Quantitative Researcher
NOX METALS, Detroit, MI, United States
Quantitative Researcher | Nox Metals | Detroit, MI
American factories deserve a supply chain that moves as fast as they do. The next generation of American manufacturing is being built right now. Nox Metals is the supply chain behind it.
Nox Metals is a technology company in Detroit supplying aluminum plate, bar, and rounds to aerospace and defense manufacturers. We use software and automation to supply metal to American factories faster than the industry thought possible.
We need a Quantitative Researcher to own the analytics and signals around aluminum, the broader metals complex, and the macro forces that move our cost basis. Every pound we buy and every pound we sell is exposed to LME, COMEX, midwest premium, surcharges, tariffs, and FX. You build the models that turn that exposure into an edge. Nox Metals is an employer with real opportunity for long term career growth, this is a place to build a career, not just hold a job.
You Will:
Own the quantitative research function end to end, models, signals, analytics, hedging strategy
Build models for aluminum prices, midwest premium, LME, COMEX, scrap spreads, alloy premiums, and the related metals complex
Build signals around mill capacity, rolling cycles, import flows, tariffs, FX, energy, and macro inputs that move our prices
Build forecasting models that drive procurement timing, what to buy, when to buy, and how much
Own hedging strategy end to end, design the program, size the positions, set the policy, and partner with execution counterparties
Quantify exposure across every PO, every customer contract, every LTA, and every inventory position
Build dashboards and reports that make our exposure, hedge book, and P&L visible to the executive team and to investors
Build and own data infrastructure for market data, mill data, customs data, and our own internal procurement and sales data
Partner tightly with the supply chain team to translate models into procurement actions and with the sales team to translate models into customer pricing
Partner with software and ML teams to deploy models into production tools and customer-facing pricing
Run scenario analysis, stress tests, and risk reports across price, volume, FX, and policy shocks
Always ask questions, never guess when something is unclear
Look at every model, every signal, every workflow and figure out how to make it better
Work safely every shift and hold your teammates to the same standard
You Should Be:
3 to 5+ years of quantitative research experience in commodities, metals, energy, or comparable markets
Strong technical foundation in time-series modeling, signal construction, statistical inference, and risk modeling
Hands-on with Python, modern data tooling, and production-grade model development
Fluent in LME, COMEX, midwest premium, base metals contract structures, and the mechanics of how aluminum actually trades
Direct experience designing or running hedging programs in a commercial or trading context
Comfortable shipping models into production, you partner with engineering and you do not throw notebooks over the wall
Strong intuition for the difference between a backtest and a real position, models that survive contact with the market
Cracked with AI tools, modern software, and data, you do not waste cycles on plumbing
Tightly partnered with software teams in past roles, comfortable writing specs, filing tickets, and shaping the tools you use
High attention to quality, every model, every dataset, every backtest, every report
Always thinking about how to make systems better, you do not accept "this is how we have always done it"
Absolutely customer obsessed, your models eventually show up as the price a customer sees
User obsessed, you sit with supply chain, sales, and finance, watch them work, and build models they actually trust
A team player with a good attitude, you make the company better for everyone around you
Someone who takes ownership, if it touches price, exposure, or hedging, it is your responsibility
Precise under pressure and reliable
Organized and detail oriented
Committed to safety, you follow every protocol on the floor when you visit and never cut corners that put people at risk
High agency, you handle big items alone and ask for help when needed
Low ego, you walk the floor, you talk to operators and buyers, you do the unglamorous work because it needs to get done
Not afraid to work outside normal hours when America demands it
Never says "that's not my job"
Nice to Have:
Direct experience trading or hedging aluminum, copper, or other base metals
Background at a commodity trading house, mill, smelter, large industrial buyer, or a quant fund covering commodities
Experience with import economics, customs data, and tariff analytics
Strong background in macro modeling, FX, energy, and policy-driven price drivers
Open source work, published research, or a portfolio of models you have built
Comfortable using AI tools to work faster and smarter
This role is full time, in person in Detroit.
#J-18808-Ljbffr
American factories deserve a supply chain that moves as fast as they do. The next generation of American manufacturing is being built right now. Nox Metals is the supply chain behind it.
Nox Metals is a technology company in Detroit supplying aluminum plate, bar, and rounds to aerospace and defense manufacturers. We use software and automation to supply metal to American factories faster than the industry thought possible.
We need a Quantitative Researcher to own the analytics and signals around aluminum, the broader metals complex, and the macro forces that move our cost basis. Every pound we buy and every pound we sell is exposed to LME, COMEX, midwest premium, surcharges, tariffs, and FX. You build the models that turn that exposure into an edge. Nox Metals is an employer with real opportunity for long term career growth, this is a place to build a career, not just hold a job.
You Will:
Own the quantitative research function end to end, models, signals, analytics, hedging strategy
Build models for aluminum prices, midwest premium, LME, COMEX, scrap spreads, alloy premiums, and the related metals complex
Build signals around mill capacity, rolling cycles, import flows, tariffs, FX, energy, and macro inputs that move our prices
Build forecasting models that drive procurement timing, what to buy, when to buy, and how much
Own hedging strategy end to end, design the program, size the positions, set the policy, and partner with execution counterparties
Quantify exposure across every PO, every customer contract, every LTA, and every inventory position
Build dashboards and reports that make our exposure, hedge book, and P&L visible to the executive team and to investors
Build and own data infrastructure for market data, mill data, customs data, and our own internal procurement and sales data
Partner tightly with the supply chain team to translate models into procurement actions and with the sales team to translate models into customer pricing
Partner with software and ML teams to deploy models into production tools and customer-facing pricing
Run scenario analysis, stress tests, and risk reports across price, volume, FX, and policy shocks
Always ask questions, never guess when something is unclear
Look at every model, every signal, every workflow and figure out how to make it better
Work safely every shift and hold your teammates to the same standard
You Should Be:
3 to 5+ years of quantitative research experience in commodities, metals, energy, or comparable markets
Strong technical foundation in time-series modeling, signal construction, statistical inference, and risk modeling
Hands-on with Python, modern data tooling, and production-grade model development
Fluent in LME, COMEX, midwest premium, base metals contract structures, and the mechanics of how aluminum actually trades
Direct experience designing or running hedging programs in a commercial or trading context
Comfortable shipping models into production, you partner with engineering and you do not throw notebooks over the wall
Strong intuition for the difference between a backtest and a real position, models that survive contact with the market
Cracked with AI tools, modern software, and data, you do not waste cycles on plumbing
Tightly partnered with software teams in past roles, comfortable writing specs, filing tickets, and shaping the tools you use
High attention to quality, every model, every dataset, every backtest, every report
Always thinking about how to make systems better, you do not accept "this is how we have always done it"
Absolutely customer obsessed, your models eventually show up as the price a customer sees
User obsessed, you sit with supply chain, sales, and finance, watch them work, and build models they actually trust
A team player with a good attitude, you make the company better for everyone around you
Someone who takes ownership, if it touches price, exposure, or hedging, it is your responsibility
Precise under pressure and reliable
Organized and detail oriented
Committed to safety, you follow every protocol on the floor when you visit and never cut corners that put people at risk
High agency, you handle big items alone and ask for help when needed
Low ego, you walk the floor, you talk to operators and buyers, you do the unglamorous work because it needs to get done
Not afraid to work outside normal hours when America demands it
Never says "that's not my job"
Nice to Have:
Direct experience trading or hedging aluminum, copper, or other base metals
Background at a commodity trading house, mill, smelter, large industrial buyer, or a quant fund covering commodities
Experience with import economics, customs data, and tariff analytics
Strong background in macro modeling, FX, energy, and policy-driven price drivers
Open source work, published research, or a portfolio of models you have built
Comfortable using AI tools to work faster and smarter
This role is full time, in person in Detroit.
#J-18808-Ljbffr