Northern Arc Capital - AVP - Risk Analytics & Modelling - Data Scientist

JOB OBJECTIVE:

- As a member of analytics team that measures and manages portfolio of debt and structured finance investments, to be responsible for designing, building, and executing different analytical models directly impacting key business decisions.

- Build different types of ML scorecards across asset classes in retail portfolio through application of data science principles

KEY ACCOUNTABILITIES:

Description

- Design and develop scoring/forecasting/response models and build frameworks using classification/regression techniques across various functions of business.

- Analyze and extract relevant information from large amounts of both structured and unstructured data to help generate insights for organization success.

- Develop scalable and efficient framework for large scale data analyses, model development, model validation and model implementation.

- Manage, analyze, and report key performance metrics through manual and automated data collection methods.

- Design, develop and maintain scalable and reliable analytical tools, dashboards and metrices that drive key business decisions.

- Contribute to several on-going risk analytics and modelling processes and new initiatives.

5. SPECIFICATIONS: QUALIFICATIONS, EXPERIENCE, & COMPETENCIES:

Minimum experience:

- 3-5 years of working in analytics function of an organization as data scientist

- Experience in finance domain will be preferred

Minimum qualification:

- Masters/ Bachelor's Degree in Statistics/ Mathematics/ Engineering

Skills required:

- Mandatory technical skills - R/Python, visualization packages in R/Python and MS Excel

- Hands on experience in supervised machine learning techniques and algorithms, such as GLM, Linear regression, k-NN, Naive Bayes, SVM, Random Forests etc. is a must

- Hands on experience in un-supervised techniques and algorithms, such as various clustering algorithms, dimensionality reduction techniques are a must.

- Experience in feature engineering and feature selection techniques is a must.

- Experience in SQL language will be an advantage.

- Experience in visualization tools like Tableau and Power BI will be an advantage.

- Experience in developing credit or collection scorecards will be preferred.

- Excellent communication and presentation skills

- Ability to work under pressure, to handle multiple tasks simultaneously, and meet deadlines.-