Director of Engineering, Strategy Applications

Berkeley, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates must possess a Computer Science degree or equivalent experience, with a demonstrated history of managing large engineering teams (25+ engineers). A minimum of 10 years of software engineering experience and 3+ years of people management experience is required, along with a proven ability to hire and manage exceptional engineers and technical managers. Experience operating critical production systems with high-uptime requirements and deploying ML models to production via serving or batch is also necessary.

Responsibilities

The Director of Engineering, Strategy Applications will effectively manage a group of frontline managers and senior individual contributors, attracting, hiring, and retaining top engineering talent. They will develop ambitious yet achievable goals for their team, reliably deliver results, and work closely with stakeholder teams to develop a roadmap and future vision for their domain. This role involves engaging deeply on technical details, mentoring managers and individual contributors, capturing business logic for reliable delivery of core trading products, and scaling and operationalizing execution and production trading systems. Collaboration with the operations team to oversee systems and capture data for compliance is also a key responsibility.

Skills

Machine Learning

Software Development

System Design

Operations

Observability

Resiliency

Redundancy

People Management

Technical Leadership

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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