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Quantitative Analyst

Work from home

Remote role where the employee must remain based in a particular country.

United States only

From the listing details: Residency required in United States

Employer listed it 4 months ago · Added 5 weeks ago

Been open since 4 months ago. Long-running listings are sometimes left up after the role is filled.

Salary

$135,000 to $150,000

Location

United States only

Timezone

Not stated

Contract

Full-time

Experience

Mid

Category

Data

Stated by the employer in the job description

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
Location eligibility not confirmed
Contract
Not mentioned in the advert
Experience asked for
Not mentioned in the advert
Pay
At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations.

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "Remote - US"

What Nomaders makes of it

  • Residency required in United States
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

  • The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

Octus

Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting, and law firm verticals have come to rely on Octus to make better, faster, and more confident decisions in pace with the fast-moving credit markets. For more information, visit: https://octus.com/

Working at Octus

Octus hires growth-minded innovators and trailblazers across the globe to drive our business and culture. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Octus employees enjoy competitive health benefits, matched 401k and pension plans, PTO, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, and much more. Role

We are seeking a Quantitative Analyst for the analytics team at Sky Road, Octus’ state-of-the-art enterprise software platform for credit management professionals.

The Quantitative Analyst will work together with the analytics team, data team, and business analysts to facilitate client onboarding, improve existing onboarding processes, and debug, test, and build features for portfolio analytics and compliance. This is a cross-functional role that requires strong communication, organization, and collaboration skills.

Responsibilities

Assist with client onboarding and support. Work with the analytics team, data team, and business analysts to understand client data, configure portfolio compliance and analytics, and debug calculation issues

Implement, test, and maintain new functionality for portfolio compliance and onboarding

Help to improve and maintain documentation for internal team members

Requirements

Bachelor’s in Mathematics, Computer Science, Finance, Economics, or similar field with a strong quantitative emphasis

Experience with an object-oriented programming language such as Python, Java, or C#

Desire to understand and communicate problems from both a financial and technical point-of-view

Preferred

Experience with core financial data domains including issuers, instruments, industries, ratings, and pricing

Familiarity with CLOs and asset-based lending

Experience with analytic Python libraries, such as Pandas and Numpy

Familiarity with RESTful APIs and applications

Experience with AI tools, such as Claude Code or Google Gemini

At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $135,000-$150,000.

The actual compensation will be at Octus’ sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for a performance-based annual bonus.

Equal Employment Opportunity

Requirements

  • ·Bachelor’s in Mathematics, Computer Science, Finance, Economics, or similar field with a strong quantitative emphasis
  • ·Experience with an object-oriented programming language such as Python, Java, or C#
  • ·Desire to understand and communicate problems from both a financial and technical point-of-view
  • ·Experience with core financial data domains including issuers, instruments, industries, ratings, and pricing

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Octus, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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