Supplier Relationship Manager (Inside Sales) | FinTech

1. Scouting for LAP loan leads

2. Collecting documents from customer and submitting it at nearby branch

3. Explaining all Loan related processes and charges to customer

4. Clearly communicating all loan related charges to customers

5. Having Loan case file in proper order

6. Ensuring all communication with customer once documents are received

7. Ensuring all TAT's are followed in moving the loan file forward

8. Providing all necessary customer support

About Us:

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, frameworks, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

What you will do at Episource:

You will be responsible for setting an agenda to develop and build machine learning platforms that positively impact the business, working with partners across the company including operations and engineering. You will be working closely with the machine learning team to design and implement back end components and services. You will be evaluating new technologies, enhancing the applications, and providing continuous improvements to produce high quality software.

Required Skills:

• Strong background in analytics, BI or data science deployments is preferable with 2-6 years of experience

• Knowledge of React/Vue, HTML, CSS

• Experience building and consuming APIs 

• Experience with MySQL, MongoDB and MEAN stack 

• Knowledge and experience with serverless architectures is a plus

• Hands-on experience with AWS or any major cloud service provider for deploying solutions

• Experience with Docker or Kubernetes in deploying solutions on the cloud

• Hands-on experience Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Knowledge of database languages such as SQL, NoSQL, AWS services, linux or Python

• Knowledge in PowerBI
• Good to have knowledge in Kibana (visualization) and Kibana Development tools
• Analytical and problem-solving skills
• Proficiency in Microsoft Excel
• Data visualization (simple aggregation-based charts to complex geo-based visualizations)
• Accuracy and excellent attention to detail
• Strong written/verbal communication skills

Qualifications and Experience

• 3+ years’ experience in Data Analysis or relevant working experience

Position Title: Manager – Security Operations Organization /Function: Manager is responsible for day to day operational and project delivery for a set of customers Relevant Experience: 10+ years of experience in security area and at least 2 years as Security manager Educational Qualification: BE/B.Tech/ME/M.Tech/Graduate/Master in any stream with excellent academic record

Must-have Skills: • Must know common security policy frameworks and possess knowledge of how security programs are run at mid to large scale companies • Must have managed a team to deliver “Managed Security Service” or “Security Operations Center” • Prior working Background in either SIEM tools (Splunk, ArcSight, QRadar, DNIF etc.) or Vulnerability assessment and Management tool (Qualys/Rapid7) and process • Has broader context and understanding of managed security services • Must have service mindset and empathy. Must deal with a level of ambiguity, chaos and apparent stubbornness from customers, and manage around it by thinking through the issue or request from the customer’s perspective to drive to a reasonable conclusion • Must have prior experience on Project Management • Must have prior experience of onsite-offshore delivery model and should have directly worked with US/European customers or colleagues • Must have ITIL process knowledge

The Position

This exciting role within Ashnik’s consulting team brings a great opportunity in terms of desiging and deploy Kubernetes platform solution for Ashnik’s enterprise customers, who are spread across SEA and India. This role takes a lead in consulting the customers for adoption of Kubernetes platform for their Digital Transformation journey.

Experience and skills required

• 8 to 10 years of experience in IT infrastructure
• Expertise on Linux and container technologies
• 2 to 3 years of hands-on experience in configuration and management of the Kubernetes platform
• Experienced with working on cloud service provider’s Kubernetes platform is an added advantage
• Proven technical skill in designing and delivering of enterprise level solution involving integration of complex technologies
• Knowledge and experience of CI/CD pipeline
• Good understanding of networking and software defined storage concepts
• Experienced in automation tools such as Ansible, Terraform is also highly desirable
• Shell scripting skills are required
• Experience of deploying, configuring, managing Kubernetes on public cloud platform

This role requires high degree of being a self-starter, working with diversified teams and with customers spread across Southeast Asia and the India region. This role requires you to be pro-active in communicating with customers and internal teams about various industry trends, technology development and crafting thought leadership.