Blue Yonder Inventory Optimization

AlgoLeap Technologies Pvt Ltd.; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

AlgoLeap Technologies Pvt Ltd in Bengaluru is seeking a Domain Persona: Capital Allocation Quant & Stochastic Mathematician to drive advanced inventory optimization and capital allocation strategies. You will design multi-echelon stochastic models, absorb lead-time uncertainty and yield variance, and map service levels to high-, medium-, and low-margin SKUs.

Strong data auditing and the ability to present capital trade-off curves to corporate finance leaders are essential for shaping corporate

Qualifications

• Advanced mathematical modeling experience in stochastic processes.
• Experience presenting capital trade-off curves to finance leaders.
• Strong data auditing and validation capabilities for planning parameters.

Responsibilities

• Design multi-echelon stochastic models for MEIO frameworks.
• Absorb lead-time uncertainty, yield variances, and demand volatility.
• Configure optimization to map SLAs to high-, medium-, and low-margin SKU clusters.
• Present findings to corporate leadership with clear visuals.

Skills

Mathematical Modeling

Probability Distributions

Safety Stock

Data Auditing

Job description

Algoleap Technologies Pvt Ltd | Full time

Domain Persona: Capital Allocation Quant & Stochastic Mathematician

Key Core Tables: IOSERVICEGOAL, IOSAFETYSTOCK, IOSTATPARMS, SKUOPT

Differentiated Responsibilities:

Multi-Echelon Stochastic Modeling: Design and apply multi-echelon safety stock strategy (MEIO) frameworks

that mathematically absorb lead-time uncertainty, manufacturing yield variances, and structural demand

volatility.

Service-to-Investment Calibration:

Configure the IO optimization engine to establish dynamic, differentiated

Service Level Agreements (SLAs) mapped to high-, medium-, and low-margin customer-SKU clusters.

Target Role-Specific Experience & Skills:

Exceptional domain knowledge in mathematical modeling (Poisson, Normal distributions, safety stock curves)

mapped directly to corporate working capital targets.

Proven experience presenting capital trade-off curves to corporate finance leaders, illustrating how specific

service targets dictate inventory dollar holdings.

Strong data auditing capability to evaluate the health of core planning cycle parameters (replenishment