Data Analyst/Scientist (Fraud Detection)

ERNI is a fast-growing Software Development company headquartered and founded in Switzerland in 1994, with more than 800 employees. We are highly specialized in IT & software engineering to enable and deliver innovation in process and technology. Our first service center in Asia Pacific is in Metro Manila (Mandaluyong) from where we provide our service to Europe, APAC incl. our local market Philippines, and USA regions. We are now geared towards expansion and are looking for highly motivated joiners.

WHY ERNI is the best place to call HOME?

• Opportunity to work with international clients and innovative projects.
• Collaborative and inclusive work environment.
• Continuous learning and professional development opportunities.
  
  

At ERNI, this is how we can support you; ALL company PERKS AND BENEFITS take effect UPON HIRING!

• Permanent Contract: there is always a project and opportunity for you.
• Private HMO and Insurance – effective on day 1 of employment.
• Jubilee in 5th year at ERNI (FREE TRAVEL TO ANY SITES IN EUROPE )
• Government-Mandated Benefits: inclusive of the 13th-month pay.
• Personal Development and Travel Opportunities outside the Philippines
• Birthday Cake
• Wedding Gift – to celebrate your special day.
• Baby Basket – to welcome your newborn to the ERNI family.
• Fruit Basket – boost of vitamins during hospitalization.
• Free Snacks and Coffee in the office.
  
  

UNLOCKING NEW DOORS OF GROWTH & OPPORTUNITIES

• Free Training with Certifications: grow with us thru technical and non-technical training.
• Challenging Projects: ERNI is dedicated to developing high-quality software in complex technical environments such as MedTech, Industry, Finance, and Transportation. Have the chance to participate in various technically challenging projects amongst passionate and skilled colleagues.
• Employee Welfare: You will be guided by a group of people who will guide and support you to have the right tools and mindset.
• Promotions & Recognition: from the very first day, we offer you a way to learn and develop yourself in our company. Your colleagues and superiors consistently recognize and appreciate all efforts, making you feel satisfied with your achievements.
• Communication: you will find transparency, honesty, and open communication in our working culture. we value suggestions, opinions, and feedback from all employees.
  
  

Events

• We provide many opportunities to connect and build relationships. We are learning, growing, and celebrating achievements together. You will experience a wide range of different exciting activities. What to expect? Leisure Events, Summer Events, Family Events, Social Events, and Year-End Events.
  
  

What are our wishes?:

• A bachelor’s degree in computer engineering, electrical engineering, computer/data science, mathematics, statistics, accounting, or finance, with a master’s degree is preferred.
• Experience in developing artificial intelligence and machine learning with emphasis on Fraud Models.
• Familiarity with data management tools.
• Excellent analytical, technical, and problem-solving skills, along with extensive experience in data wrangling and data cleansing.
• The ability to communicate complex data in a simple and actionable manner.
• Writing computer programs to analyze data, using languages like SQL, Java, Python, and R.
• Can understand and can interpret finance and internal audit.
• Proficiency in tools like SQL, Python, R scripts, Microsoft Data Warehouse and Databases (on-prem and Azure), Data Factory.
• Ability to analyze complex data and draw insightful conclusions and propose recommendations or amendments of the tool.
• A keen eye for detail to spot discrepancies and unusual trends, combined with a natural curiosity.
• Strong written and verbal communication skills for documentation and presentation.
• Ability to interact effectively with various stakeholders.
• At least 5-10 Years in Forensic Audit as a Senior Fraud Analyst or Fraud and Noncompliance Investigation Lead using anomaly detection tool preferred
• Relevant Certification such as Certified Fraud Examiner (CFE), Certified Public Accountant (CPA) or Certified Information System Auditor (CISA) preferred
  
  

Preferred Qualifications

Databricks Certifications (Databricks Fundamentals , Azure Platform Architect).

Knowledge of additional programming languages (e.g., Python, T-SQL).

Experience with version control systems (e.g., Git) and CI/CD pipelines.

• Writing computer programs to analyze data, using languages like SQL, Java, Python, and R.
• Can understand and can interpret finance and internal audit.
• Proficiency in tools like SQL, Python, R scripts, Microsoft Data Warehouse and Databases (on-prem and Azure), Data Factory.
  
  
  
  

How can you contribute to the team?

• Work actively with various business stakeholders to understand departmental needs and use data to solve these needs.
• Perform data investigation and analysis.
• Design data modeling processes, predictive models, and create algorithms using data science techniques, including machine learning, statistical modeling, and artificial intelligence.
• Present results to stakeholders and adjust based on feedback.
• Implement and adhere to the client’s Responsible AI Framework throughout their work.
• Collect and analyze data to derive business insights.
• Transform data into suitable formats for analysis.
• Create new, enterprise frameworks to collect data.
• Build tools for automating data collection.
• Search through large datasets to extract valuable information.
• Generate reports and presentations for business use.
• Correlate similar data to identify actionable insights.
• Analyze large datasets to identify unusual patterns, trends, and anomalies that may indicate fraudulent activities.
• Amend and implement predictive models to forecast fraud risks and trends.
• Work with Data and Analytics Team and other departments to enhance fraud detection tool.
• Lead and drive weekly cadence meeting on progress of fine-tuning, amendment of existing detection tool or development of new data.
• Educate and train Data and Analytics Team on fraud detection strategies and best practices.
  
  

We deliberately focus on what we know best.

• 18 Locations in 8 Countries
• 800+ Employees across the Globe
• ISO Certified