Templates

CV Examples That Get Interviews

Real CVs from candidates who broke into buyside roles — anonymised for privacy. Study the structure.

⚠ All personal details have been anonymised. Use this as a structural template only.

Candidate A — Market Analyst

London, UK • STEM Background • Targeting: Buyside Equity / Macro Research

Education
Master's in Engineering2017 – 2021
Top UK Research University
Professional Experience
Analytics & Sales, Equities TeamJun 2023 – Present
Major Financial Data Provider, London
  • Supported buy-side Portfolio Managers and Analysts with data-driven insights, utilising proprietary API with macroeconomic analysis to enhance investment strategies
  • Developed custom models for historical financial ratios, portfolio risk, and macro trends
  • Guided client strategies on risk exposure using VaR models, delivering actionable insights
  • Conducted 100+ consultations for institutional clients
Economics & Investment Strategy AnalystJun 2022 – Jun 2023
Leading Management Consultancy, London
  • Created financial models for government projects, reducing model development time by 25%
  • Delivered economic impact assessments using Benefit-Cost Ratios for executive decision-making
Data Analytics AnalystSep 2021 – Jun 2022
Same firm — previous role
  • Built data pipelines and automated workflows with Power BI, Python, and SQL
  • Enhanced client data insights with interactive dashboards, increasing response rates by 75%
Projects
Portfolio Optimisation & Risk AnalysisOct 2022 – Jan 2023
  • Developed efficient frontier using Monte Carlo simulations in Python
  • Optimised portfolio through probabilistic Sharpe ratio, analysing 2,000+ scenarios
Technical Skills & Certifications
PythonSQLPower BIExcelBloomberg TerminalMonte CarloVaR ModelsFRM Level 1
⚠ All personal details have been anonymised. Use this as a structural template only.

Candidate B — Trading & Portfolio

London, UK • STEM Background • Targeting: PM / Quant Trader / Structured Products

Education
MSc Engineering2019 – 2021
Top 5 UK University — Full Academic Scholarship
BSc Physical Sciences2016 – 2019
Russell Group University
Professional Experience
Trading AssistantSep 2024 – Present
Tier 1 Multi-Manager Hedge Fund, London
  • Supporting PMs by facilitating trade bookings, managing expiry rolls, and providing detailed trade recaps
  • Developed automation tools incorporating APIs to improve workflow efficiency
  • Managing full trade lifecycle: Options, Swaps, CDS; consulting with counterparty sales teams
Portfolio Associate (Global Desk)Apr 2022 – Sep 2024
Top 3 Global Fixed Income Asset Manager, London
  • Portfolio Associate under two senior PMs on the Global Desk
  • Automated allocation files and option novation confirmations using SQL & Python
  • Handled trade bookings and reconciliation; created EOD reconciliation files
  • Managed NDF fixings, liaised with PMs, counterparties, and data providers
Institutional Fixed Income SalesJan 2021 – Apr 2022
Major Financial Data Provider, London
  • Managed central bank and government institution accounts using Python and R
  • Applied econometrics, ML, and advanced programming on large financial datasets
Software Engineering Summer InternJul 2018 – Oct 2018
Top Global Asset Manager, London
  • Quantitative analysis and data pipeline development within major risk management platform
Additional
JavaPythonMATLABSQLC++CFA Level 2 CandidateMSc Financial Engineering (in progress)5 Languages
⚠ All personal details have been anonymised. Use this as a structural template only.

Candidate C — Finance Graduate

California, US • Business & Finance Background • Targeting: Trading Analyst / Research

Education
Bachelor's in Business & FinanceGraduated Dec 2024
Top US Private University
  • Dean's List, Varsity Athlete
Professional Experience
Trading Analyst InternJun 2024 – Aug 2024
Top 3 Global Fixed Income Asset Manager
  • Completed intensive fundamentals training and two specialised desk rotations
  • Municipals Desk: Developed proposed portfolio for insurance client, researching bonds for alpha
  • IG Desk: Built internal dashboard tool displaying live credit trends over 10 fiscal quarters
  • Daily risk reports, new bond issuances, and weekly CLO updates
Finance InternMay 2023 – Aug 2023
Late-Stage Tech Startup
  • Finance and strategy projects for VP of Finance, driving revenue growth from Fortune 500 clients
  • Analysed 2-year sales pipeline; presented conversion insights to C-suite
Leadership
  • University Consulting Club — 11-week case programme; market research and supply chain analysis
  • University Investing Society — Built DCF valuations across tech, healthcare, and retail
Skills
ExcelBloomberg TerminalPowerPointPython3 Languages
⚠ All personal details have been anonymised. Use this as a structural template only.

Candidate D — Science Grad → Quant Researcher

London, UK • STEM Background • Targeting: Quant Researcher / Systematic Strategies

Education
MSc Mathematics & Statistics2021 – 2022
Top UK University
BSc Physics2018 – 2021
Russell Group University
Professional Experience
Junior Quant ResearcherSep 2023 – Present
Systematic Hedge Fund, London
  • Developing and backtesting alpha signals across equity and futures markets using Python
  • Built end-to-end signal pipeline: data ingestion, feature engineering, cross-validation, live monitoring
  • Collaborated with PMs on portfolio construction, risk budgeting, and factor exposure analysis
  • Researched alternative data sources (satellite, NLP sentiment, web traffic) for signal generation
Quantitative Research InternJun 2022 – Sep 2022
Mid-Size Quant Fund, London
  • Implemented statistical arbitrage models for equity pairs trading across 5 years of data
  • Developed cointegration screening tools, identifying 30+ viable pairs from 500 stocks
  • Presented findings to investment committee, leading to live deployment of one strategy
Data Science InternJul 2021 – Sep 2021
Major Tech Company
  • Built time-series forecasting models using LSTM and gradient-boosted trees
  • Automated data pipelines processing 10M+ daily records using PySpark and Airflow
Projects
  • Master's Dissertation: Deep reinforcement learning for portfolio allocation, outperforming equal-weight by 3.2% Sharpe
  • Kaggle: Top 5% in two financial prediction competitions (vol forecasting, credit default)
Technical Skills
PythonRC++SQLPyTorchscikit-learnPySparkTime SeriesStochastic CalculusMonte Carlo
⚠ All personal details have been anonymised. Use this as a structural template only.

Candidate E — Science Grad → Trader

London, UK • STEM Background • Targeting: Derivatives Trader / Options Market Making

Education
MSc Financial Mathematics2020 – 2021
Top 10 Global University
BSc Mathematics2017 – 2020
Russell Group University
Professional Experience
Graduate Trader — Equity DerivativesSep 2022 – Present
Tier 1 Investment Bank, London
  • Market making in single-stock and index options across European equities, managing 2,000+ positions
  • Pricing exotic derivatives (barriers, autocalls, worst-of) using vol surface models and Monte Carlo engines
  • Actively managing Greeks: delta-hedging intraday, rolling gamma/vega, adjusting skew positioning
  • Built Python tools for real-time P&L attribution by Greek, enabling faster risk decisions
  • Generated ideas from earnings vol mispricing, realised-vs-implied analysis, and term-structure dislocations
Summer Analyst — Sales & TradingJun 2021 – Aug 2021
Bulge Bracket Bank, London
  • Rotated across rates, FX, and equity derivatives desks; converted to full-time offer
  • Rates: Built swap curve monitor flagging mispricing vs. futures-implied forwards
  • FX: Analysed central bank meeting impact on implied vol term structure across G10 pairs
Quantitative Risk InternJun 2020 – Sep 2020
Asset Management Firm
  • Developed VaR and CVaR models for multi-asset portfolio; stress-tested against tail events
  • Automated weekly risk reports using Python, reducing manual effort by 80%
Projects & Competitions
  • Options Trading Competition: 1st place — highest risk-adjusted return from 60 teams
  • Master's Thesis: Calibration of local-stochastic vol models for exotics using neural networks
Technical Skills
PythonC++MATLABSQLBloombergExcel / VBABlack-ScholesGreeksVol Surface ModellingMonte Carlo Pricing