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Junior Analyst Cross-Commodity Desk - Job Opportunity at DXT Commodities SA

Lugano, Switzerland
Full-time
Entry-level
Posted: May 30, 2025
On-site
CHF 85,000 - CHF 120,000 annually based on Swiss commodity trading market standards for junior quantitative roles, with potential for significant performance-based bonuses ranging from 20-50% of base salary depending on strategy performance

Benefits

Competitive remuneration package positioned to attract top-tier quantitative talent in the competitive Swiss financial market
Comprehensive relocation assistance demonstrating company investment in international talent acquisition
Direct mentorship and on-the-job training from experienced trading professionals providing accelerated skill development
Access to DXT's comprehensive benefits and well-being package ensuring work-life balance in high-pressure trading environment
Professional development through Duferco Academy offering structured career advancement opportunities

Key Responsibilities

Engineer sophisticated analytical and statistical frameworks that directly impact trading strategy performance and competitive advantage in global commodity markets
Build and maintain comprehensive fundamental data infrastructure that serves as the foundation for multi-million dollar trading decisions across diverse commodity sectors
Drive strategic collaboration with quantitative teams to generate alpha-producing trading strategies that contribute to firm profitability
Lead cross-functional integration with development teams to automate systematic trading strategies while ensuring regulatory compliance in complex international markets
Develop expertise in systematic futures trading across metals, agricultural, livestock, equity indexes, FX, and energy markets, building comprehensive market knowledge

Requirements

Education

MS/PhD degree on science-related fields (Applied Statistics, Data Science, Statistics, Physics, Mathematics, Computer Science)

Experience

Entry-level to 2 years

Required Skills

Strong statistical and/or quantitative background Strong programming skills Strong result-driven mindset with a scientific and methodical approach Motivated, team player, and with an enthusiastic attitude
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Sauge AI Market Intelligence

Industry Trends

The commodity trading industry is experiencing unprecedented digitization with algorithmic trading now representing over 60% of futures market volume, creating massive demand for quantitative analysts who can bridge statistical modeling with market reality. This transformation is driven by increased market volatility, the need for faster execution speeds, and the complexity of managing risk across multiple asset classes simultaneously. Cross-commodity strategy development has become a critical competitive differentiator as traditional single-commodity approaches fail to capture inter-market correlations and arbitrage opportunities. Firms are investing heavily in analysts who can identify patterns across agricultural, energy, and metals markets, particularly as climate change and geopolitical tensions create new correlation structures. The regulatory landscape in commodity trading has intensified following MiFID II and other international frameworks, creating demand for professionals who can develop compliant algorithmic strategies. This regulatory complexity, combined with the need for real-time risk management, has made quantitative analysts with programming skills among the most sought-after professionals in the industry.

Role Significance

Likely part of a 8-12 person cross-commodity desk with direct interaction across quant teams of 15-20 professionals, reflecting the collaborative nature of modern commodity trading operations where junior analysts work closely with senior traders, developers, and risk managers
This is a high-impact junior role positioned as a direct contributor to trading desk profitability rather than a traditional entry-level support position. The role carries significant responsibility for strategy development and cross-functional collaboration, indicating rapid advancement potential within the organization's quantitative trading hierarchy.

Key Projects

Development of multi-asset correlation models that identify arbitrage opportunities across commodity sectors Implementation of machine learning algorithms for signal extraction from alternative data sources including weather, shipping, and economic indicators Creation of systematic risk management frameworks that operate across the full spectrum of futures markets from agricultural to energy sectors

Success Factors

Ability to translate complex statistical concepts into actionable trading strategies that generate consistent alpha in volatile commodity markets Strong programming proficiency in Python, R, or similar languages combined with understanding of trading system architecture and low-latency execution requirements Cross-market intuition that enables identification of fundamental relationships between seemingly unrelated commodity sectors, such as energy-agricultural linkages or metals-equity correlations Collaborative mindset essential for working effectively with diverse teams including quantitative researchers, software developers, compliance professionals, and senior traders

Market Demand

Extremely high demand driven by industry-wide digital transformation and the scarcity of professionals with both quantitative skills and commodity market understanding

Important Skills

Critical Skills

Statistical modeling and data analysis capabilities are fundamental as the role requires developing analytical frameworks that can identify profitable patterns in massive datasets containing price, fundamental, and alternative data across multiple commodity sectors. These skills directly impact the firm's ability to generate alpha and manage risk effectively. Programming proficiency is essential for implementing quantitative strategies in production trading systems where execution speed and reliability directly affect profitability. The ability to write efficient, maintainable code that can handle real-time market data and execute trades automatically is crucial for success. Quantitative research methodology is vital for developing systematic approaches to strategy generation and validation, ensuring that trading decisions are based on statistical evidence rather than intuition, which is critical in the high-stakes commodity trading environment.

Beneficial Skills

Understanding of commodity market fundamentals including supply-demand dynamics, seasonal patterns, and geopolitical influences would accelerate effectiveness in generating market-relevant trading signals Experience with machine learning techniques would enhance ability to extract signals from complex, non-linear market relationships that traditional statistical methods might miss Knowledge of financial regulations and compliance frameworks would support the development of systematic strategies that meet regulatory requirements while maximizing trading opportunities

Unique Aspects

Cross-commodity focus provides exposure to the full spectrum of futures markets rather than specialization in a single sector, offering comprehensive market education and diverse career pathways
Direct integration with trading desk operations provides immediate exposure to real-world strategy implementation and P&L impact, accelerating practical learning beyond academic quantitative methods
Access to Duferco Group's extensive commodity market network and infrastructure provides unique insights into physical commodity flows that inform systematic trading strategies
Emphasis on systematic strategy automation positions candidates at the forefront of industry digitization trends while building valuable technical and regulatory compliance expertise

Career Growth

Rapid advancement potential with senior analyst roles achievable within 2-3 years and portfolio management responsibilities within 4-5 years, accelerated by the high-growth nature of algorithmic commodity trading

Potential Next Roles

Senior Quantitative Analyst with portfolio management responsibilities and direct P&L accountability within 3-4 years Cross-Commodity Strategy Lead managing a team of analysts and overseeing multi-million dollar systematic trading programs Quantitative Portfolio Manager with discretionary trading authority and client-facing responsibilities

Company Overview

DXT Commodities SA

DXT Commodities SA operates as a sophisticated commodity trading house within the Duferco Group ecosystem, leveraging Lugano's position as a major European commodity trading hub. The firm has established itself as a technology-forward organization that combines traditional commodity market expertise with cutting-edge quantitative trading methodologies, positioning it competitively against larger international trading houses.

Mid-tier specialized commodity trader with strong technological capabilities and significant market presence in European commodity flows, competing effectively through algorithmic trading expertise and cross-commodity strategy development rather than pure scale
Strategic positioning in Lugano provides access to the concentrated Swiss commodity trading ecosystem while offering proximity to major European energy and agricultural markets, creating opportunities for both physical and financial commodity strategies
High-performance environment typical of commodity trading with emphasis on quantitative rigor, collaborative problem-solving, and continuous learning, supported by structured development programs through the Duferco Academy
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