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Trexquant

Quantitative trading via ML models

Associate General Counsel - Investment and Trading

Legal Counsel & Legal SupportConfirmed live in the last 24 hours
Full-timeStamford, CT, USAIn-person

About the Job

Requirements

  • Juris Doctor (JD) degree and at least 8 years of relevant legal experience.
  • Awareness and fluency in using evolving technologies in business and when providing counsel to staff.
  • Active license to practice law and good standing with the applicable bar association.
  • Excellent written and verbal communication skills, including the ability to build relationships, actively listen, and influence stakeholders by adapting communication style to different audiences.

Responsibilities

  • Serve as the day-to-day point of contact and responsible manager for the adviser’s legal guidance, related risk, and policy development, partnering with the CLO, CCO, and other members of management.
  • Advise on financial market and global trading regulatory obligations, including regulatory developments and the management of legal matters related to execution, trading, and operations, particularly law and technology issues related to professional trading.
  • Support the company's regulatory and legal risk management by actively participating in business and product development meetings.
  • Advise the Compliance, Technology, Finance, Investor Relations, and Management teams on financial and business legal risks, with the support of Regulatory Counsel.
  • Support other attorneys across a range of adviser legal responsibilities.
  • Support internal investigations and respond to regulatory inquiries as needed.

Desired Qualifications

  • Experience at a law firm, regulated exchange, financial technology company, trading firm, or other financial services organization.

About the Company

Trexquant

Quantitative trading via ML models

Trexquant is a quantitative finance firm that builds multi-asset portfolios using machine learning. It develops investment and research tools that ingest a wide range of data variables to create complex trading models and strategies, which in turn generate trading signals. These signals guide decisions across global markets. The product works by applying advanced machine learning to large datasets to create predictive models and rule-based strategies, which drive portfolio construction and trading actions through the firm’s platform. Trexquant differentiates itself by emphasizing the breadth of data it uses and the depth of machine-learning driven models to craft multi-asset portfolios, aiming to produce signals that outperform global market conditions. The company’s goal is to generate investment performance that beats benchmarks by using data-driven signals and diversified, multi-asset strategies.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Stamford, CT
Founded
2012

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