The Graduate Guide to Sales and Trading

The primary difference lies in the underlying financial instruments traded and the structure of their respective market landscapes. Fixed Income, Currencies, and Commodities (FICC) covers macro products like government bonds, interest rate swaps, corporate debt, structured credit, foreign exchange pairs, and physical or financial commodities. Equities focuses strictly on cash equities, equity derivatives, exchange-traded funds, and structured retail products. FICC markets are historically decentralised and heavily over-the-counter (OTC), meaning trades are negotiated directly between counterparties or via electronic platforms, requiring significant sales relationship management and capital commitment. In contrast, Equities markets are highly electronic, centralised on public exchanges, and driven by high-frequency algorithmic execution, leading to a massive focus on technological infrastructure and systematic quantitative strategies.

No, a formal quantitative degree is not mandatory for all paths, though it is highly advantageous and essential for quantitative trading or structuring roles. General sales and flow trading tracks welcome candidates from all academic disciplines, including history, economics, engineering, and languages, provided they display excellent numerical literacy, logical thinking, and deep commercial interest. For desks managing non-complex linear products, the ability to synthesise research, communicate under high pressure, and manage customer relationships is prioritised over advanced calculus. However, as trading desks become increasingly technology-driven, any applicant who demonstrates basic coding knowledge in Python or SQL will possess a clear competitive advantage during initial screening rounds.

Market making focuses on providing constant liquidity to clients by quoting two-way prices, whereas proprietary trading involves investing the bank's own capital to take directional views on market movements. Following post-financial-crisis regulatory reforms, such as the Volcker Rule in the United States and ring-fencing laws in the United Kingdom, traditional investment banks are explicitly prohibited from running pure proprietary trading operations. Today, traders profit primarily from the bid-ask spread (the difference between the price at which they buy and sell) and short-term inventory management. The goal is to capture high volumes of transactional flow and hedge residual risk exposures immediately, rather than holding massive unhedged directional positions overnight.

The typical working hours range from 55 to 65 hours per week, with daily schedules closely tied to regional exchange operations. In European hubs like London, professionals arrive at their desks between 06:15 and 06:45 to prepare for the 08:00 market open, and depart between 17:30 and 19:30 following the market close and end-of-day ledger reconciliations. In US financial centres like New York, the day starts around 06:30 or 07:00 and concludes near 18:00. Because international financial markets close over the weekend, Sales and Trading professionals rarely work on Saturdays or Sundays, offering a highly predictable and structured schedule compared to the variable and prolonged hours found in traditional investment banking corporate finance divisions.

A HireVue interview is an automated, asynchronous video assessment where candidates record video responses to pre-set questions displayed on a screen. The system grants a brief preparation period (typically 30 seconds) before opening a one- to two-minute recording window per question. To prepare for a Sales and Trading HireVue, you must practice delivering concise market commentary and structured behavioural answers under a strict timer. Expect questions that test your macroeconomic awareness, such as explaining how inflation figures alter central bank strategy, or direct requests to pitch a trade idea. Maintain eye contact with your camera, avoid reading from hidden notes, use clear frameworks like the STAR method, and ensure your background is completely professional.

Option Greeks are mathematical risk measures that quantify how an option's price changes in response to shifts in underlying market parameters. They include Delta (sensitivity to the underlying asset's price change), Gamma (rate of change of Delta), Vega (sensitivity to changes in implied volatility), and Rho (sensitivity to interest rate adjustments). Interviewers test these metrics because they form the foundational language of derivatives trading and risk management. Candidates applying to options or structured products desks must demonstrate an intuitive, mathematical grasp of these dynamics to show they can manage a complex risk ledger when market variables fluctuate simultaneously.

A professional trade pitch must be precise, actionable, risk-aware, and answer-first, rather than general or vague. Begin with a clear statement detailing the specific financial instrument, the direction (long or short), and the exact entry price. Follow this immediately with your underlying thesis, backed by two or three quantifiable market catalysts, such as impending central bank announcements, supply chain constraints, or fundamental earnings anomalies. Next, explicitly declare your profit target and your stop-loss level to show disciplined risk parameters. Finally, outline the primary risks that could invalidate your trade idea and explain how you would hedge those exposures using correlated assets or options contracts.

Sales professionals focus on external client relationships and trade generation, while traders focus on internal risk management and price execution. A salesperson acts as the primary contact point for institutional clients, interpreting market trends, distributing research insights, and convincing portfolio managers to execute trades with their bank. They must possess exceptional interpersonal skills, deep product knowledge, and a strong commercial mindset. A trader, conversely, operates internal systems, takes accountability for the desk's capital, quotes executable prices to the sales team, and manages the resulting risk positions. Traders require intense numerical speed, high risk discipline, and immediate decision-making capability under volatile conditions.

Electronic trading has significantly shifted graduate recruitment toward highly analytical, quantitative, and technologically proficient candidates. As automated market-making algorithms and electronic execution systems replace traditional voice execution across liquid asset classes, banks have reduced standard voice-broking roles. Instead, they actively seek graduates who can bridge the gap between traditional finance and computer science. This transformation means that even generalist applicants are highly encouraged to learn programming basics, and quantitative data analysis has become a core component of the interview process across almost all FICC and Equities desks.

An assessment centre simulation is an interactive exercise that replicates a live trading floor environment or an institutional portfolio management challenge. Candidates are typically placed in groups or provided with individual workstations, given a flowing stream of economic news feeds, client orders, and changing asset prices, and tasked with executing trades or managing portfolio risk. To excel, you must demonstrate consistent risk control by never exceeding your assigned limits, execute accurate mental calculations, and adapt your strategies logically as new information arrives. In group settings, focus on clear, collaborative communication and avoid aggressive, disruptive behaviours, as assessors evaluate team integration and emotional stability under pressure.

The primary exit opportunities include joining buy-side institutions such as global macro hedge funds, multi-strategy investment platforms, corporate credit funds, or large-scale asset management firms. Successful traders who have developed a verifiable track record of risk management and market intuition are highly attractive to hedge funds seeking discretionary portfolio managers or execution specialists. Commodity specialists frequently transition to physical merchant giants like Trafigura or Vitol, where they navigate real-world supply chains. Additionally, technologically proficient professionals increasingly exit to quantitative market makers, algorithmic trading boutiques, or innovative financial technology firms, leveraging their deep understanding of market structure and liquidity dynamics.