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COMPANIES USING

Financial Services Companies Using NumPy

259 companies in Financial Services are hiring NumPy talent.

NumPy is the numerical computing backbone of Python-based data workflows, enabling high-performance array operations and mathematical modeling at scale. When a financial services firm posts NumPy roles, it signals active investment in quantitative analysis pipelines — think risk modeling, algorithmic trading systems, or real-time portfolio analytics. These companies are almost certainly co-buying or co-evaluating data infrastructure tools, MLOps platforms, and cloud compute services.

Buying Signal

A financial services firm hiring NumPy talent is building or expanding a quantitative data stack — not maintaining legacy systems. They likely need data pipeline tooling, model deployment infrastructure, and possibly alternative data feeds. Sales reps at cloud platforms (AWS, GCP), data warehouse vendors, or risk analytics software companies should treat these job posts as a trigger to open outreach immediately.

Top Companies45 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
Alter Domus
alterdomus.com
 Financial Services Luxembourg 5,001+ 356
BTG Pactual
btgpactual.com
 Financial Services Brazil 5,001+ 390
Focus Financial Partners
focusfinancialpartners.com
 Financial Services St. Louis, United States 5,001+ 176
Invesco
invesco.com
 Financial Services Atlanta, United States 5,001+ 344
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
BDO Canada
bdo.ca
 Financial Services Toronto, Canada 1,001–5,000 1,042
SoFi
sofi.com
 Financial Services San Francisco, United States 1,001–5,000 918
Crisil
crisil.com
 Financial Services Mumbai, India 1,001–5,000 1,092
Ramp
ramp.com
 Financial Services New York, United States 1,001–5,000 533
Bybit
bybit.com
 Financial Services Jamaica 1,001–5,000 379
Inter
intergo.app
 Financial Services Belo Horizonte, Brazil 1,001–5,000 192
Bitget
bitget.com
 Financial Services Seychelles 1,001–5,000 222
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
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
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
BNY
bny.com
 Financial Services New York, United States 10,001+ 1,558
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
Prudential Financial
prudential.com
 Financial Services Newark, United States 10,001+ 977
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

259 companies use NumPy. Want the full list?

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Market Signal

259 financial services companies actively hiring NumPy talent, spanning over 43,000 open roles, indicates this isn't exploratory adoption — it's scaled, production-grade deployment. The volume suggests NumPy has become a baseline technical requirement for quantitative and data engineering teams in this sector.

Stack Intelligence

NumPy almost never appears alone: companies hiring for it consistently pair it with Python, pandas, and scikit-learn, indicating teams building end-to-end machine learning or statistical modeling workflows rather than one-off analysis. This stack combination signals a mature data science function, not an early-stage experiment. For vendors, this means the company likely has or is actively evaluating feature stores, model registries, and orchestration tools like Airflow or Prefect.

Hiring Landscape

NumPy in the Market

Where and how companies hire NumPy talent

By Country

United States
92
United Kingdom
27
Brazil
18
India
13
Canada
10
China
10
Singapore
10
Netherlands
8

Top Roles

Data Engineer120Product Manager118Software Engineer112Data Scientist102Data Analyst87Business Analyst80Project Manager68Ai Engineer53Legal Counsel53Devops Engineer51Product Owner50Product Designer49

Related Technologies

PythonPandasscikit-learn
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Frequently Asked Questions

What is NumPy?

NumPy powers the numerical operations behind quantitative finance, fraud detection models, and risk engines in production environments. For business purposes, it's the foundation of any serious Python-based data or ML workflow. When a firm is hiring for it, they're investing in computational capabilities — not just analysis.

Why should sales teams track NumPy hiring?

Tracking NumPy hiring in financial services lets sales teams identify firms mid-build on data or ML infrastructure — the highest-intent buying window. A rep selling data observability or cloud storage, for example, can use these signals to prioritize outreach before a vendor decision is made.

Who should be selling to companies that use NumPy?

Vendors best positioned here include cloud infrastructure providers, MLOps and model deployment platforms, financial data and alternative data vendors, and data pipeline or orchestration tooling companies.