Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 34 hours ago

Fraud & Forensics MLOps Engineer

Ovations Technologies25 open roles

Where
Johannesburg, South Africa
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowFraud & Forensics MLOps EngineerOvations Technologies · Johannesburg, South Africa

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Ovations Technologies's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 34 hours ago

The posting

JOB OPPORTUNITY: SENIOR FRAUD & FORENSICS MLOPS ENGINEER

Location: Johannesburg / Hybrid-3 days in the office

Contract: 6 months independent contract

Industry: Telecommunications / Fintech / Financial Services

We are looking for an experienced Senior Fraud & Forensics MLOps Engineer to join a leading organisation and support the development, deployment and lifecycle management of fraud detection and financial crime analytics models across multiple markets.

This is a hands-on technical role focused on taking fraud models from experimentation through to secure, scalable and monitored production environments.

Key Responsibilities

  • Build, deploy and support MLOps solutions for fraud detection and financial crime analytics.
  • Develop and maintain CI/CD pipelines for model training, testing, deployment and release management.
  • Automate model retraining, versioning, deployment, rollback and environment promotion.
  • Containerise and deploy models using Docker, Kubernetes or equivalent technologies.
  • Implement model monitoring covering performance, data/feature drift, latency, errors and operational health.
  • Support model registries, feature stores and experiment tracking.
  • Troubleshoot model pipeline failures, deployment issues and production defects.
  • Develop reusable deployment templates, automation scripts and monitoring components.
  • Support fraud models used for transaction monitoring, anomaly detection, risk scoring and suspicious activity detection.
  • Ensure model deployments meet security, governance, audit and compliance requirements.
  • Work closely with Fraud & Forensics, Data Science, Data Engineering, Technology, Risk, Compliance and Information Security teams.
  • Provide post-deployment support, technical documentation and knowledge transfer.

Requirements

  • Bachelor's degree in Computer Science, Data Analytics, Statistics, Engineering, Information Systems, Finance, Risk Management, Forensics or a related field.
  • 5–7+ years' experience in fraud analytics, financial crime analytics, fraud detection, transaction monitoring, digital risk, fintech, banking, payments or mobile money.
  • Experience with fraud detection models, risk scoring, anomaly detection or transaction monitoring.
  • Strong understanding of fraud typologies, risk indicators, false positives, missed detections and model performance.
  • Experience working with Data Science, Technology and Data teams to operationalise analytics models.
  • Strong understanding of MLOps, CI/CD, model deployment and production support.
  • Experience with technologies such as:
  • Python
  • Git / GitHub
  • Azure DevOps / GitHub Actions / Jenkins
  • Docker
  • Kubernetes
  • MLflow / Kubeflow or similar
  • Cloud-based ML environments
  • SQL and data analytics tools
  • Experience in banking, fintech, telecommunications, digital financial services, payments or mobile money will be advantageous.

Advantageous Certifications

CFE, ACAMS, ICA, FRM, Data Science, Analytics, Model Governance or related certifications.

Ideal Candidate

We are looking for someone who is analytical, investigative, technically hands-on and fraud-risk aware, with the ability to work across Fraud, Data Science and Technology teams to turn fraud model requirements into working, monitored and production-ready solutions.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Ovations Technologies's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Ovations Technologies's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Ovations Technologies's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.