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We are hiring a Senior Risk Developer (Python) who will be developing and maintaining advanced risk management systems to support our client's multi-strategy hedge fund operations, encompassing a diverse range of asset classes.
As a Senior Risk Developer (Python), you will work closely with the quantitative analysts, traders, and risk management team to design, implement, and enhance software solutions that provide real-time insights into market risk exposures
MUST HAVE:
• Strong proficiency in Python + AWS
• At least 5+ years of experience in risk-oriented software development, preferably in a front-office or trading role at buy-side firms.
ROLE
• Develop and improve tools for risk management and portfolio optimization to assist different trading approaches.
• Create and deploy risk models, such as factor models and market risk models.
• Implement automated reconciliation and alert systems to strengthen risk management processes.
• Work in partnership with market risk teams and quantitative teams to enhance pricing and risk libraries.
REQUIREMENTS
• Hold a Bachelor's, Master's, or Ph.D. in Mathematics, Statistics, Computer Science, or Finance.
• Have 2-5 years of experience in developing distributed systems.
• Understand factor models, Barra models, and market risk models.
• Knowledgeable in technologies like Linux, NumPy, Pandas, SQL, Redis, and Docker.
• Skilled in technology infrastructure and automation
PLUS
• Experience with risk management vendor systems, notably RiskMetrics and RiskVal.
• Knowledge of financial instruments and derivatives, including futures, swaps, forwards, and options
As a Senior Risk Developer (Python), you will work closely with the quantitative analysts, traders, and risk management team to design, implement, and enhance software solutions that provide real-time insights into market risk exposures
MUST HAVE:
• Strong proficiency in Python + AWS
• At least 5+ years of experience in risk-oriented software development, preferably in a front-office or trading role at buy-side firms.
ROLE
• Develop and improve tools for risk management and portfolio optimization to assist different trading approaches.
• Create and deploy risk models, such as factor models and market risk models.
• Implement automated reconciliation and alert systems to strengthen risk management processes.
• Work in partnership with market risk teams and quantitative teams to enhance pricing and risk libraries.
REQUIREMENTS
• Hold a Bachelor's, Master's, or Ph.D. in Mathematics, Statistics, Computer Science, or Finance.
• Have 2-5 years of experience in developing distributed systems.
• Understand factor models, Barra models, and market risk models.
• Knowledgeable in technologies like Linux, NumPy, Pandas, SQL, Redis, and Docker.
• Skilled in technology infrastructure and automation
PLUS
• Experience with risk management vendor systems, notably RiskMetrics and RiskVal.
• Knowledge of financial instruments and derivatives, including futures, swaps, forwards, and options
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