python, machine learning

Provide operational support for AI/ML systems required to solve various business needs for
Credit card service.
Collect analytics data and monitor AI/ML systems and related network performance.
Conduct analyses and interpret results to guide decisions related to AI/ML platform.
Apply cutting edge technologies and tool chain in AI to build and operate Credit Cards AI
platform
P ...ropose creative solutions in field of AI tools creations and cloud platforms (GCP)
Collaborate with cross functional teams to define, design, and ship new features
Continuous integration continuous delivery, in an onpremises or public cloud environment
Ensure good quality and performance of product features
Collaborative work with remote teams

Requirements
Bachelors degree or the equivalent in education and experience advanced degree preferred
3+ years of related experience working with AI/ML platform operations
5+ years of data analytics, migration experience with expertise.
Experience with Scikit learn, TensorFlow, Keras, Jupyter.
Solid experience of working with Google Cloud Run Operations.
Experience with Networking and command line operations.
Experience working with large data sets and writing efficient code capable of processing large
data streams at speed
Experience in containerization virtualization platforms, e.g. Docker Kubernetes.
Ability to work with people of varying levels of technical experience and translate complex
technical information appropriately

 Independent Integration Developer with over 3 plus years of experience in developing and delivering integration projects in an agile or waterfall based project environment

Proficient in the use of Informatica IICS API integration tool set

Proficient in Swagger, JSON, XML, SOAP and REST based web service development ...

Good knowledge in microservice architectures REST principles MQTT standards and Queuing technology

Experience in connecting to various API connection types and debugging connection issues using Postman and SOAPUI.

Experience in stubbing interfaces and outputs using appropriate technology to remove dependencies of upstream and downstream systems ready to use the integrations

Experience in Microsoft DevOps and integrating IICS platform into DevOps

Experience in using API management gateways like Google APIGEE

Strong Scripting experience and experience in using at least one programming language like Python or SCALA.

Experience in architecting with AWS or Azure Cloud Data Platform

Successfully implemented largescale data warehouse  data lake solutions in snowflake or AWS Redshift

Be proficient in Data modelling and data architecture design experienced in reviewing 3rd Normal Form and Dimensional models.

Experience i ...n implementing Master data management, process design and implementation

Experience in implementing Data quality solutions including processes

Experience in IOT Design using AWS or Azure Cloud platforms

Experience designing and implementing machine learning solutions as part of high volume data ingestion and transformation

Experience working with structured and unstructured data including geo spatial data

Experience in technologies like python, SQL, no SQL, KAFKA, Elastic Search

Hands on experience using snowflake, informatica, azure logic apps, azure functions, azure storage, azure data lake and azure search.

Python developer, Flask, Django, Python tech lead

Working on EMR good knowledge of CDK and setting up ETL and Data pipeline
Python
AWS EMR Athena Super glue Sagemaker Glue Studio ETL
Data security encryption
ML  AI
Pipeline
Redshift
AWS Lambda

devops

data modelling

1. Should be aware of Pharma related processes and standards, relevant experience in pharma domain.

2. Should be aware of Automation anywhere/Jiffy/Qlik platforms, relevant experience in similar tools.

3. Should be aware of Agile Methodology, relevant experience is preferred.

4. Should be aware of integration methodology for Qlik/BI To ...ols & Automation requirements across multiple source systems ? e.g. SAP, SharePoint, Azure, Data Lake etc.

5. Facilitate business engagement and understand business context of automation.

6. Communicating and collaborating with internal and external team to analyze informational needs and functional requirements, delivering use cases, GUI, screen and interface design.

7. Transform data into business intelligence by generating relevant information and recommendations for improving organization performance

8. Understand and gather business requirements and translate to the development team

(RPA and BI Tools)

9. Define user acceptance & testing strategies

10. Manage stake holders and project deliverables.

11. Creating and maintaining functional design documentation ? Wireframe/Mock-ups/BRD/User manuals/Benefit trackers/PDD etc

The candidate needs to have good understanding and knowledge about traditional machine learning regression classification clustering etc

The candidate should have sound statistics knowledge descriptive and inferential statistics

Good to have Deep Learning but the client is not very particular

The candidate should have good SQL skills. The candidate should ...be able to write SQL queries, though highly optimized query writing is not expected

The candidate should be able to work as individual contributor on a project own the project should be good at presentation and communication.

installing, configuring and maintaining SAS Application Server software and its integration with external systems and as a system administrator working with established change management processes

Model Risk Management (MRM) department resides is broadly responsible for the risk management of all of the Firm?s models involving model validation, risk assessment, and governance and act as an effective second line of defence within the Firm. seeking a strong candidate to be a member of the MRM Mumbai team, focused on the review, validation and risk assessment of quantitative models used in ...both risk management and capital planning. These models will cover areas of traded credit and capital planning. Primary Responsibilities ? Provide independent review and validation compliant with Model Risk Management policies and procedures, regulatory guidance and industry leading practices, including evaluating conceptual soundness, quality of modeling methodology, model limitations, data quality, and on-going monitoring for models ? Take initiatives and responsibility of end-to-end delivery of a stream of Model Risk Management related deliverables for Scenario Design models ? Follow financial markets & business trends on a frequent basis to enhance the quality of Model Risk Management. ? Write Model Risk Management findings in validation documents that could be used for presentations both internally (model developers, business unit managers) as well as externally (regulators). ? Verbally communicate results and debate issues, challenges and methodologies with internal audiences including senior management ? Represent Model Risk Management team in interactions with regulatory and audit agencies as required Qualifications Skills required (essential / preferred) ? Masters or Doctorate degree in a technical area such as Statistics, Mathematics, Physics or Engineering ? Experience in Validation of Capital Planning Models or Risk Models ? 4-6 years of work experience in a Quant role (preferably Model Validation) in a bank or financial institution ? Understanding of macroeconomics, markets, financial instruments and their interrelationships ? Experience in managing projects and managing a team o Quants ? Programming skills in Python, R or similar programming languages ? Relevant professional certifications like CQF, FRM, CFA are preferred ? Strong written & verbal communication skills including debating issues and making formal presentations ? Desire to work in a dynamic, team-oriented, fast-paced environment focusing on challenging tasks mixing fundamental, quantitative and market-oriented knowledge and skills.

Should have worked on atleast 2 data quality project · Implemented the Data Governance solution for one project . Ability to define the data catalog, business glossary and data lineage for the source data · Experience in using cloud based data governance tools · Hands on experience on Data Governance tool Atlan if not similar tools like Collibra, Ala
< .../p> More

Data wrangling with Python, Sql, php

Core responsibilities:

• Delivery of general maintenance tasks, including installation support of desktop maintenance to ensure the greatest level of stability, usability and availability is upheld at all times
• Keep users up to date with alerts, documentation, and any other tool specific information
• Migration of ch ...ange through the Development and Testing environments
• On-going maintenance and day-to-day support of the Tableau Desktop and related reports

  A focus on continuous improvement and a big picture view  Incident, problem and service outage management

 Managing/Administering Connections of data sources

  Develop metrics reporting in Tableau for management reporting

 Managing support tickets for creation to closure.

Skills & Experience:

·         Required skills:

o   3-5 years of relevant IT experience

o   2+ years experience in Tableau Admin

o   Ability to work autonomously and provide technical expertise

o   Experience working collaboratively across cross functional teams

o   Experience developing workbooks from multiple data sources using data blending.

o   Modify and troubleshoot existing reports and rebuilding or repointing existing reports to another data sources.

o   Performance tuning of reports.

o   Good understanding of database and Excel.

o   Knowledge and experience in other tools such as Microsoft Power BI is desirable.

o   Good communication skills.

Knowledge of Amazon cloud (EC2, RDS and S3) will be an added advantage.

About bluCognition:? bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered in the US, with the delivery centre based in Pune. We build all our solutions while leveraging the latest technology stack in ...AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world. Our clients are some of the biggest and the most progressive names in the financial services industry. We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who wants us to join in this exciting journey. The Role: The role is with Quadpay. Quadpay?s buy now, pay later platform gives savvy shoppers more freedom and flexibility to pay later anywhere. Customers can split any purchase in 4 installments over 6 weeks, with zero interest or hidden fees. Our ultimate goal: to create a world where everyone has access to the things they need and want from life. Together with Zip Co., Quadpay serves over 4.5 million customers and 30,000 merchants, with $3bn in annual payments globally. While continuing to grow exponentially in the US, the company is expanding internationally as well. Position: Analyst/Sr Analyst Credit Risk What will your day look like? Deliver risk solutions across credit risk (underwriting,?exposure controls and?line management) Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies Manage challenging time constraints to ensure on-time delivery of projects Build credit analysis models and provide data-driven insight on improving efficiency and effectiveness of the credit risk systems. Generate risk management reports for monitoring of acceptance rates Evaluating existing and new data sources to identify opportunities for customized and optimized data solutions that address business needs Collect data, analyse, and identify key differentiating indicators for risk segmentation and for driving effective risk mitigation strategies.? Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation.? Analyse loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc.? Work closely with data science team and recommends credit risk decisioning and model deployment strategy.? Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers.? Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team.? To help us level up, you will ideally have: Quantitative background in engineering, statistics, math, economics, business, or related disciplines.? 1 years? experience in analysing data and using database query language (e.g. SQL) analysis and programming and developer tools such as Python, R , databricks in a finance or analytics field.? Experience in working with non-traditional data such as social media will be a big plus.? Prior model building experience is a plus but not critical.? Possesses analytical mindset and strong problem-solving skills. Attention to detail and ability to multitask.? Comfortable working in a fast-paced environment and dealing with ambiguity.? Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams.? Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities

Advanced (PhD,Masters,Bachelors) degree in a Statistics, Engineering, Mathematics
field, Computer Science or other relevant disciplines
Have excellent conceptual understanding of Machine Learning and Deep Learning
algorithms
Interest in building End-to-End Machine Learning projects with full accountability
Excel in Data Wrangling, Cleaning, Feature Engineering and Data Visualizat ...ions
Must have strong experience in SQL, Python
Strong hands on Machine Learning experience across Classification, Clustering,
Regression, Ensemble Algorithms, Naive Bayes, Time Series etc
Solid understand of Statistical/ Computational concepts like Hypothesis Testing,
Statistical Inference, Design of Experiments, Data Structures
Hands on experience in Deep Learning knowledge across CNNs, RNNs, GANs, NLP
Applications, Computer Vision Applications, LSTMs, GRUs
Experience working in Cloud environment is a plus, not mandatory
Building Restful APIs with Flask, Docker Deployments is a plus, not mandatory
Have 2-6 years of experience in a role with similar skill set

Min of 5+ years of overall IT experience ? Working knowledge of Data Warehousing concepts and BI Reporting Tools. ? Should have executed at least two end to end Power BI report development projects (preferably with 3 to 5 years of exp in power bi desktop and power bi service) ? Expr working in Power BI Dataflows ? Expr in Powershell & aptitude towards DevOps Automation ? Expr working in ... Power BI Admin ? Good communication and interpersonal skills ? Work independently with different stakeholder & 3rd party teams to ensure project objectives and goals are met ? Experience in planning, estimating and delivering projects in Agile Scrum Model You will be expected to know below to a proficient level o Hands on knowledge in writing Transact-SQL queries, DAX, Power Query, Power Pivot and MDX. o Adept in visualization skills, developing interactive reports and dashboards with for visual insights o Experience in use of varied data connectors to on premise or cloud data stores with ability to quickly stage

1. Coding ? Good in SQL and Python. Should be comfortable in Excel
2. Statistics ? Basic understanding of statistics is expected
3. Modelling ? Basic knowledge on regression and classification model is expected
4. Good to have knowledge on Tableau

Must be good in python, data modelling, sql

Experience in sql, python, tableau, machine learning, customer analytics/retail industries

An individual who is strong with data exploration (Hadoop) and has a strong functional understanding of Tableau.
Responsible for processing and visualising raw data over a variety of software applications, BI professionals help companies process their raw data into insightful solutions to solve complex business problems. These experts create insightful, interactive, and visually a ...ppealing presentations of raw data as useful dashboards that generate high business impact.
Very strong in SQL query writing.

ust have minimum 4-7 Years in ETL and Data processing.

·         Must have Telecom Domain experience and Ab initio experience ? 2 to 4 Years and

·         Candidate must have huge experience in applications having large Databases and must have worked in any of the data warehouse as ...signment like Data marts, Data lake, Data mining, Business intelligence and Big Data analytics.

·         Must have very good understanding on Data at various stages, conversion of raw data as per business requirements, creating Extraction, loading & transformation flows between source ad destination systems.

·         Must be able to translate data access, transformation, and movement requirements into functional requirements and mapping designs. Must be able to convert un-structured data to structured models.

·         Has to be able to optimize data flows, creating data chains, setting up data audit and logging mechanism, data segregations based on modules, bring modularity in ETL and ELT cycles of the application.

·         Must have high proficiency in SQL, creating SQL scripts, creating complex & medium queries to create ETL/ELT flows and must develop logical and physical data flow models for ETL applications.

·         Must set-up data validation check at every stages of data movement to ensure quality of data as expected to the next stage of loading.

·         Must be able to lead the design of the logical data model and implements the physical database structure and constructs and implements operational data stores and data marts.

·         Has to identify data storage needs, calculate volumetric, creates and enhances data solutions enabling seamless delivery of data and is responsible for collecting, parsing, managing and analyzing large sets of data.

·         Must ensure to deliver performant solution for ETL/ELT and must be able to propose hardware needs based on size and expected performance criteria for the solution.

Please look for Data Engineer with ML, Hadoop, Kafka, Spark, Python and SQL as mandate skill.Experience with big data tools: Hadoop, Spark, Kafka, etc.

• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. ...u>
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
• Experience with microservice architecture, and design.
• Experience on machine learning toolkits like spark mllib, H20, scikit-learn, R and ML techniques.
• Strong command with machine learning libraries such as PyTorch and Tensorflow and knowledge of common integration patterns for serving inference with them.
• Proven track record of building and optimizing data sets, big data data pipelines and architectures
• Excellent problem solving and analytic skills associated with working on unstructured datasets
• Experienced in delivering real data feedback loops and streams for supporting highly available and scalable solutions with large transaction volume on a 24x7 operational cycle