Stanford Black Limited
Senior Software Engineer – Commodities Risk Technology (Power & FTR Analytics)
Stanford Black Limited, New York, New York, us, 10261
Senior Software Engineer – Commodities Risk Technology (Power & FTR Analytics)
This range is provided by Stanford Black Limited. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
$180,000.00/yr - $250,000.00/yr
We’re hiring a senior engineer to help build the next generation of cloud‑native commodities risk and analytics platforms. This is a hands‑on role working directly with PMs, Risk, and Quants across global commodities including power markets and FTR‑related analytics.
If you’re excited by large‑scale distributed systems, complex modelling, and learning the nuances of energy markets, this is a high‑impact role at the centre of the business.
What You’ll Do
Build high-performance risk, pricing, and P&L systems
Develop large-scale data pipelines and simulation engines
Expand modelling across new commodities & energy products, including FTR congestion analytics
Partner with Quants to productionise models in Python
Drive automation and improvements across risk processes
What You Bring
8+ years’ engineering experience in financial markets
Strong knowledge of commodities or derivatives
Background with big data, cloud, and high-performance compute
SQL, Pandas, APIs; AWS/Kubernetes experience a plus
Bonus: exposure to FTRs / CRRs / TCCs, power markets, or energy‑risk systems
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Finance
Industries Financial Services, Capital Markets, and Software Development
Benefits
Medical insurance
401(k)
Paid paternity leave
Paid maternity leave
Location: New York, United States
#J-18808-Ljbffr
$180,000.00/yr - $250,000.00/yr
We’re hiring a senior engineer to help build the next generation of cloud‑native commodities risk and analytics platforms. This is a hands‑on role working directly with PMs, Risk, and Quants across global commodities including power markets and FTR‑related analytics.
If you’re excited by large‑scale distributed systems, complex modelling, and learning the nuances of energy markets, this is a high‑impact role at the centre of the business.
What You’ll Do
Build high-performance risk, pricing, and P&L systems
Develop large-scale data pipelines and simulation engines
Expand modelling across new commodities & energy products, including FTR congestion analytics
Partner with Quants to productionise models in Python
Drive automation and improvements across risk processes
What You Bring
8+ years’ engineering experience in financial markets
Strong knowledge of commodities or derivatives
Background with big data, cloud, and high-performance compute
SQL, Pandas, APIs; AWS/Kubernetes experience a plus
Bonus: exposure to FTRs / CRRs / TCCs, power markets, or energy‑risk systems
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Finance
Industries Financial Services, Capital Markets, and Software Development
Benefits
Medical insurance
401(k)
Paid paternity leave
Paid maternity leave
Location: New York, United States
#J-18808-Ljbffr