Details:
The ideal candidate would
- 3-5 years of professional experience handling and processing large datasets and feature engineering
- Possess excellent knowledge of at least one scripting language such as Python/R for rapid prototyping, data extraction & manipulation and predictive modelling
- Ability to scrape data from various sources including webpages and formposts
- Possess quantitative analysis skills & solid understanding of core statistical concepts including machine learning algorithms
- Have working knowledge of interactive web apps like Shiny/Ipython/Bokeh will be preferred
- Have strong structured and unstructured data analysis and problem-solving skills
- Actuaries/FRM/CFA/CQF/PRM certification would be a plus
- Excellent writing, oral communication and presentation skills
Key Responsibilities:
- Develop and implement new (maintain and use existing) statistical/machine learning models to identify performance and risk drivers on balance sheet and investment portfolio.
- Manage large loan level and borrower level data used for training and learning models
- Document the algorithms, methodology and findings in report and present the analysis to the internal and external stakeholders/platforms (model notes, white papers, working papers etc.)
- Build predictive and optimization solutions for various functions across organization
- Develop insights into customer/client behavior and engagement from the data
- Ability to search, extract, transform and load data from various databases, cleanse and refine data until it is fit-for-purpose
- Build up strategies and algorithms to deepen customer engagement and product relationship
- Develop interactive dashboards with differential access for different business functions using data visualization techniques
- Keep pace with latest developments in field of analytics & modelling globally and implement appropriate techniques to improve or redesign existing models/algorithms
To get to know you better, we will
- Like to speak with you for both of us to gauge compatibility
- Ask you to attempt few case studies pertaining to statistical nous, technical ability and present your assessment to the team
- Call you over to our office in Chennai/Mumbai to meet with the team
We assure you
- An opportunity to play a formative role in an ambitious financial services marketplace spanning investment banking, debt capital markets, institutional finance, retail lending and asset management
- Constant learning opportunities and various problem statements to attempt
- A journey that will challenge and reward you in a manner few others will
Minimum Qualification
- Graduate/Post Graduate from Tier I college
- Background in Statistics/Econometrics will be preferred
Min. Qualification:
ug
Skills Required:
algorithms, analytics, data extraction, data manipulation, data science, machine learning, predictive model, python, r, structured thinking, visualization