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Quant-Valuation Model Review (Various seniority levels)

Morgan Stanley

Quant-Valuation Model Review (Various seniority levels)

Morgan Stanley

Budapest, Budapest, Hungary

·

On-site

·

Full-time

·

3w ago

Benefits & Perks

Healthcare

401(k)

Flexible Hours

Remote Work

Parental Leave

Learning Budget

Gym

Healthcare

401k

Flexible Hours

Remote Work

Parental Leave

Learning

Gym

Required Skills

Python

C++

R

Statistical modelling

Stochastic calculus

Join Our Team:

Are you ready to take your career to the next level with one of the world's leading financial institutions? Morgan Stanley is seeking dynamic and skilled Valuation Control Model Reviewers on various seniority level to join our esteemed Finance department. This is your opportunity to work at the forefront of financial innovation, where your expertise will directly impact the valuation of complex financial instruments and exotic derivatives.

About Us:

Our Valuation Control Model Control teams are pivotal in ensuring the accuracy and integrity of our financial models. We are responsible for the rigorous review and assessment of complex mathematical models, providing technical advisory to Finance and Valuation Control mark review line teams. Our work spans global markets, offering you the chance to collaborate with top professionals in New York, London, Hong Kong, and beyond.

Your Role:

· Innovative Analysis: Develop and apply quantitative techniques to analyse novel and unconventional trades, enhancing your market intuition. Analyse pricing factors in complex financial products and assess the impact of market movements on the portfolio and the firm.

· Model Development: Design and implement complex quantitative models to predict market trends, price securities, and assess risk.

· Expert Review: Utilize your financial market and mathematical knowledge to review valuation and risk models, collaborating with model developers.

· Collaborative Engagement: Work closely with trading teams, front office quants, and the risk department to refine marking methodologies and model frameworks.

Your Background:

· Data Analysis & Programming: proficiency in programming (Python, C++, R), data analysis, and statistical modelling, stochastic calculus

·

Financial Knowledge: Understanding of financial markets, derivatives, and asset pricing.

· Communication: Ability to explain complex mathematical concepts to non-technical stakeholders.

· Problem solving: Approach proactively new challenges in a dynamic environment with shifting priorities.

What We Offer:

· Global Exposure: Engage with Morgan Stanley offices worldwide, including New York, London, Paris, Hong Kong, and Tokyo, in a collaborative and inclusive environment.

· Professional Growth: Access world-class internal training and support for professional qualifications, enhancing your career development.

·Flexible Work Arrangements: Enjoy core working hours and the flexibility to work from home, supporting your work-life balance.

· Competitive Compensation: Benefit from a competitive salary, annual bonus eligibility, a fully funded sports package, healthcare plan, and a firm contribution to a voluntary pension fund.

·

Comprehensive Benefits: Take advantage of 16 weeks of paternity leave and other comprehensive benefits designed to support your well-being.

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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About Morgan Stanley

Morgan Stanley

A financial services company that offers securities, asset management, and credit services.

10,001+

Employees

New York

Headquarters

Reviews

3.5

4 reviews

Work Life Balance

3.0

Compensation

2.5

Culture

3.2

Career

3.0

Management

3.0

35%

Recommend to a Friend

Pros

Skills evaluation through business plans and projects

Direct access to senior leadership interviews

Conversational interview format

Cons

Automated resume screening system issues

Focus on formatting over qualifications

Compensation concerns and salary expectations

Salary Ranges

11,766 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

1,682 reports

$114,371

total / year

Base

$96,366

Stock

-

Bonus

$18,005

$77,808

$170,800

Interview Experience

6 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Experience

Positive 16%

Neutral 84%

Negative 0%

Interview Process

1

Initial screening (HR/HireVue)

2

Technical rounds

3

Manager/Senior leadership interviews

4

Final round/Superday

Common Questions

Technical knowledge assessment

Behavioral questions

Role-specific scenarios

Leadership and teamwork examples