Senior Trading Behavior & Flow Risk Analyst

Freedx

Completely RemoteFull TimeFinance & Banking
Posted Today

Job description

Responsibilities

  • Analyze large-scale trading behavior across tens of thousands of accounts and millions of trading events
  • Build frameworks to evaluate long-term trader quality, consistency, and behavioral stability
  • Develop participant scoring systems based on execution behavior, risk profile, and behavioral patterns
  • Identify persistent signals related to execution quality, position management, and exposure concentration
  • Detect behavioral deterioration, adverse selection, flow toxicity, and execution inefficiencies
  • Design frameworks for participant segmentation, risk profiling, and flow classification
  • Collaborate with engineering teams on automated decision systems and real-time risk infrastructure

Requirements

  • 5+ years of experience in institutional trading, brokerage risk, market making, or quantitative research
  • Strong understanding of market microstructure and participant behavior
  • Experience working with large-scale client flow, execution systems, or liquidity infrastructure
  • Strong Python and SQL skills
  • Experience with statistical learning, time-series analysis, and behavioral analytics
  • Deep intuition for probabilistic systems and statistical behavior at scale

Preferred Qualifications

  • Background in proprietary trading firms, hedge funds, or electronic trading environments
  • Experience with clustering and large-scale trader evaluation platforms

About the Company

Freedx is a newly established cryptocurrency exchange focused on building a scalable, compliant, and liquidity-driven trading platform. Our team brings deep experience across crypto exchanges, payments, market structure, and financial infrastructure. We focus on long-term retention and sustainable growth to ensure our platform serves serious traders and emerging markets effectively.

Skills & tools

PythonSQLQuantitative Research

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years experience in institutional trading, brokerage risk, or quant research
  2. 02Strong understanding of market microstructure and participant behavior
  3. 03Experience with large-scale client flow or execution systems
  4. 04Strong Python and SQL skills
  5. 05Experience with statistical learning and time-series analysis