Any points developing quantitative skills in Canadian RE?

I'm in the middle of an online computer science degree (tldr wish I was a quant) but work in CRE. Knowing how to code is handy as it helps me work with data, however it's clear that fundamentals are key to advancing in this industry. Also, unlike the US there are no MBS research trading or research roles to pivot into, where coding could be a huge plus (e.g. roles that are essentially FICC desk analysts).

That said, is there any point of continuing my program? Should I choose to all-in one or the other asap (e.g. either drop the program and focus on landing a top firm RE investments role or switch to entry level S&T/Market Risk or similar).

On a similar note, what is private markets risk like? Public markets investment risk is naturally quantitative, but private risk sounds rather boring and "manual".

6 Comments
 

Based on the most helpful WSO content, here are some insights and advice for your situation:

  1. Value of Coding in CRE: Your coding skills are already a significant asset in CRE. While the Canadian market may lack MBS research or trading roles, coding can still be leveraged to enhance your quantitative skills in areas like underwriting, financial modeling, and data analysis. These are critical for advancing in real estate investments, especially in roles that require analyzing large datasets or optimizing processes.

  2. Balancing CS Degree and CRE Career: If you're passionate about quantitative work and coding, completing your computer science degree could open doors to roles in quantitative real estate analysis, proptech, or even transitioning into quant finance. However, if your primary goal is to excel in CRE, you might consider focusing on certifications or programs that directly enhance your real estate knowledge, such as an MSRE/D or a top MBA, as suggested in WSO threads.

  3. Private Markets Risk: Private markets risk roles are indeed less quantitative compared to public markets. They often involve manual processes like due diligence, assessing macro/micro risks, and structuring deals. However, as you progress in your career, the ability to quantify risks and articulate strategies becomes crucial, especially in capital raising and partnership structuring. Your coding skills could differentiate you by automating or streamlining some of these traditionally manual tasks.

  4. Next Steps:

    • If you want to stay in CRE, consider supplementing your coding skills with real estate-specific knowledge through online courses or certifications. This will help you bridge the gap and make you more competitive for top investment roles.
    • If you're leaning towards quant finance or S&T, completing your CS degree and gaining experience in programming languages like Python, R, or C++ will be essential. Additionally, focus on building a strong foundation in statistics, machine learning, and financial modeling.

Ultimately, the decision to "all-in" on one path depends on your long-term career goals. If you enjoy the technical and quantitative aspects, pursuing a more quant-heavy role might be fulfilling. However, if your passion lies in CRE, leveraging your coding skills to stand out in the industry could be the way to go.

Sources: So you want to be a Quant?, Q&A: Quantitative Analyst - Machine Learning, Analytics, & Quantitative Research/Investing, Q&A - Quant with 2 yrs exp in Europe both buy/sell side, Qualitative vs Quantitative RE roles, Q&A: From Pizza Delivery to Quantitative Research/Data Science/Programming

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 

Do you mind sharing which specialization you're pursuing / which courses you've taken so far? afik there's no courses in the program that's related to re, reits, etc. so i was just curious what kind of goal you have in mind.

 

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...but is it REPE?

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