Resume Example

Trader Resume Examples

Real-world trader resume examples across buy-side execution, credit market making, proprietary equity, and options trading roles, with the profit, risk, execution quality, and market share results that trading firms look for.
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uSE tHIS Resume

A strong trader resume should show results and risk discipline together. Highlight trading profit or revenue, risk limits and book size, drawdowns and losing months, execution quality against benchmarks, market share, and costs saved. Name your licences and platforms, because FINRA registrations, the CFA, and trading and analytics tools are filtered on. State your seat plainly, since a buy-side execution trader, a fixed income market maker, a proprietary stock trader, and an options derivatives trader are hired on different evidence. Use the examples below to see how to turn trading work into clear, results-focused resume achievements.

Trader Resume Example

Meet Maximilian Hart, a senior equity execution trader handling about $180M a day for a $42B asset manager. This example shows execution evidence: 6 basis points ahead of benchmark, an estimated $19M saved, and commissions cut 22%.

Maximilian Hart

(203) 555-0152 ◇ Stamford, CT

maximilian.hart@example.com ◇ linkedin.com/in/maximilian-hart ◇ maximilianhart.com

Objective

Equity execution trader with 9 years in markets, currently trading for a $42B asset manager and executing about $180M a day across US and European equities. Beat the implementation shortfall benchmark by an average of 6 basis points over 3 years, saving funds an estimated $19M, cut commission spend 22% through a broker review, and runs pre-trade analysis on every large order. Protects portfolio returns by trading with discipline and clear data.

Education
B.S. in Finance and Economics, Long Island Sound Crown University 2013 – 2017

Coursework in Investments, Market Microstructure, Econometrics, and Derivatives.

CFA Charterholder and FINRA Series 57, CFA Institute and FINRA 2021, 2017

Also holds the FINRA Securities Industry Essentials (SIE) exam.

Skills
Execution Trading
Algorithmic execution, block trading, program trading, dark pool and venue selection, pre-trade cost estimates, liquidity analysis, portfolio transitions
Analysis
Transaction cost analysis, implementation shortfall, broker scorecards, market impact models, Python and SQL for trade data
Risk and Compliance
Best execution policy, trade error handling, pre-trade compliance checks, allocation rules, regulatory reporting support
Tools & Platforms
Bloomberg EMSX, Charles River IMS, FlexTrade, Virtu ITG TCA, Liquidnet, Python, SQL, Excel
Experience
Senior Equity Trader 03/2021 – Present
Harbor Point Crown Asset Management Stamford, CT
  • Execute about $180M a day in US and European equities for a $42B asset manager with 14 portfolio managers.
  • Beat implementation shortfall by an average of 6 basis points over 3 years, saving funds an estimated $19M.
  • Cut commission spend 22% by moving to a scored panel of 12 brokers based on quarterly execution data.
Equity Trader 07/2019 – 02/2021
Greenwich Line Capital Greenwich, CT
  • Traded about $60M a day in US mid and small cap equities for 3 long-only funds.
  • Ran 4 portfolio transitions worth $2.3B with total costs 15% below the pre-trade estimate.
  • Built a Python report matching each order to algorithm and venue, cutting TCA review time from 1 day to 2 hours.
Trading Assistant, then Junior Trader 07/2017 – 06/2019
Greenwich Line Capital Greenwich, CT
  • Booked and allocated about 300 trades a day with 0 unresolved breaks at month end for 2 years.
  • Traded small orders under $2M in 40 names under supervision after 12 months on the desk.
  • Built a daily pre-trade liquidity sheet for 150 holdings used by portfolio managers each morning.
Projects

Broker Scorecard and Panel Review. Built a quarterly broker scorecard from TCA data covering slippage, fill rates, and block liquidity for 20 brokers, then cut the panel to 12 and rebalanced flow, which reduced commission spend 22% while improving average execution quality by 3 basis points.

Pre-Trade Analysis Routine. Set up pre-trade cost and liquidity estimates for every order above 10% of daily volume, with an agreed trading plan shared with the portfolio manager, which helped beat implementation shortfall by an average of 6 basis points over 3 years.

Portfolio Transition Playbook. Wrote a transition playbook with cost estimates, crossing opportunities, and risk checks, used on 4 transitions worth $2.3B, which delivered total costs 15% below estimate with 0 trade errors.

Extra-Curricular Activities
  • Member of a CFA society, volunteering on its markets education committee since 2022.
  • Volunteer financial literacy teacher at a high school, 6 sessions a year on saving and investing.
  • Race sailboats in a local club regatta series of about 12 races each summer.
Leadership
  • Lead the equity trading desk broker review with 2 other traders and the compliance team each quarter.
  • Train and supervise 2 junior traders, reviewing their order handling daily.
  • Present quarterly execution results to 14 portfolio managers and the chief investment officer.
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Fixed Income Trader Resume Example

Meet Siobhan Cleary, an investment grade credit trader running a risk book of up to $350M. This example shows market making evidence: $14.2M in trading revenue over 3 years and the desk share of electronic volume raised from 9% to 21%.

Siobhan Cleary

(704) 555-0139 ◇ Charlotte, NC

siobhan.cleary@example.com ◇ linkedin.com/in/siobhan-cleary ◇ siobhancleary.com

Objective

Fixed income trader with 10 years in credit markets, currently making markets in investment grade corporate bonds for financials and utilities at a regional investment bank. Runs a risk book of up to $350M, generated $14.2M in trading revenue over the last 3 years, and raised the desk share of electronic client volume from 9% to 21%. Manages risk tightly and builds long relationships with institutional clients.

Education
B.S. in Mathematics and Economics, Piedmont Crown University 2012 – 2016

Coursework in Fixed Income Securities, Probability, Econometrics, and Corporate Finance.

FINRA Series 7, 63, and 57, FINRA 2016

Also passed CFA Level II in 2019.

Skills
Credit Trading
Investment grade corporate bond market making, new issue trading, portfolio trading, risk pricing, bid lists and axes, relative value analysis, credit default swap hedging
Risk Management
DV01 and spread duration limits, Treasury and swap hedging, inventory ageing, stop loss discipline, profit and loss attribution
Clients and Electronic Trading
Institutional client coverage, electronic request for quote pricing, auto-quoting rules, sales partnership, credit research coordination
Tools & Platforms
Bloomberg, MarketAxess, Tradeweb, TRACE, Trumid, Python, Excel VBA, internal risk system
Experience
Vice President, Investment Grade Credit Trading 04/2021 – Present
Queen City Line Securities Charlotte, NC
  • Make markets in about 400 financial and utility bonds, running a risk book of up to $350M.
  • Generated $14.2M in trading revenue over the last 3 years with 2 losing months out of 36.
  • Raised the desk share of electronic client volume from 9% to 21% with auto-quoting on 250 bonds.
Associate, Credit Trading 07/2018 – 03/2021
Queen City Line Securities Charlotte, NC
  • Traded short-dated utility bonds with a book limit of $80M, growing revenue on the book 45% in 2 years.
  • Priced about 60 bid lists a week for the desk and won about 18% of items quoted.
  • Built an Excel relative value screen for 1,200 bonds that the desk used daily to set axes.
Fixed Income Analyst 07/2016 – 06/2018
Uptown Crown Bank Charlotte, NC
  • Supported 4 traders with daily risk reports, profit and loss checks, and trade booking for 2 years.
  • Reconciled about 200 trades a day between the trading and settlement systems with 0 lost breaks.
  • Wrote a daily new issue summary read by about 30 traders and salespeople.
Projects

Electronic Auto-Quoting Rollout. Worked with the e-trading team to set pricing rules and risk limits for auto-quoting 250 liquid bonds on 2 electronic platforms, reviewing hit rates weekly, which raised the desk share of electronic client volume from 9% to 21% and added about $1.8M a year in revenue.

Portfolio Trade Pricing Model. Built a Python model that prices client portfolio trades of up to 300 bonds in minutes using TRACE data and inventory, which let the desk bid on 40 portfolio trades a year and win about a third of them.

Inventory Ageing Discipline. Set up a daily ageing report and rules for positions held over 30 days, reviewed with the desk head, which cut average holding time 35% and reduced carrying costs by about $400,000 a year.

Extra-Curricular Activities
  • Member of a women in fixed income network, co-hosting 3 regional events a year.
  • Volunteer maths tutor for middle school students at a community centre, 2 hours a week.
  • Run about 3 half marathons a year with a local running club of about 150 members.
Leadership
  • Train and supervise 2 associate traders, reviewing their risk and pricing every day.
  • Lead the desk weekly market review with 12 salespeople and 3 credit analysts.
  • Serve on the fixed income new product committee of 7 that approves new trading strategies.
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Stock Trader Resume Example

Meet Isaac Feinberg, a proprietary stock trader with a $25M capital allocation. This example shows trading evidence: $7.6M in net profit over 4 years, a Sharpe ratio of 2.3, drawdowns under 6%, and 3 systematic strategies built.

Isaac Feinberg

(646) 555-0106 ◇ New York, NY

isaac.feinberg@example.com ◇ linkedin.com/in/isaac-feinberg ◇ isaacfeinberg.com

Objective

Stock trader with 6 years in proprietary equity trading, currently trading US equities with a capital allocation of $25M at a proprietary trading firm. Generated $7.6M in net trading profit over 4 years with a Sharpe ratio of 2.3, kept maximum drawdown under 6%, and built 3 systematic event-driven strategies that now make up 40% of profit. Trades with strict risk limits and keeps a detailed journal of every decision.

Education
B.S. in Applied Mathematics and Statistics, Empire State Line University 2016 – 2020

Coursework in Stochastic Processes, Statistical Learning, Time Series Analysis, and Financial Economics.

FINRA Series 57 and SIE, FINRA 2020

Securities trader representative qualification.

Skills
Equity Trading
Intraday and swing trading, earnings and event trading, pairs and sector relative value, liquidity provision, order types and routing, short selling and borrow management
Quantitative Research
Strategy backtesting, signal research, factor exposure analysis, transaction cost modelling, statistical testing, Python and pandas
Risk Management
Position and loss limits, drawdown control, beta and sector hedging, trade journal review, profit and loss attribution
Tools & Platforms
Lightspeed Trader, Sterling Trader Pro, Bloomberg, Python, pandas, kdb+, SQL, Excel
Experience
Proprietary Equity Trader 09/2022 – Present
Wall Street Crown Trading New York, NY
  • Trade US equities with a $25M capital allocation, generating $7.6M in net profit over 4 years.
  • Hold a Sharpe ratio of 2.3 with maximum drawdown under 6% across 4 years of trading.
  • Built 3 systematic event-driven strategies that now produce about 40% of annual trading profit.
Junior Trader 07/2020 – 08/2022
Broad Street Line Capital New York, NY
  • Traded US equities intraday with a $3M allocation that rose to $8M after 12 profitable months.
  • Earned about $1.1M in net profit in 2 years while staying within all daily loss limits.
  • Completed a 6-month trader training programme, ranking 2nd of 14 in the trainee class.
Quantitative Research Intern 06/2019 – 08/2019
Broad Street Line Capital New York, NY
  • Backtested 5 earnings drift signals across 10 years of data for 2,000 US stocks.
  • Found 1 signal with a stable edge after costs, which the desk later traded live.
  • Presented research to 6 traders and received a full-time trader training offer.
Projects

Event-Driven Strategy Suite. Researched and built 3 systematic strategies around earnings, index changes, and guidance updates, backtested on 12 years of data with realistic costs, then traded at small size for 6 months before scaling, which now produce about 40% of annual profit.

Trade Journal and Review Process. Built a trade journal database in SQL logging the reason, size, and outcome of every trade, with a weekly review of the 20 worst trades, which helped cut average loss per losing trade 25% over 18 months.

Sector Hedge Tool. Wrote a Python tool that measures sector and market beta of open positions in real time and suggests ETF hedges, which kept net beta near 0 and helped hold maximum drawdown under 6%.

Extra-Curricular Activities
  • Member of a quantitative finance meetup in New York, presenting 2 talks on event trading.
  • Volunteer maths coach for a middle school competition team of 12 students.
  • Play competitive chess online with a rating in the top 3% of about 100,000 active players.
Leadership
  • Mentor 3 trainee traders at the firm, reviewing their trade journals every week.
  • Lead the monthly strategy review for a trading group of 8, sharing research and results.
  • Ran a 4-week Python for traders course for 10 colleagues in 2024.
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Derivatives Trader Resume Example

Meet Vikrant Bedi, a senior options market maker managing a volatility book with $2M vega limits. This example shows derivatives evidence: $31M in trading profit over 4 years and quoting market share raised from 7% to 13%.

Vikrant Bedi

(312) 555-0174 ◇ Chicago, IL

vikrant.bedi@example.com ◇ linkedin.com/in/vikrant-bedi ◇ vikrantbedi.com

Objective

Derivatives trader with 9 years in options market making, currently a senior options trader at a market making firm trading index and single stock options on 4 US exchanges. Manages a volatility book with vega limits of $2M, generated $31M in trading profit over 4 years, and raised quoting market share in assigned names from 7% to 13%. Brings a strong grounding in option pricing and tight risk control to fast markets.

Education
M.S. in Financial Mathematics, Lake Michigan Crown University 2016 – 2017

Coursework in Stochastic Calculus, Option Pricing, Numerical Methods, and Volatility Modelling.

B.Tech. in Electrical Engineering, Punjab Line Institute of Technology 2011 – 2015

Holds FINRA Series 57. Ranked in the top 5% of the graduating class.

Skills
Derivatives Trading
Options market making, volatility trading, skew and term structure positioning, dispersion trades, event volatility, delta and gamma hedging, index and single stock options
Pricing and Risk
Volatility surface fitting, Greeks management, scenario and stress testing, vega and gamma limits, early exercise and dividend risk, profit and loss attribution
Technology
Quoting parameter tuning, working with developers on pricing models, Python research, trade data analysis, latency and fill quality review
Tools & Platforms
In-house quoting system, Bloomberg, OptionMetrics, CBOE LiveVol, Python, NumPy, kdb+, Excel
Experience
Senior Options Trader 01/2022 – Present
LaSalle Crown Trading Chicago, IL
  • Manage a volatility book with $2M vega limits across index and about 120 single stock option names.
  • Generated $31M in trading profit over 4 years with 3 losing months out of 48.
  • Raised quoting market share in assigned names from 7% to 13% by retuning pricing and edge settings.
Options Trader 07/2019 – 12/2021
LaSalle Crown Trading Chicago, IL
  • Made markets in about 60 single stock option names with vega limits rising from $300,000 to $1M.
  • Generated about $9M in trading profit over 2.5 years, including through the 2020 volatility spike.
  • Built an earnings event volatility model that improved pricing on about 200 earnings events a year.
Junior Trader, Trader Development Programme 07/2017 – 06/2019
Board of Trade Line Partners Chicago, IL
  • Completed a 6-month options training programme covering pricing, risk, and 200 hours of simulation.
  • Supported 3 senior traders with hedging and risk monitoring on books of up to $1.5M vega.
  • Traded a small book of 15 names from 2018, staying profitable in 20 of 24 months.
Projects

Quoting Parameter Retune. Analysed 6 months of fills, adverse selection, and competitor quotes for 120 names, then worked with 2 developers to retune edge, size, and skew settings, which raised quoting market share from 7% to 13% while holding profit per contract steady.

Earnings Volatility Model. Built a model of implied volatility before and after earnings using 8 years of history in OptionMetrics, adjusted by sector and recent surprises, which improved pricing on about 200 earnings events a year and added about $1.5M a year to book profit.

Stress Scenario Dashboard. Built a Python dashboard that shows book profit and loss under 12 stress scenarios in real time, including gap moves and volatility shocks, which the desk used to cut tail exposure before 3 major market events.

Extra-Curricular Activities
  • Guest lecturer on market making for a financial mathematics programme, 2 sessions a year.
  • Volunteer tutor in maths and physics for high school students, about 3 hours a week.
  • Play in an amateur cricket league in Chicago with about 16 matches each summer.
Leadership
  • Lead a trading pod of 3 traders and 1 developer on single stock options since 2022.
  • Teach the options pricing module of the firm trader development programme to about 10 trainees a year.
  • Serve on the firm risk committee of 6 that sets vega and gamma limits for each desk.
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