Model Risk Management, Equity Derivatives Pricing Model Validation at Morgan Stanley

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model Validation, Pricing Models, Risk Management, Quantitative Analysis, Stochastic Calculus, Equities Pricing, Financial Markets, Model Testing, Model Documentation, Interpersonal Skills, Communication Skills, Coding, Python, Collaboration, Analytical Thinking, Problem Solving

Industry

Financial Services

Description

Perform model validation of complex and state-of-the-art pricing models used by the Equities Trading Business used for daily valuation and risk management of trading positions Assess if the models are conceptually sound, fit for purpose, whether the model assumptions and limitations are identified and adequately controlled Ensure that model testing performed by model developers is appropriate and sufficient and the model documentation is adequate Perform independent model testing and ensure that adequate model performance monitoring is performed Identify potential model-related risks and escalate to management Work closely with model developers, market risk managers and valuation controllers to understand the models and the business context in which the models need to perform appropriately, and provide effective challenges to make sure models are fit for purpose Summarize the model validation process and outcome in writing in the model validation report Conduct on-demand analyses of model performance and model risks Work as part of a global team with colleagues based in London and New York MSc or PhD in a STEM area or Finance Strong quantitative background, familiarity with stochastic calculus 0-10 years of experience in a relevant area relating to derivative pricing models Experience in Equities pricing models is a plus Genuine and broad interest in financial markets Internal drive to effectively challenge and improve models with a quantitative and practical mindset Clear thinking, good business sense and judgment Strong interpersonal and communication skills, proactive and collaborative attitude Experience in coding in a high-level language such as Python is a plus 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

Perform model validation of complex pricing models for the Equities Trading Business and ensure they are conceptually sound and fit for purpose. Work closely with model developers and risk managers to identify model-related risks and summarize the validation process in reports.