Sobre esta vaga de Risk Manager - Commodities na Hudson River Trading
Hudson River Trading is hiring a Commodities Risk Manager for our NYC office. You will be responsible for designing, improving, managing, and communicating market and liquidity risk for commodities instruments and strategies. You will have a broad mandate to own and manage all aspects of commodities trading risk faced by the firm, while gaining exposure to the fast-paced world of automated trading alongside exceptionally talented people.
The Risk team is a dynamic, highly collaborative group. As our first Commodities Risk Manager, you will make a tangible impact on a new growth area of HRT’s business. This will be a challenging role with a wide remit across multiple asset classes and investment horizons.
Responsibilities
- Design new risk controls for commodities trading strategies (including futures relative value and derivative vs. physical) that appropriately control market, operational, funding and liquidity risk without disrupting trading activity
- Understand and advise senior management on the nuances of proposed new commodities strategies; investigate and onboard new strategies, assess their risk profile, and make recommendations on both the suitability and feasibility of any new strategies for the firm
- Analyze historical measures in order to calibrate thresholds
- Design & build risk models to appropriately reflect idiosyncrasies of commodities products (e.g. seasonality)
- Monitor market, operational, and liquidity risk; partner with operations & execution trading teams to investigate & resolve risk limit breaches
- Collaborate with Operations to develop and implement new risk monitoring tools
- Evaluate bespoke trading opportunities
- Work on tactical projects with Finance, Operations, and Engineering
Qualifications
- 7+ years of experience as a risk manager covering commodities in an investment bank, hedge fund, or asset manager
- Strong understanding of the commodities landscape (both futures and physical trading), as well as relative value hedge fund strategies
- B.S. in mathematics, physics, economics, computer science, electrical engineering or statistics
- Working knowledge of Python, Linux, SQL
- Ability to communicate effectively with stakeholders across the firm including traders, operations, and other risk managers
- Excellent written and verbal communication skills
The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.
Culture
Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.
You can review our Global Applicant Privacy Notice, which explains how we process applicant information.
