Roles and Responsibilities

Data ScientistArtificial Intelligence Be skilled in Genesys PureCloud and work with configuration and maintain the solution. Set up the scripts. Requirement Pure Cloud certification. Work in JIRA and Confluence.

Industry: IT Services & Consulting
Functional Area: EngineeringSoftware
Role Category: Software Development
Role: Software DevelopmentOther
Employment Type: Full Time, Temporary/Contractual

Keyskills

Company Profile

CBSI INDIA is focused on enterprise applications, mobile applications and cloud enablement. We work as a technology partner to transform business and deliver measurable results. Our professional services team deploys technology professional to our client projects and fulfill their project staffing needs on long term engagements. CBSI INDIA is dedicated to provide its customers with the best possible service.

CBSI INDIA has deployed several thousand top notch technical professionals to many fortune 500 companies in India. We are recognized as one of the primary global partners / core software service partner by our clients.

• Do Analysis on production data logs, incident.
• Develop Analytical outcomes that would benefit the production in early detection of incidents.
• Develop Machine Learning models to improve virtual assistant
• Develop Machine Learning models for anomaly detection.

Strategy

• The global banking industry is undergoing a seismic digital transformation as client expectations have become increasingly sophisticated and time sensitive.
• At the heart of these is the desire for an improved client experience without delays – be that new features delivered faster to market or faster responses to functional queries. Standard Chartered Bank is creating and redefining the digital agenda from innovations.
• Living by the Bank’s ‘never settle’ valued behaviour and fostering a mindset of innovation, we are constantly experimenting new approaches to serve our clients better with a superlative experience.
• Our future and aspirations look stronger than where we are today as we embrace and accelerate our path to a digital first and data driven future.
• Keeping ‘Clients first’, we want to make sure that we continue to be the international network of choice.
• We continue to strive to be tech-first, digitally savvy company and differentiate in our core footprint markets and to offer digital services that are far superior to anything else.
• We have a more open architecture approach that allow us more seamless technology integration with third party services while unleashing integrated capabilities that will be more challenging for our competitors to replicate.
• Our Data Science and Innovation team are an area of strength for us as we leverage machine learning, artificial intelligence and quantum computing to drive unique and powerful business insights.
• There is a strong focus on digital platforms such as Cloud to improve flexibility and ease of use in infrastructure, platforms and applications, real-time transactions, or plug-and-play services from multiple partners for a seamless client experience. As clients move to digital channels, the volume growth in transactions across mobile and API channels grows exponentially.
• This requires availability of services 24/7 and drives our need to have Artificial Intelligence for IT Operations (AIOps). Aggregating data, co-relating events and prompting automated decision trees for automated and manual action is at the center of our AIOps Strategy. AIOps drives seamless recovery of services by triggering real-time triage and /or automated recovery of services.
• Availability of services 24/7 will increase client affinity and this AIOps platform will support our competitive advantage by making services “Always On”.
• The approach to AIOps with Functional Distributed Tracing (FDT) of business transactions across various systems built on disparate technologies for multiple E2E Customer Journeys is the key differentiator for us in the industry as this innovative capability is not commercially available in the technology marketplace.
• The overarching principle of the AIOps strategy has been to anticipate and predict problems and provide adequate decision support to trigger events that in turn trigger action. The key performance indicators are reduction in client impacting incidents and this has been seeing a constant downward trend ( 20%) and we tend to anticipate problems significantly better ( 40%) than where we were 6 months ago.

Business

• In order to meet client’s expectations towards instantaneous interaction with our services and to have information “right now”, banking services are getting digitized significantly and rapidly.
• This expectation of clients galvanizes the need for internal transparency and traceability of every client transaction end to end (E2E) throughout its journey.
• Transactions in the E2E client journey typically change states and traverse across multiple systems built with disparate technologies.
• This poses an extremely complex challenge, addressing which drives internal digitization requiring information to be synthesized, and anomalies set to context while delivering insights at scale across services, products, clients and geographies. Skynet is built to solve this challenge and initiate our artificial intelligence for IT operations (AIOps) journey by implementing big data, advanced analytics and machine learning (ML).
• Skynet can ingest the tune of 2.1 billion data markers in one day across 4 markets, 6 key business services and 15 E2E client journeys which allows production engineering teams to have information “right now” and react to the aberrations instantaneously. Push notifications and text to speech digitized calls with skip up escalations enable first responders to react instantaneously.

Processes

• SRE process to be adopted

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Lead to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] *
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

• Graduate in any discipline with hands on experience in Python,Numpy,Pandas , SciKit or Keras.

• Help built a strategy & roadmap of analytics solutions that will position Standard Chartered as leading in this field
• Creating effective dashboards for business stakeholders
• Apply and ensure data governance framework.
• Develop and implement artificial intelligence algorithms, rules and rapid prototypes from big data sets that will be fed into various business programs.
• Behavioral segmentation based on client journey, profiles, transaction patterns, and app activities that will lead to highly personalized client insights.
• Design and monitor A/B testing and various engagement activities.
• Perform deep-dive analysis to solve various business problems arising from marketing, dynamic incentive programs, and campaign management.
• Build and automate intuitive dashboards that help visualize and answer complex business problems.
• Managing risks and regulatory issues associated in data analytics solutions.

Strategy

• The role would be suited to a candidate having experiences in data science and analytics field – developing models, rules and algorithms from structured and unstructured sources and performing deep-dive analysis to derive data-driven decisions
• Proven track records in building and deploying (financial services) analytic solutions that have created significant value for customers and additional revenue based on new business models.
• Experience in building dynamic dashboard (eg Tableau, Power BI) for business stakeholders will be an absolute must

Business

• Experienced working in an offshore model is required since role will be based in Bangalore with business stakeholders in Singapore and other overseas locations
• Strong data defining, structuring, labelling and developing data models to capture, store, process and use this data to generate intelligent outcomes through Data Analytics
• The candidate will have a profound knowledge of large data sets, data management, data governance, data science and metadata.
• The role requires close partnership with Cash, Trade, and Security Services Product organisation. Other key stakeholders include global Sales and Implementation teams, Technology, and risk owners such as legal and compliance.
• This role reports to the Data Analytics lead for Transaction Banking.

People and Talent

• University Degree or equivalent, preferably in computer science, engineering or analytical discipline, e.g. mathematics, statistics, IT, economics, finance, accounting.
• Minimum 8 years working experience in data analytics or business intelligence units, preferably in consultancy (eg Mu Sigma, IBM, Accenture) or financial industry.
• Relevant experience in using data is a pre-requisite.
• Analytical mind with sound business insights. Ability to translate the business problems and requirements into analytics solutions.
• Knowledge of a variety of predictive models, machine learning algorithms and statistical techniques, e.g. logistic regression, decision tree, clustering, neural networks, support vector machines, principal component analytics, natural language processing.
• Proficiency across the core statistical toolsets (SQL, SAS, R, Python), data visualization tools (Tableau, Qlik, Power BI) and Hadoop ecosystem.
• In-depth knowledge of digital banking, banking products and the overall industry a strong plus
• Good verbal and written communication skills.
• Excellent stakeholder management skills
• Self-motivated. Can-do spirit

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Lead the India / GBS Data Science and Analytics to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] *
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
• Help stay compliant with PRA governance standards and protocols

Key Stakeholders

• Global Transaction Banking (Cash, Trade, FM) product managers, Senior Executive of the Bank and client facing business