Job Description

Date: Jul 19, 2024


Location: Pune, India, IN


Company: ACA Group


About ACA:
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ACA Group is the leading governance, risk, and compliance (GRC) advisor in financial services. We empower our clients to reimagine GRC and protect and grow their business. Our innovative approach integrates consulting, managed services, and our ComplianceAlpha technology platform with the specialized expertise of former regulators and practitioners and our deep understanding of the global regulatory landscape.



Position Summary:

The Manager, ESG Analytics' role is to bring great Environmental, Social and Governance (ESG) data and analytics products to the market. This role is a leader on a team of sustainability professionals that provide data, analytics, and advisory services. The Manager is responsible for managing ESG data processes and quality, helping lead the Ethos product. Ethos offers ESG data and analytics products for public and private market financial professionals through a software platform and data delivery channels. The Manager, ESG Analytics leads a team of ESG data analysts and is responsible for the team's quality and productivity. The team is responsible for maintaining a growing database of ESG-related data on 10,000 companies and 7,000 funds. The team integrates information from company disclosures, government agencies, and third parties to provide ESG data and analysis to ACA clients.
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Job Duties:



1. Create/update risk models to accommodate new and changing inputs, new business logic, and the changing environment (threats, regulations, etc.) to ensure that models (continue to) produce meaningful and actionable outputs for clients

2. Extract and ingest data from API and websites using web crawling tools.


3. Own the creation process of these tools, services, and workflows to improve crawl/scrape analysis reports and data management.


4. Test the data and the scrape to ensure accuracy and quality.


5. Identify and rectify any issues with breaks as well as scale scrapes as needed.

6. Set up processes to run daily and identify quality issues in our database

7. Manage and update database tables and back-end code when quality issues are identified

8. Lead data integrity and integration, including improving the efficiency of current processes to source, clean, check quality, and integrate several dozen sources of cybersecurity- and ESG-related data

9. Guide the work of data analysts involved in extraction and cleansing

10. Suggest improvements to database architecture, where possible

11. Guide IT to build data science capabilities described above into enterprise systems


12. Provide input on refining our ratings methodologies based on input from customers, partners, and available market research

13.Support Sales and Advisors in client conversations as a cyber and ESG data expert, where required





Skills and attributes for success:



1. Solid Python skills (Python3, API integrations, Pandas, etc.)

2. Strong relational database and data modeling skills with SQL

3. Developing automated/scripted approaches to data cleansing, transformation, and analysis


4. Experience running large scale web scrapes; experience with simple natural language processing

5. Familiarity with techniques and tools for crawling, extracting and processing data (e.g. Scrapy, pandas, mapreduce, SQL, DBT, BeautifulSoup, HTML/Javascript, etc).

6. Familiarity with Linux, AWS, Docker and container orchestration technologies (ECS, k8n, etc.)

7. Multivariate data modeling; skilled at pulling insights from data.


8. Experience with system monitoring/administration tools, including handling failure of scripts

9. Experience with version control, open source practices, and code review

10. Familiarity with one or more common data modeling and statistical analysis software packages (e.g. SPSS, Stata); expert in MS Excel

11. Attention to detail, keen eye for quality, and self-motivated to continuously pressure test models and systems

12. Ability to learn and deploy an understanding of the high-level basics of ESG and cybersecurity

13. Work effectively with IT engineers to build data science capabilities into enterprise systems

14. Ability to relate to non-technical clients as a subject matter expert

15. Must be able to work independently; strong project management skills

16. Resourceful, able to articulate creative ways to solve problems and break logjams.

17. High tolerance to ambiguity, willing to roll up their sleeves to get stuff done

18. Willingness to learn and interest in opportunities that take you outside your comfort zone

19. Ability to build strong relationships and engage with multiple stakeholders in different parts of the organization



Ideally, you'll also have:



1. 3-5 years' experience in a data and analytics-related role.

2. MSc in Statistics or BTech in Computer Science or Data Science or MBA with Data and Analytics focus

3. Highly fluent scripting experience (Python, R, or similar)

4. Experience using ETL tools and data warehouses (ex: Airflow, SSIS, Snowflake)

5. Experience with Ruby and Ruby on Rails development



What working at ACA offers:



Opportunity to help shape and grow the organization's data and analytics products

Opportunity to build our Pune office and team

Gain access to world-class experts as your colleagues


Most importantly, every single day, work with kind, smart, hardworking people with a great sense of humor who appreciate you for who you are.

We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. Our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options as well as a flexible work environment. You'll also be granted time off for designated ACA Paid Holidays, Summer Fridays, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. We also offer unique benefits such as Student Debt Forgiveness and Pet Insurance.







What we commit to:



ACA is firmly committed to a policy of nondiscrimination, which applies to recruiting, hiring, placement, promotions, training, discipline, terminations, layoffs, transfers, leaves of absence, compensation and all other terms and conditions of employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.