Lead Data Engineer / Developer (Python) - Manager
Finance
LeadDataEngineer/Developer(Python)-Manager
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“Lead Data Engineer / Developer (Python) - Manager at Lead Data Engineer / Developer (Python) - Manager. Skills: Python, Data Engineering, Cloud, Finance. Implement financial models in Python. suggest best practices for high performance”
What You'll Achieve.
deliver data and insights to our clients; driving the company’s digital transformation; expanding business capabilities; deliver creative technology solutions
Industry & Context.
Independently address and resolve production issues; perform root cause analysis; coding solutions to address requirements
What They're Looking For.
Must Have
10~14 years of IT experience, min 5+ years in python code development, Python Programming Language, Cloud Computing, SQL, PL/SQL, C Programming, mathematical quantitative background, Expert understanding of Python Core concepts, writing effective and scalable Python codes independently, Hands on Cloud AWS or Azure, Postgres DB experience, NumPy, Pandas, matplotlib, SAlib, Scikit-learn, Independently address and resolve production issues, perform root cause analysis, deep understanding of Python basics, multi-process architecture, threading limitations of Python, Implement financial models in Python, Automate advanced data aggregation methodologies, working with large and complex data sets, coding solutions to address requirements of financial institutions, Building CI/CD pipelines, integration with Github, JIRA, creating data pipelines, automation using AUTOSYS/AIRFLOW, Databricks, Establish processes and procedures for managing and accessing large databases, optimizing repetitive or computationally intensive tasks, Write technical documentation, functional documentation, maintain compliance requirement, Excellent interpersonal, Written and Oral communication, presentation skills, Ability to explain complex concepts in a clear and concise manner
Nice to Have
application development in Finance domain, working knowledge of financial and statistical concepts, working knowledge of banking regulations, MLOps, Quantitative Mathematical Model Development experience/implementation using multi-Asset data, quantitative financial research, market data analysis, vendors pricing and fundamentals dataset, 4~5 years experience in buy-side or sell-side research, Quantitative data modeling experience
What You'll Do.
Implement financial models in Python
suggest best practices for high performance
Automate advanced data aggregation methodologies
Implement on-the-fly and static data enrichment
implement heuristics to regularly monitor wide variances
Establish processes and procedures for managing large databases
optimizing repetitive tasks
Create end to end infrastructure for data gathering
Build CI/CD pipelines
create data pipelines
automation using AUTOSYS/AIRFLOW
Write technical documentation
Write functional documentation
maintain compliance requirement
How You'll Work.
Team & Collaboration
working closely with product
Communication Scope
Excellent interpersonal; Written and Oral communication; presentation skills; Ability to explain complex concepts
Process & Methodology
Ability to manage multiple projects and deadlines
Full Job Description
**Who we are looking for:** Looking for a Software Development Manager with 10~14 years of IT experience, strong min 5+ years in python code development. Also have experience in Python Programming Language, Cloud Computing, SQL, PL/SQL, C Programming. Who will play a key role as Data Engineer responsible for python data model development / implementation, time series data analysis, data anomaly deduction, ETL automation. Strong mathematical quantitative background, ideally with application development in Finance domain. **What you will be responsible for:** * Implement financial models in Python according to specifications provided by modelers and business users and suggest best practices for high performance and automated execution. * Automate advanced data aggregation methodologies for stand-alone execution in controlled environments. * Strong working knowledge of financial and statistical concepts. Ability to manage multiple projects and deadlines while maintaining strict attention to details. * Implement on-the-fly and static data enrichment logic; implement heuristics to regularly monitor wide variances in critical data. Establish processes and procedures for managing and accessing large databases, and for optimizing repetitive or computationally intensive tasks. Create end to end infrastructure for data gathering, data analysis, cleaning, signal generation & model implementation. **Must have Skills:** * Expert understanding of Python Core concepts, including both functional and class-based design. Experience in writing effective and scalable Python codes independently. * Hands on Cloud AWS or Azure using Databricks, Postgres DB experience. * Demonstrable experience with a range of common Python packages including NumPy, Pandas, matplotlib, SAlib, Scikit-learn. Independently address and resolve production issues and perform root cause analysis. * A deep understanding of Python basics, multi-process architecture and the threading limitations of Python. * Impleme
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