Salary
$900–$1k
Posted
2h ago
Source
himalayas
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Domain Expert – Banking (Oracle FLEXCUBE Research)
Type:Contract
Compensation:$75–$120/hour
Location:Remote
Role Responsibilities
- Confirm the customer/contract position reflects actual events, not assumptions, especially on partial handoffs.
- Work out current exposure under the bank's credit standard as of the current business date, and record it with a review date.
- Distinguish validation-only actions from bookings that affect a contract.
- Judge completeness: ensure the full position is understood, nothing is left open, and the record is ready for the next reviewer or committee.
- Verify recorded outcomes are traceable and auditable, not just noted informally.
Qualifications
Must-Have
- Frequent Oracle FLEXCUBE use — weekly or more — in your current or recent role.
- 2+ years of professional experience in banking operations, credit, or a related core-banking function.
- Reflexive familiarity with credit standards, exposure calculation, and validation-vs-booking distinctions.
- Bachelor's degree in Finance, Accounting, Business, or a related field; a banking/credit certification (e.g., Chartered Banker – CIOB, Certified Credit Professional) or equivalent hands-on core-banking experience.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Salary in context
This salary range is below the typical band for remote Data & AI roles — comparable roles on RemoteTide top out closer to $120k.
Before you apply
- Confirm data stack maturity (warehouse, transformation, BI tooling)
- Ask whether the role is analyst-leaning or ML/eng-leaning
- Check data quality ownership — who owns the source-of-truth?
Interested in this role?
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