Senior Engineer (Scala)

  • Location


  • Sector:

    Software Engineering

  • Job type:


  • Salary:

    Circa $150,000- $180,000

  • Contact email:


  • Job ref:


  • Startdate:


  • Consultant:

    Jason Rumney

Our client specialize in planning, implementing, managing, and staffing InformationTechnology Solutions and Services. Our goal is to help our clients define their investments in technology, optimize processes that bring fast-track success, and deliver business-critical applications to improve performance. 

The values that drive our success are:

• Strategy: We help our clients’ growth by achieving competitive advantage and creating value.

• Quality: We believe in ‘Quality First’ and ‘Quality Must’ in solutions we deliver.

• Support: We bring ideas and talent to empower business performance with new-age technologies.

Job Description

Technical Skills:

· Experience with Java/J2EE application development skills

· Experience with Spark

· Experience with Scala (ideally more than 1 year 

· Experience with Data Processing, model execution and/or data acquisition

· Experience in developing the logical data model (LDM) and assists the DBA in developing the physical data model (PDM).

· Experience with Zachman or RUP Framework

· Experience implementing a real time scoring model for one of our card use cases.

· Good Communication Skills

· Understanding of machine learning techniques. Natural language processing a plus but not necessary.

· Solid understanding of the Java ecosystem.

Additional Information

All your information will be kept co- MS in Finance, Financial Engineering, Analytics or Mathematics, Computer Science, Statistics, Industrial Engineering, Operations research, or related field. 

- Good understanding of Probability of Default (PD), LGD and EAD modeling technique.

- Very good understanding of Predictive modeling techniques and their application.

- Knowledge of Credit life cycle.

- Statistics and machine learning techniques.

- Conducted and applied statistical methodologies including linear regression, logistic regression, ANOVA/ANCOVA, CHAID/CART, cluster analysis

- Team player and collaboration skills.

- Programming skills in R, SAS, and PYTHON.

- Fluency with Excel, PowerPoint and Word 

- Strong written and oral presentation / communication skills – must have the ability to convey complex information simply and clearly confidential according to EEO guidelines.


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