You will:#LI-FT1

•Develop and maintain the capital planning models to satisfy various regulatory and internal risk management requirements (Basel/CCAR/ICAAP/Quarterly Stress Tests). This requires thorough knowledge of statistical analysis of financial data and a good understanding of the various macroeconomic or market factors that impact the evaluation of operational risk. •Support internal operational risk management by deriving actionable insights from data and leveraging quantitative and statistical techniques such as Generalized Linear Models, extreme value theory (EVT), VaR models and time series analysis. •Write high-quality model documentation compliant with the firm's internal model governance policy, audit requirements, and the industry regulation (e.g., FRB, OCC, ECB and PRA). •Closely work with stakeholders to provide regular ongoing model performance assessments, perform periodical production runs, review analysis results with senior management and provide recommendations. •Support dashboard building and any other automation efforts.

You have:

•Bachelor or Master's degree in a quantitative discipline (e.g., statistics, financial engineering, physics, mathematics, economics) •Statistical skills such as regressions, and simulations. •Familiarity with mainstream data processing and modeling programming languages (Python is preferred, R and Matlab) •Team player with strong interpersonal and communication skills

You might also have:

•Familiarity with Basel capital and Stress capital model framework (preferred) •Hands-on experience with regulatory capital model development practice in large financial institutions (preferred)

Team Profile:

Professionals within the Non-Financial Risk Division provide a wide range of services to our business units. They might help to structure a complex and sensitive cross-border transaction; advise on a new product introduction; develop a training program or manage the operational risk for the firm. They form the second line of defence for management of the firm's non-financial risk. They also strive to maintain cooperative relationships with governmental policy makers and the regulatory and self-regulatory agencies that govern the firm's capital planning practice for the non-financial risk. Non-Financial Risk (NFR) Data & Analytics function is responsible for designing and optimizing models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, time series and statistical analysis.BPMM

About us:

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 Modelling, Finance, Risk Management, Operations and Data & Analytics from our new state-of-the-art offices near the Danube and our City Gate office in the heart of the city center.

Learn about our culture and the opportunities for professional growth at Morgan Stanley Budapest:
Build a career with impact. Visit morganstanley.hu or LinkedIn for more information.

/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 maximise 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. /

Job: *Compliance

Title: *Non-Financial Risk DATA SCIENTIST Associate *

Location: Europe, Middle East, Africa-Hungary-Budapest-Budapest

Requisition ID: 3257543