Offer summary

Qualifications:

Master's or Ph.D. in a quantitative field such as statistics, economics, finance, or mathematics., Experience in sanctions, fraud, or AML modeling within banking., Proficiency in Python and SQL, with experience handling big data and automation., Strong analytical skills and ability to document and report model tuning activities..

Key responsibilities:

Perform model tuning and optimization activities in banking contexts.

Develop and compare classification models like logistic regression and machine learning algorithms.

Document model tuning processes and communicate results to management and regulators.

Collaborate with interdisciplinary teams and present findings effectively.

Job description

Description

We are seeking Data Analyst with Banking Experience

Qualifications:

Experience in Sanctions, Fraud, or AML modeling.
Strong understanding of tuning methodologies and tools.
Good knowledge of banking products, processes, and systems.
Ability to document model tuning, track, and report results of tuning and optimization activities to senior management and regulators.
Master's or Ph.D. in statistics, economics, finance, mathematics, or a related quantitative field.
Proficiency in developing common classification models, such as logistic regressions, multinomial logit models, and tree-based machine learning (e.g., Xgboost, LightGBM, Random Forest), and comparing model performance.
Expertise in Python and SQL, with the ability to work with big data and automation. Capable of developing professional Python code for data analysis, feature engineering, and statistical modeling.
Strong analytical skills, with the ability to perform quantitative analysis to identify and resolve common data and modeling issues. Knowledge of statistical and data science concepts, and the ability to develop models and analyze their performance.
Familiarity with version control systems (e.g., GitHub).
Ability to work under conditions with changing priorities and multi-task effectively.
Ability to document and present findings for interdisciplinary teams.
Excellent verbal and written communication skills.

Why Matrix

Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13000 employees worldwide. Since its foundation in 2001, Matrix has made more travelers and acquisitions and has executed some of the largest, most significant. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and Ves as representatives for the world's leading software vendors. With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Secu city, Matrix's customer base includes guest organizations in Israel and a steadily growing client base worldwide.

We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employee's contributions are integral to our company's future.

Matrix- success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and ceding together. Come and join the winning team! You'll be challenged and have fun in a highly respected organization. To Learn More, Visit Matrix -ifs. Com,

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