The Role

We are seeking a highly skilled and experienced Lead Engineer to join our software engineering team. This team is responsible for building tools that improve portfolio manager workflows and drive efficiencies across the business. Our flagship product, SchonGPT, is an internal AI platform that provides ChatGPT-like functionality with deep integrations into internal systems to enhance workflows. Additionally, the team supports internal tools that empower teams to build their own AI solutions via chat-based interfaces or APIs.

 

What you’ll do 

• Provide guidance and mentorship to the engineering team, fostering a culture of continuous improvement and professional development. 
• Drive initiatives to improve code quality, system resilience, and overall performance of our software solutions. 
• Work closely with internal customers to understand their requirements and translate them into elegant, scalable architectures. 
• Establish and promote best practices in software development, including code reviews, testing, and documentation. 
• Lead the development and enhancement of SchonGPT and other internal tools, ensuring they meet the highest standards of quality and performance. 
• Contribute to the technical strategy and roadmap, aligning it with business goals and emerging technologies.
• Experience in UX/User Experience

 

What you’ll bring
What you need:

 

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Proven experience in managing and leading a software engineering team.  
• Proficiency in Python and AWS. 
• Experience in UX/UI
• Experience in building shared, distributed tools. 
• Strong problem-solving skills and the ability to think critically. 
• Excellent communication and interpersonal skills. 
• Ability to work collaboratively with cross-functional teams.

 

We’d love if you had:

 

• Passionate about mentoring and developing engineering talent.
• Has a deep understanding of AI and machine learning technologies. 
• Is adept at translating complex customer requirements into robust technical solutions. 
• Committed to building a first-class engineering practice and driving continuous improvement.

 

 

Who we are  
Schonfeld Strategic Advisors is a global multi-strategy, multi-manager investment platform that harnesses the transformative power of people to perform in all market environments. Our dynamic culture inspires better outcomes for our team, our investors, and our partners. We aim to consistently deliver risk-adjusted returns, with people driving performance.

We specialize in four core strategies: Quantitative Trading, Fundamental Equity, Tactical Trading, and Discretionary Macro & Fixed Income. We capitalize on inefficiencies and opportunities within the markets, drawing from a significant investment in proprietary technology, infrastructure, and risk analytics.

We invest through internal portfolio managers and external partner funds, pursuing alignment among investors, investment professionals, and the firm. Our footprint spans 7 countries and 19 offices.

 

Our Culture
Talent is our strategy. We believe our success is because of our people, so putting our talent above all else is our top priority. We are teamwork-oriented, collaborative, and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning & educational offerings and opportunities to make an impact.

We foster a sense of belonging among all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. Our employees value diversity across identity, thought, people and perspective which serves as the foundation of our culture. As a firm, we are committed to creating a hiring process that is fair, welcoming and supportive.

The base pay for this role is expected to be between $180,000 – $250,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience. 

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