{"id":8826,"date":"2024-03-19T09:57:16","date_gmt":"2024-03-19T13:57:16","guid":{"rendered":"https:\/\/www.math.columbia.edu\/mafn\/?page_id=8826"},"modified":"2025-12-17T11:04:50","modified_gmt":"2025-12-17T15:04:50","slug":"incoming-student-summer-program","status":"publish","type":"page","link":"https:\/\/www.math.columbia.edu\/mafn\/incoming-student-summer-program\/","title":{"rendered":"Incoming Student Summer Program"},"content":{"rendered":"

In the MAFN program, we believe that the groundwork for success starts during the summer before students begin their studies, which is a great time to boost their programming skills and get a head start on the internship search. This is why starting June, we are offering virtual workshops, opportunities to meet alumni, and career appointments exclusively for students admitted for the Fall semester.<\/div>\n
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2026 Schedule Coming Soon<\/div>\n
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Career Development Workshop Series<\/strong><\/h5>\n

We will be holding five different kinds of career development workshops throughout the summer for admitted MAFN students.<\/p>\n<\/div>

<\/i><\/i><\/span>Career Development Overview for MAFN Students<\/span><\/a><\/h4><\/div>
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In this workshop, you will get an overview of what career development looks like as an MAFN student. We will go over the recruiting timeline, what materials you need, what resources you have access to, job strategies<\/span><\/p>\n

Attend one of the following dates:<\/p>\n

Tuesday, June 17, 2025, 10 am EST<\/p>\n

Monday, June 30, 2025 10 am EST<\/p>\n

Thursday, July 17, 2025 10 am EST<\/p>\n

Monday, July 28, 2025 10 am EST<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Resumes & Cover Letters<\/span><\/a><\/h4><\/div>
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This workshop will go over how to write impactful resumes and cover letters. We will explore the essential elements that contribute to the success of these documents, offering practical guidelines.<\/span><\/p>\n

Attend one of the following dates:<\/p>\n

Wednesday, June 18, 2025 10 am EST<\/p>\n

Thursday, June 26, 2025 10 am EST<\/p>\n

Monday, July 7, 2025 10 am EST<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>LinkedIn Profile & Job Search<\/span><\/a><\/h4><\/div>
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LinkedIn is the largest professional social media platform where you can build your brand, expand your network, find jobs, and research companies. Recruiters will most likely look you up on LinkedIn after you apply to an open position. At this workshop, you will learn how to use LinkedIn as a tool to attract recruiters and network with other industry professionals.<\/span><\/p>\n

Monday, June 23, 2025 10 am EST<\/p>\n

Thursday, July 10, 2025 10 am EST<\/p>\n

Thursday, July 24, 2025 10 am EST<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Behavioral Interviews<\/span><\/a><\/h4><\/div>
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This workshop will explore different elements of the interview process. In this session, we will discuss various types of interviews and questions, and share best practices to help you effectively prepare for each. You will also learn post-interview strategies to increase your chances of securing the job.<\/span><\/p>\n

Monday, July 14, 2025 10 am EST<\/p>\n

Monday, August 4, 2025 10 am EST<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Networking & Mentorship<\/span><\/a><\/h4><\/div>
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During this workshop we will talk about the importance of networking and mentorship, providing practical guidance on how to connect with the right individuals and effectively engage them. We will explore the purpose behind networking, share strategies for identifying the appropriate contacts, and discuss techniques to elicit responses to your messages.<\/span><\/p>\n

Monday, July 21, 2025 10 am EST<\/p>\n

Thursday, July 31, 2025 10 am EST<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

Python Boot Camp<\/strong><\/h5>\n

In this 6-week bootcamp, the students will review the foundational knowledge and practical computing skills necessary for solving complex problems. The topics will include fundamental data structures and efficient algorithms commonly utilized in computer science. Tailored as a technical primer for incoming MAFN students, the bootcamp facilitates the study and implementation of quantitative models and algorithms as instructed in the MAFN curriculum, particularly benefiting those lacking a robust computer science background.<\/span><\/p>\n

Each session covers both theoretical instruction and hands-on learning experiences. Students will engage in coding exercises designed to reinforce their understanding of key concepts, with a focus on implementing data structures and algorithms. Python serves as the primary programming language for these exercises, aligning with industry standards and enhancing practical application skills.<\/p>\n<\/div>

<\/i><\/i><\/span>Event Details<\/span><\/a><\/h4><\/div>
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July 12th – August 17th, 2025<\/p>\n

Saturdays and Sundays 9 am – 11 am EST<\/p>\n

Price:<\/p>\n

$750 – Price of one 6-week bootcamp
\n$700 – Price of one 6-week bootcamp if purchasing both<\/p>\n

*Registration links to the workshops will be shared with incoming students in May and June.<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>About Ka Yi Ng<\/span><\/a><\/h4><\/div>
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Ka Yi Ng is a senior Quantitative Analyst at Nasdaq\u2019s Financial Technology division, specializing in quantitative finance area. With over two decades of research and development experience in the financial software industry, her primary interests encompass derivatives pricing and machine learning. Previously, she held various senior quant positions at Adenza, Calypso, ION and Wall Street Systems.<\/p>\n

Ng is an Adjunct Assistant Professor in the Department of Mathematics. She currently teaches programming courses offered by the MAFN and MA Statistics programs. She completed her Ph.D. in Mathematics at Columbia University.<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Topics<\/span><\/a><\/h4><\/div>
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Basic programming concepts in Python
\nData structures: arrays, stacks, queues, linked lists, hash tables, trees, graphs
\nAlgorithms: recursion, sorting, searching, dynamic programming<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div>

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Technical Interview Prep Boot Camp<\/strong><\/h5>\n

The 6-week bootcamp is designed to prepare incoming MAFN students for technical interviews, concentrating on mathematics, financial instruments, and advanced topics in quant finance. The program is structured to equip students with the necessary skills and knowledge to excel in interviews and their subsequent careers.<\/p>\n

The bootcamp features two lectures per week. The first lecture, known as the foundation lecture, takes place on Tuesdays and lays the groundwork by teaching and reviewing the necessary knowledge base. This prepares students for the second lecture of the week, which focuses on solving actual interview problems. Held on Fridays, these sessions concentrate on applying the foundational concepts learned earlier in the week to solve real-world scenarios. This dual-lecture structure is designed to ensure that students not only grasp the theoretical aspects but also know how to adeptly apply this knowledge in practical, real-world scenarios.<\/p>\n<\/div>

<\/i><\/i><\/span>Event Details<\/span><\/a><\/h4><\/div>
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July 8, 2025, to August 15, 2025<\/span><\/p>\n

Tuesdays 6 p.m. – 7:30 p.m. ET: Theory & Foundation Lecture<\/span><\/p>\n

Fridays 6 p.m. – 8:30 p.m. ET: Practical Interview Questions<\/span><\/p>\n

Price:
\n<\/span><\/p>\n

$750 – Price of one 6-week bootcamp
\n$700 – Price of one 6-week bootcamp if purchasing both<\/p>\n

*Registration links for the workshops will be sent to incoming students in May and June.<\/span><\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>About Arez Mardoukhi<\/span><\/a><\/h4><\/div>
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Arez Mardoukhi, is a Columbia University alumnus with a Bachelor of Arts in Economics and Mathematics (summa cum laude) and a Master of Science in Financial Engineering and Operations Research. Mardoukhi is the founder of Mardoukhi Capital Management, LP, investment firm leveraging cutting-edge AI in optimizing investment strategies. <\/span><\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>Topics<\/span><\/a><\/h4><\/div>
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Mathematics: Calculus, Differential Equations, Covariance Matrix, Correlation Matrix, Linear Algebra<\/p>\n

Financial Instruments: Options, Bonds, Swaps, Forwards, Futures<\/p>\n

Advanced Topics: Monte Carlo Simulations, Numerical Methods, Probability, Stochastic Calculus<\/p>\n

Critical Thinking: Brainteasers<\/p>\n

The curriculum covers essential areas important for understanding and succeeding in the quantitative finance technical interviews.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

Virtual MAFN Alumni Panels<\/b><\/h5>\n

You will get multiple opportunities to engage with the MAFN alumni who will share their stories as well as tips on preparing for the program, internship search and more.<\/span><\/p>\n

Friday, June 27, 2025 10 am EST<\/span><\/p>\n

More dates TBD<\/span><\/p>\n<\/div><\/div><\/div>

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MAFN New Student Orientation<\/h5>\n

We will have a virtual orientation about class registration and what to expect in the program, as well as an in-person faculty meet & greet. <\/span><\/p>\n<\/div>

<\/i><\/i><\/span>MAFN Virtual Orientation<\/span><\/a><\/h4><\/div>
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Attend one<\/span> of the following dates:<\/p>\n

Wednesday, July 2, 2025 at 10 am EST <\/span><\/p>\n

Wednesday, August 6, 2025 at 10 am EST<\/span><\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>In-Person Faculty Meet and Greet<\/span><\/a><\/h4><\/div>
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Thursday, <\/span>August 28, 2025<\/span> at 5 p.m.<\/span><\/p>\n

Location: Columbia University<\/p>\n

The faculty of the MAFN Program will deliver presentations, offering insights into their respective areas of expertise. Following these presentations, a networking reception will take place, providing an opportunity fo<\/span>r students to connect with professors and fellow students. <\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":8,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-8826","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.math.columbia.edu\/mafn\/wp-json\/wp\/v2\/pages\/8826","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.math.columbia.edu\/mafn\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.math.columbia.edu\/mafn\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.math.columbia.edu\/mafn\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/www.math.columbia.edu\/mafn\/wp-json\/wp\/v2\/comments?post=8826"}],"version-history":[{"count":115,"href":"https:\/\/www.math.columbia.edu\/mafn\/wp-json\/wp\/v2\/pages\/8826\/revisions"}],"predecessor-version":[{"id":9497,"href":"https:\/\/www.math.columbia.edu\/mafn\/wp-json\/wp\/v2\/pages\/8826\/revisions\/9497"}],"wp:attachment":[{"href":"https:\/\/www.math.columbia.edu\/mafn\/wp-json\/wp\/v2\/media?parent=8826"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}