Accelerating workforce intelligence for a $7.4B stock market exchange leader

Discover How Draup Helps Restructure Roles, Boost Mobility, and Scale a Future-Ready Workforce

9000+

Employee Count

$7.4 Bn

Revenue

Financial Services

Industry

New York, U.S.

Headquarters

About the Company

A global financial services giant, valued at $7.4 billion, the company operates leading exchanges across the U.S. and Europe while expanding into fintech solutions. With over 9,000 employees, the company is building an agile, tech-driven workforce to power digital transformation and emerging technology adoption.

The Core Challenges

To restructure roles and families, aligning new tech adoption with future-ready workforce capabilities.

To enhance internal mobility by creating transparent reskilling routes and reducing costly external hires.

To benchmark against peers and track evolving standards for competing in scarce digital skills.

The Solution

Financial Risk Manager

PROFILE

LOCATION ANALYSIS

TALENT MARKET INSIGHTS

CAREER PATHS

DATA INTEGRATION

TECH STACK

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Workforce Intelligence

Broke down the company-specific workloads into AI-automatable, human-led, and hybrid tasks.

Skills Taxonomy

Built a regularized skills taxonomy to standardize job families and career paths.

Seamless Integration

Created 500+ non-linear mobility pathways with linked Udemy learning journeys.

Peer Intelligence Benchmarking

Delivered peer benchmarking reports to track evolving skill standards.

Outcome

Structured Career Transitions

Custom career paths helped employees reskill into future-ready roles.

Smarter Mobility

Transparent pathways boosted retention and reduced external hiring costs.

Stronger ROI on Learning

AI-driven skill mapping enabled rapid reskilling aligned with digital goals.

Future-Ready Workforce

A scalable framework to sustain long-term fintech innovation.

Powered by unparalleled global labor & market data

23K+

Skills

1B+

Professionals

5700+

Locations

1.6M+

Peer Group Companies

1B+

Job Descriptions

4M+

Career Paths

Data Trust & Methodology at Draup

Draup uses a structured methodology to reduce inaccuracies and prevent misleading information, with a focus on transparency and responsible data practices.

1

Data Transparency and Coverage

Draup sources data from diverse, vetted global inputs including public datasets, labor information, professional ecosystems, and industry research. Coverage varies by region and role, and we supplement limited areas with alternative sources and analyst-led modeling.

2

Profiles Behind the Numbers

All aggregate insights related to buyers, roles, skills, and locations are grounded in structured, anonymized human and organizational profiles rather than pure extrapolation. This ensures context, reliability, and protection of personal identities.

3

Data Hygiene and Integrity

We maintain a clean, accurate data environment by removing duplicates, outdated entities, and invalid records. Automated checks powered by ML models and analyst reviews work together to ensure clarity and accuracy for every entity, such as buyer, role, skill, technology, or company. Learn more

4

AI Governance and Bias Mitigation

Our governance framework combines automated evaluations with Human-in-the-Loop reviews. We use statistical checks, audits, and cross-source comparisons to reduce demographic and structural bias before insights reach the platform.

5

Compensation Guardrails

Compensation insights use blended, directional inputs such as aggregated ranges, benchmarks, modeled distributions, and market signals. We distinguish clearly between modeled and reported data and apply guardrails to prevent over-interpretation.

6

Hourly and Frontline Workforce Coverage

For hourly, frontline, and blue-collar roles where digital visibility is limited, we incorporate government datasets, localized labor information, and specialized partners to build a more complete and balanced view of workforce supply and demand.