11+ ECL Jobs in India

About the company

DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.

Job Description

Department: Risk Analytics

CTC: Max 18 Lacs

Grade: Sr Manager/AVP

Experience: Min 4 years of relevant experience

We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.

Responsibilities

• Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
• Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
• Should be able to handle multiple tasks and must know how to prioritize the work.
• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
• Communicate results and business impacts of insight initiatives to the Management of the company.

Requirements

• Industry knowledge
• 4 years or more of experience in financial services industry particularly retail credit industry is a must.
• Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
• Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
• Experience in portfolio monitoring, model monitoring, model calibration
• Knowledge of ECL/ Basel preferred.
• Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
• Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
• Expertise in either R or Python; SAS knowledge will be plus.

Soft skills:

• Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
• Ability to multi-task good communication and team working skills.
• Ability to manage day-to-day written and verbal communication with relevant stakeholders.
• Ability to think strategically and make changes to data when required.

Job description

Who we are looking for

· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

· Mentor and coach other team members

· Evaluate the performance of NLP models and ideate on how they can be improved

· Support internal and external NLP-facing APIs

· Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

· Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioural Skills

· Strong analytical and problem-solving capabilities.

· Proven ability to multi-task and deliver results within tight time frames

· Must have strong verbal and written communication skills

· Strong listening skills and eagerness to learn

· Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

Hands-on experience with

· NLP

· Deep Learning

· Machine Learning

· Python

· Bert

Preferred Requirements

· Experience in Computer Vision is preferred

Job Title: Insurance Sales (Direct Channel)

Role: FLS ( Front Line Sales )

Total Exp: 3-5 Years

Relevant Exp: 2 years into insurance

Skills: Life Insurance Sales, Health insurance sales, Insurance sales

Locations: East, South, North, and West Zones.

• Set the vision, roadmap, and direction for the Customer Data Platform
• Collaborate with stakeholders and different teams from the organization to collect data, identify gaps, and create functional requirements.
• Champion customer data platform workshops and user adoption.
• Planning & execution ofonline campaigns on Marketing Automation tools (like Webengage,Clevertap) which includes email, SMS, Push Notifications, inApp notification, Onsite Promotions, Users Journeys etc.
• Responsible for Post-Install Conversion rates, User Engagements across primary Lines of Businesses & Other Health Metrics
• Use Segmentation, Personalization & Dynamic Content to drive the Multi-Channel & Multi-Device Communication strategy via Marketing Automation Tool to enable scale
• Implementation of the Marketing Automation Tools(Webengage/clevertap) - A Single Cross Channel Unified Platform to handle Data Aggregation (Search, Transaction & Analytics driven)
• Reactivation of inactive user base through various online marketing channels
• Work closely with Tech, Product, & Revenue Team to execute Engagement/ Retention Activities
• Using marketing automation on Webengage/clevertap to build hyper personalized dynamic content campaigns basis real time user triggers

• He has to perform architectural analysis, and he should know how to design enterprise-level systems.
• He should know how to design and simulate tools for the perfect delivery of systems.
• He should know how to design, develop, and maintain systems, processes, procedures to deliver a high-quality service design.
• He has to work with other members of a team and other departments to establish healthy communication and information flow.
• He should know how to deliver a high-performing solution architecture that can support the development efforts of a business.
• He has to plan, design, and configure the most typical business solutions as needed.
• He has to prepare technical documents and other presentations for multiple solutions areas.
• He has to be sure that the best practices for configuration management are carried our as it was needed.
• He has to work on customer specifications, analyze them, and conduct the best product recommendations associated with the platform

Requirements

• AWS Solution Architect 9-10 Years
• Responsible for managing applications on public cloud (AWS) infrastructure.
• Responsible for larger migrations of applications from VM to cloud/cloud-native.
• Responsible for setting up monitoring for cloud/cloud-native-based infrastructure and applications.
• MUST: AWS Solution Architect Professional certification.