Quantitative Developer in the Market Risk Analytics, Engineering team at Morgan Stanley

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Software Design, Development, Risk Management, Financial Markets, Business Acumen, Problem-Solving, Interpersonal Skills, Communication Skills, Financial Concepts, Pricing Models, Risk Management Models, Regulatory Guidelines, Team Collaboration, Code Development Standards

Industry

Financial Services

Description

Design, develop and maintain Python models and tooling to enhance the Firm's risk management processes and provide new insights for risk managers. Take ownership of the planning and execution of assigned projects, in close collaboration with other members of our global team as well as our support functions. Collaborate with risk managers, model reviewers, technology support teams and other stakeholders. Act as a role model of practical and sustainable code development standards within the wider Risk Analytics team. 5+ years of relevant work experience. A graduate degree (master's or Ph.D.) in a quantitative field such as Mathematics, Mathematical Finance, Physics, Computer Science, Statistics, Econometrics or Engineering. Strong software design and development skills in Python. Good understanding and experience of modern software development processes and best practices. Demonstrated interest in financial markets and the banking industry. Strategic mindset with strong business acumen and creative problem-solving skills. Excellent interpersonal and communication skills in both written and verbal English, with the ability to effectively communicate with both technical and non-technical stakeholders. Experience with developing an interconnected codebase as part of a larger team is a good to have Good understanding of financial concepts and product types. Familiarity with financial models of pricing and risk management is desirable Ability to translate regulatory guidelines on market risk model development standards into practical requirements is good to have 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. 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. 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? Speak to our recruitment team to find out more. 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.

Responsibilities

Design, develop and maintain Python models and tooling to enhance the Firm's risk management processes. Collaborate with risk managers and other stakeholders to provide new insights for risk managers.