What are the responsibilities and job description for the Senior Quantitative Researcher position at Hays?
Job Title: Senior Quantitative Researcher
Role Overview
We are seeking a highly skilled Senior Quantitative Researcher to design and implement advanced mixed-integer nonlinear optimization (MINLP) models that power portfolio construction and asset allocation strategies. This role sits at the intersection of quantitative finance, optimization theory, and large-scale computational modelling.
You will develop sophisticated models incorporating real-world investment constraints, nonlinear risk measures, and discrete decision-making to support both strategic and tactical portfolio management.
Key Responsibilities
- Design and develop MINLP-based portfolio optimization models, including:
- Cardinality-constrained portfolios
- Transaction cost modelling (fixed and nonlinear)
- Nonlinear risk measures (e.g., downside risk, CVaR approximations, drawdown constraints)
- Discrete investment rules (lot sizes, min/max holdings, leverage constraints)
- Implement models using tools such as:
- Python (Pyomo, CVXPY, Gurobi interfaces)
- AMPL, GAMS, or Julia (JuMP)
- Apply global and local optimization solvers, including:
- BARON, Couenne, SCIP, Knitro, Ipopt
- Develop scalable solutions for large asset universes via:
- Custom heuristics
- Relaxations
- Decomposition techniques
- Integrate optimization models into portfolio management systems and back testing frameworks
- Perform scenario analysis, stress testing, and sensitivity analysis
- Collaborate with investment and risk teams to translate portfolio constraints into mathematical formulations
- Document methodologies and communicate results to stakeholders
Required Qualifications
- Strong background in optimization, quantitative finance, operations research, or applied mathematics
- Experience with nonlinear programming, mixed-integer programming, and global optimization
- Proficiency in Python or Julia
- Familiarity with portfolio theory, risk modelling, and financial instruments
- Ability to work with large datasets and high-dimensional problems
- Understanding of convexity, duality, and numerical stability
Preferred Qualifications
- Graduate degree (MS/PhD) in a quantitative field
Experience with:
- Multi-period or stochastic asset allocation
- Robust optimization or scenario-based modelling
- Machine learning for return or risk forecasting
- Background in institutional investing, hedge funds, or asset management
Regards,
Akansha Pandey
Recruiting Partner
Americas Recruiting – Technology
HAYS Working for your tomorrow
Email- Akansha.Pandey11@Hays.com
Direct Number – (813)-280-4169
Salary : $45 - $51