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Job Description:

Job Description                Lead - Software Engineering - Financial Crimes Models & Analytics          

Description The Financial Crimes Models & Analytics team within Fidelity’s Enterprise Compliance group is responsible for the design, development, and optimization of Fidelity's Financial Crimes detection models. We partner with colleagues across Fidelity to build software and data solutions that support Fidelity’s Financial Crimes Compliance programs.

We’re seeking a passionate Senior Data Engineer to assist with the ongoing transformation of the firm’s Financial Crimes Compliance program. If you’re passionate about data engineering, data science, and technology to help fight financial crime, then this is an excellent opportunity for you!

The Team Our team has broad responsibility for the Fidelity Investments transaction monitoring systems across multiple business units. Coverage areas include: Cryptocurrency Trading and Blockchain Forensics, Insider Trading, Terrorist Financing, International Money Movement, Global Sanctions & Anti-Corruption, Elder Financial Exploitation, Negative Media screening, Market Manipulation, Securities Fraud, Low-Priced Securities, Emerging Risks and more. Our team collects and curates data and applies machine learning and emerging technologies to improve Fidelity’s surveillance and screening capabilities.

The Purpose of Your Role As a Senior Data Engineer, you will own the development of data pipelines that support next generation surveillance solutions on a wide range of AML typologies. This includes working with business partners across various domains to acquire data, performing data analysis, and building new features to improve our detection. You will be working with machine learning models, rewriting legacy models, and supporting the data preparation for our reporting efforts. You will also strive to simplify our infrastructure and production support complexity. You will develop model performance metrics and make model adjustments accordingly.

The Responsibilities of this role

Design data pipelines with a mind towards simplification, scalability, and re-use Develop features in Snowflake using SQL, DBT and Python that support the team’s work on identifying suspicious transactions and customers Create robust testing scenarios including unit testing and regression testing Support the development of experimental AI/machine learning algorithms into scalable, robust production-ready processes Help drive the future direction of the team’s technological initiatives Provide technical leadership, mentoring and training to other team members through code reviews, collaboration, and educational presentations Define and educate others about software development process standard methodologies Explore new technologies, emerging trends and determine their applicability to the team’s use cases; orchestrate the adoption of such technologies and trends where appropriate

The Expertise You Have

Bachelor’s degree in Computer Science or equivalent technical expertise Excellent proficiency in SQL Expertise in querying relational databases, e.g. Oracle, Snowflake and non-relational databases, e.g. MongoDB Strong proficiency in Python or another object-oriented programming language Familiarity with a distributed system such as Iceberg or Snowflake Experience in the software development cycle from design to implementation to testing, CI/CD, version control management/git, documentation, etc. Experience working with dbt (data build tool) is nice to have Familiarity with machine learning concepts Comfort with documenting highly technical solutions

Behavioral Attributes

You are thoughtful in the approach and design of technology solutions You’re committed to working with our business partners, systems analysts, data engineers, and data scientists to build the best system possible You adhere to and enforce engineering best-practices (Git, documentation, test automation) Love of technology — following trends and trying them in small scale to see how they work An eye for detail and commitment to quality and high standards Excellent oral and written communication skills

The Value You Deliver

Protect Fidelity’s customers and brand by identifying bad actors or victims on the platform Bring on the latest implementations of emerging technologies into Fidelity’s Financial Crimes Detection Program Detect suspicious activity occurring on Fidelity’s platform Support Fidelity’s new business initiatives, e.g. Fidelity Digital Assets Help develop your teammates by sharing your experience, expertise and perspective

How your work impacts the organization

The Financial Crimes Models & Analytics team within Fidelity’s Enterprise Compliance group is responsible for the design, development, and optimization of Fidelity's Financial Crimes detection models. We partner with colleagues across Fidelity to build software and data solutions that support Fidelity’s Financial Crimes Compliance programs.

We’re seeking a passionate Senior Data Engineer to assist with the ongoing transformation of the firm’s Financial Crimes Compliance program. If you’re passionate about data engineering, data science, and technology to help fight financial crime, then this is an excellent opportunity for you!

Company Overview At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates.

We are proud of our diverse and inclusive workplace where we respect and value our associate for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer.  

Fidelity will reasonably accommodate applicants with disabilities who need adjustments in order to complete the application or interview process.  Please email us at [email protected] or call 800-835-5099, prompt 2, option 2 if you would like to request an accommodation.

Fidelity Investments is an equal opportunity employer.

Location: Bangalore EGL Shift Timings: 9am to 6pm

Certifications:

Category: Information Technology