Business Analyst 'NLP'

Yapı Kredi Teknoloji; Fatih; Hybrid; TRY 50,000 - 70,000; Full time

Benefits offered by this job

Hybrid work model

Career development opportunities

Company-contributed retirement insurance

Birthday off day

Job summary

Yapı Kredi Teknoloji in Turkey is seeking an experienced professional to leverage AI and NLP technologies to enhance banking operations. You will work closely with engineers to prepare datasets and evaluate AI outputs while supporting business impact initiatives.

The ideal candidate should have a Bachelor’s degree in a related field and at least 2-3 years of experience. Strong teamwork skills and fluency in English are essential, and you will benefit from cooperative working models and various company perks.

Qualifications

• At least 2-3 years of professional experience in AI applications.
• Strong understanding of Large Language Models and prompt engineering.
• Excellent communication and negotiation skills.

Responsibilities

• Discover and define banking areas where AI and NLP can create business impact.
• Translate complex problems into AI/NLP requirements.
• Work closely with AI engineers on dataset preparation and model evaluation.

Skills

AI applications

Strong teamwork

Effective problem-solving

Fluent in English

Project management tools

Agile methodologies

Education

Bachelor’s Degree in Computer Engineering, Computer Science, or related field

Tools

Python

SQL

Jira

Confluence

Job description

Yapı Kredi Technology is a technology company that produces innovative, high quality, and high value-added products and solutions in the finance sector. With more than 2,000 employees, it aims to create products that will shape the sector for Yapı Kredi Bank and to be the undisputed leader in the field of technology by using modern architectural systems and cloud technologies. It also contributes to the development of new and exemplary products for the sector by using natural language processing, machine learning, artificial intelligence, and data mining technologies with its R&D team.

Who We Are

At Yapı Kredi Technology, we research with passion, wonder as we learn, and implement innovations that shape the future together. We take responsibility from the first day with our expert colleagues and work with all our strength for pioneering applications. We make quick decisions and take action. We quickly adapt to innovations and changes.

What Do We Offer

• Opportunity to work in hybrid model
• Opportunity to work in Koç Group Community Companies' offices
• Career development opportunities in a structured technology career path
• Opportunity to benefit from BizClub and KoçAilem privileges exclusive to Yapı Kredi Technology employees
• Company-contributed individual retirement insurance
• Birthday off day

Qualifications

• Bachelor’s Degree in Computer Engineering, Computer Science, Industrial Engineering, or a related field (M.Sc. or Ph.D. is a plus).
• At least 2-3 years of professional experience in AI applications or technology-driven business analysis.
• Strong understanding of Large Language Models (LLMs), prompt engineering, and agentic AI frameworks.
• Knowledge of NLP concepts such as NER, classification, OCR, embeddings, and semantic search.
• Solution-oriented with strong teamwork, collaboration, and effective problem-solving skills.
• Excellent communication and negotiation skills, with the ability to bridge the gap between technical teams and stakeholders.
• A strong willingness to embrace change and pursue continuous learning in a fast-paced R&D environment.
• Fluent in English (both written and verbal).
• Familiarity with project management tools (e.g., Jira, Confluence) and Agile methodologies.
• Basic understanding of software development life cycles (SDLC) and coding (hands‑on experience with Python or SQL is a plus).

Job Description

• Discover and define areas within banking where AI and NLP can create a measurable business impact.
• Translate complex business problems into clear AI/NLP requirements and technical evaluation criteria.
• Work closely with AI engineers on dataset preparation, annotation processes, and model evaluation.
• Actively participate in prompt design, testing, and the evaluation of LLM outputs.
• Establish and track KPIs for AI systems, including precision, recall, response quality, hallucination rates, and overall business ROI.
• Prepare detailed use case definitions, evaluation reports, and functional documentation for AI products.
• Create high-quality technical documentation, including white papers, end‑user guides, project proposals, and progress reports.

Our recruitment process for all positions typically encompasses technical interviews, director assessments, competency evaluations, and personality tests. We will extend our offer to candidates who have successfully completed a positive evaluation process.