Data Analyst with Banking Experience

Matrix USA; United States; On-site; USD 80,000 - 100,000; Full time

Job summary

A leading technical consultancy is seeking a Data Analyst with banking experience to join their team in the United States. The role requires proficiency in Python and SQL, strong analytical skills, and the ability to document findings effectively. Competitive compensation and benefits are offered, making this a great opportunity for those looking to advance their career in a dynamic environment.

Qualifications

• Experience in Sanctions or Fraud, or AML modeling.
• Good knowledge of banking products, processes, and systems.
• Strong understanding of tuning methodologies and tools.

Responsibilities

• Develop professional Python code for data analysis and statistical modeling.
• Document model tuning and report results to management and regulators.
• Perform quantitative analysis to resolve common data issues.

Skills

Proficiency in Python

Proficiency in SQL

Strong analytical skills

Excellent verbal and written communication skills

Education

Master's or Ph.D. in statistics, economics, finance, mathematics, or a related quantitative field

Job description

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About the Company

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 Security, 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's 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 succeeding 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.

About the Role

We are seeking Data Analyst with Banking Experience.

Responsibilities

• Experience in Sanctions or 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.
• 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.

Qualifications

• Master's or Ph.D. in statistics, economics, finance, mathematics, or a related quantitative field.

Required Skills

• Proficiency in Python and SQL.
• Strong analytical skills.
• Ability to document and present findings.

Preferred Skills

• Experience with big data and automation.
• Familiarity with version control systems (e.g., GitHub).

Pay range and compensation package

Competitive compensation and benefits.

Equal Opportunity Statement

Matrix is committed to diversity and inclusivity in the workplace.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Software Development, IT System Custom Software Development, and Financial Services

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