Algorithmic Trading Analyst

BestEx Research

$80K — $95K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's, Master's, or PhD in Computer Science, Engineering, Finance, or a related quantitative discipline.
  • Strong foundation in probability, statistics, and data analysis.
  • Proficiency in Python/R and SQL programming languages.
  • Excellent written and verbal communication skills.
  • Detail-oriented with strong analytical and problem-solving abilities.
  • Collaborative and proactive with a desire to learn in a fast-paced environment.

Responsibilities

  • Develop knowledge of market structure and electronic trading across various asset classes.
  • Learn algorithm execution strategies and the underlying trading systems.
  • Evaluate algorithm performance using statistical analysis and data visualization.
  • Test and support trading products to ensure functionality.
  • Enhance product planning and prioritization through cross-functional communication.
  • Develop presentation skills for both internal and external engagements.

Benefits

  • Opportunity to gain expertise in electronic trading and market structure.
  • Pathway to advance into front office roles such as quant research or product management.
  • Hands-on experience collaborating with trading desks and technology teams.
  • Exposure to global multi-asset trading environments.
Full Job Description
Description

We are seeking highly motivated and detail-oriented entry-level candidates to join our Stamford, CT team as Algorithmic Trading Analysts. This role is a foundational position within our electronic trading organization, designed for candidates who want to build deep expertise at the intersection of market structure, algorithmic execution, trading technology, and software development.

In this role, you will work closely on a variety of projects alongside our trading desk, quant and engineering teams to build and improve various aspects of our global multi-asset algorithmic trading platform.

Over time, you will have the opportunity to build expertise in one of several different front office roles focused on quant research, product management or client coverage.

Specifically, You Will:
  • Develop a strong working knowledge of market structure and electronic trading behavior in several asset classes and regions.
  • Learn how algorithmic execution strategies, routing logic, and trading systems underneath them actually work.
  • Learn to evaluate algorithm performance across clients and strategies using statistical analysis and data visualization.
  • Gain experience testing and supporting our trading product.
  • Build fluency in product planning, prioritization, and cross-functional communication across trading, technology, and client teams
  • Develop communication and presentation skills for internal and client-facing interactions.
  • Develop working knowledge of Global Equities and Futures market structure, and how electronic trading behavior differs across regions and asset classes


Requirements
  • Bachelor's, Masters or PhD in Computer Science, Engineering, Finance, Quantitative Finance, Mathematics, Statistics, Data Science or a related quantitative discipline
    Strong foundation in probability, statistics and data analysis.
  • Strong analytical mindset and problem-solving skills with high attention to details
  • Working knowledge of Python/R and SQL
  • Excellent written and verbal communication skills
  • Collaborative, proactive attitude with a strong sense of ownership and desire to learn in a fast-paced trading environment
  • Willingness to work in person daily in our office in Stamford, CT

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