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Data Analyst 65

Real Time Daily Picks - 156 Jobs

Basic Salary: $65,000/year
A/I Ratio
Application To Interview Ratio
10 : 1
Related Skills: SQL, SAS, SPSS, Python, ETL, MS SSIS, SAP BODS, IBM DataStage, BI, OBIEE, SSRS, PowerBI, Tableau, Qlik, MicroStrategy, Excel, VBA

Sample Job Description

At KE Solutions, we’re proud to stand at the forefront of the Big Data revolution. Using the latest analytic tools and processes, we’re able to maximize our offerings and deliver unparalleled service and support. To help carry us even further, we’re searching for an experienced data analyst to join our team. The ideal candidate should be highly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, you should be committed to transforming data into readable, goal-driven reports for continued innovation and growth. 

  • Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks
  •  Identify trends and opportunities for growth through analysis of complex data sets
  • Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for data sets
  • Create best-practice reports based on data mining, analysis, and visualization
  • Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data
  •  Work directly with management and users to gather requirements, provide status updates, and build relationships
  •  Bachelor’s degree in Mathematics, Computer Science, Economics, or Statistics
  • Proven analytic skills, including mining, evaluation, analysis, and visualization
  • Technical writing experience in relevant areas, including queries, reports, and presentations
  • Strong SAS, Python, SQL or Excel skills with the ability to learn other analytic tools
  •  Prior experience with database and model design and segmentation techniques
  •  Experience in ETL and Business Intelligence (BI) would be an asset
  • Practical experience in statistical analysis through the use of statistical packages including Excel, SPSS, and SAS
  • Proven success in a collaborative, team-oriented environment

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Data Scientist 64

Real Time Daily Picks - 49 Jobs

Basic Salary: $90,000/year
A/I Ratio
Application To Interview Ratio
10 : 1
Related Skills: Python, SAS, Hadoop, Spark, Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning, NLP, Image Recognition, Classification, Clustering, Statistics, Mathematics, Programming, Story Telling, Kaggle, Unstructured Data, Data Science, Data Mining, CRISM, Predictive Modelling, Forecasting, SQL, NoSQL, Analytics, Scraping, pandas

Sample Job Description

KE Solutions is looking for a Data Scientist who will support our product, operations, sales, and marketing teams with insights gained from analyzing big data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining and data analysis methods, using a variety of data tools, building and implementing models, creating algorithms and running simulations. They must have a proven ability to drive business results with their data-driven insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.


Responsibilities for Data Scientist
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications for Data Scientist
  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
We’re looking for someone with extensive experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

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Data Scientist

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Risk Analyst 57

Real Time Daily Picks - 135 Jobs

Basic Salary: $65,000/year
A/I Ratio
Application To Interview Ratio
13 : 1
Related Skills: risk management, VaR, credit risk, liquidity risk, market risk, enterprise risk, KRI, capital, stress testing, modelling

Sample Job Description

Job Summary

Ÿ Reporting to the Senior ERM Manager, the Sr. Risk Analyst is responsible for managing and conducting risk analytics and modeling to support effective risk management at the Bank.

Ÿ This position has a focus on quantitative modeling and statistical analysis of economic assumptions, methodology, model development and validation related to managing various material risks, including but not limited to credit risk, liquidity risk, FX and interest rate risk, and capital adequacy

Roles and Responsibilities

Ÿ

Ÿ Be accountable for risk analytics and modeling, including developing scenarios and assumptions, applying appropriate quantitative methodologies, ensuring models work as intended and fit for purpose, and providing results and conclusions that are insightful to be used in business decision making.

Ÿ Collaborate with key stakeholders to perform quantitative analysis of material risk exposures with strong understanding of business fundamentals and risk drivers to support development of an appropriate risk appetite.

Ÿ Take a critical role in ICAAP stress testing, including but not limited to conducting stress tests according to OSFI E-18 Guideline, automating existing manual process, and ensure quality ICAAP documentation.

Ÿ Enhance IFRS 9 Allowance modeling, including but not limited to enhancing credit parameters (PD, LGD and EAD) modeling, enhancing ECL methodology, addressing data gaps, and ensuring quality documentation that facilitates relevant audit.

Ÿ Maintain and update risk analytics and modeling related policies and procedures.

Ÿ Improve model risk management framework, covering all aspects of model development, validation, maintenance, governance and documentation.

Ÿ Be a key player in enhancing Risk Data Aggregation and Risk Reporting by proactively identifying and addressing any potential issues.

Ÿ Perform 2nd line of defense review on Asset classification, Credit risk weighting, Credit risk mitigation of BCAR

Ÿ Collaborate with other Risk Management team members to develop effective risk methodologies, tools and templates to support risk management across the Bank.

Ÿ Develop excellent work relationship within the Risk Management Department and with other departments in the Bank to accomplish individual, team and organizational objectives.

Qualifications

Ÿ Bachelor’s degree in business, economics, mathematics or related field; master’s degree preferred

Ÿ Strong understanding of risk methodology and credit lending business fundamentals; experience in a retail and/or commercial banking environment preferred

Ÿ 4+ years of experience working in the risk analytics and modeling related area for an FRFI

Ÿ Solid understanding of regulatory requirements for risk management and internal controls, particularly for model risk management.

Ÿ Excellent strategic thinking, problem solving and analytical skills

Ÿ Ability to communicate and present effectively in written and verbal form, including presenting complex technical matters in a clear and concise manner

Ÿ Comfortable navigating ambiguity and adapting to a changing environment

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Risk Analyst

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