شرح موقعیت
We are looking for an analytical, detail-oriented, and problem-solving professional to support data analysis and development within Blu Finance. The ideal candidate will be able to transform raw data into actionable insights, analytical dashboards, and quantitative models, while playing an effective role in product and business decision-making.
مسئولیتها
- Design, develop, and maintain analytical and management dashboards to monitor product, business, operations, sales, credit, and user behavior performance
- Define and standardize product and business KPIs and metrics in collaboration with Product, Business, Finance, Risk, and Tech teams
- Analyze data, identify patterns and trends, and provide actionable insights to identify growth opportunities, improve user experience, and mitigate risks
- Extract, clean, combine, and prepare required data for analysis and modeling
- Develop and evaluate quantitative models, including Scoring, Segmentation, Forecasting, Risk/Limit, and customer behavior prediction models
- Validate and backtest models, and monitor their accuracy, stability, and drift
- Perform data quality checks, identify discrepancies, and collaborate with technical teams to resolve data-related issues
- Present analytical and modeling results to business teams and translate data-driven findings into actionable recommendations
- Document analyses, dashboards, and developed models while following version control and change management practices
نیازمندیها
- 3–5 years of relevant experience in Data Analytics, BI, Quantitative Analysis, Data Science, or related fields
- Bachelor’s degree or higher in Statistics, Mathematics, Data Science, Industrial Engineering, Computer Science, Economics, Finance, or a related field
- Strong proficiency in SQL, with the ability to work with large datasets and optimize queries
- Strong proficiency in Python for data analysis, data processing, and modeling
- Experience with Statistics and Quantitative Modeling
- Experience designing and developing dashboards using tools such as Power BI, Tableau, or Metabase
- Familiarity with Data Modeling, Data Warehousing, and ETL/ELT concepts
- Familiarity with Credit, Risk, and Scoring concepts
- Experience in Model Validation and Backtesting, with an understanding of concepts such as Model Drift and Model Performance
- Ability to translate data and model outputs into clear, actionable insights for business teams
- Strong attention to detail and the ability to identify data discrepancies and quality issues
- Strong analytical and problem-solving skills, sound professional judgment, and data-driven decision-making
- Business-oriented mindset and the ability to collaborate effectively with Product, Business, Finance, Risk, and Tech teams
- Experience in Fintech, Financial Services, Credit, or Risk
- Experience developing credit models, customer behavior prediction models, or limit-setting models
- Experience working with financial and transactional data
- Familiarity with Data Quality and Data Governance processes
مزایا
- Flexible working hours
- Training programs and professional development opportunities
- Supplementary health insurance
- Team activity budget
- Performance bonus
- Employee loan
- Lunch allowance