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COMPANIES USING

Financial Services Companies Using Pandas

245 companies in Financial Services are hiring Pandas talent.

Pandas is a Python-based data manipulation library used to clean, transform, and analyze structured datasets — the backbone of any financial data pipeline. When a financial services firm is actively hiring for Pandas skills, they're building or scaling internal data infrastructure, often signaling active procurement of data platforms, analytics tooling, or workflow automation software. These companies are typically in-market for data warehousing solutions, BI tools, and ETL orchestration platforms.

Buying Signal

A financial services company posting Pandas roles is investing in proprietary data workflows — often replacing legacy Excel-based processes or third-party analytics vendors with in-house solutions. This signals active evaluation of cloud data platforms, model deployment infrastructure, and data quality tools. Sales reps at vendors like Snowflake, dbt Labs, Databricks, or data observability companies should be prospecting these accounts immediately.

Top Companies46 shown

CompanyIndustryHQ LocationSizeJobsLinks
Capco
capco.com
 Financial Services Greater London, United Kingdom 5,001+ 1,037
The Citco Group Limited
citco.com
 Financial Services Cayman Islands 5,001+ 525
BTG Pactual
btgpactual.com
 Financial Services Brazil 5,001+ 390
Focus Financial Partners
focusfinancialpartners.com
 Financial Services St. Louis, United States 5,001+ 176
Fidelity International
fidelityinternational.com
 Financial Services City of London, United Kingdom 5,001+ 260
Getnet
getnetworld.com
 Financial Services Boadilla del Monte, Spain 5,001+ 185
Nubank
nubank.com.br
 Financial Services São Paulo, Brazil 5,001+ 145
BDO Canada
bdo.ca
 Financial Services Toronto, Canada 1,001–5,000 1,042
Crisil
crisil.com
 Financial Services Mumbai, India 1,001–5,000 1,092
Robinhood
robinhood.com
 Financial Services Menlo Park, United States 1,001–5,000 398
Actinver
actinver.com
 Financial Services Mexico City, Mexico 1,001–5,000 202
Checkout.com
checkout.com
 Financial Services Greater London, United Kingdom 1,001–5,000 295
PicPay
picpay.com
 Financial Services Brazil 1,001–5,000 237
Point72
point72.com
 Financial Services Stamford, United States 1,001–5,000 385
PENNYMAC
pennymac.com
 Financial Services Westlake Village, United States 1,001–5,000 286
Balyasny Asset Management L.P.
bamfunds.com
 Financial Services Chicago, United States 1,001–5,000 193
Ademicon
ademicon.com.br
 Financial Services Curitiba, Brazil 501–1,000 306
Maya
maya.ph
 Financial Services Mandaluyong, Philippines 501–1,000 329
Keyrock
keyrock.com
 Financial Services Brussels, Belgium 51–200 735
MM Invest AI
mminvestai.com.br
 Financial Services São Paulo, Brazil 11–50 524
ForFutures Financial, Planning, a financial advisory practice of Ameriprise Financial Services LLC
fafltd.com
 Financial Services Marlton, United States 2–10 354
PNC
pnc.com
 Financial Services Pittsburgh, United States 10,001+ 2,213
HSBC
hsbc.com
 Financial Services Greater London, United Kingdom 10,001+ 1,775
Capital One
capitalone.com
 Financial Services McLean, United States 10,001+ 1,764
JPMorganChase
jpmorganchase.com
 Financial Services New York, United States 10,001+ 1,691
State Street
statestreet.com
 Financial Services Boston, United States 10,001+ 1,704
Barclays
home.barclays
 Financial Services Greater London, United Kingdom 10,001+ 1,711
Deutsche Bank
db.com
 Financial Services Frankfurt, Germany 10,001+ 1,586
Citi
citigroup.com
 Financial Services New York, United States 10,001+ 1,941
Morgan Stanley
morganstanley.com
 Financial Services New York, United States 10,001+ 1,610
Goldman Sachs
goldmansachs.com
 Financial Services New York, United States 10,001+ 1,563
UBS
ubs.com
 Financial Services Zurich, Switzerland 10,001+ 1,393
BlackRock
blackrock.com
 Financial Services New York, United States 10,001+ 979
Revolut
revolut.com
 Financial Services Greater London, United Kingdom 10,001+ 1,494
MUFG
mufg.jp
 Financial Services Chiyoda, Japan 10,001+ 1,075
Fidelity Investments
fidelity.com
 Financial Services Boston, United States 10,001+ 941
Raymond James
raymondjames.com
 Financial Services Saint Petersburg, United States 10,001+ 889
Lloyds Banking Group
lloydsbankinggroup.com
 Financial Services Greater London, United Kingdom 10,001+ 630
Commonwealth Bank
commbank.com.au
 Financial Services Sydney, Australia 10,001+ 674
Equifax
equifax.com
 Financial Services Atlanta, United States 10,001+ 541
First American
firstam.com
 Financial Services Santa Ana, United States 10,001+ 509
ICE
ice.com
 Financial Services Atlanta, United States 10,001+ 577
KPMG France
kpmg.fr
 Financial Services Courbevoie, France 10,001+ 395
Northern Trust
northerntrust.com
 Financial Services Chicago, United States 10,001+ 423
FactSet
factset.com
 Financial Services Norwalk, United States 10,001+ 448
Aegon
aegon.com
 Financial Services Netherlands 10,001+ 343

245 companies use Pandas. Want the full list?

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Market Signal

245 financial services companies hiring across nearly 41,000 open roles isn't background noise — it reflects a sector-wide push toward quantitative, data-native operations. The US leads with 99 companies hiring, but meaningful activity in the UK, Brazil, China, and India suggests this is a global infrastructure buildout, not a regional trend.

Stack Intelligence

Companies hiring for Pandas almost always co-hire for Python, NumPy, and scikit-learn — a combination that signals a maturing ML and data science practice, not just basic reporting. This stack indicates these firms are building predictive models and automated decision systems, making them prime targets for MLOps platforms, feature stores, and model monitoring vendors.

Hiring Landscape

Pandas in the Market

Where and how companies hire Pandas talent

By Country

United States
99
United Kingdom
26
Brazil
15
China
11
India
11
France
7
Germany
7
Singapore
7

Top Roles

Data Engineer117Software Engineer115Product Manager110Data Scientist91Data Analyst82Business Analyst67Project Manager66Devops Engineer56Legal Counsel53Ai Engineer49Full Stack Developer48Site Reliability Engineer48

Related Technologies

PythonNumPyscikit-learn
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Frequently Asked Questions

What is Pandas?

Pandas is the standard tool financial analysts and data engineers use to process and reshape large structured datasets before analysis or modeling. In financial services, it underpins everything from risk calculations to trade reconciliation. Hiring for it signals a company is scaling its data capabilities beyond off-the-shelf software.

Why should sales teams track Pandas hiring?

Pandas hiring is an early indicator that a company is building internal data infrastructure — which precedes purchasing decisions for adjacent tooling. A rep selling data pipeline or analytics software who catches this signal early can engage before the vendor shortlist is formed.

Who should be selling to companies that use Pandas?

Vendors best positioned here include cloud data warehouse providers, MLOps and model deployment platforms, data integration and ETL tools, and financial data feed or market data API companies.