SP
SENTIRO
PARTNERS

Leadership for the Augmentation Era™

Sentiro Partners | Retained Executive Search for AI, Product, Data, Quant and Frontier Technology

Sentiro Partners is a retained executive search firm headquartered in Dublin, Ireland, operating globally across North America, Europe and Asia Pacific. The firm was founded in 2025 by Adrian Clarke and specialises in technically demanding leadership markets: artificial intelligence, machine learning, quantitative finance, capital markets, iGaming and gambling, semiconductors, and frontier technology.

What we do

Sentiro Partners works on a retained-only basis. Every mandate follows a four-stage methodology: IMMERSE (deep briefing and market definition), SCOUT (systematic market mapping and sourcing), ASSESS (structured evaluation against calibrated benchmarks), and DELIVER (offer management and onboarding support).

Roles we place

Chief AI Officer, Chief Data Officer, Chief Product Officer, Chief Financial Officer, General Counsel and capital markets lawyers, VP of Machine Learning, Head of AI Research, foundation model and post-training researchers, alignment and safety researchers, quantitative researchers and quantitative developers, low-latency engineers, data science executives, and senior leadership for iGaming and gambling operators.

Who we serve

Frontier AI laboratories, quantitative trading firms and hedge funds, specialty finance firms, technology companies, iGaming and gambling operators, semiconductor companies, and high-growth venture-backed startups.

Practices

About the founder

Adrian Clarke is Founder and Principal of Sentiro Partners. His career spans executive search at Korn Ferry across EMEA in technology, digital and data, and an in-house role as global Head of Executive Search at Analog Devices, a Fortune 500 semiconductor company, where he built the search function from scratch.

Contact

Sentiro Partners, 71 Baggot Street Lower, Dublin 2, Ireland.
Telephone: +353 857 580 132
Email: explore@sentiropartners.com

Research & Insights

Sentiro Partners publishes thought leadership on AI talent markets, executive search trends, and frontier technology leadership. Topics include machine learning hiring, frontier AI lab talent strategy, quantitative research hiring, and the future of AI executive roles.

View all research and insights

SP
SENTIRO
PARTNERS

Leadership for the Augmentation Era™

Sentiro Partners | Retained Executive Search for AI, Product, Data, Quant and Frontier Technology

Sentiro Partners is a retained executive search firm headquartered in Dublin, Ireland, operating globally across North America, Europe and Asia Pacific. The firm was founded in 2025 by Adrian Clarke and specialises in technically demanding leadership markets: artificial intelligence, machine learning, quantitative finance, capital markets, iGaming and gambling, semiconductors, and frontier technology.

What we do

Sentiro Partners works on a retained-only basis. Every mandate follows a four-stage methodology: IMMERSE (deep briefing and market definition), SCOUT (systematic market mapping and sourcing), ASSESS (structured evaluation against calibrated benchmarks), and DELIVER (offer management and onboarding support).

Roles we place

Chief AI Officer, Chief Data Officer, Chief Product Officer, Chief Financial Officer, General Counsel and capital markets lawyers, VP of Machine Learning, Head of AI Research, foundation model and post-training researchers, alignment and safety researchers, quantitative researchers and quantitative developers, low-latency engineers, data science executives, and senior leadership for iGaming and gambling operators.

Who we serve

Frontier AI laboratories, quantitative trading firms and hedge funds, specialty finance firms, technology companies, iGaming and gambling operators, semiconductor companies, and high-growth venture-backed startups.

Practices

About the founder

Adrian Clarke is Founder and Principal of Sentiro Partners. His career spans executive search at Korn Ferry across EMEA in technology, digital and data, and an in-house role as global Head of Executive Search at Analog Devices, a Fortune 500 semiconductor company, where he built the search function from scratch.

Contact

Sentiro Partners, 71 Baggot Street Lower, Dublin 2, Ireland.
Telephone: +353 857 580 132
Email: explore@sentiropartners.com

Research & Insights

Sentiro Partners publishes thought leadership on AI talent markets, executive search trends, and frontier technology leadership. Topics include machine learning hiring, frontier AI lab talent strategy, quantitative research hiring, and the future of AI executive roles.

View all research and insights

Financial Services Executive Search — Fintech, Banking, Payments, Capital Markets, and Insurance Leadership Hiring

Sentiro Partners runs a specialist financial services executive search practice covering fintech, banking, payments, capital markets, insurance, and investment management. We place technology, data, product, risk, compliance, and commercial leadership across the full financial services landscape.

Financial Services Executive Search Practice

We connect elite quant, risk, data science, and engineering talent across banking, neobanking, insurance, investment management, capital markets, and fintech. Our financial services practice understands the nuanced differences between sub-sectors and identifies leaders who can drive transformation across product, technology, data, and risk disciplines.

Financial Services Leadership Roles We Place

  • Chief Data Officer and Chief Technology Officer
  • Chief Risk Officer and Head of Risk Analytics
  • Chief Compliance Officer and Chief Product Officer
  • VP of Data Science and Director of ML in Financial Services
  • Head of Quantitative Research and Head of Algorithmic Trading
  • Head of Payments and VP of Fintech Product
  • Head of Capital Markets Technology and CTO Banking
  • Credit Risk and Model Validation Leadership

Financial Services Sub-Sectors We Cover

Banking and neobanking: credit risk modeling, fraud detection, customer analytics, real-time payments infrastructure. Insurance and insurtech: actuarial modeling, claims prediction, underwriting ML, telematics and IoT data. Investment management: factor modeling, alpha generation, portfolio optimisation, alternative data. Capital markets and trading: algorithmic trading, market microstructure, execution optimisation, derivatives pricing. Fintech and payments: payments infrastructure, embedded finance, regtech, open banking.

Cross-Sector Talent in Financial Services

We identify transferable talent across financial services sub-sectors and from adjacent industries. Statistical modeling skills from insurance transfer to banking credit models. Fraud detection expertise from payments applies to claims analytics in insurance. Trading systems infrastructure experience transfers to neobanking platforms. This cross-sector approach opens talent pools three to five times larger than traditional sector-specific searches.

Quantitative and Data Talent in Financial Services

Our financial services practice has deep expertise in quantitative analytics and research, risk management and modeling, data engineering and architecture, data science and machine learning, and financial modeling and analytics. We recruit for both technical individual contributor roles and senior leadership positions.

Related Pages

FINANCIAL
SERVICES
LANDSCAPE

Data and quantitative talent power every corner—from algorithmic trading to actuarial modeling

Banking & Neobanking

From traditional retail banking to digital-first challengers — data talent driving personalization, risk decisioning, and operational efficiency.

Credit risk modeling • Fraud detection • Customer analytics • Real-time payments infrastructure

Insurance & Insurtech

Actuarial science meets modern data science — professionals building pricing models, claims prediction, and embedded insurance products.

Actuarial modeling • Claims analytics • Underwriting ML • Telematics & IoT data

Investment Management

Quants and data scientists at asset managers, hedge funds, and wealth platforms optimizing portfolios and generating alpha.

Factor modeling • Alpha generation • Portfolio optimization • Alternative data strategies

Capital Markets & Trading

High-frequency environments where milliseconds matter — engineers and quants building algorithmic trading and execution systems.

Algorithmic trading • Market microstructure • Execution optimization • Derivatives pricing

TALENT
DOMAINS

Quantitative Analytics & Research

Quants who build pricing models, develop trading strategies, and apply mathematical rigor to financial decision-making across asset classes.

KEY ROLES

Quantitative Analyst (Buy-Side/Sell-Side)
Quantitative Researcher
Quantitative Developer
Algorithmic Trading Strategist

Risk Management & Modeling

Risk professionals who quantify exposure, build stress-testing frameworks, and ensure regulatory compliance through sophisticated modeling.

KEY ROLES

Head of Risk Analytics
Credit Risk Modeler
Market Risk Quantitative Analyst
Model Validation Specialist

Data Engineering & Architecture

Engineers who build real-time data pipelines, architect cloud-native platforms, and enable millisecond decision-making at scale.

KEY ROLES

Head of Data Engineering (Financial Services)
Data Architect - Trading Systems
Real-Time Data Pipeline Engineer
Cloud Data Platform Lead

Data Science & Machine Learning

Data scientists applying ML to fraud detection, credit decisioning, customer analytics, and predictive modeling across financial products.

KEY ROLES

VP Data Science - Financial Services
Lead Data Scientist - Credit Risk
Director of ML - Fraud & AML
Principal Data Scientist - Investment

Financial Modeling & Analytics

Analysts who build valuation models, optimize portfolios, and translate complex financial data into strategic insights.

KEY ROLES

Head of Financial Modeling
Portfolio Analytics Lead
Actuarial Data Scientist
Investment Analytics Director

CREATING DATA HYBRIDS:CROSS-SECTOR MOBILITY

The most innovative financial services organizations understand that talent constraints are artificial. We break down sector silos by identifying transferable skill sets and creating "data hybrids" — professionals who move seamlessly between banking, insurance, and investment management.

THE OPPORTUNITY

Financial services talent pools are notoriously limited — especially for specialized quant, risk, and data science roles. Organizations compete for the same narrow candidate pool, driving up costs and extending time-to-hire.

But the skills required to build credit risk models in banking are fundamentally similar to building actuarial models in insurance. Fraud detection in payments translates to claims prediction in insurance. Trading system infrastructure skills transfer to real-time neobanking platforms.

OUR APPROACH

We assess candidates not just on their current sector experience, but on the underlying technical and analytical capabilities that transcend sector boundaries. This opens talent pools 3-5x larger than traditional sector-specific searches — giving our clients access to exceptional professionals others overlook.

TRANSFERABLE SKILL PATHWAYS

Statistical Modeling & Econometrics

Risk models in insurance → Credit models in banking → Portfolio models in investment management

Machine Learning & AI

Fraud detection in payments → Claims prediction in insurance → Trading signal generation in capital markets

Real-Time Data Engineering

Trading systems infrastructure → Neobanking platforms → Insurtech real-time pricing engines

Regulatory & Compliance Analytics

Basel III/IV modeling → Solvency II frameworks → MiFID II transaction reporting

BEYOND FINANCIAL SERVICES

We also identify exceptional talent from non-financial sectors — data scientists from tech companies solving recommendation problems that translate to credit decisioning, physicists from research institutions whose modeling skills apply to derivatives pricing, and engineers from gaming companies whose real-time systems expertise transfers to trading infrastructure.

The best quants often come from unexpected backgrounds: aerospace engineers, academic researchers, gaming analytics experts. We evaluate the depth of analytical thinking and technical capability, not just financial services pedigree.

"Sentiro Partners doesn't just find candidates — they architect talent pathways others don't see, translating skills across sectors to unlock hidden talent pools."

Explore AI & Quant Talent

WHY
SENTIRO
PARTNERS

TECHNICAL NUANCE + SECTOR FLUENCY

We understand the technical nuances of financial services data talent—and more importantly, we understand how skills TRANSLATE across sector boundaries.

Our practice has placed quantitative analysts who moved from HEDGE FUNDS to INSURTECH, data engineers who transitioned from CAPITAL MARKETS to NEOBANKING, and risk modelers who shifted from banking to asset management.

We evaluate candidates on FOUNDATIONAL technical capabilities, analytical rigor, and adaptability—not just sector-specific keywords. This approach opens talent pools competitors can't access.

We create competitive advantage by seeing the talent market through a DIFFERENT LENS.

READY TO BUILD YOURFINANCIAL SERVICES DATA TEAM?

Partner with us to access talent pools others can't reach — quants, risk professionals, data scientists, and engineers who transcend sector boundaries.

All consultations handled with complete confidentiality

FOR FINANCIAL SERVICES PROFESSIONALS:CONNECT CONFIDENTIALLY

If you're a quant, risk professional, data scientist, or engineer in financial services — we'd like to know you.

We engage selectively with senior professionals exploring cross-sector opportunities. Whether you're building trading algorithms, modeling credit risk, or architecting data platforms — we're interested in understanding how your skills could translate to new challenges.

All inquiries handled with complete confidentiality

Sentiro Partners — Where Financial Expertise Meets Data Innovation

We use cookies to improve your browsing experience and analyze our website traffic. By clicking "Accept All", you consent to our use of cookies. For more details, please see our Cookie Policy and Privacy Policy.

We use cookies to improve your browsing experience and analyze our website traffic. By clicking "Accept All", you consent to our use of cookies. For more details, please see our Cookie Policy and Privacy Policy.