Senior Data Analyst
Investment Process & Databases
Updated on 11/2/2023
Acadian Asset Management

201-500 employees

Systematic investing built on 35+ years of data-driven insights.
Company Overview
Acadian is a global investment manager that applies fundamental insights with a systematic lens to find attractive, unique investment opportunities across multi-asset class, ESG, alternative alpha, managed volatility, and long-only strategies. Our decisions are made using a cutting-edge array of disciplined, data-driven investment and portfolio construction techniques across stock-specific, macro, and peer forecasting models. In a world of data proliferation, meaningful conclusions can be difficult to reach. Our time-tested insights are built on over three decades of data and engineering, underpinned by the understanding that well documented, recurring behavioral errors drive irrational actions in financial markets. Structural challenges also limit market efficiency. Together, these factors create mispricing on a global scale. This is where we find our advantage.
Financial Services
Data & Analytics

Company Stage

N/A

Total Funding

N/A

Founded

1986

Headquarters

Boston, Massachusetts

Growth & Insights
Headcount

6 month growth

-4%

1 year growth

-1%

2 year growth

0%
Locations
Cambridge, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Pandas
SQL
Python
CategoriesNew
AI & Machine Learning
Data & Analytics
Software Engineering
Requirements
  • Superior attention to detail and independent drive to understand and improve imperfections in data
  • Solid data analysis and techniques using Python, Pandas and SQL
  • Experience and proficiency with programmatic data visualization - web, BI platform or python notebook
  • Proficiency in multi-asset class data series and operating data delivery platforms
  • Experience with industry standard investment tools such as Bloomberg, Refinitiv, FactSet
  • Experience with data modeling, data management process modeling, data profiling
  • Experience with industry standard investment tools such as Bloomberg or Refinitiv
  • Outstanding analytic skills and the ability to clearly articulate approach and results in verbal, graphical and written form
  • Creativity, enthusiasm, collegiality, and the ability to excel in a self-starting environment
  • Drive and humility to deliver on high-value projects and roll-up-your sleeves attitude
Responsibilities
  • Design and build systems to acquire, validate, clean, and process data for use in credit models, portfolio construction, trading and reporting
  • Work with portfolio managers, researchers and traders to identify new data sources and build data pipelines that drive the investment decision systems
  • Identify and implement performance enhancements to data pipelines
  • Engineer solutions that are well-tested, high quality and extensible
  • As a team, maintain all aspects of the daily investment process systems and production jobs
  • Participate in architectural design of data systems and visualization
Desired Qualifications
  • Bachelor's degree in a related field with 3+ years of software development in a commercial setting; CFA charter is a plus