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Skill set
| 1. PURPOSE/OBJECTIVE:
As a Principal Quant Developer this individual will play a key role in designing and delivering enterprise investment risk management solutions. The role will work closely with quantitative analysts and portfolio managers, as well as various technology disciplines in a rapid, highly iterative delivery model. A qualified candidate will be bright, highly motivated and self-starting, able to lead efforts within a small dynamic team, as well as work productively on independent assignments; and will be well versed in portfolio management concepts, with a track record of supporting research and delivering software components that apply financial mathematics. Additionally, this individual is a skilled engineer capable of moving seamlessly between iterative prototyping and enterprise strength application development.
While delivery may involve automating or engineering, it will also come in the form of troubleshooting and support, reverse engineering requirements and documentation. The demands are dynamic, thus a comfort level working across technologies and with ambiguous requirements is essential.
SAI is the registered investment adviser and wholly owned subsidiary of FMR LLC. In addition to investment management, SAI specializes in investment risk management, portfolio analytics, asset/liability modeling, and investment planning tools for individual investors. As the technology team for SAI, AAT builds and supports investment management, research and operations platforms, offering scalable solutions for model and managed account products.
2. Primary RESPONSIBILITIES:
The AAT Database development team is responsible for the development and support of the data environment on behalf of Global Asset Allocation (GAA) business. The data environment provides the foundation for GAA integration with FMR, Fidelity Retail, FESCo, and external data providers. The efforts of this group are critical to the Database Services success in that it will support investment management, operational support, quantitative analysis, and new product development. The data will include areas such as fund holdings, trades, performance data, market data, portfolio models, and client portfolios.
DB Quant Developer responsibilities include:
· Helping design, develop & validate custom tools for Investment Professionals
· Support & maintain existing functionality & tools.
· Support the needs of our investment professionals and senior management in the areas of custom tools development, data analysis & information representation
· Focus on process to improve efficiency, present innovative recommendations and implement resolutions across the team.
· Gather and understand internal client reporting requirements and translate into technical implementation and related documentation.
3. REQUIREMENTS:
Education
· BS or MS in Computer Science or related degree, or equivalent experience
· Progress in CFA curriculum, MS Finance, MFE, advanced math degree or equivalent experience is a plus
Experience, Skills and Knowledge
Extensive experience with Oracle and PL/SQL
Logical data modeling and relational database design experience using CASE tools like Oracle Designer or PowerDesigner
Data movement and ETL experience (Informatica) is a plus
Financial systems knowledge (preferably brokerage or mutual fund knowledge with an emphasis on portfolio modeling/allocation, ETFs, fund-of-funds, separate account management, etc.)
UNIX Shell scripting experience is a plus
Experience dealing with market data providers, i.e. Morningstar, Lipper, Bloomberg, Factset, is a plus
Comfortable with multiple database concepts, i.e. RDBMS, OODB, ODS, Warehouse
Data warehousing knowledge and experience
Experience with one or more of the following (R, SAS, S-Plus, Stata, Matlab) is a plus
· Experience in data acquisition/mining, model and application development in a quantitative research environment
· Working knowledge of financial instruments and pricing theory, modern portfolio therory
· Strong math skills with exposure to numerical analysis, statistics/regression analysis, optimization techniques
· Work with minimal supervision directly with investment professoinals
Strategic thinking skills
Strong oral and written communication skills
Strong interpersonal skills
Strong client focus and results orientation |
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