Company Profile:
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.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
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Department Profile:
The Fixed Income Division (FID) is comprised of Interest Rate and Currency Products, Corporate Credit, Muni Products, and Securitized Product Group. Professionals in the Division assess and actively manage risk, trade securities, and structure as well as execute innovative transactions in the fast-paced and constantly changing global markets. The Municipality Division is a market leader across a broad range of markets, with expertise in areas including Sales & Trading, Muni Capital Solutions, Muni Capital Markets, and Public Finance.
Job Description:
We are building large scale, bond electronic trading algorithms using neural nets. We already have version 1 up and running and we're actively working on version 2.
We are looking for a person to help drive this system. You will be expected to help keep track of profit and loss and suggest ways to improve profit and/or reduce losses. You will build and maintain websites which monitor trading activity, financial risk, and profit (and sometimes loss, but hopefully not so much of that). There is a ton of data, and you will be expected to strategize with the traders and flesh out ideas with the facts, while also working out hedging and portfolio composition/ strategies.
The job is onsite, in central Manhattan, 8:00 AM - 5:00 PM.
Required Skills:
- MFE degree and/or of 3+ years experience working as a desk strategist/quant
- Bachelor's degree in computer science, mathematics, physics or equivalent
- Working knowledge of probability / statistics
- Enjoy telling stories with data
- Knowledge of financial instruments such as bond, TRS and futures
- Excellent sense of humour
- Experience with python, pandas, numpy and Javascript
Beneficial Skills:
- Knowledge of kdb
- Machine learning algorithms such as random forest and logistic regression
- knowledge of American Football very helpful, (ice hockey also gets a pass)
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.
Expected base pay rates for the role will be $150,000 to $200,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).