The Role
Manage the AI/ML and Data Science strategy, lead a team of data professionals, and implement scalable ML solutions ensuring compliance with data regulations.
Summary Generated by Built In
- Define
and execute Qore’s Data Science strategy aligned with
business goals, partner with Product, Engineering, and Technology, to
embed AI into Qore’s platform and APIs and ensure compliance with data
privacy, security, and regulatory standards.
- Build,
lead, and mentor a high-performing team of Data Scientists and ML
Engineers.
- Design
and deploy machine learning models and drive end-to-end ML lifecycle:
data exploration, feature engineering, modeling, deployment, and
monitoring.
- Establish
and scale MLOps practices (CI/CD for models, monitoring, retraining
pipelines).
- Manage and
mentor a team of AI/ML Engineers, Data Scientists, and MLOps Engineers and
translate
complex data insights into clear, actionable business recommendations.
- Define
architecture for feature stores, model training pipelines, real-time
inference, and monitoring and drive productionization of models from
research to low-latency APIs handling millions of requests per day.
- Establish CI/CD
for ML, data quality tests, model observability, and drift detection and ensure
explainability, auditability, and compliance with NDPR, CBN, PCI-DSS, and
model risk standards.
- Design a process
for real-time transaction scoring, account takeover detection, AML pattern
mining and cashflow-based scoring, BNPL limit engines, portfolio risk
forecasting, etc.
- Design LLM
agents for developer support, log triage, regulatory reporting, document extraction
and self-serve feature platform, semantic layer for fintech metrics,
synthetic data for testing, etc.
- Partner with
Product to scope AI features that are shippable, compliant, and ROI-positive
and work with Risk/Compliance to get models approved and documented per SR
11-7 standards.
- Collaborate with
Platform/Infrastructure on GPU inference, Kafka/Fluvio streaming, and cost
optimization.
Requirements
- BSc
in Computer Science, Computer Engineering, Mathematics, Statistics, or other
related STEM disciplines.
- 7+
years of experience in AI/ML and/or Data Science, with at least 2 years of
experience leading teams or projects.
- Strong
programming skills in Python (e.g., Scikit-learn, TensorFlow, PyTorch), with
experience working with large-scale data (SQL, Spark, data pipelines).
- Proven
experience deploying ML models into production environments with good
understanding of cloud platforms (AWS, Azure, or GCP).
- Excellent
stakeholder management and communication skills and strong understanding
of risk, fraud, or financial data use cases.
- Proven
track record shipping ML systems at scale: real-time fraud, credit, or
recommendation systems.
- Experience
in backend engineering: Python, SQL, distributed systems, REST/gRPC APIs
and hands-on with modern ML stack (e.g., PyTorch/TensorFlow,
XGBoost/LightGBM, dbt, Airflow, MLflow, Feast/Tecton, etc).
- Experience
with MLOps - Docker, Kubernetes, model serving with
Triton/vLLM/TorchServe, monitoring with Arize/Evidently, etc., and deep
understanding of data architecture: warehouses like BigQuery/Snowflake,
streaming with Kafka, lakehouse patterns
- Strong
grasp of ML fundamentals: imbalanced data, calibration, fairness,
offline/online metrics with experience in highly regulated environments: Fintech,
Banking, Payments, or Insurtech.
- Experience
with LLMs/RAG for structured data extraction, agent workflows, evals and knowledge
of Nigerian/African financial data nuances: BVN, NUBAN, NIBSS, credit
bureau data, etc.
- Prior
work experience on model risk management, regulatory audits and contributions
to open-source ML/data tools and projects.
Benefits
Qore provides the rare opportunity to make history in the financial space for Africa by Africans, while working with the smartest, brightest & coolest minds in Africa. Our people & culture team continuously thinks of innovative ways to improve employee experience and some of the other benefits of working with Qore includes;
- Very Competitive & Rewarding Pay
- Flexible work mode
- Paid Lunch for onsite work
- Lifelong Learnings
Skills Required
- BSc in Computer Science, Computer Engineering, Mathematics, Statistics, or related STEM disciplines
- 7+ years of experience in AI/ML and/or Data Science
- 2 years of experience leading teams or projects
- Strong programming skills in Python
- Experience deploying ML models in production environments
- Excellent stakeholder management and communication skills
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience in backend engineering: Python, SQL, distributed systems
- Experience with MLOps tools
- Prior work experience in regulated environments (Fintech, Banking, etc.)
- Knowledge of Nigerian/African financial data nuances
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The Company
What We Do
Appzone Group has evolved into Zone, a payment infrastructure company and Africa's leading FinTech disruptor. It provides home-grown software solutions for the financial services industry, focusing on blockchain-enabled payments and digital currencies.
