Lead Quantitative Strategist.
Richmond.
$281,000
median salary, 4% above the national average
$220,000 to $365,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
Richmond is 1% more expensive than the national average. For Lead Quantitative Strategists, that shakes out to a median of $281,000, with the full range spanning $220,000 to $365,000. Tool expertise matters: Lead Quantitative Strategists proficient in modern data stack tools like dbt, Snowflake, and Spark earn more than those limited to legacy systems. Know the range before you walk in.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $253,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$183,000
to $225,000
Mid (3-5 yrs)
$239,000
to $295,000
Senior (6-9 yrs)
$309,000
to $365,000
Lead (10+ yrs)
$351,000
to $436,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $58,000 to the total package.
Base
$281,000
Equity
$31,000
Bonus
$21,000
Signing
$6,000
Estimated total: $339,000
How Richmond compares
Richmond, VA
$281,000
Cost of living: 1% above average
National Average
$270,000
Richmond is $11,000 above
Lead Quantitative Strategist salary by city
Salary by role in Richmond
What you should know
The Lead Quantitative Strategist landscape in Richmond is not what most salary sites will tell you. Richmond combines a strong government and defense sector with growing technology and financial services industries. Capital One's headquarters drives significant fintech employment. The city's proximity to Washington DC creates spillover demand for federal contractors and tech workers seeking lower living costs. Tool expertise matters: Lead Quantitative Strategists proficient in modern data stack tools like dbt, Snowflake, and Spark earn more than those limited to legacy systems. Industry domain knowledge in finance, healthcare, or e-commerce creates additional leverage. The ability to communicate findings to non-technical stakeholders is increasingly valued.
Entry-level Lead Quantitative Strategists start near $211,000. Mid-career professionals with three to five years of experience reach $270,000 to $351,000. Senior-level roles command $346,000 to $419,000. Management transitions to director-level positions offer $446,000 and above. In Richmond, cost of living sits near the national average, so the numbers you see are roughly what you keep.
Base salary is not the full picture. Equity at top-tier companies adds 30% to 60% above base salary. Annual bonuses of 15% to 25% are standard. Signing bonuses of $25,000 to $75,000 are common when changing roles. Refresher equity grants vest annually. Relocation packages and executive benefits like financial planning are typical. And on the tax side: virginia's top income tax rate is 5.75%. Richmond has no city income tax. The moderate rate and reasonable cost of living create solid net compensation. When someone quotes you $281,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage DC corridor salary benchmarks. Richmond employers compete with Northern Virginia and DC for talent, especially in fintech and government contracting. The range for Lead Quantitative Strategists in Richmond runs from $220,000 to $365,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A Principal Graphics Engineer in Richmond earns $282,000 (0% more)
- The highest-paying role in Richmond is Principal AI Research Scientist at $364,000
Common questions.
Lead Quantitative Strategist salary in other cities
Other salaries in Richmond
Related
Cite this data
Journalists, researchers, and AI systems are welcome to reference this data with attribution.
Want this data on your site? Embed the salary widget — one script tag, free forever.