Technical Project Manager, Puerto Rico Office at The Voleon Group

San Juan, Puerto Rico, Puerto Rico

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Technology, Investment ManagementIndustries

Requirements

5+ years of professional experience, including 3+ years in technical project management
Proven success leading complex software development efforts across cross-functional and distributed teams
Demonstrated excellence in communication (written and verbal), coordination, and stakeholder management
Experience defining, implementing, and tracking KPIs/OKRs, dashboards, and executive reporting metrics
Strong judgment, problem-solving, and decision-making skills with the ability to influence without authority
Proven ability to operate independently across cross-border teams, demonstrating critical thinking and data-driven decision-making
Hands-on experience with Agile methodologies and Scrum practices
Proficiency in tools such as Jira, Confluence, or equivalent project management platforms
Bachelor’s degree

Responsibilities

Manage a portfolio of complex technical projects spanning regions, time zones, and cross-functional teams, ensuring seamless coordination and execution
Partner with Research and Engineering teams to understand business and technical requirements and translate them into clear project plans and deliverables
Shape and coordinate the offshore R&E roadmap and IP program, aligning priorities, managing resource allocation, tracking delivery milestones, and providing regular updates to senior management
Provide transparency into progress, dependencies, and risks for both technical and non-technical stakeholders
Embed with technical teams to promote Agile practices, drive continuous improvement, and foster a culture of accountability
Lead the end-to-end lifecycle of technical programs — from initiation and planning through launch and post-launch optimization
Design and implement repeatable processes and artifacts (e.g., roadmaps, schedules, dashboards) that enhance visibility and execution
Capture lessons learned and evolve best practices to continuously improve program delivery
Support recruitment, retention, and development of offshore R&E talent, contributing to a scalable and high-performing global organization

Skills

Project Management

Program Management

Machine Learning

Technical Coordination

Cross-functional Teams

Offshore Operations

Research and Engineering

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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