Quantitative Analyst (İstanbul- Ankara)

TRB 360; Çankaya; Hybrid; TRY 1,270,000 - 1,906,000; Full time

Job summary

A financial consultancy is seeking a Quantitative Analyst to enhance AI models through predictive analytics in a hybrid work environment. The role involves statistical modeling, collaboration with cross-functional teams, and transforming research into market strategies. Applicants should hold a relevant degree and possess significant quantitative experience.

Qualifications

• Minimum 2 years of experience in quantitative analysis, data science, or related analytical roles.
• Strong foundation in time-series analysis and financial data modeling.

Responsibilities

• Conduct in-depth statistical analysis and modeling on financial and operational datasets.
• Ensure model quality through assessments and transformations of insights.
• Collaborate with teams for seamless integration of AI models.

Skills

Statistical analysis

Quantitative modeling

Analytical reasoning

Problem-solving

Education

Bachelor’s or Master’s degree in relevant discipline

Tools

Python

R

C++

Big data technologies (e.g., Spark)

Job description

Quantitative Analyst

Location: İstanbul / Ankara

Work Model: Hybrid

About the Role

We are supporting one of our client companies in their search for a Quantitative Analyst. The selected candidate will play a key role in advancing the company’s AI models. Working with large-scale financial and operational datasets, you will design, test, and optimize predictive frameworks that strengthen forecasting, risk analytics, and quantitative strategies.

This role bridges research and execution, turning data-driven insights into actionable market strategies by applying innovative statistical and algorithmic methods.

Responsibilities

• Conduct in-depth statistical analysis and modeling on financial and operational datasets.
• Ensure model quality, theoretical soundness, and consistency through both qualitative and quantitative assessments.
• Transform academic and industry research into actionable insights.
• Develop new models, generate signals, and convert them into applicable strategies.
• Calibrate strategies across different products and adapt them to changing market conditions.
• Design and execute backtesting and scenario analyses to assess model behavior under historical market conditions.
• Collaborate with cross-functional teams to ensure seamless integration of AI models into defined objectives.

Required Qualifications

• Bachelor’s or Master’s degree in Financial Engineering, Data Science, Statistics, Mathematics, Economics, Computer Engineering, or a related discipline.
• Minimum 2 years of experience in quantitative analysis, data science, or related analytical roles.
• Proficiency in Python, R, or C++ for quantitative modeling and simulation.
• Strong foundation in time-series analysis and financial data modeling.
• Excellent analytical reasoning and problem-solving ability.

Preferred Qualifications

• Experience with machine learning or deep learning for financial data applications.
• Familiarity with big data and cloud environments (e.g., Spark, AWS, GCP).
• Experience with financial data APIs (Bloomberg, Refinitiv, yFinance, etc.).
• Relevant certifications such as CFA, FRM, or training in Quantitative Finance.

Soft Skills

• Ability to communicate complex quantitative and financial concepts clearly to non-technical stakeholders.
• Strong cross-team collaboration and coordination capabilities.
• Proactive, solution-oriented, and adaptable in fast-changing market environments.