01 Aug
|
Important Company of the Sector
|
Bengaluru
01 Aug
Important Company of the Sector
Bengaluru
Data Scientist - Financial Modeling & AWS
- Location: India (Gurgaon) / Bangalore - Two days per month WFO
- Employment
Type: 6 month Contract
- Budget: INR 250k per month
- Primary
Focus :Financial forecasting & risk modelling;
AWS -based model development
- Immediate
Joiners only
- Yrs. of Exp: 6 +
- Location - Permanent Remote with Mandatory 2 Days in a month from Gurgaon / Bengaluru office
Role Summary
We are seeking a hands -on Data Scientist
with expertise in financial modelling and AWS -based solutions. You will design,
develop, and deploy advanced statistical and machine learning models that turn
complex financial data into actionable insights and scalable, production -ready
solutions.
Key Responsibilities
- · Build predictive and
prescriptive models for financial forecasting, risk analysis, and decision
optimization.
- · Apply statistical and machine
learning techniques to improve business outcomes and model performance.
- · Perform data wrangling,
cleansing, and feature engineering on large structured and unstructured
datasets.
- · Develop and maintain robust ETL
pipelines for financial data; ensure reproducibility and data lineage.
- · Use AWS services (e.g.,
SageMaker, Glue, Redshift,
Lambda) for model development, training, and
deployment.
- · Design solutions that are
secure, scalable, and cost -efficient on AWS.
- · Partner with cross -functional
stakeholders to align modeling approaches with business objectives.
- · Present insights, model
outcomes, and recommendations to technical and non -technical audiences clearly.
Required Skills & Qualifications
- · Strong programming skills in
Python, PySpark, and SQL.
- · Hands -on experience with AWS
services for data science workflows (e.g., SageMaker, Glue, Redshift, Lambda).
- · Solid understanding of
financial principles and quantitative analysis.
- · Proven ability to deliver
end -to -end data science projects in production environments.
- · Solid problem -solving skills
and ability to translate ambiguous requirements into measurable outcomes.
Preferred Qualifications
technologies (Hadoop, Spark).
/ BI tools (e.g., Tableau, Power BI).
monitoring in production environments.