Okay, I've searched for Quantitative Analyst roles in New York. The results include positions with a hybrid work environment, requiring 5-8 years of experience in data analysis, and offering a salary of at least $135,000. I found 72 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

The Quantitative Analyst II position at Popular is fundamentally focused on deriving actionable insights from data to inform data-driven decision-making across the organization. The key responsibilities—developing statistical models, conducting in-depth data analyses, and collaborating with various stakeholders—underscore the need for a technical expert who can translate complex quantitative data into practical strategies. Success in this role hinges on the ability to navigate multifaceted data sets and deliver meaningful insights while working within a matrix of teams, highlighting the importance of both analytical proficiency and strong interpersonal skills. Candidates can expect to face challenges such as model validation, adapting to new analytical tools, and ensuring stakeholder understanding of quantitative findings. A successful analyst will not only meet performance expectations but will also contribute to the continuous evolution of analytics within the organization, driving significant impact within the first 6–12 months by participating in innovative analytics projects and fostering collaborative relationships.

Company Analysis:

Popular operates in the banking and financial services sector with a strong foothold across the U.S., Caribbean, and Latin America. As a leading institution with a legacy spanning over a century, the company is positioned as a trusted provider of comprehensive financial solutions. This status as a reliable partner reflects its commitment to customers and community engagement, which can deeply influence the role of a Quantitative Analyst. The culture at Popular seems to emphasize collaboration, innovation, and continuous learning, as evidenced by the role's requirement for teamwork across diverse functional teams. Additionally, the company's strong focus on operational excellence and customer service aligns with the analyst role's objective to enhance business performance through data. The Quantitative Analyst II will likely have substantial visibility due to the strategic importance of their work to organizational goals, including enhancing product offerings and optimizing customer experience. Overall, this role is not just technical; it involves aligning analytical strategies with Popular's mission to empower customers and drive business growth.

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

• Tell me about a time when you had to analyze a complex data set to draw actionable insights. What was your approach and what was the outcome?
• Describe a situation where you collaborated with a team to solve a significant analytical problem. What role did you play and what was the result?
• Can you provide an example of a predictive model you developed? What challenges did you face in its implementation?
• How would you communicate complex quantitative results to a non-technical stakeholder? Can you give an example of when you've done this successfully?
• How do you prioritize your tasks when working on multiple analytics projects simultaneously?
• What statistical methods do you find most effective for customer segmentation and why?
• How would you approach building a model for predictive analytics in a financial services setting?
• Imagine you are tasked with improving a predictive model that is underperforming. What steps would you take to diagnose and enhance its effectiveness?
• Why are you interested in working for Popular and how do you see your role contributing to our mission?
• How do your values align with Popular's stated corporate values of Passion for People, Succeed Together, and Build the Future?
• What emerging trends in quantitative analytics are you most excited about, and how would you apply them in our organization?
• What methods do you use to stay current with advances in statistical modeling and data analysis?
• If you were given a new large data set, what initial steps would you take to begin your analysis?
• How do you manage to maintain accuracy and reliability in your quantitative models throughout the development process?
• What questions do you have for us about the quant analytics team and its impact on Popular's growth strategy?