Application Engineer (Data Scientist)

Michael Page; Taguig; On-site; USD 40,000 - 80,000; Full time

Job summary

Join a forward-thinking technology company that is transforming compliance processes in regulated industries like banking and fintech. In this role, you will configure platforms to meet client-specific needs, implement data science models for AML and fraud detection, and optimize data pipelines for efficiency. You will work with cross-functional teams to ensure smooth adoption of innovative solutions. This is an exciting opportunity to grow your career in a dynamic environment that values creativity and excellence in technology.

Benefits

Competitive Salary

Professional Development Opportunities

Comprehensive Health Coverage

Flexible Work Arrangements

Career Growth Prospects

Qualifications

• 5+ years of experience with data-intensive systems.
• Proven expertise in deploying platforms for regulated industries.

Responsibilities

• Configure and customize platforms for client workflows.
• Implement and optimize data science models for AML and fraud detection.
• Collaborate with teams to deliver seamless solutions.

Skills

Big Data frameworks (Hadoop, Spark, Hive, ElasticSearch)

Python

SQL

Cloud platforms (AWS preferred)

Kubernetes

AML and fraud detection knowledge

Problem-solving abilities

Effective communication

Education

Bachelor's degree in Computer Science, Data Science, IT

Master's degree (preferred)

Job description

• Grow with the company by applying your expertise to perform challenging projects
• Be part of a team that values growth, creativity, and excellence in technology.

About Our Client

Our client is a forward-thinking technology company that provides innovative solutions to regulated industries such as banking and fintech. They focus on leveraging AI and Big Data technologies to transform compliance processes, delivering enhanced efficiency and accuracy to their clients.

Job Description

Configure and customize the platform to align with client-specific workflows and compliance needs.

Implement and fine-tune data science models, algorithms, and workflows for AML and fraud detection.

Design and optimize data pipelines for real-time and batch processing.

Troubleshoot performance issues related to data ingestion, processing, and platform execution.

Collaborate with cross-functional teams, including Client Enablement, Deployment Engineers, and Product Management, to deliver seamless solutions.

Develop detailed documentation, FAQs, and troubleshooting guides to support client success and deployment efficiency.

Provide training and ongoing support to end-users, ensuring smooth adoption of the platform.

The Successful Applicant

Educational Background:

• Bachelor's degree in Computer Science, Data Science, IT or a related field (Master's preferred).

Experience:

• 5+ years data-intensive systems.
• Proven expertise in deploying platforms for banks, fintech, or other regulated industries.

Technical Skills:

• Proficiency in Big Data frameworks like Hadoop, Spark, Hive, and ElasticSearch.
• Hands-on experience with programming languages such as Python and SQL.
• Knowledge of cloud platforms (AWS preferred) and Kubernetes.
• Familiarity with model deployment and optimization for ML/AI workflows.

Soft Skills:

• Strong problem-solving abilities and analytical mindset.
• Effective communicator capable of translating technical solutions for non-technical stakeholders.
• A team player who thrives in cross-functional environments.

Preferred:

• Experience with AML or fraud detection platforms.
• Certifications in AWS, Kubernetes, or Big Data technologies.

What's on Offer

• Competitive Salary: Aligned with industry standards and experience.
• Professional Development: Opportunities for training in Big Data and cloud technologies.
• Comprehensive Benefits: Inclusive health coverage and flexible work arrangements.
• Career Growth: Advancement prospects within a fast-expanding Services and Client Success team.