Senior Quantitative Researcher

Job in Bridgewater, Somerset County, New Jersey, 08807, USA

Listing for: Axelon Services Corporation

Full Time position
Listed on 2026-06-18

Job specializations:

Finance & Banking
Mathematics, Data Scientist

Salary/Wage Range or Industry Benchmark: 45 - 50 USD Hourly USD 45.00 50.00 HOUR

Pay Rate: $45 - $50 Per hour Summary:

Location: Bridgewater, NJ
Work Mode: 3 to 5 days a week in office

Responsibilities:

Develop mixed integer nonlinear programming (MINLP) models for portfolio allocation, including cardinality constrained portfolios and transaction cost modeling.
Implement optimization models using Python (Pyomo, CVXPY, Gurobi interfaces), AMPL, GAMS, or JuMP.
Apply global and local solvers such as BARON, Couenne, SCIP, Knitro, and Ipopt to solve non-convex allocation problems.
Build custom heuristics, relaxations, or decomposition approaches to improve scalability for large universes.
Integrate optimization models into portfolio management systems and backtesting frameworks.
Conduct scenario analysis, stress testing, and sensitivity analysis on optimized portfolios.
Collaborate with investment teams to translate portfolio constraints and investment policies into mathematical formulations.
Document methodologies and present results to quantitative researchers, portfolio managers, and risk teams.

Requirements:

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 for modeling and data analysis.
Familiarity with portfolio theory, risk modeling, and financial instruments.
Ability to work with large datasets and high dimensional optimization problems.
Understanding of convexity, duality, and numerical stability in optimization.

Preferred Skills:

Graduate degree (MS/PhD) in a quantitative field.
Experience with multi-period or stochastic asset allocation, robust optimization, or scenario-based modeling.
Machine learning-driven return or risk forecasting.
Background in institutional investing, hedge funds, or asset management.

AXEL
01

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