Okay, I found several opportunities for Quant Developer roles in New York that require at least 5 years of experience in financial services, strong Python skills, and a degree in Computer Science. I have located 45 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Quant Developer role at Oxford Knight seeks a seasoned professional to enhance the firm's financial services through robust software solutions. The primary purpose of this position is to ensure that risk models transition smoothly into a production-ready environment while actively contributing to research tools, backtesting, and developing tailored APIs for clients. Candidates can expect to face challenges such as maintaining code quality under performance pressure and adapting models to the fast-evolving financial landscape. Success will be marked by the ability to produce scalable code that not only meets immediate operational needs but also stands up to future demands. This requires a deep understanding of quantitative finance principles, robust coding practices, and a collaborative mindset to facilitate seamless integration across teams, emphasizing the importance of both technical skill and communication capabilities.

Company Analysis:

Oxford Knight operates in a dynamic and competitive financial services arena, noted for being a fast-growing player focused on merging traditional and digital asset offerings. This market positioning will demand a Quant Developer adept at not only technical proficiency but also keeping pace with rapid industry changes and trends. The company culture likely values innovation and agility, fostering an environment where quick adaptation and creative problem-solving flourish. Since the role will likely involve collaboration across teams, it is essential that the candidate thrives within a possibly fast-paced yet rewarding atmosphere. Additionally, as a key contributor to the development process within the organization, this role directly aligns with the company’s goals of scalability and enhanced service delivery, ultimately playing a critical part in their growth trajectory.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to adapt a model to accommodate new financial regulations. How did you approach it?
• Behavioral: Describe a situation where you faced a significant challenge in productionizing a new tool or model. What steps did you take?
• Behavioral: Can you provide an example of how you collaborated with other teams to enhance a project outcome?
• Behavioral: Tell me about an instance where you had to debug a complex piece of code. What was your process?
• Technical: How would you approach the task of ensuring that risk models are production-ready? What steps would you prioritize?
• Technical: Describe your experience with backtesting models. How do you ensure robustness in your testing?
• Technical: What best practices do you follow when developing APIs for internal or external use?
• Technical: Can you explain your previous experience with building large-scale, distributed systems?
• Situational: Imagine you encounter a situation where your risk model is yielding unexpected results just before a deadline. How would you address this?
• Situational: If you were tasked with improving an existing risk engine, what factors would you consider in your strategy?
• Company Fit: Why are you interested in working for Oxford Knight specifically, and how do you see your skills aligning with their mission?
• Company Fit: Given the firm's focus on both traditional and digital assets, how do you think your background will contribute to this dual approach?
• Questions for the Candidate: What is the company's approach to integrating new technologies into its existing systems?
• Questions for the Candidate: Can you describe the team culture within the development and risk assessment teams here?