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Risk Quant, DMFI Quantitative Resources

at Schonfeld

Back to all Python jobs
Schonfeld logo
Industry not specified

Risk Quant, DMFI Quantitative Resources

at Schonfeld

Mid LevelNo visa sponsorshipPython

Posted 14 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Risk Quant, DMFI Quantitative Resources**: Seeking experienced **Risk Quant** to design and deploy risk models, such as scenario stress-tests and factor-based risk decomposition, influencing a multi-billion-dollar fixed-income and macro portfolio. Own full risk analytics lifecycle, collaborate with Quant Research and Risk Management teams, manage AWS-based data pipelines, and create intuitive UIs using Dash or Excel/PyXll. Requires **MS/PhD in STEM**, **5+ years** of buy-side risk management experience, and proficiency in **Python (NumPy/Pandas/SciPy)**.

The Role

We are looking for a hands-on Quantitative Risk Quant who can both design risk models and ship production-quality tools; such as:

  • scenario and stress-testing capabilities
  • factor based risk decomposition

Your work will directly inform position sizing, hedging and drawdown management across a multi-billion-dollar fixed-income and macro portfolio.

What you’ll do

Working with the Quant Research, Risk Management and Risk Technology teams you will:

  • Own the full lifecycle of risk analytics from specification to prototyping to production release
  • Manage our data processing and calculations pipelines by leveraging our available technology stack (AWS, Prefect…)
  • Drive technical conversations with our Risk Technology team on ingestion and cleanup of risk data
  • Build lightweight UIs (Dash or Excel/PyXll) so PMs and Risk Managers can consume your analytics with zero friction
  • Document and present model assumptions, limitations and validation results and tests to our stakeholders

What you’ll bring

  • A MSc or PhD in a STEM discipline
  • 5y+ working in a financial institution preferably in a buy-side risk management context
  • Production python (NumPy/Pandas/SciPy) experience with async or reactive pipelines as a plus
  • Strong experience working with relational database management systems
  • Solid mathematics background, particularly statistics
  • Deep knowledge of interest rate derivatives and risk is a must
  • Track record of delivering projects from start to finish
  • Excellent communication skills both verbal and written
  • Great problem solver

What do we offer

  • Direct impact: your code hits production daily and drives trading decisions
  • Modern tooling: fully cloud-native stack (AWS, Prefect, Coder, Kubernetes), automated CI/CD
  • Small, elite team — high autonomy, rapid decision cycles, minimal bureaucracy

Who we are  

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

 

Risk Quant, DMFI Quantitative Resources

at Schonfeld

Back to all Python jobs
Schonfeld logo
Industry not specified

Risk Quant, DMFI Quantitative Resources

at Schonfeld

Mid LevelNo visa sponsorshipPython

Posted 14 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Risk Quant, DMFI Quantitative Resources**: Seeking experienced **Risk Quant** to design and deploy risk models, such as scenario stress-tests and factor-based risk decomposition, influencing a multi-billion-dollar fixed-income and macro portfolio. Own full risk analytics lifecycle, collaborate with Quant Research and Risk Management teams, manage AWS-based data pipelines, and create intuitive UIs using Dash or Excel/PyXll. Requires **MS/PhD in STEM**, **5+ years** of buy-side risk management experience, and proficiency in **Python (NumPy/Pandas/SciPy)**.

The Role

We are looking for a hands-on Quantitative Risk Quant who can both design risk models and ship production-quality tools; such as:

  • scenario and stress-testing capabilities
  • factor based risk decomposition

Your work will directly inform position sizing, hedging and drawdown management across a multi-billion-dollar fixed-income and macro portfolio.

What you’ll do

Working with the Quant Research, Risk Management and Risk Technology teams you will:

  • Own the full lifecycle of risk analytics from specification to prototyping to production release
  • Manage our data processing and calculations pipelines by leveraging our available technology stack (AWS, Prefect…)
  • Drive technical conversations with our Risk Technology team on ingestion and cleanup of risk data
  • Build lightweight UIs (Dash or Excel/PyXll) so PMs and Risk Managers can consume your analytics with zero friction
  • Document and present model assumptions, limitations and validation results and tests to our stakeholders

What you’ll bring

  • A MSc or PhD in a STEM discipline
  • 5y+ working in a financial institution preferably in a buy-side risk management context
  • Production python (NumPy/Pandas/SciPy) experience with async or reactive pipelines as a plus
  • Strong experience working with relational database management systems
  • Solid mathematics background, particularly statistics
  • Deep knowledge of interest rate derivatives and risk is a must
  • Track record of delivering projects from start to finish
  • Excellent communication skills both verbal and written
  • Great problem solver

What do we offer

  • Direct impact: your code hits production daily and drives trading decisions
  • Modern tooling: fully cloud-native stack (AWS, Prefect, Coder, Kubernetes), automated CI/CD
  • Small, elite team — high autonomy, rapid decision cycles, minimal bureaucracy

Who we are  

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

 

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