Company
Asset Management
Associate,QuantDataOperations
Neural analysis suggests this role is
optimal for Mid candidates.
“Associate, Quant Data Operations. Skills: SQL, Python, R, Fixed Income. Provide analytic solutions. Provide data management services”
What You'll Achieve.
Ensure timely and accurate investment intelligence is delivered; Meet objectives under minimal supervision
Industry & Context.
Highly analytical; Ability to quickly comprehend large data sets
What They're Looking For.
Must Have
Bachelor’s degree in finance, math, accounting, engineering, or computer science, 2 plus years of experience in an investment data analytics capacity, Advanced level SQL, Programming in Python or R
Nice to Have
Master’s Degree, CFA Charter
What You'll Do.
Provide analytic solutions
Provide data management services
Lead development efforts
Expand technical infrastructure
Enhance reporting capabilities
Deliver data visualization
Deliver analytic tools
Illustrate investment themes
Illustrate portfolio exposures
Illustrate performance factors
Oversight analytic environments
Maintenance analytic environments
Quality assurance analytic environments
Operational support analytic environments
Respond ad-hoc data analysis
Contribute development non-traditional data
Contribute development unstructured data
Contribute development data science applications
Enhance research process
Enhance investment process
Traverse database schemas
Develop customized quantitative tools
Develop new processes
Produce new reporting capabilities
Liaise with investment professionals
Manage deliverables technical teams
Monitor quality analytics
Monitor quality reports
How You'll Work.
Team & Collaboration
Work as integral part of small project teams; Collaborate across teams; Partner with quant analysts; Partner with technology partners
Communication Scope
Able to communicate effectively with key stakeholders
Process & Methodology
Hands-on project leadership skills, Drive to complete projects, Led small to medium sized projects
Full Job Description
## ## Job Description: **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. Together with their partners in the technology and research divisions, members of this organization work as an integral part of small project teams to deliver innovative data visualization and analytic tools capable of illustrating current and time series investment themes, portfolio exposures, and factors driving fund performance. In addition to their project work, associates are also responsible for the oversight, maintenance, quality assurance and operational support of analytic and reporting environments to ensure timely and accurate investment intelligence is delivered for direct use within the portfolio management process. **** **The Experience and Skills you bring** * A Bachelor’s degree in finance, math, accounting, engineering, or computer science. Master’s Degree and/or CFA Charter are strongly desired. * 2 plus years of experience in an investment data analytics capacity with a focus on Fixed Income. * 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. * 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 r
Applying for this Associate, Quant Data Operations role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about this company?
Real rants from real employees. Read before you apply.