Kristen on Recruiting and Collaboration at Jane Street

A recruiter describes how her team works with trading and technology and why she encourages new hires to listen and speak up.

KrKristen登壇者 · Jane Street
チャンネル
Jane Street
公開日
2023年3月24日
動画
2:02
読了時間
1 分
原文
英語
YouTube で開く
スクロールすると動画は右下に小さくなって再生を続けます。字幕は閲覧言語に合わせて切り替わります。
閲覧言語2 言語で読めます
この記事はまだ日本語に翻訳されていないため、英語の原文を表示しています。
要約

30 秒でわかる

Kristen, a recruiter in Jane Street’s New York office, describes her work on events, programs and ideas for attracting talent. She values collaboration, openness to different perspectives and the willingness to try new things.

  1. 1A mix of execution and ideasKristen divides her time between recruiting initiatives and collaborating on new ways to attract talent.
  2. 2Partnering across teamsRecruiting exchanges insights with trading and technology to understand their goals and needs.
  3. 3Advice for new hiresShe recommends learning from colleagues, attending events and speaking up with ideas.

ポイント

  1. Recruiting combines executing events and programs with developing new ways to attract talent.
  2. Regular conversations with trading and technology teams help recruiting align with their needs.
  3. Sharing ideas and listening to colleagues are valuable regardless of tenure or background.
  4. New hires can learn by attending events and getting to know colleagues, while contributing their own ideas.
全文

チャプターごとに整えた全文を読む

文字起こしのみ
01

Recruiting work

Kristen introduces her role and describes executing recruiting initiatives. Her team also collaborates on new ways to attract talent and works with other departments.

I’m Kristen, and I work in recruiting in the New York office. I joined Jane Street in 2019. I spend part of my day executing recruiting initiatives such as events and programs, and another part collaborating with colleagues on new ideas for attracting talent.

We regularly connect with teams outside recruiting, including trading and technology. Exchanging insights helps us stay aligned with each team’s goals and needs.

02

Culture and collaboration

Kristen values an environment where people share ideas and listen to one another regardless of background or tenure. She also appreciates the willingness to try new approaches.

What stands out about the culture is that we are encouraged both to share our own opinions and to listen to others. Regardless of tenure, position or background, we can all learn from one another.

I enjoy the constant collaboration within recruiting and with people in other areas. I also appreciate that we look for ways to innovate and are not afraid to try something new.

03

Advice for new hires

Kristen encourages newcomers to observe, learn and meet colleagues. She also reminds them that their ideas matter.

My advice to a new hire is to keep your eyes and ears open: there is a lot to learn from your colleagues. Go to events and talks, perhaps join a social Slack channel, and get to know the people around you. Also, do not be afraid to speak up—you were hired for your ideas.

同じチャンネルの記事

1:48:29EN
JSJane Street· 2026年10月16日How AI Is Changing Programming: John Krazit and Ron MinskyRon Minsky, John Krazit · Jane StreetJane Street’s AI tooling lead and the Signals and Threads host examine agent infrastructure, security, code review and the changing experience of writing software.コーディングエージェントDeveloper productivity評価(Evals)+2
1:36:37EN
JSJane Street· 2026年9月23日Aaron Bauer on Teaching Software Engineering in the Age of AIRon Minsky, Aaron Bauer · Jane StreetHow learning goals, active practice and editor design shape engineering education when models can generate the code.AI in EducationSoftware engineeringEducation+2
スライド 9 枚1:05:45EN
JSJane Street· 2026年9月11日Cyrus Omar on Live Programming and a Computational Commons for Humans and AICyrus OmarA demonstration of Hazel shows how immediate feedback, structured collaboration and carefully scoped permissions could support people and AI agents working together.Programming LanguagesHuman-AI Collaboration開発ワークフローとテスト+2
1:25:00EN
JSJane Street· 2026年9月2日Eric Mannes on Turning Messy External Data Into Trading ResearchRon, Eric Mannes · Jane StreetFrom commodity futures and an Excel risk system to point-in-time datasets and AI, Eric Mannes explains the domain knowledge behind data engineering at Jane Street.Data quality & curation開発ワークフローとテストInvesting+2
スライド 7 枚1:16:29EN
JSJane Street· 2026年8月26日Grant Sanderson and Alok Puranik: Positional Encodings Through Group TheoryGrant Sanderson, Alok Puranik · 3Blue1BrownStarting with assumptions about attention, they derive matrix exponentials and connect rotations, decay and Jordan blocks to RoPE and ALiBi.Transformers & attentionMathematics機械学習の基礎+1
27:39EN
JSJane Street· 2026年8月21日3Blue1Brown and Jane Street on Trading, Machine Learning and CultureGrant Sanderson, Nitya, In Young, Craig, Alok · 3Blue1BrownGrant Sanderson talks with Jane Street colleagues about market making, shared compute, research and the paths that brought them to the firm.Machine LearningFintechCompany Culture+2