Sobre este puesto de Quantitative Developer, IED, São Paulo- Brazil en Morgan Stanley
The Institutional Equity Division (IED) is a global leader in the origination, distribution, and trading of equity, equity-linked, and equity-derivative securities. Our Equity Sales & Trading business provides liquidity, delivers market insights, and develops innovative product solutions for institutional clients worldwide.
We offer the opportunity to work alongside some of the most accomplished professionals in the industry, in an environment that values individual excellence as much as collaboration. Our projects are intellectually challenging, and our culture strongly emphasizes continuous learning, knowledge sharing, and teamwork.
The Opportunity
As a Quantitative Developer, you will work at the intersection of technology, quantitative research, and trading. You will be responsible for designing and building robust, high-performance systems that support research, pricing, and live trading activities.
Key responsibilities include:
Solving complex technical and quantitative problems, including the development of high-performance trading applications, optimization frameworks, and risk management systems.
Partnering closely with quantitative researchers and traders to understand business models and revenue drivers.
Enhancing pricing and trading models and automating the end-to-end pipeline from research to production.
Contributing to the design, scalability, and reliability of systematic trading platforms used in live market environments.
Skills & Experience
Strong analytical, quantitative, and problem-solving skills, with a passion for building efficient and scalable software solutions for research and systematic trading.
Proficiency in C++ and/or Java, with a solid understanding of data structures and algorithms.
Experience with distributed systems, low-latency trading platforms, system design, optimization, and networking.
Knowledge of exchange connectivity and order management systems; familiarity with execution and/or market-making algorithms is highly desirable.
Exposure to KDB and/or Python is a plus, but not mandatory.
Familiarity with portfolio optimization techniques and numerical libraries is an advantage.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. 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.
We're committed to bringing passion and customer focus to the business.
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.