Data Scientist - KPO

Data Scientist

Leading projects involving generation of data-driven predictions and insights by designing, implementing and testing data science based solutions.

Key responsibilities include :

- Lead and mentor team of data scientists and data engineers to build data pipelines from various data sources, perform EDA, identify trends, patterns, outlier treatment, feature selection, perform machine learning model iterations, hyper parameter tuning, model performance and validations, generate predictions and insights with a strong understanding of the underlying mathematics and domain knowledge. Be able to explain predictions of models and build explainable models

- Lead hands-on development, validation, documentation, execution and measurement of mission-critical statistical and ML models, leveraging state-of-the-art quantitative and computational techniques

- Translate business needs into advanced data science projects and prioritize outcomes based on expected tactical and strategic business impact to achieve goals

- In collaboration with business stakeholders, ML engineers and solution architects, build, test and deploy predictive models for execution

- Collaboratively develop prototype solutions to demonstrate ideas and prove concepts

- Perform model validation and documentation of new models to ensure compliance with model governance policies, guidelines and OCC requirements

- Be proactive and independent and be able to deliver projects with minimum inputs from business stakeholders

- Ensure effective and continuous communication (written and verbally) with global stakeholders

We are Looking for Candidates with :

- Experience in building and testing statistical/ML models covering supervised and unsupervised algorithms

- Experience in leading development teams of data engineers and scientists on data science and quantitative modelling, trading strategist (desk strats), quantitative research development projects

- Strong programming (Python, SQL) and experience in writing production-ready code - Python PEP8, write clear comments (Python docstrings), modularize code, use GitHub for version control etc.

- Strong OOP (Object Oriented Programming) concepts, and strong experience of good modular design in Python

- Strong pre-processing, mathematics, machine learning, statistical inferential analytics, EDA and feature engineering experience

- Experience in working with acquiring financial data sources (Factset, Bloomberg, Reuters, Dealogic) is desired

- Strong knowledge and understanding of the capital markets business (products, valuations, metrics)

- Strong communicator (verbally and written). Independently manage daily client communication, especially over calls