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.
Strong programming skills and experience implementing data tools in code, with Python as the primary research language.
Autonomy to work in a self-directed manner and independently solve open-ended problems.
Responsibilities
Collect, organize, and maintain all data inputs into the systematic investment process, including fundamental macroeconomic data and market data time series.
Source data required for the strategy and maintain the critical metadata that informs analysts’ understanding and systems’ manipulation of the data.
Clean and curate historical time series, and conduct ongoing diagnostics and quality control for incoming data.
Work hands-on with macroeconomic and market time series, including seasonal adjustment, calendar effects such as holidays and trading days, and related transformations.
Work with vintage and revision-aware datasets to support point-in-time and real-time analysis.
Perform exploratory data analysis to identify anomalies, structural changes, and data quality issues.
Work closely with research analysts to ensure datasets are investment-ready and aligned with systematic macro research needs across equities, foreign exchange, rates, and commodities.
Desired Qualifications
Familiarity with additional programming languages and production environments.
Experience in database design and management.
Expertise in metadata design and curation.
Data science expertise.
About Tekmerion:
Tekmerion is a global macro hedge fund whose strategy combines the fundamental insights of a fundamental macro trader with the analytical rigor of a systematic investment manager. 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, allowing the team to express macro views where risk–reward is most compelling. The team is small and exceptional. This is an opportunity that offers a startup-like growth trajectory backed by the stability of major institutional infrastructure.
Role Description:
The Data Analyst reports directly to the Chief Investment Officer and is responsible for collecting, organizing, and maintaining all data inputs into the systematic investment process. This includes both fundamental macroeconomic data and market data time series. In addition to sourcing data required for the strategy, the Data Analyst is responsible for maintaining the critical metadata that informs both the analysts’ understanding and the systems’ manipulation of the data.
The Data Analyst is also responsible for cleaning and curating historical time series, as well as conducting ongoing diagnostics and quality control for incoming data. In addition to data sourcing and curation, the role involves hands-on work with macroeconomic and market time series, including seasonal adjustment, calendar effects such as holidays and trading days, and related transformations. The Data Analyst will work with vintage and revision-aware datasets to support point-in-time and real-time analysis and will perform exploratory data analysis to identify anomalies, structural changes, and data quality issues. This role works 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.
The ideal candidate will have a gift for organization, familiarity with economic and market data, and extraordinary diligence and attention to detail.
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; familiarity with additional languages and production environments is a plus
Additional Qualifications:
Experience in database design and management
Expertise in metadata design and curation
Data science expertise
The base salary for this role is anticipated to be $125,000–$175,000, excluding potential bonuses, additional compensation, and benefits. Actual compensation will depend on various factors including skills, experience, and qualifications.