Quantitative Research Intern
New York City
Invesco
Invesco Corporate is home to our latest company news, financials, and business updates. Learn how we are committed to creating greater possibilities for our clients.As one of the world’s leading asset managers, Invesco is dedicated to helping investors worldwide achieve their financial objectives. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world.
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Job DescriptionWhat we do:
Invesco is seeking a Quantitative Research Intern in New York City for the Multi Asset Strategies Team (MAS).
Your Role:
Develop and enhance quantitative and factor-based investment strategies for institutional and retail clients globally.
Help investigate, explore, and identify tools, techniques, and metrics offering greater insight & perspective on portfolios to enhance value-add to clients.
Help manage information including data and other analytics.
Participate in the development and evolution of alpha and portfolio construction of strategies.
Perform rigorous research and statistical analysis for all aspects of strategy development and ongoing management
Experience you bring:
Very strong analytical and mathematical skills, including optimization techniques
Good coding skills with extensive hands-on experience in R, Python or other languages.
Experience working in cloud-based environments such as AWS is a plus
Excellent working knowledge of econometrics and statistics including time-series analysis
Experience with financial databases such as Compustat, Worldscope, DataStream etc. and risk and optimization tools such as Axioma, Barra
Passion for quantitative, research driven investment management
Results oriented, with strong emphasis on high-quality execution
Strong demonstrated written and verbal communication skills
Ability to communicate effectively with a range of constituents, including other quantitative researchers and portfolio managers, client portfolio managers, distribution teams, intermediaries, and clients
Highly motivated and determined individual able to work collaboratively across groups while staying focused on execution of the core research function
Team player who reliably and responsibly fulfills their area of responsibility
Candidates will have an excellent academic background
Demonstrated academic excellence including high GPAs and standardized test scores
Working towards advanced degree in a quantitative (economics, finance, computer science or applied mathematics) field
At Invesco, our workplace model supports our culture and meets the needs of our clients while providing flexibility our employees value. As a full-time employee, compliance with the workplace policy means working with your direct manager to create a schedule where you will work in your designated office at least three days a week, with two days working outside an Invesco office.
What’s in it for you?
Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:
Flexible paid time off
Hybrid work schedule
401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
Health & wellbeing benefits
Parental Leave benefits
Employee stock purchase plan
The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.
Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
Tags: AWS Computer Science Econometrics Economics Finance Mathematics Python R Research Statistics
Perks/benefits: Equity / stock options Flex hours Flex vacation Health care Parental leave
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