Front-Office Quant Analyst: Nonlinear Pricing & Risk

Deutsche Bank AG

New York (NY)

Hybrid

USD 110,000 - 115,000

Full time

7 days ago
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Benefits offered by this job

Hybrid working model
Health & wellbeing benefits
Retirement savings plan
Parental leave
Educational resources

Job summary

Deutsche Bank AG in New York is seeking a highly skilled Equity Financing Non-Linear Analyst to join a front-office Quant team. The role focuses on real-time pricing, risk analytics, and strategic decision-making for electronic liquidity provision.

You will partner with traders to implement pricing models, hedging strategies, and data-driven insights that influence trade execution and portfolio performance. A strong quantitative background and postgraduate degree are required.

Qualifications

  • Post-graduate degree in a quantitative field (MSc/PhD) is required.
  • Strong quantitative abilities with sharp mathematical and coding skills.
  • Experience applying AI tools to improve productivity and insights.
  • Proven track record of outstanding academic achievement.
  • Collaborative mindset in a fast-paced banking environment.

Responsibilities

  • Partner with traders to develop pricing models and hedging strategies.
  • Deliver quantitative insights that influence trade execution and portfolio performance.
  • Contribute to design and enhancement of trading algorithms and infrastructure.
  • Collaborate with technology and data teams to ensure robust deployments and data integrity.

Skills

Quantitative skills
Programming skills
Financial domain knowledge
Communication skills
Academic excellence
Team collaboration

Education

MSc or PhD in a quantitative field

Tools

AI tools

Job description

Deutsche Bank AG in New York is seeking a highly skilled Equity Financing Non-Linear Analyst to join a front-office Quant team. The role focuses on real-time pricing, risk analytics, and strategic decision-making for electronic liquidity provision.

You will partner with traders to implement pricing models, hedging strategies, and data-driven insights that influence trade execution and portfolio performance. A strong quantitative background and postgraduate degree are required.

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