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About the Role

Fixed Income Quantitative Research Services provides analytic solutions and data management services to teams in quantitative research, portfolio management, and senior leadership roles across Asset Management. This specialized team leads development efforts to expand and enhance the technical infrastructure and reporting capabilities associated with single security fixed income analytics, multi-factor model risk forecasting, big data analytics, and performance attribution. Members work as an integral part of small project teams to deliver innovative data visualization and analytic tools. Associates are also responsible for the oversight, maintenance, quality assurance, and operational support of analytic and reporting environments.

Responsibilities

Perform business, systems, and data analysis, process design, and acceptance testing across projects that require new research content, investment analytics, and/or produce additional reporting capabilities for investment professionals.
Oversee daily/weekly/monthly production reporting cycles across the analytic environments.
Ensure all required input data is available, processes run successfully, statistical output is accurate, and reports are generated properly.
Respond to ad-hoc data analysis requests in support of projects performed by Quantitative Research Analysts.
Respond to frequent high priority inquiries from other senior investment professionals.
Contribute to the continued development and incorporation of non-traditional and/or unstructured data as well as data science applications to enhance the research and investment process.
Liaise with investment professionals to gather requirements and manage deliverables of technical development teams.
Actively monitor the quality of the security and fund level analytics and reports.

Requirements

Develop deep understanding across all aspects of Fixed Income quant research including model construction, factor definitions, factor calculations, security analytics and translating output statistics into meaningful information used within the portfolio management function.
Advanced level SQL and ability to traverse a wide array of database schemas across diverse content sets.
Highly analytical with the ability to quickly comprehend large data sets in order to develop new processes, perform calculations, identify anomalies, and/or produce new reporting capabilities.
Hands-on project leadership skills with the drive to complete projects as a part of small teams within an extremely fast paced environment.
Highly proactive, collaborative and self-motivated with the ability to meet objectives under minimal supervision.
Demonstrated history as a top performer working in a data analysis role where technical skills were required.
Successfully led small to medium sized projects in a fast-paced environment.

Skills

Fixed Income
Python
R
SQL
Quantitative analytics
Fund and index performance measurement
Predictive risk modeling
Alpha research
Stock selection models
Performance attribution
Fixed income securities
Corporate actions
Financial statement analysis
Street estimates
Pricing and performance data
Written and verbal communication

Experience Level

2 plus years of experience in an investment data analytics capacity with a focus on Fixed Income.

Education Level

Bachelor’s degree in finance, math, accounting, engineering, or computer science.
Master’s Degree and/or CFA Charter are strongly desired.

About the Company

The Fixed Income Quant Services team works on improving the analytics and risk platform as well as quant processes by collaborating across teams and driving the engagement.
Leverage strong technology and domain skills to understand business requirements, partner with quant analysts in testing model prototypes and work with technology partners in driving the implementation of said models.