We are looking for a combination of capabilities including Machine Learning to measure a client's historical performance and previous success of strategies in meeting the client's objectives, as well as predictive analytics to support scenario modelling, success forecasting and inform the options trading team on the best trades to achieve the client's desired objectives. 

Activities to generate sales leads are currently reactive, resource intensive and follow a loose and manual process to capture client needs involving on average several calls. There is a lack of tools available to support decisions made by the options trading team or for clients to be aware of options trading strategies. Additionally, there is a lot of manual research involved to match the best options trades with the client's objective and strategy. This new application will substantially increase the relevancy and speed in selecting optimal trades and trade strategies to pursue based on a client's objective, strategy, and criteria trade-offs. 

DESIRED SOLUTION

 AI-powered Options Trading Strategy to meet client objectives taking into consideration of client background, perspective, investment characteristics, market sentiment, and alternative market data analytics and insights

 A proactive AI-powered sales process that takes into consideration evolving client investment profile and opportunities to integrate options trading. Generation of the sales pipeline will be fully automated creating efficiencies within the trading desk, the identification of previously unforeseen sales leads and deeper coverage / scalability of the product within the addressable client base

 A combination of capabilities including Machine Learning, Predictive Analytics to identify prospects based on client profile, historical trading performance, and previous success of strategies. Intelligent monitoring and managing client open options contracts for optimal economic outcomes for clients and desired objectives

 The solution will deliver operational efficiency improvement by automating data gathering, scenario analysis, and pricing and liquidity model so team can shift focus to client engagement.

 Solution and technology deployed, Machine Learning, Predictive Analytics, Market sentiment, Alternative Market Data, reusable and can be redeployed and re-purposed across Capital Markets, Asset Management, and Front office solutions

Please review the attached files and use the Excel file to provide your quote.  Send your questions directly to the Experfy team at [email protected] since they are helping us in the selection process.

We need a computer vision expert to assist with obtaining dimensions of real world objects based on photos taken with recent iPhones or Android phones (only needs to be one for now and can be in controlled environment). Specifically, we will be obtaining the following dimensions from images of feet:

1. width at center of foot
2. length from back of foot to top left toe
3. length from back of foot to top right toe
4. Width from bunion point across foot 
5. Width across toes

We have access to several datasets we cannot post and can also obtain data based on advise from experfy hire.

This post is purposefully brief as to not reveal confidential information.  We can reveal more in interview.

Our investment firm is seeking an experienced Power BI developer to create dashboards, visualizations, and reports using the Power BI platform. Deliverables will include but are not limited to:

 

• Data model design

• Measures and calculations

• Visualizations and dashboard design

• Potential API integration 

• Power BI administrative assistance (automation, permissions, etc)

Experience with financial (investment) dashboard design is preferred but not required given we have a very good idea of the type of data/analysis required for the platform.

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One of our Fortune 100 client needs to create a bot to replace customer service representatives that help people who call in to pay less than their full monthly payment and set up an arrangement to pay the amount in full over time.

The team needs someone who can lead and execute on deciding what the sentence responses by the bot are to all different potential questions asked. This person should have linguist expertise as well as customer experience and tech voice enabled experience.

Technical qualification:

-Linguistics

-Customer Experience

-Conversational AI (understanding)

I'm looking for someone to help us take the next step in usage of Tableau across the organization.  This will be someone who has experience consulting with companies on how to get started using the tool and knowledge in tool usage to be able to answer my specific questions.  We are up and running and I've built many workbooks that work fine, but I am self-taught and want to advance more quickly.  I'm not interested in general training as I want to be personalized for my needs.

This is a highly interactive engagement in which I work with someone live to address my specific needs.  I would like available for at least a few hours between 8AM and 5PM Eastern Time.  Because of this live interaction, ideally, this is someone who is in southwestern CT and can spend time with me one-on-one in our store in Westport, CT.  However, virtual work through screen share is acceptable.

Mitchells is a retail business, so the data is based around customers and products. We are a company that has historically used large spreadsheets or pdfs of data for business decisions.  We've implemented Tableau in the last year, and are slowly working to increase adoption.  Retail experience preferred, but not required.

In addition to the list below, I'm open to your ideas of how we might improve.  My specific current needs are:

1) Moving from data grids/charts to more visual displays

2) Implementation of more advanced functions such as segmenting customers based on a characteristic and then using that aggregate as a dimension or adding images from a url into a worksheet or dashboard

3) Greater efficiency of structure of data sources and workbooks

4) Automated export of workbooks to a folder for external reporting

In terms of timing, I envision this engagement as being about 10-15 hours to start but then be available as we have pop up questions over time. 

The projet entails creating a biological clock. You will provide project management support to complete the following tasks:

1. Identify an initial set of biomarkers and datasets

2. Work with client to understand their current data science/engineering pipelines

3. Work with client to generate an prioritized list of biomarkers to be built out

4. Map out model development, validation and data architecture pipelines

5. Coordinate engineering of end to end product

6. As work on individual biomarkers come to completion begin UI/UX development

We need general help with Exasol:

1. Guidance on best practices in Exasol database design.

2. What console to use and how to install it on the free version of Exasol. And how to install other applications in the Exasol instance?

3. How to use the ETL, scripts, or both to manipulate data in the database for less complicated calculations such as splitting a value on one object to two or three subordinate objects based on a metric in the subordinate objects?

4. What are the options with tools (ETL and/or front end) that will allow a user to write back/make changes or updates to the Exasol database?

5. What open source front end for web presentation best fits with Exasol?

We also need help with the integration of R so that R code will execute in parallel and in-memory with SQL code (i.e., as UDF's):

1. The specifics of how scripting (UDF's for R) is integrated with SQL code.

2. How to pull multiple tables into the script executing activity?

3. Using the R output in both display (back to the user) and to update one or more databases?

Landscape: We have Exasol installed on a server and data has been loaded from a CSV file. The CSV was consumed in the format that our current in-memory data warehouse exported it. We are able to quiry the Exasol database through an SQL console but are having issues with the UDF for R integration.

Experfy is hiring on behalf of a Fortune 100 client. This is a one-year contract in Cupertino, CA and allows you to work at one of the most innovative companies in the world.

Key Responsibilities

Support our team with the development of high performance data pipelines.

Qualifications

Required:

5+ years of experience in Core JAVA and SQL

3+ years or experience in Python & Unix Shell Scripting

3+ years of experience in building scalable and high performance data pipelines using Apache Hadoop, Map Reduce, Pig & Hive

Experience with big data cross platform compatible file formats like Apache Avro & Apache Parquet

Experience in Apache Spark is a plus

Preferred:

Hadoop Certification or Spark Certification

Please respond with your resume and a crisp summary of your qualifications.

Only candidates who are authorized to work in the US will be considered. 

You will be vetting candidates for a Fortune 100 consulting firm. This will be done through video interviews using a system like Google Meet or Zoom.

If you have expertise in any of the following disciplines, we want to talk to you.

• Data Science and Machine Learning
• Chatbots
• Computer Vision
• Data Engineering
• Big Data Architecture
• Cloud Engineering
• Tableau
• PowerBI
• Core Java
• JavaScript

The job will require first working with us to come up with the interview format and standardizing what we capture for each candidate.  Next, we will begin scheduling video interviews that you will conduct independently. We expect that 95% of the candidates that you approve would be of the highest caliber.

Please respond with the following:

• The areas in which you are have expertise (please ensure that your Experfy profile contains enough information to back this up)
• Your availability M-F and exact hours for each day
• The number of hours per week you can give us