Quantitative Researcher/Developer, Algorithmic Trading Analytics

Quanta Search; Los Angeles (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading Asset Management firm is hiring a Quantitative Researcher/Developer focused on Algorithmic Trading Analytics. This role involves building backend services, developing statistical models, and researching trading strategies. Candidates should hold a relevant degree and possess strong programming skills in multiple languages.

Qualifications

• Ability to assess buy vs build tradeoffs.
• Programming skills required in kdb+/Q and at least one compiled and scripting language.
• Familiarity with equity fundamental databases desired.

Responsibilities

• Build backend services for dataset capture and analysis.
• Develop statistical models for execution methods.
• Research market impact for various asset classes.

Skills

Data Science

Data Analysis

Machine Learning

Neural Networks

Deep Learning

Education

B.S., B.A., M.S., M.F.E or Ph.D. degree in technical field

Tools

kdb+/Q

GitLab

Docker

Kubernetes

Rancher

Job description

Quantitative Researcher/Developer, Algorithmic Trading Analytics

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Our client, a leading Asset Management firm, is hiring for a Quantitative Researcher/Developer in Algorithmic Trading Analytics

Job Responsibilities (include, But Not Limited To The Following)

• Build backend services for capture, storage and analysis of various datasets required to measure transaction costs
• Develop web front end for Trade Cost Analysis (TCA)
• Develop statistical models and machine learning frameworks for evaluation of execution methods and algorithms
• Research market impact and information transfer phenomena for various asset classes
• Data modelling and development of systematic trading strategies
  
  

Candidate Profile

• B.S., B.A., M.S., M.F.E or Ph.D. degree in technical field
• Market Data Specialist, Market Microstructure
• Familiarity with equity fundamental databases, Compustat, FactSet, Reuters WorldScope, RavenPack
• Data Science, Data Analysis, Machine Learning, Neural Networks, Deep Learning
• Ability to assess buy vs build tradeoffs and performance tradeoffs at all levels of the technology stack
• Programming skills:
  
  

– Experience with kdb+/Q (required)

– Proficiency in at least one compiled language like Go/Rust/Scala/C++/Java (required)

– Proficiency in at least one scripting language like R/Python/Ruby/V8 (required)

– Experience with modern development stack (GitLab/Docker/Kubernetes/Rancher) (desirable)

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Sales

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