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SME - Macro Data & Quant Research Platform Review at Unison Group

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

25 Jun, 26

Salary

0.0

Posted On

27 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Macro Data Semantics, Point-in-Time Correctness, Quant Research Reproducibility, Data Models, Bitemporal Structures, Data Pipelines, Nowcasting Flows, Research Workflows, Backtesting, Signal Generation, Bitemporal Data Systems, Data Revisions, Vintage Handling, Databricks

Industry

Business Consulting and Services

Description

We are building a next-generation Quant Research Platform on Databricks for a large financial institution, focused on macroeconomic data workflows. We are seeking a Subject Matter Expert (SME) to review our data model, pipelines, and research architecture and provide targeted recommendations. This is a high-impact design review role, requiring deep expertise in macro data semantics, point-in-time correctness, and quant research reproducibility. You will review: Data models (macro datasets, bitemporal structures) Data pipelines (ingestion, transformations, nowcasting flows) Research workflows (signals, backtesting, feature pipelines) Metadata, lineage, and reproducibility design Hands-on experience with macro-economic datasets (GDP, CPI, inflation, rates, etc.) Strong understanding of: Point-in-time data modeling Bitemporal data systems Data revisions and vintage handling Experience in quant research environments, including: Signal generation Backtesting Prior work in one of: Asset manager Hedge fund Economic data vendor

Responsibilities

The role involves reviewing the data model, pipelines, and research architecture for a next-generation Quant Research Platform built on Databricks, focusing on macroeconomic data workflows. The SME will provide targeted recommendations based on deep expertise in macro data semantics and research reproducibility.