Finance Data Analyst — Elevate Market Data & Insights

Rimes; Manila; Hybrid; PHP 500,000 - 800,000; Full time

Job summary

Rimes invites a Data Analyst to join its global Data organization in Manila. You will apply analytical and problem-solving skills to research financial data sources across assets like fixed income, equities, ETFs and commodities.

Responsibilities include maintaining data products, collaborating with data developers, answering client data questions, and coordinating with suppliers on methodologies and data anomalies. Hybrid work model with two office days weekly.

Qualifications

• Bachelor or Master in Finance, Science, Engineering or Mathematics-related field.
• Results-driven and detail-oriented with strong problem-solving skills.
• Strong verbal and written communication skills in English.
• Able to work independently, take initiative, and prioritize effectively.
• Interested in technology while recognizing the importance of process and structure.

Responsibilities

• Maintain and support the suite of Rimes products and services.
• Collaborate with data developers and performance analysts on optimizing data quality and the efficiency of data infrastructures.
• Respond to data questions coming in from clients and from client-facing teams within Rimes.
• Coordinate with data suppliers about calculation methodologies and data anomalies.
• Playing a key role in upholding Rimes’ commitment to data quality.

Skills

Problem-solving

Communication

Independent worker

Multitasking

Attention to detail

Interpersonal skills

Education

Bachelor or Master in Finance, Science, Engineering or Mathematics-related field

Tools

Python/Perl

SQL

Databricks

Job description

Rimes invites a Data Analyst to join its global Data organization in Manila. You will apply analytical and problem-solving skills to research financial data sources across assets like fixed income, equities, ETFs and commodities.

Responsibilities include maintaining data products, collaborating with data developers, answering client data questions, and coordinating with suppliers on methodologies and data anomalies. Hybrid work model with two office days weekly.