FID, Municipal Securities, Desk Strat - Associate at Morgan Stanley

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

200000.0

Posted On

09 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Quantitative Methods, Data Analysis, Dashboard Design, Web-Based Tools, Trading Strategies, Hedging Frameworks, Portfolio Composition, Python, Pandas, Numpy, Javascript, Kdb, Random Forest, Logistic Regression, Financial Instruments, Storytelling with Data

Industry

Financial Services

Description

Drive the development, optimization, and monitoring of bond-trading algorithms using machine learning and quantitative methods. Analyze and track profit and loss (P&L) to identify opportunities to improve performance and reduce risk. Design, build, and maintain intuitive dashboards and web-based tools to visualize trading activity, financial exposure, and portfolio performance in real time. Collaborate directly with traders to transform data-driven insights into actionable trading strategies. Work on hedging frameworks, portfolio composition, and strategy evaluation using large-scale market and transaction data. Continuously test hypotheses, measure outcomes, and iterate toward higher alpha and efficiency. 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 Knowledge of kdb Machine learning algorithms such as random forest and logistic regression knowledge of American Football and golf very helpful, (ice hockey also gets a pass) 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. 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. Expected base pay rates for the role will be $150,000 to $200,000 per year at the commencement of employment. 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.

Responsibilities

Drive the development, optimization, and monitoring of bond-trading algorithms using machine learning and quantitative methods. Collaborate directly with traders to transform data-driven insights into actionable trading strategies.