

Tools

C#
Java
C++
kdb+
Large-scale systems

Job description

We are seeking an experienced Senior Quant Developer to join a growing Risk Technology team responsible for modernising and enhancing a critical risk management platform. The team is focused on expanding analytical capabilities, improving system stability and delivering sophisticated risk and portfolio analytics used across the business.

This is an excellent opportunity for a quantitative professional who enjoys developing practical analytical solutions to complex capital markets challenges while working closely with engineering teams to bring those solutions into production.

Key Responsibilities
  • Design, develop, and implement quantitative models and analytics used within risk management and portfolio valuation systems.
  • Build sophisticated risk, hedging, and portfolio optimisation tools, including analytics related to position management, hedge effectiveness, and optimal hedge sizing.
  • Work closely with Core Engineering teams to integrate quantitative models into scalable production platforms.
  • Contribute to the modernisation of the firm's risk technology architecture and analytical capabilities.
  • Translate business requirements into robust quantitative solutions.
  • Validate and enhance existing risk methodologies, ensuring accuracy, performance, and practical applicability.
  • Support the evolution of risk metrics and portfolio analytics across multiple asset classes.
  • Collaborate with stakeholders across Risk, Technology, and Front Office functions.

The successful candidate will be a senior quantitative professional who combines strong mathematical expertise with practical experience solving real-world capital markets problems. You will be comfortable working alongside software engineers, contributing quantitative insight while helping shape the next generation of risk technology capabilities.

You will have a track record of delivering impactful analytics in production environments and be able to quickly contribute to the ongoing transformation of a critical enterprise risk platform.

Advanced degree (Master's or PhD preferred) in a quantitative discipline such as:
  • 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.
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.

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