DealX is a technology and data company that builds Software-as-a-Service products for the financial market (Securitization), with customers primarily in the US.

We’re a people-first product company that believes in building empowered & autonomous product teams to deliver on our Product Vision & Strategy, with a strong culture of collaboration over and above our core values of Curiosity, Can-do, Accountability, Simplicity, Communication and Wellbeing.

Our offices are primarily in Mauritius & South Africa, although we do have team members in the US, UK and New Zealand as well.

Whilst we started in 2006 as a single company, in 2021 we separated the Consulting (StructureIt) part of the business from the Product (DealX) part of the business. Our shared services group "Enablement" remains employed by StructureIt and provides services to both businesses.

In 2021, Morningstar Credit invested in DealX as part of the reorganisation, and in 2023, we launched a collaborative new product. The platform is powered by DealX Tech & Data and marketed as Morningstar Credit Analytics, a well-known and trusted brand in the US market. We are proud to say that as of March 2025, DealX is wholly owned by Morningstar Credit,with the data exclusively provided by our Mauritius team, and we have tremendous ambition to bring deeper and wider value to the market through additional tech and data products.

We’re looking for dynamicJunior Data Analysts to join our mission!

Learn more about us here:

About DealX
Employee Value Proposition
Employee Handbook
Marketing page for our products -https://credit.morningstar.com/

What a typical day looks like

In this role you will gather, extract, transform and analyze complex financial data by working with cutting edge tools and new technologies. You will have a real opportunity for growth, success and be part of a highly talented & dynamic team within the analytics department. You will also gain valuable experience in a niche financial market area of securitization and learn new methodologies.

Our Data analytics process consists of the following:

Gathering of data - We automatically gather data from a variety of sources
Extracting of data - We extract data from any file format, including PDF
Transforming of data - We then clean, restructure, aggregate and classify the data
Quality Assurance - We perform automated and manual quality assurance steps
Analysing of data - We analyse and get insights into the data
Delivering of data - We deliver the data and insights via a website or feed.

What you’ll do

Mapping of collateral data from CLO (Collaterised Loan Obligations) portfolio reports to a standardised set of loan instruments.

Mapping is primarily carried out via text matches of the asset / borrower name and the terms and conditions of the asset (typically a leveraged loan).
Mapping will be carried out using a custom built browser based mapping application.
Mapping will need to be carried out to a tight schedule.
Performing of Quality Assurance steps.
Scrutinising of legal documents and identifying of relevant information from Deal documents pertaining to CLOs, CMBS etc.
Performing of Deal set up and Extraction rules set up on system.
Detection and rectification of legacy data when errors are found to be present
Liaising with development team to suggest improvements / changes to the system.
Liaising with loan instrument pricing team to suggest updates to existing data.
Contribute and participate in Ad-Hoc projects.

What we are looking for

Good eye for detail and the ability to digest and makes decisions based on a large volume of information.
A strong ability in the effective use of a variety of applications.
Quick learner, analytical and problem-solving mind-set
Enthusiastic about new concepts and a strong desire to strive for improvement
Highly organized and efficient in time management.
A determination to process tasks according to pre-defined processes is essential.
Good communication and interpersonal skills
Flexibility in terms of working hours.
Ability to work under pressure & multi-task, using a team approach to solve problem when appropriate.
Excellent teamwork skills and work effectively in cross-functional teams

Qualifications:

Degree in Finance/ Banking/ Mathematics/ Business/ Statistics or any other related field.
At least one year of working experience in relevant field

Nice to have:

Prior experience in performing of reconciliation would be good, although this is not a mathematical reconciliation.
Understanding of Fixed income securities.
Understanding of Loan basics.
Understanding of CLOs (Collaterised Loan Obligations), CDOs (Collaterised Debt Obligations), ABS (Asset-Backed Securities) and Bonds.
All of the above would be advantageous, but appropriate training will be given to the right candidate.

What’s in it for you?

Our internal employee handbook, including details about our benefits, is published publicly - so feel free to read through it there, or look at the highlights below

Working
- Hybrid working environment - Work From Home or Office (with Friday office lunch)
First Day Starting Kit
Yours to own:
- Money towards keyboard of your choice
- Headset
- Laptop Riser
- Mouse
Company owned take home set up:
- High-spec laptop
- 27" Screen
- 24" Screen
Insurance - fully paid on top of, not out of your salary
- Medical Aid
- Life Insurance
Learning
- Learning Budget - Books or Courses - you choose how to use it
Culture
- Employee-first culture that encourages work/life balance
- Everyone has a voice, regardless of title
- Psychological safety
- Annual company outings
Leave
- 22 days paid annual leave
- Paid Maternity, Paternity, Study & Moving leave
Long-Term Loyalty Benefits
- 2 years - monthly budget towards a cell phone contract OR petrol card
- 5 years - 3 additional days annual leave
- 7 years - A family weekend away
- 10 years - 3 month paid sabbatical

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