Previous Job
Quant Developer
Ref No.: 17-00016
Location: New York, New York
The Position

The Quantitative Developer will work closely with the Head of Investment Analytics and investment quant team to maintain and improve the team's code base, written in Python, used for research and investment. In addition to bringing significant technical expertise, this person will be expected to contribute to the underlying quantitative ideas behind the code.

The Quantitative Developer will be expected to also work on numerous other projects for the Investment team, as it continues to grow and improve its technical infrastructure, and to automate its processes where possible. These projects will include market data acquisition and management, research report generation, portfolio data management, and data visualization.

Primary Responsibilities
· Contribute to quantitative code base used by the investment team
· Work with senior team members to create and implement appropriate test cases for analytics
· Create documentation of code, data flow, and report generation
· Work with Risk and IT group to maintain a common quantitative code base and architecture that can be leveraged by the entire organization
· Provide recommendations to team to improve calculations and methodologies used in models
· Work with IT group to implement data feeds and database connectivity
· Gather requirements, document business processes, and participate in design and implementation of other Investment Team projects

Primary responsibilities - estimated percentage allocation
· 75% Quantitative development with Python using Pandas/Numpy
· 25% Other front office projects

The Candidate
Successful candidates will possess the following educational background, technical skills, business experience, and personal attributes.
· Education
o Masters degree in a quantitative discipline with a GPA of at least 3.5, though Bachelors with excellent work experience acceptable
· Technical Skills
o Strong programming experience with numerical libraries (Numpy/Pandas preferred)
o Experience with at least one statistical software package (scikit-learn or statsmodels preferred; Matlab or R acceptable)
o Strong Excel experience
o A basic knowledge of database design and queries
o Ability to pick up new technologies quickly

· Business Experience and Analysis
o Knowledge of a range of financial products and experience with a variety of derivatives asset classes; if lacking experience, must have ability to get up to speed quickly

o 1-3 years professional experience in at least 2 out of the following:
§ Programming
§ Mathematics
§ Finance (progress towards FRM/CFA preferred for candidates with no financial background)

· Decision Making/Problem Solving
o Shows clear analytical thinking and sound judgment; makes timely decisions based on analysis; demonstrates strong problem solving capabilities
· Communications
o Excellent interpersonal and communication skills are essential to interact with stakeholders, including PMs and IT team
o The ability to summarize and clearly articulate complex issues
o Experience developing presentations utilizing PowerPoint, Excel, and Word
· Initiative and Teamwork
o Ability to work together with multiple stakeholders across teams to successfully deliver projects
o Desire to work in a relatively level working environment where reporting lines are not necessarily hierarchical
o Motivation to succeed in a small, entrepreneurial environment and desire/willingness to take responsibility for getting things done in such an environment
o Ability to multi-task
o Strong work ethic

Initial Success Criteria

The successful candidate needs to hit the ground running, balancing short term tactical needs and longer-term in-flight projects. During the first six to twelve months the Junior Quantitative Developer will have learned enough about Investment team's business, processes and applications that he or she should have accomplished the following:
· Solid understanding of the complete quantitative code base
· Begun to suggest improvements to code and processes
· Is capable of executing small projects with minimal oversight
· Is working closely with the IT team to ensure successful project implementation

Update/Highlights/Ideal profile:

Post-graduate degree GPA of 3.7 or higher from top tier university, focus in Physics, Math, Programming, or Econ/econometrics, ideally perfect GRE Quant score

1-3 years of professional experience in 2 of the 3:
Finance (CFA/ FRM counts)
Programming/ Tech
(Past experience examples: Analytics, Quant, Data Analyst)

Most important- this person should be able to see themselves at our client, on this team, for 8-10 + years.