Application Engineer- Data Scientist

Position Overview

Job Title: Application Engineer

Department: Services Delivery Team

Location: Bangalore

Reporting To: Regional Head of Service Delivery

The Application Engineer will play a pivotal role in configuring Tookitaki’s FinCense platform to meet client-specific requirements. This role requires a strong data science background,technical expertise in big data technologies, and exceptional problem-solving skills to ensure successful client deployments and ongoing system performance.

Position Purpose

The Application Engineer is responsible for customizing the FinCense platform to address client-specific compliance and operational needs. Collaborating with Deployment Engineers, Data Engineers, and Client Enablement teams, the Application Engineer ensures seamless implementation, configuration, and ongoing performance optimization. This role is critical to the successful deployment of Tookitaki’s platform across both on-premise and cloud-hosted (CaaS)environments. It requires a deep understanding of data science workflows, the ability to translate business needs into technical configurations, and an analytical mindset to solve complex client challenges.

Key Responsibilities

1. Product Configuration and Customization

• Configure Tookitaki’s FinCense platform based on client-specific requirements and workflows.
• Implement data science models, algorithms, and workflows tailored to client use cases.
• Collaborate with Client Enablement and Deployment Engineers to align configurations with best practices and ensure readiness for go-live.

2. Data Science and Analytics Support

• Assist in designing and optimizing data pipelines for real-time and batch processing.
• Configure and fine-tune algorithms for AML (Anti-Money Laundering) and fraud detection.
• Validate model performance and ensure alignment with compliance objectives.

3. Technical Expertise and Issue Resolution

• Collaborate with Data Engineers to integrate client data into the FinCense platform.
• Troubleshoot and resolve performance issues related to data ingestion, processing, and model execution.
• Leverage expertise in Big Data technologies (Hadoop, Spark, Hive, ElasticSearch) to optimize platform performance.

4. Collaboration and Cross-Functional Alignment

• Partner with the Client Enablement team to deliver training and documentation for end-users.
• Work closely with Product Management to provide feedback on product enhancements.
• Support Deployment Engineers in ensuring successful on-premise and cloud deployments.

5. Continuous Improvement and Documentation

• Maintain detailed documentation of configurations, workflows, and issue resolutions.
• Develop templates, FAQs, and troubleshooting guides to support the Services and Client Success teams.
• Identify and implement process improvements to enhance deployment efficiency and client satisfaction.

Qualifications and Skills

Education:

• Bachelor’s degree in Computer Science, Data Science, or related technical field.
• Preferred: Master’s degree in Data Science, Artificial Intelligence, or Big Data Analytics.

Experience:

• Minimum: 6 years of experience in configuring SaaS platforms or data-intensive systems.
• Proven track record in deploying or configuring platforms for banks, fintech, or regulated industries.

Technical Expertise:

• Strong knowledge of Big Data frameworks: Hadoop, Spark, Hive, ElasticSearch, and Kubernetes.
• Proficiency in programming languages: Python, SQL, and familiarity with data manipulation libraries.
• Experience in model deployment: Optimizing ML/AI workflows and data pipelines for large-scale systems.
• Understanding of cloud infrastructure: AWS (preferred), GCP, or Azure.

Soft Skills:

• Excellent communication skills to explain technical solutions to non-technical stakeholders.
• Strong problem-solving skills with an analytical mindset.
• Ability to collaborate effectively in cross-functional teams.

Preferred:

• Experience with AML or fraud detection platforms is a strong plus.
• Certifications in AWS, Kubernetes, or Big Data frameworks are advantageous.

Key Competencies

• Client-Centric Mindset: Ensures configurations align with client objectives.
• Technical Acumen: Strong grasp of Tookitaki’s tech stack and ability to adapt to new technologies.
• Problem-Solving: Proactively addresses challenges and identifies root causes.
• Collaboration: Works effectively with diverse teams to deliver seamless solutions.

Success Metrics

1. Configuration Accuracy:

• Achieve 100% accuracy in configurations within 4 weeks of go-live.

2. Platform Optimization:

• Reduce model execution latency by 20% through workflow optimizations.

3. Issue Resolution:

• Resolve 95% of configuration-related tickets within SLA timelines.

4. Client Enablement Support:

• Conduct at least 2 training sessions for client compliance teams per quarter.

5. Cross-Team Collaboration:

• Ensure 100% documentation and knowledge-sharing with Client Success and Product Management teams.

Benefits

• Competitive Salary: Aligned with industry standards and experience.
• Professional Development: Access to training in cloud computing and big data technologies.
• Comprehensive Benefits: Health insurance and flexible working options.
• Growth Opportunities: Career progression within Tookitaki’s rapidly growing Services Delivery team.

Introducing Tookitaki

Tookitaki: The Trust Layer for Financial Services

Tookitaki is transforming financial services by building a robust trust layer that focuses on pillars: preventing fraud to build consumer trust and combating money laundering to secure institutional trust. Our trust layer leverages collaborative intelligence and a federated AI approach, delivering powerful, AI-driven solutions for real-time fraud detection and AML (Anti-Money Laundering) compliance.

How We Build Trust: Our Unique Value Propositions

1. AFC Ecosystem – Community-Driven Financial Crime Protection

The Anti-Financial Crime (AFC) Ecosystem is a community-driven platform that continuously updates financial crime patterns with real-time intelligence from industry experts. This enables our clients to stay ahead of the latest money laundering and fraud tactics. Leading digital banks and payment platforms rely on Tookitaki to protect them against evolving financial crime threats. By joining this ecosystem, institutions benefit from the collective intelligence of top industry players, ensuring robust protection.

2. FinCense – End-to-End Compliance Platform

Our FinCense platform is a comprehensive compliance solution that covers all aspects of AML and fraud prevention—from name screening and customer due diligence (CDD) to transaction monitoring and fraud detection. This ensures financial institutions not only meet regulatory requirements but also mitigate risks of non-compliance, providing the peace of mind they need as they scale.

Industry Recognition and Global Impact

Tookitaki’s innovative approach has been recognized by some of the leading financial entities in

Asia. We have also earned accolades from key industry bodies such as FATF and received prestigious awards like the World Economic Forum Technology Pioneer, Forbes Asia 100 to Watch, and Chartis RiskTech100.

Serving some of the world’s most prominent banks and fintech companies, Tookitaki is continuously redefining the standards of financial crime detection and prevention, creating a safer and more trustworthy financial ecosystem for everyone.