Specialist/Expert - Machine Learning + Modeling - Bank

The team supports clients from specific advanced analytics use cases to full, end-to-end data and analytics transformations. Your work will be focused on improving the performance of financial institutions with a combination of advanced analytics, tool-development capabilities, and process/ change management expertise. You will work at the intersection of data science and traditional business knowledge working together as a thought partner to senior consultants in taking Advanced analytics capabilities to both existing and potential clients

1. You will be part of our consulting engagements focusing on Advanced Analytics. In these engagements, you will help identify potential analytics opportunities relevant to business context and priorities, to drive analytical roadmap at the client and building of new, bespoke advanced analytical models and solutions

2. You would leverage advanced analytics to deliver breakthrough products, experiences and business transformations. In this process, you will play a key role in shaping big data and advanced analytics mindset and capabilities at the client as well as.

3. You will demonstrate a depth of knowledge in advanced analytics, lead creation of ML models and tools, and then translate complex data/outputs into easily digestible action items within a business context, external and internal audiences.

4. You will work closely with other data scientists, data engineers, product developers and other analytics-focused consultants to build solutions.

5. Support, review and conduct complex analytics processes and data integration on clients- internal and external data

6. In addition, you- d also be expected to mentor other colleagues on Advanced analytics topics, enabling them to grow and learn

Your Background :

1. At least a bachelor's degree in Comp Science, Statistics, Mathematics, Ops Research, Statistics or other related fields. MBA/PG is preferred.

2. At least 6 years of overall experience in applying advanced analytics to solve business problems

3. Strong problem-solving skills with the ability to disaggregate issues, identify root causes and link analytics to derive solutions

4. Experience in machine learning techniques i.e. Regression, Decision Trees, Random Forest, Deep Learning

5. Expertise with at least one of Data Science programming language: Python, R, MATLAB, and SAS.

6. Good to understand at least one of data architecture and database systems used in a large organization: MS SQL; Teradata SQL, SAP HANA, AWS, GCP

7. Excellent communication and presentation skills, able to clearly and effectively communicate complex analytical and technical content

8. Strong critical thinking and ability to influence

9. Willing to travel and work across client locations

10. Proven leaders with the ability to inspire others, build strong relationships and create true followership, result-driven achievers

11. Willing to work in a highly demanding and result-oriented team environment

12. Collaborative team players, capable of working well with others but also autonomously with little direction

13. Comfort with ambiguous and unstructured situations and fast changing situations, entrepreneurial

14. Experience in leading complex engagements to deploy advanced analytics at scale in real world organizations