トレンド企業

Morgan Stanley
Morgan Stanley

Leading company in the financial services industry

Python Software Engineer - GenAI Platforms

職種エンジニアリング
経験ミドル級
勤務地Budapest, Hungary
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

福利厚生

健康保険

401k

フレックスタイム

Learning Budget

必須スキル

Python

LLMs

RAG

API design

Data pipelining

Cloud platforms

  • We’re seeking someone to join our Analytics & Data tech team as a Python Software Engineer
  • GenAI Platforms in Wealth Management Technology.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Python Software Engineer position which is part of the job family responsible for developing and maintaining software solutions that support business needs.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you'll do in the role:

  • Design and build distributed, scalable, and reliable AI platforms and use cases

  • Integrate with other platforms and data sources through designing and implementing APIs

  • Collaborate with other teams to design and develop data tools that support both operations and product use cases.

  • Prototype and showcase AI use cases

  • Be able to complete Po Cs and smaller engagements on their own

  • Perform analysis of data, logs, architecture requirements to support building of the platform and tools

  • Evaluate technologies, participate in PoC and prototyping solutions to improve our capabilities

  • Work with vector databases to build performant RAG solution

What you'll bring to the role:

  • At least 6 years’ relevant experience would generally be expected to find the skills required for this role

  • Hands-on programming Python (or Java with python at least) – ideally as backend/full stack engineer

  • Experience designing and implementing large, distributed platforms

  • Knowledge of various components of public and private cloud ecosystems and experience in applying them to practical problems

  • Experience in data manipulation, pipelining and MPP systems and concepts

  • Stable knowledge of base concepts and methods around LLMs (RAG, Prompting, etc)

  • At least personal hands-on experience with LLMs

  • Ability to drive ideas to end results by collaborating and involving the people needed to reach consensus

#BPTECH

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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Morgan Stanleyについて

Morgan Stanley

Morgan Stanley is an American multinational investment bank and financial services company headquartered at 1585 Broadway in Midtown Manhattan, New York City.

10,001+

従業員数

New York

本社所在地

$150B

企業価値

レビュー

10件のレビュー

4.1

10件のレビュー

ワークライフバランス

2.8

報酬

4.2

企業文化

3.7

キャリア

4.1

経営陣

2.9

75%

知人への推奨率

良い点

Great learning opportunities and experience

High salary and bonuses

Good team dynamics and supportive colleagues

改善点

Long hours during peak times

High stress and overwhelming environment

Work-life balance issues

給与レンジ

6,221件のデータ

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

49件のレポート

$109,250

年収総額

基本給

$95,000

ストック

-

ボーナス

-

$73,554

$143,750

面接レビュー

レビュー6件

難易度

3.2

/ 5

期間

21-35週間

面接プロセス

1

Application Review

2

HR Screen/HireVue

3

Technical/Behavioral Interviews

4

Superday/Final Round

5

Onsite Interview

6

Offer Decision

よくある質問

Technical Knowledge

Behavioral/STAR

Investment/Finance Concepts

Case Study

Culture Fit