Sales and Trading Resume Template 2026: Student and Trading Analyst Format, Two Word Examples

GPA 3.74 / 4.00. Dean's List, 4 semesters. Coursework: Probability, Statistics, Econometrics, Money and Banking, Derivatives, Programming in Python.

• Pitched the trade ahead of a central bank meeting; thesis: the market priced too few rate cuts given slowing inflation; set a target and a stop, and sized it to a 1% loss limit.
• Built a Python model of rate expectations from futures prices to compare the market's pricing with my own forecast; the society's markets group voted to add the trade.

• Placed 3rd of 40 teams in a 4-week simulated rates and FX competition; ran the team's daily risk check and kept drawdown inside the 5% limit throughout.
• Wrote the team's end-of-week review of each trade: the thesis, what moved the price and whether the stop was in the right place.

• Produced the daily liquidity and interest rate risk summary for the treasury desk by 8am, from 4 internal reports.
• Rebuilt the desk's bond-pricing spreadsheet in Python; it priced the 60-bond portfolio in under a minute instead of about 20.
• Wrote a weekly one-page note on US rates and data releases for 15 people in treasury and finance.
• Checked 150 trade confirmations a week against the booking system and raised 9 breaks with operations.
• Presented a comparison of hedging the bank's fixed-rate loan book with swaps against doing nothing, under three rate scenarios, to the treasurer.

• Worked 15 hours a week during term; among the store's top 3 for monthly sales in 8 of 20 months.
• Handled returns and price-match requests at the busiest till, and trained 4 new staff on the register system.

• Run a weekly markets meeting for 35 members and write the society's Monday note on rates, FX and commodities.
• Started a mental maths and market-making practice session; 50 students attended across 8 sessions.
• Organised a panel with 3 alumni from sales, trading and structuring desks; 120 students attended.

• Tutor 6 first-year students a week in probability and calculus; helped write the department's practice problem set.

Technical: Excel and VBA, Python (pandas) for market data, Bloomberg (Market Concepts certificate), probability and statistics.

Languages: [language] (fluent).

Interests: [the market you follow, and the trade you would put on now]; [one other specific interest].

GPA 3.70 / 4.00. Coursework: Fixed Income, Derivatives, Time Series Analysis, Probability, Programming for Finance.

• Support a 4-person desk making markets in US Treasuries and interest rate swaps for institutional clients.
• Produce the daily P&L and risk report by 7:15am; explain each day's P&L by position and resolve breaks with the middle office before the open.
• Built a Python tool that prices client swap requests from live curves, replacing a manual spreadsheet and cutting quote time from about 4 minutes to under 1.
• Price and execute small client trades within limits set by the senior trader; about 40 tickets on a busy day.
• Wrote the desk's morning summary of overnight moves and the day's data for 30 salespeople; forwarded to clients 3 days a week.
• Built a dashboard of auction results and dealer positioning that the desk uses before each Treasury auction.
• Prepare the desk's weekly review for the head of rates: positions, limit usage, the largest P&L days and what drove them.
• Trained 2 incoming Analysts on the booking system, the risk report and the desk's pricing tools.
• Cover the desk's position limits and trade bookings when the junior trader is out; no booking errors reported in 2025.

• Rotated across the rates, credit and FX desks; pitched a curve steepener to the rates desk with a target, a stop and the data release that would trigger it.
• Automated the credit desk's end-of-day bond price check in Python, cutting it from 45 minutes to 5; received a full-time offer.
• Sat with the FX sales team for two weeks; drafted client emails on the week's data releases and priced practice forward requests checked by a salesperson.

• Built the weekly cash forecast for 3 currencies and compared hedging the company's FX exposure with forwards and options for the treasurer.
• Reconciled 200 monthly bank transactions across 5 accounts and cut the month-end close for cash by a day.

• Grew membership from 30 to 90 and ran a weekly market-making game and a mock trading interview programme.
• Set up a mentoring scheme pairing 25 first-year members with students who had completed markets internships.
• Led the team that placed 2nd of 35 universities in the [Competition] trading challenge.
• Wrote the club's weekly rates and FX note for 90 members, with one trade idea, its stop and how the last idea did.

Technical: Python (pandas, NumPy), SQL, Excel and VBA, Bloomberg, swap and bond pricing, curve building.

Licences: SIE, Series 7 and 63. CFA Level I passed.

Interests: [one specific interest you can talk about for two minutes]; [a second one].