Location: Bangalore
Experience: 5 - 7 Years
Type: Hybrid
Notice Period: Immediate to 30 Days
Educational Qualification: BA/BS in Computer Science, Math, Physics, or another technical field
We are seeking a Python Developer with expertise in the design and development of data and ML-centric applications at scale. The right candidate would have a background in data engineering and requisite familiarity and experience working with Machine learning (ML) algorithms and Frameworks.
As a Python/Perl Developer, you will be helping to create dynamic and innovative software solutions while learning the latest tools in development. You'll be part of an agile team that values collaboration, creativity, and problem-solving and interact with other squad members and external stakeholders, including business and technology partners (local and global) across the Wealth Management, infrastructure team, and architecture team to deliver the objectives. This position is for Credit Risk, and Regulatory Reporting enables Credit and Finance departments to closely monitor regulatory Climate and Credit Risk for wealth management lending products like Residential Mortgages, Securities-based lending, Options, FX Forwards etc. and report to regulators based on the Basel framework.
The role is a confluence of engineering (programming) and data analysis. Therefore, knowledge of Data Science is a plus. If you think you're the right fit, apply now and send in your resume.
Skills Required:
- An experienced professional with 5+ years of experience developing and implementing applications in Big data ecosystems, i.e., Hadoop, Spark, Kafka, HBase, Hive / Impala, or similar distributed computing technology and programming languages like Python / R, is a must.
- Experience with common data science toolkits, such as Panda, Numpy, Weka, MatLab, etc.
- Proficiency in data analysis using complex and optimized SQL and the technologies mentioned above. Proven experience working with Relational Databases
- An excellent understanding of supervised and unsupervised learning algorithms like linear and logistic regression, classification, decision trees etc., is required.
- Understanding of data structures, data modelling and software architecture
- Ability to work in a fast-paced and dynamic environment
- Exposure to JIRA or other ALM tools to create a productive, high-quality development environment
- Previous experience in working with global teams
- Proven experience in working within an Agile framework
- Strong problem-solving skills and the ability to produce high-quality work independently and work well in a team
- Excellent communication skills (written, interpersonal, presentation), with the ability to efficiently and effectively interact and negotiate with business stakeholders
- Ability and a strong desire to learn new languages, frameworks, tools and platforms quickly
Responsibilities:
- Understand business processes, a bigger picture and core ideas behind the developed software.
- Conduct data model, architecture, and integration design review sessions. Support business analysts and developers with data subject expertise, query building and optimization
- Educate and evangelize application teams on the best practices for query building and optimization, data modelling and design.
- Manage and develop a thorough understanding of the data definitions, domain values, data relationships, business rules, sources, and data integration for each subject area.
- Advocate and advance toward cutting-edge engineering technologies.
- Selecting features, building, and optimizing classifiers using machine learning techniques
- The ideal candidate must enhance data collection procedures to include information relevant to building analytic systems.
- Processing, cleansing, and verifying the integrity of data used for analysis.
- Doing ad-hoc analysis and presenting results in a transparent manner
- Run projects in an Agile way.
Desired Skills:
- Data Analytics in Finance / Credit Risk domain.
- Exposure to Regulatory Reporting and Credit Risk.
- Prior experience in Banking and Financial domain is an added advantage.
What We Offer:
- Career and competence support.
- Clearly defined career paths
- Personal Accident Policy
- Paid Maternity Leave and Paternity Leave
- Employee Assistance Program
- Gratuity
- Relocation Assistance
- Open Door Policy
- Disability Income Protection
- Equal Employment Opportunity