Technical Manager, Business Process & Automation at The Voleon Group

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, TechnologyIndustries

Requirements

Computer Science Degree, or equivalent experience
2+ years of people management experience
5+ years of software engineering experience
Demonstrated history of management of engineering teams
Proven ability to hire, manage, and grow exceptional engineers
Expertise in a modern programming language, such as Python, Go, R, and/or C/C++
Strong product engineering fundamentals, working with customers to understand challenges
Familiarity with common APIs, best practices, and data products

Responsibilities

Effectively manage a team of engineers
Attract, hire, and retain top engineering talent
Develop ambitious yet achievable goals for your team, and reliably deliver results
Work closely with stakeholder team to develop a roadmap and future vision for your team
Mentor and grow individual contributors to continuously up-level your team
Deliver solutions quickly, at the right levels of technical depth and quality
Understand customer challenges and provide appropriate solutions at the right technical level
Integrate complex systems with easy to use tools and solutions

Skills

APIs

Integrations

Data Platforms

Automation

Machine Learning

FinOps

Engineering Management

The Voleon Group

Investment management using machine learning algorithms

About The Voleon Group

Voleon focuses on investment management by utilizing machine learning to analyze financial market trends. The firm uses advanced statistical models to process large datasets and identify patterns that inform investment decisions, setting it apart from traditional methods that rely on human intuition. Voleon serves institutional clients and operates on a performance-based fee structure, aligning its interests with those of its clients. The company's goal is to provide data-driven insights that optimize investment returns while adapting to changing market conditions.

Berkeley, CaliforniaHeadquarters

2007Year Founded

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Paid Vacation

Paid Sick Leave

401(k) Retirement Plan

401(k) Company Match

Risks

Competition from other quantitative hedge funds may erode Voleon's market share.

Regulatory scrutiny on AI use in finance could increase compliance costs for Voleon.

Data quality issues could lead to inaccurate predictions and financial losses for Voleon.

Differentiation

Voleon uses machine learning for data-driven financial market predictions.

The firm serves institutional clients with a focus on scalability and risk management.

Voleon's academic approach emphasizes intellectual rigor and continuous learning.

Upsides

Increased interest in ESG investing offers new opportunities for Voleon's models.

Alternative data sources enhance predictive models for quantitative hedge funds like Voleon.

Cloud computing enables efficient scaling of Voleon's data processing capabilities.

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