Data Analyst

Tekmerion Capital•New York, NY

8d•$125,000 - $175,000•Onsite

About The Position

Tekmerion is a global macro hedge fund that combines fundamental insights with systematic investment management. Launched in 2017, the strategy has recently announced a $1B spin-out from Brevan Howard, with strategic backing from Engineers Gate. The investment process spans all major global macro asset classes, including equities, foreign exchange, rates, and commodities. The team is small and exceptional, offering a startup-like growth trajectory backed by institutional stability.

Requirements

1–3 years of relevant experience
Familiarity with fundamental macroeconomic statistical data and its sources
Familiarity working with complex market data, especially long time series
Experience with data curation, diagnostics, and quality control
Experience sourcing new data and working with data vendors
Passion for data
Extraordinary diligence and attention to detail
Excellent written and spoken communication skills
Impeccable integrity
Autonomy; the ability to work in a self-directed manner and independently solve open-ended problems
Strong programming skills and experience implementing data tools in code, with Python as the primary research language

Nice To Haves

Familiarity with additional languages and production environments is a plus
Experience in database design and management
Expertise in metadata design and curation
Data science expertise

Responsibilities

Collecting, organizing, and maintaining all data inputs into the systematic investment process, including fundamental macroeconomic data and market data time series.
Sourcing data required for the strategy.
Maintaining critical metadata that informs analysts' understanding and systems' manipulation of the data.
Cleaning and curating historical time series.
Conducting ongoing diagnostics and quality control for incoming data.
Performing hands-on work with macroeconomic and market time series, including seasonal adjustment, calendar effects (holidays, trading days), and related transformations.
Working with vintage and revision-aware datasets to support point-in-time and real-time analysis.
Performing exploratory data analysis to identify anomalies, structural changes, and data quality issues.
Working closely with research analysts to ensure datasets are investment-ready and aligned with the needs of systematic macro research across equities, FX, rates, and commodities.