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Full-Time

Quantitative Developer

Confirmed live in the last 24 hours

Verition Fund Management

Verition Fund Management

501-1,000 employees

Multi-strategy hedge fund for investments

Quantitative Finance
Financial Services

Compensation Overview

$100k - $200kAnnually

Junior, Mid

London, UK + 2 more

More locations: Waterbury, CT, USA | New York, NY, USA

Category
Quantitative Analysis
Algorithm Development
Quantitative Trading
Quantitative Finance
Software Engineering
Required Skills
Python
Data Structures & Algorithms
Java
AWS
C/C++
Data Analysis
Requirements
  • At least 1-3 years experience in Python programming, ideally including libraries relevant to data analysis and machine learning
  • A strong background in data structures, algorithms, and object-oriented programming
  • Ideally a degree in Computer Science or some other STEM program
  • Experience with AWS or other cloud technology is a plus
  • Exceptional analytical abilities and a strong problem-solving mindset
  • Excellent communication skills to effectively collaborate with traders and other team members
  • Knowledge of additional OOP languages like C++ or Java is a plus
  • Familiarity with machine learning and AI applications in trading is also a plus
Responsibilities
  • Design and develop various tools in Python that will be crucial for analysis, research, trading, and risk management purposes
  • Ensure integrity of data management pipeline and the underlying data itself, and actively identify, diagnose, and remedy data issues
  • Provide ongoing maintenance, support, and enhancements for existing systems and platforms
  • Communicate regularly with team managers
  • Collaborate cross-functionally with internal tech and data teams, researchers, traders, and outside vendors
  • Commitment to safeguarding team information and adhering to business sensitivity
  • Stay abreast of market trends and academic research to continually adapt and refine trading strategies
  • Implement machine learning and other advanced techniques to enhance predictive accuracy
Verition Fund Management

Verition Fund Management

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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.

Company Stage

N/A

Total Funding

$1.3B

Headquarters

Greenwich, Connecticut

Founded

2008

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Simplify's Take

What believers are saying

  • Exposure to a wide range of industries and companies can provide employees with diverse investment experience and knowledge.
  • The firm's active investment strategy and frequent acquisitions suggest a dynamic work environment with opportunities for rapid career growth.

What critics are saying

  • The broad investment strategy may expose the firm to higher market volatility and sector-specific downturns.
  • Frequent acquisitions and stakes in various companies could lead to overextension and potential challenges in portfolio management.

What makes Verition Fund Management unique

  • Verition Fund Management's strategy of diversifying investments across various sectors and companies, including technology, mining, and consumer goods, sets it apart from more specialized funds.
  • Their ability to identify and invest in companies at different stages of growth, from newly public companies to established firms, showcases a versatile investment approach.

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