• generate returns for Interpetrol by profitably trading financial and physical freight products • make discretionary trades when opportunities present themselves • request risk limits for products outside of primary area of focus • employ the latest technologies relevant to the mission • collaborate with an experienced senior colleague for trading decisions • access a global network of physical customer relationships

• generate returns for Interpetrol by profitably trading financial and physical metal and mineral products • incorporate both deterministic and non-deterministic (AI-based) approaches for trading • make discretionary trades based on opportunities • request risk limits for additional products, subject to management approval • utilize the latest technologies and support from a senior colleague in trading decisions

• Do you have a proven track record of profitability? • Are you ready to bring your edge to a team that values creativity, discipline, and results? • Actively scan the markets (equities, commodities, crypto) for high-probability setups and execute trades with strict risk management. • Support our clients by explaining market conditions, breaking down your trade logic, and helping them develop the skills and mindset required for consistent profitability. • Contribute to client-facing materials, explaining market structure, setups, and educational insights in a simple, compelling way.

• Own end-to-end campaign delivery across multiple advertisers; hit KPI targets (CPA, ROAS, retention) and scale when unit economics allow. • Develop audience targeting strategies and supply-side optimization (audience, publisher selection, bid shading, dayparting) across ad formats (banner, video, native, CTV) to unlock incremental scale. • Build and execute testing roadmaps (optimization models, bids, budgets, frequency, creatives, geos, etc.) to drive incremental lift. • Manage pacing, budget allocation, and risk across an account book, proactively mitigating under-delivery. • Understand mobile attribution dynamics (postback flows, attribution windows, deterministic vs probabilistic matching, iOS privacy frameworks) and how they shape bidding strategy, audience targeting, and performance interpretation across MMPs. • Champion process improvements, author tools/queries, and mentor juniors to raise team throughput. • Dive into log-level and aggregated data to diagnose performance; write production-grade SQL (joins, CTEs, window functions) and Python/pandas analyses (or sharp use of AI) • Design and interpret tests, translating findings into the Trading Playbook. • Leverage LLMs (GPT/Claude) to automate recurring analyses (bid curves, cohort reads, anomaly triage), create data briefs, and draft experiments. • Contribute to internal dashboards and trading intelligence tools that accelerate decision-making across the team. • Partner with CSM/Sales on growth plans and QBRs; influence Product with crisp, quantified feedback; collaborate with Supply on inventory quality. • Work with DS/DA on model inputs, new testing hypotheses or model improvements, and with Product Support to quickly unblock delivery.