Data Engineer

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Asset Management, Financial ServicesIndustries

Requirements

Candidates should possess at least 6 years of development experience, with a minimum of 2 years specifically in data engineering. A Bachelor's degree in computer science or a related field is required, along with strong Python and SQL skills for data processing and automation. Extensive experience with ETL/ELT pipelines, a solid understanding of data structures, data modeling, efficient query design, and performance tuning in SQL databases like Postgres or MS SQL Server are essential. Familiarity with data transformation tools is also needed.

Responsibilities

The Data Engineer will design, develop, and optimize data pipelines for various functions including trading, alpha generation, research, risk management, and accounting. Responsibilities include building critical golden source datasets like security master, account master, and price master, and developing shared Python libraries for data APIs and core functionalities. The role also involves expanding and tuning AI offerings for LLM search and summarization of financial documents, ensuring high data quality and observability with modern data governance tools, and optimizing large-scale data processing workflows. Collaboration with technical and non-technical teams to understand data requirements and implement solutions, as well as supporting and troubleshooting data pipelines, APIs, and database performance issues, are key duties.

Skills

Data Pipelines

Trading Systems

Risk Management

Legacy System Modernization

Cloud-based Tools

Snowflake

DBT

Verition Fund Management

Multi-strategy hedge fund for investments

About Verition Fund Management

Verition Fund Management is a hedge fund that employs multiple investment strategies to manage assets for institutional investors, such as pension funds and high-net-worth individuals. The firm focuses on various strategies including Credit, Fixed Income Macro, Convertible Volatility Arbitrage, Event Driven, Equity Long Short Capital Markets, and Quantitative Strategies. Their approach involves dynamic capital allocation, allowing them to adapt to changing market conditions and aim for absolute returns. Verition differentiates itself from competitors through its collaborative work environment and a strong emphasis on risk management, utilizing both internal and external analyses to maintain disciplined investment practices. The company's goal is to generate positive returns for its clients while fostering a culture of creativity and cooperation among its team.

Greenwich, ConnecticutHeadquarters

2008Year Founded

$1,397.3MTotal Funding

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

51-200Employees

Benefits

Remote Work Options

Risks

Emerging hedge funds using AI may outperform Verition's traditional strategies.

Regulatory scrutiny could impact Verition's fee structures and transparency requirements.

Geopolitical tensions may disrupt Verition's fixed income and equity investment strategies.

Differentiation

Verition employs a multi-strategy approach, offering diverse global investment strategies.

The firm has a collaborative environment fostering creative investment ideas.

Verition's sophisticated risk management ensures disciplined investment practices.

Upsides

Verition benefits from increased interest in ESG investing for sustainable investment strategies.

AI-driven trading platforms enhance Verition's quantitative strategies and risk management.

Alternative data sources provide Verition unique insights for competitive market predictions.

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