Quantitative Researcher Quantitative Researcher …

Quantitative Researcher Quantitative Researcher - PMD Chicago/en-US/External/job/Chicago/Quantitative-Researcher---PMD_REQ1932/apply

The Job Details are as follows:

Balyasny Asset Management L.P. (BAM) is a global institutional investment firm. We strive to deliver consistent, uncorrelated, absolute returns in all market environments by fostering a culture of research, innovation, and collaboration. BAM has offices in Chicago, New York, Greenwich, San Francisco, Hong Kong, Singapore, and London.

BAM exists at the intersection of finance and technology, combining the deep industry knowledge of leading portfolio managers and financial analysts with software engineers and quantitative researchers. We leverage the collective expertise of our teams to seek out new investment opportunities, analyze market conditions, minimize risk, and provide superior service to our investment partners.

With 600+ people in offices around the world, we embrace a culture that welcomes the free flow of ideas, promotes career development, and supports the health and wellbeing of our people through world-class benefits.

ROLE OVERVIEW

We are building a small new team within Equities business (PM Dev group) focused on portfolio construction and trading starting with risk management as the focus and a scope to grow further. This team has the unique advantage of directly impacting the firms performance outcome and in turn a better outcome for our investors as well.

In the role of a Quantitative Analyst, the employee will be responsible for the following:

• Enhancing our optimized hedge construction process
• Ownership and extension of our back-testing / simulation platform
• Support research and analysis to improve the parameters and model used for portfolio construction
• Adding features and capabilities to expand trading globally
• Robust testing / regression tests for new features and improvements, collaborating with other team members as needed
• Backup for live trading if needed
• Apply new technologies to improve the process if needed (doesnt have to be an expert but well-informed to use these)
• Apply robust, scalable process development and maintenance approaches

QUALIFICATIONS & REQUIREMENTS:

In order to effectively perform in this position and represent the Company, the employee must display the following attributes:

• Programming experience with Python and SQL.
• Familiar with financial markets, portfolio optimization, equity risk models
• Prior experience with portfolio optimization / systematic research / trading is a plus.
• Good understanding of basic statistics, regression models, matrix algebra, quantitative analysis applied to finance
• Solid understanding of programming and DevOps concepts
• Working knowledge of Linux / windows servers, version control systems (e.g. git)
• Attention to detail takes ownership of projects with a strong focus on quality and correctness

EDUCATION, TRAINING & EXPERIENCE:

• Graduate or undergraduate work in computer science, engineering, math, statistics, finance, computational finance or other quantitative field is strongly desired
• 2+ years of experience in financial engineering / quant role

Posted TodayFull timeREQ1932

Balyasny Asset Management L.P. (BAM) is a global institutional investment firm. We strive to deliver consistent, uncorrelated, absolute returns in all market environments by fostering a culture of research, innovation, and collaboration.

BAM exists at the intersection of finance and technology, combining the deep industry knowledge of leading portfolio managers and financial analysts with software engineers and quantitative researchers. We leverage the collective expertise of our teams to seek out new investment opportunities, analyze market conditions, minimize risk, and provide superior service to our investment partners.

With 500+ people in offices around the world, we embrace a culture that welcomes the free flow of ideas, promotes career development, and supports the health and wellbeing of our people through world-class benefits.