Data Analytics Engineer

The Hagen Ricci Group; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

A leading financial firm is seeking a Data Analytics Strategist to join their team in New York. This role involves building and supporting financial data analytics, focusing on market analysis and workflow efficiency. Candidates should have experience in financial markets, strong analytical skills, and the ability to communicate findings clearly.

Qualifications

• Experience in a hedge fund or asset manager data role.
• Expertise in financial statistics and analysis.
• Ability to communicate clearly and logically.

Responsibilities

• Oversee data supervision and workflow efficiency.
• Conduct market analysis for financial products.
• Develop internal transaction cost analytics.

Skills

Financial markets familiarity

Data analytical skills

Data manipulation

Statistical analysis

Job description

The Data Analytics Strategist will be a member of the team and will work closely with key stakeholders from the investment team. This person will be responsible for building and supporting the firm’s financial data analytics. The successful candidate will be knowledgeable in financial markets and products, including derivatives, across asset classes, and will enjoy working in a fast-paced, business-facing environment with end-to-end responsibility for models and applications. Ideal candidates will have additional experience with execution data and analysis, and will work with the Execution team in developing internal transaction cost analytics.

Responsibilities:

As part of a small team, the Data Analytics Strategist will have a wide range of responsibilities broadly grouped into three categories:

1. Data Supervision
2. Market Analysis
3. Workflow Efficiency Development

Qualifications:

• Years of experience at a hedge fund or asset manager in a similar data role.
• Broad familiarity with financial markets and products in rates, currencies, or equities.
• Strong data analytical skills.
• Experience parsing data from various sources, loading and manipulating data, and interrogating issues in data or analytics accuracy.
• Ability to build sustainable analytics for derived metrics and expose to non-technical users.
• Expertise in financial statistics and analysis including back-testing strategies, PnL, derivative payoffs, time series analysis, etc.
• Ability to listen carefully, take feedback, ask clarifying questions, and communicate clearly and logically.

Interested candidates can contact us at [e-mail].

Reference Code: DF2722

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