lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Quantitative Developer
Category: Other
Experience: 11 years | English: fluent


15+ years in capital markets as a Financial Analyst, Quantitative Trader, and Business Analyst. Researched and developed algorithmic trading strategies, traded US stocks and ETFs, developed financial software and trading infrastructure.

Open to different forms of cooperation: full-time, part-time, project, consulting, profit sharing, partnership.

Some more keywords: trading platform, API, FIX protocol, financial market data, US equity, stock exchange, NYSE, NASDAQ, ARCA, CBOE, Equinix NY4, risk management, fixed income, statistics, quantitative analysis, arbitrage, probability, time series, low latency, HFT, high frequency trading, quantitative trading, ECN, OMS, EMS, order managements system, execution management system, order routing, capital markets, ITCH, OUCH, Pillar, PITCH, multicast, algorithmic trading, quantitative methods, quantitative research, proprietary trading, prop trading, market making, rebates, CTA, UTP, SIP, Reg NMS
I want to join a professional quantitative trading team. I also can help you with various business and technical matters related to trading in capital markets
Position: Quantitative Developer
Category: C++
Experience: 8 years | English: fluent


Quantitative Developer with 5+ years of experience in top-tier Investment Banks in Europe, currently based in Denmark. Main focus is XVA, market risk, derivative pricing. PhD in Physics from EU. Open-minded, pragmatic, result-oriented. Happy to consider a consultant or contract position.
Position: Quantitative Research and Data Analyst
Category: Python
Experience: 3 years | English: upper


- RM database development (AWS RDS)
- Developing price simulation algorithm for energy commodities
- VAR, CVAR, liquidity reserve, cash flow, option pricing, hedge strategy evaluation using Monte Carlo simulations
- Cloud based infrastructure development for Monte Carlo calculations (AWS EC2, AWS ECS) 
- Market risk management system development. Calculation automatization via user email request (imap, smtp, docker). 
- Algorithm development for market data uploading from various of resources (REST API)
- Data extraction from web sites (HTML parsing)
- Research and analysis European energy commodities market, including Front Office expansion strategy. 
- Ad hoc calculations for renewable power plant across the EU, including imbalance analysis and financial hedge strategy. 
- Team management via Azure DevOps, strategy creation for model development, as well as their integration into existing market risk management system.
- Integration with ETRM system.
- Report creation in BI Tools (Tableau, Power BI) 
- Telegram bot development with price analysis and option calculations for a Front Office. (aiogram)
Position: Quantitative Researcher, Data Scientist
Category: Python
Experience: 5 years | English: upper


Creating the trading strategies (US stock market, Cryptocurrencies). Detecting 
market inefficiencies and opportunities for algorithmic trading, identifying 
potential risks, profits, volumes, conditions for opening and closing positions, 
trading frequency etc. Backtesting the trading strategies and optimization of
parameters of the strategies using Machine learning algorithms
Position: Quantitative Researcher / Developer
Category: Data Science
Experience: 11 years | English: fluent

- Architected and developed in-house quantitative research platform for automated trading

- Developed statistical arbitrage models for trading pairs/triplets for US stocks with Sharpe ratio > 2

- Implemented numerous classical momentum TA based strategies for daily trading on US stocks market

-  Developed short term ‘flash crashes’ detector for FX futures allowing to improve market making trading model

- Leaded development of software complex for Automated Control Systems (ACS)
I have more than 20+ years in product oriented software development (using Java, Python) and last 10 of them I've been actively working on development and running algorithmic trading strategies for different markets.  

I've been managing and taking actively participation in development of own in-house platform for algorithmic trading strategies development. 

Platform provides backtesting trading models on historical tick data (using quotes, TAS or Level2 data) and then easy run it for multiple brokerage connections (any FIX based, or prop API related).  It's core is written in Java and there is ability to use either Java (for speed) or Python (if need to run some ML complex analysis) for creating trading logic. Platform is tracking all strategies that running live and providing instant view for portfolio risks and performance.

My main interests are focused mainly on but not limited of following topics:

 - Statistical arbitrage models (US stock market, futures market)

 - High Frequency trading models (rebates / transaction cost minimization / order book patterns)

 - Momentum models on currency market

 - Crypto assets arbitrage models

I have passion to finding hidden patterns in data. I know that markets are stochastic by its nature and it's very hard to predict future behavior but sometimes possible to see shining opportunities in data. Also I believe that it’s possible to spot and exploit these opportunities for investing if you have right tools and use systematic approach for research. That’s my main principles I’m using in my everyday work.
Definitely I'm not looking for any software development related position but interested mostly in projects related to quantitative trading on financial markets.
Position: Quantitive Data Scientist
Category: Data Analyst
Experience: 3 years | English: pre

Have participate and developed the system for a successful autonomous crypto asset trading agent, data mining, data extraction and research, trading strategy historical data backtesting, predictive models cross-validation, feature engineering and feature selection, risk models validation, portfolio allocation.
Quantitive Data Scientist with passion to quantitive research, machine learning, stochastic processes, time-series,
feature engineering and strategies development.
Experience
• VS Contract
Position: financier
Period of work: 1993 — 1998
• Defense Systems International
Position: financial director
Period of work: 2001 — 2015
Responsibilities:
- Management of the company's foreign accounts
- Preparation of international contracts
- Conducting commercial activities
• Reactive capital
Position: Quantitative Data Scientist
Period of work: 2017 — 2022
Responsibilities:
- machine learning, stochastic processes, time series
- development of functions and development of strategies
Education:
• Educational institution: National Technical University of Ukraine "Kyiv Polytechnic Institute"
Degree: master's degree
Name of specialty: design and production of radio equipment
Study period: 1985 — 1993
Skills and abilities:     • python,  • sklearn, • pandas, • matplotlib,    • numpy, • statsmodels,  • lightgbm,  • xgboost, • jupyter notebook,   • pycaret
Position: Quantitive Developer
Category: C++
Experience: 0 years | English: 

Built the real-time bidding system (over 25 000 transactions per sec.)
C/C++, Python, R, MatLab, MS SQL Server (SSIS, SSRS, SSAS)
Quantitive Developer, C/C++ Developer, Python Developer, BI Developer
Position: Quiality Department Director
Category: Lead
Experience: 11 years | English: upper

Building Department from zero to 90+ people during 7 years.
Realize continuous integration process by running more than 60000 various auto tests per day.
Highly experienced and results-driven quality assurance professional with over 18 years of expertise in
Automation Testing.
Instrumental in the creation of enterprise-level automation frameworks capable of executing
over 1,000,000 diverse automated tests daily. Took the lead as the product owner for an automation reporting
system, delivering real-time information on all automation runs and generating executive-level reports.
Throughout my career, I have showcased exceptional proficiency in developing automation tests, including
regression, functional, and smoke tests. I possess a strong command of various testing tools such as Selenium
and HP Mercury Quick Test Professional. In addition, I have successfully supervised and managed QA teams,
developed robust automation testing processes and frameworks, implemented continuous integration systems,
and conducted manual testing activities.
Position: QС Engineer
Category: SQL
Experience: 0 years | English: basic


• Experienced PC user;
• Good knowledge of office applications;
• Required basic knowledge of software testing;
• Understanding the different types of testing;
• Basic knowledge of writing test plans and test cases;
• Knowledge of stages of software development;
• Basic knowledge of OOP;
• Basic knowledge of SQL.
Position: QС Engineer
Category: QA
Experience: 1 years | English: intermediate


Junior QC Engineer Softserve
Large enterprise 3-product project intended to optimize business activities of B2B, B2C oriented companies.

- Requirements analysis; Working with networks and protocols
- Writing Automation tests with Selenium 
- Test Cases Creating and Executing, Bugs Reporting
- Root cause analysis 
- Communication with BA/PM
- Actively participate in weekly project team meetings and brainstorming activities related to the project 
.
Work in a startup school projects:
 Auto-Aid-Adviser in the DevOps/trainee position. AWS, EC2, S3, Route53, SES, Jenkins

project GeoRent on the QC Engineer position.
Position: Rails developer junior
Category: Ruby
Experience: 0 years | English: 


1+ years experience with Ruby, Rails. I have knowledge in HTML, HAML, Slim, CSS, Bootstrap, RubyOnRails, jQuery, JavaScript, Devise, Rspec, Cucumber, Capybara, Selenium, Git and many else interesting features.
Position: Rails / Front-end
Category: JavaScript
Experience: 1 years | English: intermediate

Still ahead, I'm working on that to realize myself in this world and move forward that would continually grow
One year like Rails dev
One year like html/css/js
In summary, I have 2 commercial years experience

HTML5/SASS +++++
Ruby on Rails +++ [use ORM]
Django +
React.js ++
Python ++
PostgressSQL ++

+ git + Linux/OS experience
GItHub/ GitLab/ Bitbuket
remote or relocate
Teamwork, skills improving, personal growth, career growth, interesting projects
I'm interested in working with Python, and I'd love to have the opportunity to come into contact with this in the future [just a wish]. I'm very happy to grow myself as a strong developer and be a part of the team, perhaps when I know enough and will be confident in myself, manage a personal team.
Position: R&D Cloud/Data Engineer
Category: Data Engineer
Experience: 3 years | English: fluent

- Designed and developed data infrastructure and pipelines for drug discovery in one of the world's leading pharmaceutical companies (Merck & Co./MSD)
- MSc with honors in Biomedical Chemistry from Czechia's largest technical university
- Dean's List award for outstanding research results
In my role as a data professional, I've designed and implemented robust data processing pipelines and infrastructure for the life sciences and pharmaceutical sectors, with a focus on designing cloud-based ETL/ELT pipelines, integrating chemical and biological principles into transformative algorithms for data curation, and leveraging machine learning techniques for insightful data interpretation. Embracing adaptability, I continually enhance my skill set with emerging technologies, fostering team performance and demonstrating proficiency with a range of DevOps tools, including CI/CD pipelines, containerization, and Infrastructure as Code (IaC) for the streamlined setup of cloud-based data infrastructure.

Here's a snapshot of my technological competencies:
– Programming & Scripting Languages: Python, R, SQL, Bash, TypeScript (minor experience)
– Machine Learning Libraries: TensorFlow, Scikit-learn, Keras
– Data Processing & Management: AWS (Lambda, StepFunctions, Redshift, DynamoDB, Neptune, SageMaker), PySpark, Pandas, SQL (PostgreSQL, SQLite), Airflow, Galaxy
– DevOps & Infrastructure: Terraform, AWS CloudFormation, AWS CDK, GitHub Actions (CI/CD), Jenkins, Docker
– Version Control & Agile Tools: Git, GitHub, GitLab, BitBucket, Jira
– Data Visualization: Seaborn, Matplotlib, Plotly
– Software Best Practices: Test-Driven Development, Object-Oriented Programming
– Cloud Platforms: AWS, OpenStack
I am considering opportunities in data-focused roles exclusively within the pharmaceutical, biotech, medtech, or life sciences sectors. Specifically, I am interested in positions such as Data Engineer, Data Scientist, or Machine Learning Engineer, where I can leverage my technical expertise and industry knowledge.
Position: R&D, Computer Vision, Image Processing, Machine Learning, Soplutions & Algorithms development
Category: Data Science
Experience: 11 years | English: upper

Participation in big international exhibitions;
Certifications: Microsoft Certified Professional
• Solutions and algorithms development
• Image analysis and processing
• Computer Vision
• Machine learning
• Activity recognition
• Multi-target tracking
• 3D Reconstruction
• Blobs detection
• Segmentation
• Object Recognition
• Morphological analysis
• Multiple factor analysis (MFA)
• OCR
• 3D modeling
• Interface design and implementation
• Project management
• C/C++/C#/VB
• .Net
• OpenCV
• Visual Studio
• Python
Innovative creative projects
Position: R&D | Data Scientist/ML Engineer (DL/CV)
Category: Data Science
Experience: 3 years | English: upper

• Developed SOTA Human Head Pose Estimation approach with the best accuracy among one-stage detectors (3.4 MAE) and Head Pose Augmentation

• Improved Instance Segmentation model's accuracy for AR Glasses by 30% (from 20 to 26 mAP)

• Was a major contributor to Samsung's Instance Recognition framework

• My master's work dedicated to Head Pose Estimation problem is recognized as the best in 2022 according to Computer Science Department of Karazin Kharkiv National University

• Conducted ML-related seminars
3 years of industrial R&D experience in Samsung Ukraine. 

Main area of expertise is Computer Vision field with focus on latest approaches in Classification, 2D/3D Object Detection, Semantic/Instance Segmentation, Pose Estimation and Spatial Understanding for mobile and AR devices with further commercialization.

• Expertise in Deep Learning: transfer learning, CNN architectures, model optimization/quantization
• Expertise in Python, OOP, SOLID
• Experience with SQL
• Experience with EDA, Feature Engineering, Tabular Data and tools (numpy/pandas/sklearn)
• Familiarity with GAN: Pix2Pix, CycleGAN, WGAN, StyleGAN
• Familiarity with AWS, C++, Docker
• Used to constant research of novel approaches for non-trivial engineering tasks
• Able to effectively communicate and collaborate

MSc in Computer Science.
Full-remote possibility
Efficiency is measured by results, not hours of work
Friendly team ;)
Position: R&D Director / Cloud/System Architect / Head of Infrastructure
Category: Lead
Experience: 11 years | English: upper

Certified Azure/AWS cloud Solutions Architect/Administrator/DevOps Expert
Managed about 5 teams with 30 employees in total.
Delivered about 20 multi/cross-platform projects with a high level of FTE.
Built-up to 10 developer teams.
Migrated, optimized, and decoupled OnPrem monolithic solutions to microservices in Cloud.
Involved in Mobile and UI Automation Frameworks development.
Designed and implemented a DB migration tool.
- Designed and delivered highly available/scalable/resilient/redundant/secure complaint/cost optimized cross-platform solutions.
- Developed software delivery strategic plan(e.g. blueprinting) including a time frame, risk management, etc.
- Built/managed/mentored developer/DevOps teams.
- Migrated infrastructure from OnPrem to Cloud.
- Spun up multi-environment Cloud infrastructure using IaC best practices.
- PreSales activities.
- R&D research, POC implementations,
- Quality attributes control. 
- Full-circle application support, profiling, analytics, monitoring etc.
I would like to be involved in the full circle of the application development process as a key player. 
Build software delivery processes/policies internally and on the Customer side.
Learn every day something new as well as share the knowledge with colleagues. 
A low level of bureaucracy hierarchy is preferable.
Position: R&D Director / CTO / Site Leader / Delivery Manager
Category: C++
Experience: 11 years | English: fluent

Established the innovation team for the in-house design of a new technological know-hows for automotive wireless telecommunications systems.
Inspire and fuel team's passion for innovation and engineering creativity for years.
The advanced signal processing algorithms invented and implemented by my team strengthened our customer at the market leader position in automotive telecom.
As company's CTO achieved the permanently high level of customers satisfaction and as the result, 8+ years of continuous collaboration.
IT professional with over 16 years of experience specializing in Embedded, Realtime Control / Signal processing, Telecommunication systems. Have good negotiation and organizational skills, a firm sense of responsibility. Capable of working effectively under time pressure. Passionate on blending science with engineering to new technologies that give distinct advantages in a highly competitive market.
I like to setup and drive challenging innovative R&D projects, motivate people with inspiration and creativity. The more innovation, research, science - the better.
Position: R&D Director, Delivery Director, VP of Engineering
Category: Lead
Experience: 10 years | English: fluent

•	Demonstrated leadership and people management skills
•	Strong analytical background with ability to deal with complex issues across multiple locations and business lines
•	Excellent verbal and written communication and presentation skills with advanced interpersonal interaction techniques and an understanding of when to employ those techniques depending on the situation. 
•	Demonstrated skill in client relationship management and ability to manage, direct and command respect from technical and delivery team members
•	Strong ability to learn new technologies in a short time
•	Self-motivated individual with strong attention to detail and troubleshooting skills. 
•	Solid multi-tasking, time and stress management skills.
Professional experience since 2004 (15+ years).  Management and Delivery experience sinсe 2010 (10+ years).

·	Managing portfolio of accounts within Company’s Finance Practice: from account economics to engagement with management and product teams on Client side
·	Ensured timely projects/programs delivery by leading offshore software teams, achieved high levels of customer satisfaction
·	Active business development: sales projects execution, management, and sales delivery support
·	Seek and detection business growth opportunities within accounts.
·	People and resource management: hiring, retention, rotation, etc. Managing teams 150+ FTE
R&D Director, Delivery Director, VP of Engineering
Position: R&D Director | Head of PM, Delivery | Program Manager | Lead Project, Delivery Manager
Category: Project Manager
Experience: 11 years | English: upper


I am looking for projects with inpiring mission, clear strategy and billion ambitions.

I have a particular weakness for the domains:
- ecommerce/retail - because did this business more than once by myself,
- fintech - because I am Economic Master degree and managed the fintech applications development repeatedly,
- healthcare - because there is mega experience in the digital information systems implementation on the million inhabitants city scale,
- tourism - because the traveler and made a successful project in this area,
- startups - because it happened to participate both as a performer and on the investors side,
- oil and gas - because I had a chance to pre-sale a SAP solution at the state corporation level, and this is very exciting.

The list is not exhaustive, there is enough experience to understand any domain and business line.

I considering the positions of R&D Director, Head of PM/Delivery, Program Manager, Lead Project/Delivery Manager and similar roles.

A little more about myself:
- 13+ years of experience in project/business management, building business processes, developing and implementing strategies.
- Have experience in managing people (including distributed teams), building a team from scratch, strategic and operational planning, budgeting, pre-sales, project implementation and maintenance, risk assessment, reporting (up to participation in international audits), strategic and practical marketing, experience in SCRUM, Kanban, Lean, Waterfall.
- Worked in product / outsourcing / private / public companies, as well as with BIG4 companies.
- Worked with the markets of Europe, CIS, China, Asia, USA, Australia and with many local stories.
- Worked with all popular task managers, know a lot of tools management related (from marketing and analytics to special programs), and also something that management rarely needs, for example, I can easily design a mobile application according to all industry standards (Hello startups: ).
- Remote since 2014, open for relocation, have valid visas.
Preferably ambitious tasks, national/international scale.
Full remote. Relocation is welcome.
Can work as inhouse employee, b2b, etc.
Position: R&D Director / Solution Architect
Category: Lead
Experience: 11 years | English: fluent

- Created and managed 6 teams.
- Started, managed, and architected 10 projects.
- Conducted 200+ interviews.
- Hired 30+ developers.
- Consulted 20+ other projects.
- Drove multiple changes to the organization.
- Led teams to victory in 3 hackathons.
- Organized 2 courses for developers.
- Gave 20+ lectures to students.
- More than 10 years of .NET experience.
- Worked as people and technology leader of multiple teams and projects for more than 5 years.
- Coordinated the development of both internal and public infrastructural services across countries.
- The services enabled software licensing, distribution, purchase, usage statistics, business intelligence, and others for a global expansion.
- Participated as a driver in the company's scaling and development.
- Created and spread technical strategy and vision.
- Introduced many architectural changes to existing products and ensured new products are following the same principles.
- Have passion and experience building highly-scalable distributed systems using cloud technologies.
- I expect to drive an organization's development to increase the scale and quality of products and processes.
- I prefer challenging environments that require adjustments.
- I understand it is hard to hire a leader from outside, so feel free to offer smaller roles with greater long-term opportunities.
- I will evaluate all the proposals and prioritize ownership over technologies.
- Programming language does not matter if no code is expected.
Position: R&D Engineer
Category: Python
Experience: 10 years | English: pre


I develop tools for computer graphics, for film and animation. In my free time I develop software solutions for computer vision systems, which analyzes and modifies video streams, as well as 3D reconstruction