Senior Market Risk Manager – Quant Analytics

Graviton Research Capital LLP

Singapore

Presencial

SGD 140.000 - 250.000

Jornada completa

Hace 6 días
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Descripción de la vacante

Graviton Research Capital LLP seeks a Market Risk Manager in Singapore to develop and validate quantitative risk models, backtest them with high-frequency data, and partner with researchers to understand risk under different market regimes.

Responsibilities include risk reporting, design of limit structures, and post-trade analysis to inform capital allocation and risk optimization across portfolios.

Formación

  • 2–5 years of experience as an engineer or quant researcher.
  • Strong programming skills in Python and C++.
  • Familiarity with real-time systems and large data analysis.
  • Solid understanding of market microstructure and algorithmic trading dynamics.
  • Ability to communicate complex quantitative insights to both technical and non-technical stakeholders.

Responsabilidades

  • Develop, validate, and maintain quantitative risk models for risk exposure and stress testing and scenario analysis.
  • Backtest and calibrate models using high-frequency trading data.
  • Partner with quantitative researchers to understand model behavior under various market regimes.
  • Design and manage position, P&L, and exposure limit structures by strategy, symbol, and trading entity.
  • Maintain audit trails and approval workflows for limit changes and exceptions.
  • Support the development of automated alerts and escalation processes.
  • Produce daily and intraday risk reports for senior management.
  • Conduct post-trade analysis to understand sources of risk and drawdowns.
  • Contribute to capital allocation discussions and portfolio-level risk optimization.

Conocimientos

Python
C++
Quant risk modeling
Risk analytics
Data pipelines

Educación

Bachelor's in CS/EE/Math/Physics

Descripción del empleo

Graviton Research Capital LLP seeks a Market Risk Manager in Singapore to develop and validate quantitative risk models, backtest them with high-frequency data, and partner with researchers to understand risk under different market regimes.

Responsibilities include risk reporting, design of limit structures, and post-trade analysis to inform capital allocation and risk optimization across portfolios.

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