Blue Yonder Inventory Optimization

Algoleap Technologies; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Algoleap Technologies Pvt Ltd is seeking a Capital Allocation Quant & Stochastic Mathematician to design multi-echelon safety stock strategies that absorb lead-time uncertainty and yield variances, and to calibrate service levels against capital targets.

The role requires deep expertise in mathematical modeling and strong data auditing to ensure planning cycle health and drive inventory optimization across corporate targets.

Qualifications

• Proficient in advanced mathematical modeling techniques and statistical distributions.
• Experience applying Poisson and Normal distributions to planning problems.
• Ability to design and tune safety stock curves for capital efficiency.

Responsibilities

• Design and apply multi-echelon stochastic modeling frameworks for safety stock.
• Configure IO optimization to map SLAs to customer-SKU clusters based on margin.
• Present capital trade-off curves to leadership showing inventory dollar implications.

Skills

Mathematical modeling

Stochastic processes

Inventory optimization

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