Lead Quantitative Researcher.
Columbia.
$236,000
median salary, 13% below the national average
$184,000 to $306,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
Lead Quantitative Researcher pay in Columbia ranges from $184,000 to $306,000 in 2026. The median is $236,000, 13% below the national average. Columbia is South Carolina's capital and home to Fort Jackson, the University of South Carolina, and a growing insurance and financial services sector. Every dollar in that range is negotiable if you come prepared.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $213,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$153,000
to $189,000
Mid (3-5 yrs)
$201,000
to $248,000
Senior (6-9 yrs)
$260,000
to $307,000
Lead (10+ yrs)
$295,000
to $366,000
Salary trend
+5% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $62,000 to the total package.
Base
$236,000
Equity
$35,000
Bonus
$22,000
Signing
$5,000
Estimated total: $298,000
How Columbia compares
Columbia, SC
$236,000
Cost of living: 10% below average
National Average
$270,000
Columbia is $34,000 below
Lead Quantitative Researcher salary by city
Salary by role in Columbia
What you should know
Before you negotiate a Lead Quantitative Researcher offer in Columbia, understand the terrain. Columbia is South Carolina's capital and home to Fort Jackson, the University of South Carolina, and a growing insurance and financial services sector. The city offers very affordable living and stable government and military employment. Tech growth is accelerating as remote work brings new residents. Tool expertise matters: Lead Quantitative Researchers 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 Researchers 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 Columbia, 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: south Carolina's top income tax rate is 6.4%. Columbia has no city income tax. The moderate state rate is offset by very affordable housing and living costs. When someone quotes you $236,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage government and military contractor pay scales. Columbia employers align with federal benchmarks which often exceed local private sector rates. The range for Lead Quantitative Researchers in Columbia runs from $184,000 to $306,000. 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 Staff NLP Engineer in Columbia earns $235,000 (0% more)
- The highest-paying role in Columbia is Principal Quantitative Researcher at $321,000
Common questions.
Lead Quantitative Researcher salary in other cities
Other salaries in Columbia
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.