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Vice President, Algorithmic Trading C++ Software Engineer - IST

Morgan Stanley

Vice President, Algorithmic Trading C++ Software Engineer - IST

Morgan Stanley

Hong Kong, Hong Kong

·

On-site

·

Full-time

·

2mo ago

About Morgan Stanley 
 

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
 

Morgan Stanley is looking to hire a C++ Software Engineer into its Algo in Hong Kong. This job involves designing, implementing, and deploying sophisticated software systems that perform automated valuation and trading for most of major Asian markets.

The ideal candidate will have strong C++, experience in building low latency systems, good communication skills with an understanding of modern software engineering paradigms used at scale.

Experience in financial markets and market making is desired.
 

Responsibilities:

  • Work closely with our business partners in sales and trading, risk management, compliance, operations, research and other technology teams at Morgan Stanley.

  • You will work the full application life-cycle in a fast-paced, high-stakes agile development environment.

  • This is a hands-on role in a global team doing continuous delivery across many global markets, so you will also have to communicate with global colleagues.
     

Qualifications

  • At least 9 years of C++ development knowledge in a UNIX/Linux environment; Candidates with less experience will also be considered

  • Strong experience with C++ profiling and performance analysis tools.

  • Experience building low latency trading engines and algorithms in C++ using STL/Boost/Multithreading for a Unix/Linux platform Experience in developing system for Algo Engine / SOR / Electronic Trading / market making business 

  • Knowledge and experience on agile software development practices

  • Scripting Python and KDB/Q experience is an advantage

  • Candidates with less experience will also be considered

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.

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