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Rimes Technologies

Data Analyst

  • Seen live on Rimes Technologies' site today
  • Mid level
Pay
Not stated
Location
Manila, Phillipines
Open for
12+ days
First seen
Oct 23, 2026

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Rimes Technologies' site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Rimes Technologies, so its true age is longer.

Last checked Nov 4, 2026.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

About Rimes

Rimes provides the Intelligence Fabric for Capital Markets, a trusted data network and intelligence architecture that transforms fragmented data, operations and workflows into decision-grade intelligence. The world’s leading institutional investors, asset managers, and service providers rely on Rimes to help them make better investment decisions that power more than US$ 75 trillion in AUM annually.

The Opportunity

We are currently recruiting for a Data Analyst to join our global Data organization. This is an excellent opportunity to join a well established firm with a global footprint and significant growth potential.

As a Data Analyst at Rimes, you will apply your analytical and problem solving expertise to research complex issues related to financial data sources across a wide range of asset classes, including fixed income, equities, ETFs, and commodities.

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.

Requirements

  • Bachelor or Master, in Finance, Science, Engineering or Mathematics-related field.
  • Results-driven and detail-oriented with strong problem-solving skills.
  • Flexible and efficient at multitasking across various assignments.
  • 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.
  • Attentive to detail with a demonstrated ability to think creatively.
  • A confident communicator with exceptional interpersonal skills.

Also useful

  • Knowledge of financial markets and financial data
  • Previous work experience in the financial industry
  • Python/Perl experience.
  • Knowledge of SQL.
  • Hands-on experience working with Databricks or similar distributed data processing platforms

Work Model : hybrid approach, 2 days per week in our office, hours 9am - 6pm.

Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.

Rimes is committed to promote the values of diversity and inclusion throughout the business. Whether it’s through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.

Visit our Careers page to see our complete listings.

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