ALM Quantitative Developer

Reposted Yesterday
Be an Early Applicant
Budapest, HUN
In-Office
Mid level
Fintech • Financial Services
The Role
The ALM Quantitative Developer will upgrade simulation models using Python, develop new models, and work with quantitative analysts on financial projects.
Summary Generated by Built In

Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services. At Morgan Stanley Budapest, we are shaping the future of our global business and contributing to our local community. Our team works across numerous areas, including Technology, Mathematical Modeling, Finance, Risk Management, Operations and Data & Analytics from our new state-of-the-art offices near the Danube and our Millennium Buildings office in the heart of the city center.

The Morgan Stanley ALM team is part of FID London and serves the firm’s most prestigious institutional clients. The team is based in London and has a global mandate working with our partners in Europe, New York, Tokyo and Hong Kong. Currently, the team consists of a mixture of Actuaries, Accountants and PhDs, who work to develop cross-asset quantitative solutions, mindful of regulatory and accounting impacts.

You will:  

  • Upgrade parts of the team’s existing simulation models using Python code, integrating functionality with Morgan Stanley’s pricing system, and also to develop new models as needed.
  • Work with a Quantitative Analyst who has 15+ years of industry experience developing models for Pension Funds, Insurers & Banks.
  • The team has a cross-asset global mandate, so there is opportunity to work in all product areas of the Fixed Income trade floor.

You have:

  • Python developer with up-to-date skills.
  • Expertise in core Python with Python scientific stack/ecosystem (incl pandas, numpy, scipy, stats).
  • Experience structuring and developing complex code bases.
  • Be able to effectively translate the teams need into software product requirements.
  • Strong mathematics and finance skills, with experience working with quantitative methods/probabilistic modelling.
  • Knowledge and experience working with C++/Delphi is beneficial.
  • Degree in a quantitative area or engineering such as Mathematics, Physics, Computer Science, etc

About us:

Morgan Stanley provides a superior foundation for building a professional career - a place to learn, grow and achieve. You will be exposed to a truly international and multi-cultural environment that appreciates and respects who you are as a person. Our state-of-the-art offices in the City Centre have been designed to maximize collaboration. 

BPMM #LI-NB1 #LI-hybrid

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 opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

Skills Required

  • Expertise in core Python and the scientific ecosystem
  • Experience developing complex code bases
  • Strong mathematics and finance skills
  • Knowledge of C++/Delphi is beneficial
  • Degree in a quantitative area or engineering

Morgan Stanley Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.

  • Parental & Family Support Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
  • Healthcare Strength Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
  • Equity Value & Accessibility Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.

Morgan Stanley Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
87,899 Employees

What We Do

Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.

Similar Jobs

Teya Logo Teya

Customer Relations Agent (Hungarian/English Speaker)

Fintech • Payments • Financial Services
Hybrid
Budapest, HUN
1000 Employees

Ericsson Logo Ericsson

Senior C++ Developer

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
In-Office
Budapest, HUN
88000 Employees
840K-840K Annually

Mondelēz International Logo Mondelēz International

Manager, Project & Program Mgt, Project Management

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Remote or Hybrid
6 Locations
90000 Employees

BlackRock Logo BlackRock

Vice President, Analytics Specialist (NE)

Fintech • Information Technology • Financial Services
In-Office
Budapest, HUN
25000 Employees
20M-32M Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account