Lead Data Scientist (ML operations - 5 to 7 years)

The Spec Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.

TTS Analytics C11

What do we do?

• The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience
• The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and AI/ML techniques to drive data driven business outcomes in collaboration with business and product partners.
• Ability to work in Big data environment, able to do data manipulation easily
• Hands on with ML/DL model training, testing & deployment in big data environment
• Good hands on in Python/R , SQL
• Basic understanding of stat
• Pyspark
• exposure in CICD deployment

ROLE DESCRIPTION

• The role will be Spec Analytics Intmd Analyst (C11) in the TTS Analytics tea
• The role will report to the AVP leading the team
• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
• Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
• The role will involve working on multiple analyses through the year on business problems across the client life cycle – acquisition, engagement, client experience and retention – for the TTS business
• This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts, etc.) to provide data driven insights to business partners and functional stakeholders
• This role will be a key contributor to ideation on analytical projects to tackle strategic business priorities
• The role will require endless curiosity, as ambiguity and open-ended questions are a core part of the team’s work

QUALIFICATIONS

Experience:

• Bachelor’s Degree with 6-8 years of experience in data analytics, or Masters Degree with 5-8 years of experience in data analytics, or a PhD in a relevant subject.

Must have substantial experience in:

• Identifying and resolving business problems (around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention) preferably in the financial services industry
• Utilizing text data to derive business value by leveraging different NLP techniques (mid to expert level prior experience is a must)
• Leveraging and developing analytical tools and methods to identify patterns, trends and outliers in data
• Applying Predictive Modeling techniques for a wide range of business problems
• Working with data from different sources, with different complexities, both structured and unstructured

Good to have:

• Experience working with data from different sources and of different complexity
• Prior working experience in Customer experience domain (Analysis involving deep dive into CSAT, NPS, Survey feedbacks etc.)

Skills:

Analytical Skills:

• Strong logical reasoning and problem solving ability
• Proficient in converting business problems into analytical tasks, and analytical findings into business insights
• Proficient in formulating analytical methodology, identifying trends and patterns with data
• Has the ability to work hands-on to retrieve and manipulate data from big data environments

Tools and Platforms:

• Expert knowledge in Python, SQL PySpark and related tools
• Proficient in MS Excel, PowerPoint

Good to have:

• Experience with Tableau

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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