CS / Stat for L/S

Based on the most helpful WSO content, your background in algorithms, data structures, and econometrics already provides a solid foundation. However, if you're aiming for a long/short (L/S) equity role or something quantitative, furthering your skills in computer science and statistics could be highly beneficial. Here's why and what you might consider:

1. Programming Skills:

   • Many L/S roles involve data analysis, backtesting strategies, or building models. Proficiency in Python (with libraries like NumPy, Pandas, and SciPy) or R is often essential. If you haven't already, consider diving deeper into these tools.

2. Statistics and Econometrics:

   • Econometrics is a great start, but expanding into time series analysis, regression techniques, and machine learning methods could give you an edge. These are particularly useful for analyzing financial data and building predictive models.

3. Advanced CS Topics:

   • If you're interested in automation or more technical roles, courses in databases, machine learning, or even cloud computing could be valuable. These skills are increasingly relevant as more processes in finance become automated.

4. Practical Application:

   • Beyond coursework, focus on applying what you learn. Build side projects, such as a stock screener, backtesting tool, or a simple trading algorithm. These projects not only solidify your knowledge but also serve as great talking points during interviews.

5. Balance:

   • While it's tempting to "do nothing" during school, using this time to build skills can set you apart. That said, don't overload yourself—focus on areas that align with your career goals and interests.

If you're aiming for a quant-heavy role or want to stand out in L/S equity, continuing to build your CS and stats knowledge is a smart move.

Sources: Undergrad: Is computer science 'hotter' than a business degree?, Does anyone know of any sources online to learn more math/statistics?, Reconsidering banking after receiving offer... help?, RE: Prop/Quant Trading - Why is it not as big a target as Investment Banking?, For those who landed as a quant with only undergrad degree