Tech Lead Analytics Job in Deutsche Bank

Tech Lead Analytics

Position Overview

Profession:

Engineering

Position:

Senior Engineer

Functional Title:

Data Science Lead

Corporate Title:

VP

Local Grade (Regional):

VP

What well offer you

As part of our flexible scheme, here are just some of the benefits that youll enjoy

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under child care assistance benefit (gender neutral)
• Flexible working arrangements
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

Position Description

• The position is for a Senior Developer/Architect/Data Scientist.
• People management is nice to have and not mandatory .
• As the position is of senior engineer, it demands technical maturity in-terms of design decisions and overall vigilance of quality.
• The key result area of this position is teams ability to deliver high quality code/ data science models which are testeable, maintainable and meets all the business requirement.

Position Specific Responsibilities and Accountabilities

• Conceptualizes and designs ML models to reduce false positive alerts.
• Demonstrates effectiveness of models by comparing results.
• Reviews and approves designs and takes decisions on approprite options.
• Guides and grooms team members to deliver good quality code and ML based models.
• Reviews and approves stash pull requests.
• Supports high severity production incidents if there are any.

People Management

As such this is not a people manager role but still the individual should be

• able to coach others in the organisation, as appropriate

• Actively support the business strategy, plan and value, contributing to the achievement of a high performance culture
• Take ownership for own career management, seeking opportunities for continuous development of personal capability and improved performance contribution
• Act as a role model for new employees, providing help and support to facilitate early integration and assimilation of their new environment

Experience/ Exposure

• Hands on expert in Machine Learning Modelling.
• Hands on working exposure in NLP.
• Good experience / exposure of working in financial industry.
• Expert level knowledge of Python and associated libraries.
• Experience with Hadoop Ecosystem with concepts like Spark, Hive etc.
• Awareness/information about DevOps practices like CI/CD
• Hands on knowledge of Shell Scripting
• At-least 2 years of experience of working Machine Learning models.
• Demonstratable presence on Data science industry forums and competitions like kaggle.
• Demonstratable industry recognition for Data science knowledge
• Association with academic institute
• Overall 13+ years of work experience

Education/ Qualifications

• Bachelor Degree from an accredited college or university with a concentration in Computer Science or IT-related discipline (or equivalent work experience/diploma/certification).
• Ideally a mathematician who have educational background and understand statistical modelling and can apply modelling techniques to analyse data.

How well support you

• Training and development to help you excel in your career
• Flexible working to assist you balance your personal priorities
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs

About us and our teams

Please visit our company website for further information:

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Our values define the working environment we strive to create diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.

Click to find out more about diversity and inclusion at Deutsche Bank.