8 дней назад
Risk Engineer Lead, Investment Engineering (Full Stack)
220 000 - 275 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Risk Engineer Lead, Investment Engineering (Full Stack) (Python/Java/Risk Management): Building scalable risk management applications and infrastructure for credit risk, trading, and investment decision-making with an accent on production software, risk factor modeling, P&L attribution, and scenario analysis. Focus on designing full-stack systems, optimizing data-intensive workflows, integrating Kafka and DevOps tooling, and improving reliability across end-of-day and live risk environments.
Location: New York, New York; work from the New York office
Base salary: $220,000–$275,000 per year, plus eligibility for a discretionary annual bonus
Company
Global alternative investment manager operating across private equity, credit, real assets, and retirement services.
What you will do
- Design, develop, and implement risk management applications supporting credit risk, trading, and investment decision-making.
- Build scalable full-stack technology solutions and integrate internal and external tools into ’s risk infrastructure.
- Support the full software lifecycle, including analysis, coding, deployment, enhancements, troubleshooting, and production support.
- Partner with risk managers, traders, portfolio managers, and cross-functional stakeholders to translate business needs into technical solutions.
- Deliver reliable, well-tested code through Agile development, design discussions, peer reviews, and knowledge sharing.
- Mentor junior developers and improve system reliability.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 12+ years of technology experience, including at least 3 years in a trading environment.
- Production experience building risk management software for end-of-day and live risk.
- Hands-on development experience with Python and Java, plus full-stack application delivery.
- Experience with risk factor modeling, P&L attribution, scenario analysis, databases, query optimization, and data management.
- Familiarity with Kafka, CI/CD, Docker, Kubernetes, Git, Agile development, and exposure to risk solutions across asset classes; credit products are preferred.
Culture & Benefits
- Collaborative environment involving risk, portfolio management, trading, and investment teams.
- Fast-paced setting with opportunities to work on complex alternative investment strategies.
- Benefits programs provide coverage for employees and their families.
- Compensation includes a discretionary annual bonus based on individual, team, and firm performance.
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