Data Quality and Reliability Engineering, BlackRock Global Markets, Director at BlackRock

Mumbai, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Investment, Capital MarketsIndustries

Requirements

10+ years in at scale data quality, data science, or ML engineering
Experience operationalizing ML or rules-based quality systems at enterprise scale
Deep understanding of data validation, anomaly detection, and data observability
Investment Systems, Capital markets domain knowledge (highly accretive)
Proficiency in data architecture protocols and previous involvement with financial or investment data systems (beneficial)
Bachelor’s degree or equivalent experience in Computer Science, Engineering, or related discipline

Responsibilities

Architect and build infrastructure, processes, technology, and collaboration model to embed rigorous data quality and reliability practices across all systems from ingestion through consumption
Spearhead development of next-generation data ecosystem with a quality-first mindset for scalable, innovative, trusted data platform
Balance hands-on execution, strategic direction, and team leadership to ensure reliable, high-quality data platform
Establish data quality frameworks combining rules-based validation (schema checks, business rules, thresholds), statistical profiling (distribution checks, drift detection), ML models for anomaly detection, and LLM-assisted contextual checks
Integrate validation models into data pipelines for real-time (synchronous) checks and asynchronous large-scale monitoring for batch data flows
Manage lifecycle of data quality models including regular retraining, version control, and performance monitoring
Establish and publish data quality metrics and dashboards (e.g., completeness, timeliness, accuracy, consistency)
Embed robust observability hooks and automated remediation processes into data pipelines for early detection and proactive addressing of issues
Develop governance around model lifecycle for data quality from training to deployment
Define and track KPIs for data quality and reliability
Partner with Data Platform Engineering, data governance, and analytics leads to embed quality monitoring throughout data flows
Lead and mentor engineering teams, establish high coding standards, and drive continuous improvement in platform reliability and developer efficiency
Demonstrate excellent collaboration and communication skills to bridge technical and business needs

Skills

Data Quality

Data Reliability

ML Engineering

Data Validation

Anomaly Detection

Data Observability

Data Architecture

Rules-based Validation

Statistical Profiling

Drift Detection

Schema Checks

Business Rules

Data Lineage

BlackRock

About BlackRock

New York City, New YorkHeadquarters

1988Year Founded

$78,647.7MTotal Funding

IPOCompany Stage

Fintech, Financial ServicesIndustries

Benefits

Health Insurance

Unlimited Paid Time Off

Mental Health Support

Wellness Program

401(k) Retirement Plan

Risks

FDIC scrutiny could lead to regulatory challenges for BlackRock.

Workforce reduction may indicate internal financial pressures or strategic shifts.

Involvement in Yangzijiang Shipbuilding exposes BlackRock to geopolitical risks.

Differentiation

BlackRock's Bitcoin ETF, IBIT, reached over $50 billion in assets quickly.

The firm is developing a layer-2 tokenized real-world asset platform on Ethereum.

BlackRock's partnership with Frax Finance enhances its stablecoin market presence.

Upsides

IBIT's success attracts a broader range of cryptocurrency investors.

The Ethereum platform positions BlackRock as a leader in blockchain financial services.

Partnership with Frax Finance enhances digital finance offerings and compliance.

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