◆ Statistics

What an algorithmic trading analyst
really does.

20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.

20evidenced tasks
132,130in the US (2025)
$81,100median pay / year
8systems it runs on
See the 20 tasks ↓Open in the atlasThe full career map →
This is what one task looks like here
Provide recommendations on financial matters
Draft a concise recommendation memo for the desk recommending asset al…3 sources agree

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The work, task by task

20 tasks
Hands on the work14
Provide recommendations on financial matters+
Draft a concise recommendation memo for the desk recommending asset allocation shifts based on this quarter's corporate filings and central bank guidance, quantify expected P&L impact over six months and list three actionable trades with stop rules.
escojdonet3 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Assist in developing trading algorithms and risk tools+
Build a prototype risk module that computes intraday exposure and margin consumption for three strategies, include parameter hooks for position limits and correlation shocks, and produce a short note on implementation risks and monitoring cadence.
jdonet2 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Provide analytical support to researchers or traders+
Prepare a data pack for researchers showing cleaned price, volume and balance sheet indicators for the last five years, flag missing or suspect series, deliver summary charts and a prioritized list of follow-up data requests.
jdonet2 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Define or recommend model specifications or data collection methods+
Specify the model inputs and collection plan for a new factor: define the variable, required frequency and lookback, list source vendors and fallback fields, and provide a data validation checklist and estimated storage needs.
jdonet2 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Identify, track, or maintain metrics for trading system operations.+
Run daily operational metrics for the equities execution engine, flag latency, fill-rate, and failed-order counts for Desk 7 between 07:00 and 16:00, attach the hour-by-hour CSV and explain any spikes before 09:30.
onet
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Analyze pricing or risks of carbon trading products.+
Price the three most traded carbon credit contracts using last 30-day settlement prices, compute implied forward curves and value-at-risk by 95 percent over a one-week horizon, and summarise model assumptions and liquidity caveats for trading approval.
onet
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Advise on financial matters+
Review the hedge fund's latest quarterly financials, flag any revenue or expense lines that break the trading model assumptions, quantify the impact on projected Sharpe ratio for the next 12 months, and recommend position-sizing changes by Friday close.
esco
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Business processes+
Map the execution-to-settlement workflow for the equity systematic desk, identify three bottlenecks that raise market impact or settlement risk, propose measurable fixes with owner and cost estimates for the next operations meeting.
esco
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Grow the practice3
Watch and assess3

What the work runs on

named inside the evidenced tasks
15 tasksMicrosoft Excelbuilds the scenario tables, calculates P&L impacts and sensitivity checks for the recommendationsOpen its task library →
3 tasksMicrosoft Power BIcreates the summary charts, data quality flags and interactive views researchers use to explore series
2 tasksC++implements low-latency risk calculations and exposure tracking needed for intraday strategy monitoring
2 tasksLinuxhosts and runs the prototype with realistic process and performance profiling
2 tasksMicrosoft Officedocument the end-to-end workflow, produce slide-ready process maps and owner action items for stakeholders
1 taskAmazon Web Services AWSestimates storage, ingestion pipelines and services for collecting and validating time-series data at scale
1 taskIBM SPSS Statisticsperforms multivariate weighting, factor analysis and sensitivity testing for composite scoring
1 taskMicrosoft Azureexecutes larger backtest jobs and stores scenario outputs for team access
Browse every evidenced software task →

The same task, four heights

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ExecuteDo today's task, with fewer mistakesyou are here → ImproveMake it easy for the next person to acceptin the atlas → DecideWork out the right move when it is unclearin the atlas → BecomeLearn the pattern so it stops coming backin the atlas →

Can AI actually do this job?

the honest answer

It can

where it genuinely helps
  • Explain the theory behind the work
  • Draft, tidy and structure your writing
  • Rehearse a hard conversation before you have it
  • Build a study plan that fits your gaps

It cannot

where it stops, completely
  • Be in the room where an algorithmic trading analyst actually works
  • Carry the responsibility when the call is wrong — that weight stays yours
  • Notice what no one wrote down: the hesitation, the thing left unsaid
  • Live with the outcome
M · R6 of R7This job sits on speculating · trading — real theory, real diagnosis, but reality still holds the grading pen.

What the work pays

two countries, two different measures

United States

this exact occupation · BLS 2025
  • $81,100 a year — the middle: half earn more, half earn less
  • The lowest tenth earn near $48,460; the top tenth near $151,490
  • 132,130 people employed in this occupation

India

the occupation GROUP, not this job · PLFS via ILOSTAT 2025
  • ₹38,298 a month — the median for Professionals, the group this work sits in
  • India publishes pay by broad occupation group, so this covers many jobs besides this one. It is a shape, not a salary.
read this carefullyThese two numbers are not comparable and must not be converted into each other. One is a yearly figure for this job alone; the other is a monthly figure for a whole family of jobs. What travels between them is the pattern, not the amount: experience lifts pay almost everywhere.

Where the evidence lives

open any of it yourself
O*NETThe US Department of Labor's own record of this job9 of these tasks ESCOThe European skills and occupations register9 of these tasks Job descriptionsReal postings, in the wild8 of these tasks US Bureau of Labor StatisticsPay and employment, by occupation2025 figures UK NOS FSPSDNR04Undertake analysis and provide advice relevant to the securities or denational standard UK NOS FSPISM16Provide research and analysis of alternative investments support for pnational standard

Close to this work

12 nearby
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Questions people actually ask

You’ll split time between coding, data work, and meetings. Mornings often start with checking overnight model runs, market feeds, and any alerts from live trading systems.

Afternoons go to developing or backtesting algorithms in C++ or Python on Linux, updating Excel models, and meeting traders or risk managers to discuss parameter changes or stress-test results.

Expect C++ for low-latency strategies and Linux servers for deployments. You’ll also use Excel for quick analyses and Power BI for dashboards.

Cloud work happens in AWS or Microsoft Azure for data storage and compute. IBM SPSS Statistics might be used for some formal statistical tests, but most modeling is code-first.

Learn programming (start with Python, then C++ basics). Practice by backtesting simple strategies on historical price data and automating them on a local Linux machine.

Take courses on probability, statistics, and time-series. Learn Excel well (pivot tables, formulas) and basics of AWS or Azure. Build a small project you can show, like a backtest plus a Power BI dashboard.

Quant researchers focus mainly on creating new models and papers; algorithmic trading analysts put those models into production and monitor daily performance.

You’ll spend more time on systems, risk tools, execution details, and metrics tracking (alerts, latency, P&L), not just model derivation.

Use AI for drafting code snippets, generating test ideas, or explaining statistical methods, but never trust it without review. Always run and unit-test any AI-generated code on your Linux/dev environment.

Do not feed proprietary data or trading secrets into public AI services. If your firm allows AI, use an internal instance or vendor that supports data governance and logging.

The U.S. Bureau of Labor Statistics lists 132,130 employed in this category with a median pay of $81,100/yr. The lowest tenth earn about $48,460, and the top tenth about $151,490 (BLS).

Pay varies by city, firm type (prop desk vs. asset manager), and your skills in C++, cloud, and low-latency systems.

Attention to production monitoring and metrics. You must build and maintain operational metrics: latency, data completeness, P&L attribution, and error rates, and respond when they break.

Employers value someone who can both code models and set up dashboards (Power BI) or alerts for real-time trading operations — that skill prevents small bugs from turning into big losses.

km/h RPM

How far can AI take you?

one question
Be honest — how far can a language model take you on trading?
There is a real answer, and it is not the flattering one.