
Risk Analyst
- Manila City, Metro Manila
- Permanent
- Full-time
- Enhance and contribute strategies, tools, and methodologies to measure, monitor, and report risks in the financial services sector.
- Build predictive models around risk industry, sub-sector, and geo-location leveraging data.
- Develop and deliver complete web applications using Python, Django, Javascript, HTML5, CSS3, and RESTful APIs.
- Interpret evidence from multiple tools and systems to determine the legitimacy of customer behavior.
- Undertake capital forecasting and stress testing exercises to assess impacts on impairment forecasts and risk appetite metrics.
- Write robust code in Python, Java, and R.
- Monitor the risk control environment to ensure exposures are kept at acceptable levels and consult on risk mitigation plans.
- Perform deep dive analysis on portfolios to uncover risk trends.
- Assist in designing and developing data ingestion and processing code using Python or PySpark.
- Must have 2-10 years of experience in risk analysis, data modeling, or a related field.
- Proficiency in Scala, Apache Spark, Amazon EMR, Amazon Kinesis, AWS, and Python is required.
- Experience in Java or Python programming languages is essential.
- Strong skills in scripting with Python, shell, C#, or Java, and containerization using Docker and Kubernetes.
- Familiarity with Linux/Unix administration and UI automation tools including Selenium and Appium.
- Knowledge of back-end programming with languages like Java, Python, or Scala.
- Excellent coding skills in Python, R, and Spark interfaces like PySpark and Sparklyr.
- Experience with statistical packages and tools such as TensorFlow, Keras, SciPy, or OpenCV.
- Familiarity with SQL, database management, and application support.
- Ability to work with different statistical techniques such as regression, boosting, and decision trees.
- Strong experience in data profiling, data engineering, data visualization, and data handling using Python and SQL.
- Hands-on experience with Linux shell scripting, CSS, and JS.
- Independence to execute business projects based on innovative ideas.
- Exposure to different business functions within the fintech industry.
- Experience in developing unit tests and automation frameworks.
- Proficiency in at least one web development language, primarily Python or JavaScript.
- Strong knowledge of programming languages like Java, Ruby, and Python.